Skip to main content

REVIEW article

Front. Psychiatry, 30 January 2023
Sec. Personality Disorders
This article is part of the Research Topic Reviews in Psychiatry 2022: Personality Disorders View all 10 articles

The evolution of personality disorders: A review of proposals

  • 1Hospital Clínic de Barcelona, Institute of Neuroscience, Barcelona, Spain
  • 2Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain

Personality disorders (PDs) are currently considered dysfunctions. However, personality differences are older than humanity and are ubiquitous in nature, from insects to higher primates. This suggests that a number of evolutionary mechanisms—other than dysfunctions—may be able to maintain stable behavioral variation in the gene pool. First of all, apparently maladaptive traits may actually improve fitness by enabling better survival or successful mating or reproduction, as exemplified by neuroticism, psychopathy, and narcissism. Furthermore, some PDs may harm important biological goals while facilitating others, or may be globally beneficial or detrimental depending on environmental circumstances or body condition. Alternatively, certain traits may form part of life history strategies: Coordinated suites of morphological, physiological and behavioral characters that optimize fitness through alternative routes and respond to selection as a whole. Still others may be vestigial adaptations that are no longer beneficial in present times. Finally, variation may be adaptative in and by itself, as it reduces competition for finite resources. These and other evolutionary mechanisms are reviewed and illustrated through human and non-human examples. Evolutionary theory is the best-substantiated explanatory framework across the life sciences, and may shed light on the question of why harmful personalities exist at all.

1. Introduction

Personality disorders (PDs) have increasingly been considered to be pathologies (1), that is, psychobiological dysfunctions caused by genetic defects, poor parenting, trauma, or a combination thereof (2). This is not an unreasonable claim: All body systems may malfunction, and the motivational, emotional, and cognitive systems that constitute personality are unlikely to be an exception. Moreover, extreme personality traits may impose costs on their carriers or on the people around them, causing affliction and harming every aspect of life, including employment, family, social life, status, health, or personal autonomy (3, 4). In fact, they may place a burden as great as that of many severe mental or physical disorders (5).

This view, however, is not unanimous. The pathological nature of PDs was dismissed at the very outset (6) and remains controversial today: The expected dysfunctions underlying PDs have proven elusive (2), their boundaries with normality are fuzzy (1, 7), diagnosis is heavily influenced by social judgment (8, 9), and the evidence of their harmfulness is mixed at best (1014).

Also from an evolutionary perspective, the fact that natural selection has been unable to eliminate PDs has been regarded as a paradox (15, 16). The heritability of PDs is reported to be as high as 45% (2, 17). In consequence, one might expect them to be eroded by natural selection at a rate proportional to their heritability and harmfulness (15, 18). The fact is, however, that they remain in the population with prevalences ranging from 9–12% (10, 19), which raises questions about their dysfunctionality.

Evolutionary theory is proving critical for understanding human health and disease, including infections, cancer, and auto-immune diseases (2022), but attempts to unravel personality and its disorders from this perspective have only just begun (2325). We now know that personality differences are ubiquitous in nature, from insects to primates, and that these differences are relevant for Darwinian fitness (2629). For this reason, understanding the evolutionary bases of heritable personality variation has become a major aspiration in evolutionary biology (30). Although apparently maladaptive traits are not uncommon in non-humans, they are routinely conceived as strategies, not disorders (27, 3133). Therefore, it is not implausible that personality variation is maintained in humans by the same mechanisms as in other species.

This review offers a brief recap of the main principles of evolution by natural selection (section “2. The spread of the fittest”), outlines the evolved action systems that underlie personality in humans and other animals (section “3. Action systems”), and provides a general overview of the diverse mechanisms that can maintain personality variation (sections 4–8). It ends with some remarks on how evolutionary theory can aid the understanding of normal and disordered personalities (section “9. Discussion: What is a personality disorder? “).

2. The spread of the fittest

The basic mechanism of natural selection is simple (18, 34). Members of a species differ phenotypically from each other. These differences are partly due to genetic mutations that are continuously emerging anew; they accumulate in each generation, and are transmitted to the offspring. As mutations occur randomly (i.e., they are copy errors), most of them produce harmful or at best irrelevant traits (35). Thus, all variation arises first by mutation, and it is on this variation that natural selection acts. Carriers of disadvantageous traits, say weakened immunity or a slower running speed, will on average die before than their conspecifics, or will produce fewer descendants, with the result that these traits will tend to die out. In fact, small disadvantages can eliminate a character within a few generations (15). In contrast, a minute proportion of mutations produce traits that, just by chance, provide the individual with some advantage over its fellows: For example, a greater ability to metabolize oxygen, a skin that facilitates camouflage, or a greater proneness to look after offspring. The frequency of this trait in the population will increase through the successive generations, and it may eventually replace the wild type. Thus, natural selection is the differential reproductive success of individuals due to differences in certain heritable traits. This success is what we call fitness. Any trait—strength, ability, attractiveness, longevity, health, intelligence, sociability, memory—maintained because of its positive effects on fitness may be an adaptation.

Fitness is most often measured through lifetime reproductive success (34, 36, 37). To ascertain whether a trait enhances fitness, we can assess whether individuals carrying it produce more children over the course of their lives than those who do not. Furthermore, given that other components such as survival and mating success are key preconditions for successful reproduction, they are commonly used as indicators of fitness. If a trait is associated with more or better mates, or with a longer life, we may consider this trait to be adaptive. Finally, organisms differ in a range of traits such as health, strength, attractiveness, intelligence, or certain personality features, which may determine fitness outcomes. However, only when these traits modify the number or quality of the progeny are they evolutionarily relevant. Conversely, any heritable trait leading to differential reproduction will increase or decrease its frequency in the population: That is, it will evolve by natural selection. In essence, selection may be thought of as a funnel, with countless traits having a more direct or remote impact on fitness components, and sometimes having intricate relationships with each other (Figure 1). Only traits whose effect is exerted at the very end of the funnel will have an adaptive significance.

FIGURE 1
www.frontiersin.org

Figure 1. Individual traits must pass through the reproductive success funnel to be evolutionarily relevant. Adapted from Gutiérrez (38) with permission from Siglantana Editorial.

3. Action systems

Action systems are evolved psychobiological programs that guide organisms’ behavior toward relevant resources and away from menaces (Figure 2). These programs are innate, but are calibrated during ontogeny by tapping into environmental cues (38). Although each one has different triggers and biological goals, and operates independently, they can also activate or inhibit one another. Their ultimate function is to adapt the individual to the environment, maximizing gene transmission. Action systems are probably not mechanisms in a literal sense, but rather overarching categories encompassing narrower-range functionally related systems on whose exact architecture and organization agreement remains incomplete (3944).

FIGURE 2
www.frontiersin.org

Figure 2. Personality disorders are not qualitatively different from normal personality: They are located at the extremes of basic action systems. Adapted from Gutiérrez (38) with permission from Siglantana Editorial.

The relative sensitivity and strength of action systems vary among individuals, giving rise to personality differences (45, 46). In fact, action systems can be understood as the dynamic processes behind personality structures (47), with which they show approximate parallelism (40, 46, 48, 49). They also have a conceptual overlap with the main axes of pathological personality, which can be assumed to reflect their hypoactivity or hyperactivity (39, 5052). Categorial PD diagnoses, which are heterogenous constructs based on clinical observation, may be located at the extreme of one or several systems (Figure 2) (53).

The alarm system is designed to react to threats to biological goals via automatic defensive responses (40, 46). These consist of diverse aversive emotional states—anxiety, fear, sadness, anger, disgust, guilt, shame, jealousy—attuned to specific mishaps, and behavioral responses such as vigilance, avoidance, flight, freezing, appeasement, or aggression, among others (54, 55). Managing threats is not only necessary for survival; it is probably the main reason why we have a nervous system at all. Despite being a universal device, individuals differ greatly with regard to its sensitivity and strength. While some perceive threats everywhere and live chronically frightened by real or imaginary hazards, others seem unaware of possible damage or loss, and take unwise risks. Negative emotionality (or neuroticism) reflects this variation, with its upper pole covering a range of distress-related traits such as affective instability, anxiety, worry, insecure attachment, mistrust, rage, or self-harm (56). Overreactive defense mechanisms underlie many PDs, especially borderline, avoidant, and paranoid, though the threatening situations differ in each one (abandonment, negative judgment, and betrayal, respectively), whereas schizoid and antisocial personalities show hypoactive alarm systems (53, 57, 58).

The incentive system detects resource opportunities calibrated by an individual’s needs, and energizes behavior toward appetitive stimuli (40, 50). Besides homeostatic needs such as food or liquids, it encompasses subsystems aimed at exploring the environment, hoarding material assets, playing, maintaining social contact, having sex, or attaining status (46). Its variation is related to extraversion and positive emotionality (39), but also to impulsive sensation seeking, unrestrained behavior, risk-taking, and disorderliness, which characterize the disinhibition domain and some cluster B disorders (53, 56). Subjects with robust incentive systems experience urgent and absolute necessities and are attracted by any bait disregarding calls for caution, only to forget it immediately and to head for the next one. The hypoactivation of this system, in contrast, defines people who naturally experience few needs and weak motivations, such as detached or schizoid personalities.

The third system, the affiliation system, drives us to exchange company, protection, and affection with our conspecifics and to establish enduring bonds, or alternatively makes us indifferent to them. It actually involves a variety of relatively differentiated action systems such as attraction, pair-bonding, care-eliciting, care-giving, or reciprocity (41, 44, 59). These systems, particularly in avian and mammal species, fulfill fitness-related functions such as obtaining protection from attachment figures during growing years, making friends or allies, attracting and retaining mates, or keeping offspring safe. Histrionic, dependent, and borderline PDs may reflect the hyperfunction of some of these affiliation subsystems (53, 58). In contrast, low affiliation is a tendency toward emotional restraint, unconcern for social involvement, and discomfort with intimacy, which is typical of detachment (53). This pole also includes dissocial and antagonistic features, such as low empathy, selfishness, opportunism, distrust, and hostility, which are present in paranoid, narcissistic, and antisocial PDs (57).

Finally, the behavioral control system inhibits impulses arising from all the above systems in accordance with the individual’s future interests, such as valued long-term goals or social reputation. If it is weak, it leaves the individual at the mercy of these urges (39, 40, 50, 60). In fine, it makes decisional balances between current and future opportunities and perils (61). Conscientiousness, self-regulation, and effortful control are valued qualities but, when extreme, may lead to the perfectionistic and hardline attitudes that characterize anankastia (62). Per contra, the underactivity of this system implies discounting the future and is typical of cluster B disorders (53, 58).

A further system concerns the dominance-submission axis (63), which is paramount in social species but occupies only a minor place in human personality taxonomies (64). Dominance is characterized by a sense of superiority and self-worth, striving for power, and signaling authority and competence; it is the main feature of narcissistic personalities (64, 65), and is often assigned to the antagonism-dissociality axis. Subordination entails low self-esteem, the need for approval, fear of negative evaluation, and appeasement behaviors; it is related to avoidant and dependent PDs, and is generally subsumed into the negative emotionality domain (66).

As might be expected, action systems are not specific to humans. Other animals not only have personality, but their personality is organized along roughly the same axes as ours (26, 28). Neuroticism and extraversion have been found throughout the phylogenetic tree as far away from humans as fish, octopuses, and insects (67), which means that personality is at least 100 million years older than Homo sapiens. Affiliation and dominance systems have been found only in gregarious species, mainly mammals, and control only in higher primates and humans.

4. How a harmful trait can still be advantageous

The first reason for the permanence of PDs in the population is that unpleasantness or social undesirability imply neither dysfunction nor low fitness. That is, while clinical adaptation refers to attaining wellbeing and fulfilling socially assigned roles, Darwinian adaptation is just about spreading genes (7, 68, 69). Not only is suffering often irrelevant to fitness, but certain clinical conditions may enhance fitness after all. For example, fertility falls below 50% in affective, neurotic, and psychotic disorders (15), whilst PDs do not cause significant reproductive disadvantages overall (12). On the other hand, PD diagnoses include heterogeneous or even opposite personality patterns, so that taking them as a whole will obscure the fact that some of them definitely increase resource acquisition, deter risk-taking and antisocial acts, multiply the number of mates, or increase reproductive output (11, 12, 14, 70, 71). As a consequence, the idea that PDs are alternative strategies rather than disorders is gaining ground (23, 31). Neuroticism, psychopathy, and narcissism have been widely studied and imply the principal action systems, and so they will be taken as illustrative examples here.

4.1. Neuroticism and the alarm system

Neuroticism (or negative affectivity) is probably the most detrimental personality trait ever found (72). It causes unending concerns that comprise reduced wellbeing, relationship troubles, career difficulties, and health problems including psychopathology (13, 73, 74). The repeated enactment of a hyperfunctional alarm system wastes energy, interferes with all other action systems, and produces physiological damage in the long run, resulting in premature death across species (74, 75).

Intriguingly, although recurrent fears and miseries may result from the dysregulation of alarm circuits, they may also be part of their normal, survival-enhancing operation (7678). The fact that red-flag responses are aversive is an essential part of their utility, as unpleasant emotions mobilize defensive behaviors. Even if we assume that it is their excessive frequency, intensity, or duration that turns them into a disorder, “excess” does not mean the same thing from clinical and evolutionary perspectives. This has been formulated probabilistically in the smoke detector principle (68). Usually, responses to threatening stimuli are rapid actions, taken under conditions of uncertainty, which imply asymmetrical errors: Namely, triggering a false alarm is a far less costly error than failing to respond to a real menace. Under these conditions, natural selection reduces not the overall rate of mistakes, but the net negative effect of mistakes on fitness, displacing the trigger threshold toward the less harmful error (79). In consequence, well-functioning alarm systems tend to misfire when nothing harmful is happening.

Despite plenty of evidence to the contrary, certain studies indeed suggest that neurotic traits can lower mortality in some circumstances (78, 80). Improvements in survival may occur through either health vigilance or harm avoidance (81). For example, internalizing dispositions in childhood predict a 3–9% reduction in injury rates in adolescence and adulthood (82), and subjects who are anxious at age 13 reduce their probability of accidental death at age 40 by a factor of six (83). Evidence on more specific forms of threat sensitivity is lacking—for example, enhanced detection of potential foes in paranoid, abandonment in dependent, or disapproval in avoidant PDs (76, 79). In sum, although neuroticism is hardly ever welcome, it may not always be a defect but may be the increased (and therefore costly) activity of risk-averting adaptations aimed at increasing survival (68, 77, 78, 84, 85).

4.2. Psychopathy and the attachment system

Psychopathy includes traits such as impulsivity, risk-taking, future discounting, fearlessness, callousness, and non-cooperative tactics (86). In fact, it involves all action systems: A hyperactive incentive system, along with weak alarm, affiliation, and control systems (87). However, it is its opportunistic interpersonal strategy that has attracted the most attention. Interestingly enough, whereas the search for the deficits behind selfishness and lack of empathy is ongoing (88), what has truly puzzled evolutionary biologists is the existence of altruism and empathy in living creatures (89). Indeed, exploiting or harming others is often not detrimental for the individual, and can constitute an effective (though risky) way of enhancing one’s own fitness (90). Far from being diseased, some psychopaths seem finely designed to trap prey (91). For example, like many predators, they are able to use the prey’s gait to estimate its vulnerability (92).

However, the strongest card of psychopaths regarding fitness has been deemed to be their promiscuous, uncommitted, and opportunistic mating strategy, purportedly aimed to gain reproductive benefits (9396). Rather than being a rarity, unrestricted sexuality is almost universal in nature including our own phylogenetic branch, as 93% of mammals are non-monogamous (59). Furthermore, many people find psychopaths alluring, and traits such as novelty seeking, low empathy, or disinhibition boost the number of mates (12, 14, 94). More specifically, though both sexes prefer risk avoiders for long-term relationships, risk takers are favored for the short-term (97). This is not exclusive to psychopaths: Cluster B subjects as a whole also turn out to be more attractive to the opposite sex (71, 98, 99), and triple the number of sexual partners (12, 70, 100). Though cluster B subjects have been shown to out-reproduce their low-B counterparts (12, 101, 102), whether psychopaths ultimately have greater fitness in reproductive terms is less clear. Greater reproductive success may be offset by poor parenting (103, 104). Furthermore, legislative changes and effective birth control appear to have partially uncoupled mating success from reproduction (14, 105). Even so, some evidence suggests that reproduction at the expense of others may still be the successful strategy it was ancestrally (93, 106).

4.3. Narcissism and the dominance system

Although narcissism shares with psychopathy its mating strategy (94, 99), it is particularly characterized by its striving for escalating the hierarchy of status, power, or fame (65). Hierarchy formation is ubiquitous among social species. Contrary to appearances, it reduces conflict by resolving problems of allocation of limited resources, within-group discord, and collective action (63, 107, 108). Humans who do not previously know each other rapidly and spontaneously self-organize into a hierarchy, and this is so from the age of three (109). Rank is partly determined by personality traits of dominance and subordination, which are signaled to others through cues such as size, formidability, self-confidence, initiative, voice pitch, facial expression, or body postures, depending on the species (110112). A fierce struggle for status is not pathological in nature, though it does entail costs, such as the energy devoted to aggressively maintaining rank or a shorter lifespan in some species (113, 114). In humans, narcissism and dominance also tend to bring social discord, but above all they cause distress to others (115, 116).

Narcissists not only crave high status but, unexpectedly for a disorder, quite often achieve it (11, 117), in the form of charismatic leadership (118, 119), job level (11, 112), income (120, 121), and popularity (122). Status, once achieved, provides huge benefits for the holder (123126), and many of the advantages associated with narcissism may come in this way (117). For example, unlike psychopathy, narcissism is a buffer against health problems and premature death (127). Longevity may increase not only owing to material welfare, but also to the psychological consequences of high status (128). Notably, Nobel Prize winners live longer than just nominees, and graduates longer than poorly educated people (129, 130). Status multiplies the number of mates in men, and these mates are younger and more attractive (131133). It has historically enhanced fertility as well (134136), though this is less clear since the demographic transition (137) or in women (133, 138).

Interestingly, accession to high rank may also trigger a feed-forward loop of dominant and narcissistic traits (139). There are increases in self-esteem, assertiveness, tolerance of stress, executive functioning, creativity, and disregard for others (125, 140). Serum levels of serotonin and testosterone increase within days or weeks and profound changes in neural activity are triggered (141143). These changes make retreat during fights less likely, and increase the chances of further escalating the hierarchy (144). But even the most bothersome features of narcissists, such as the will to hang on to power or to regularly receive recognition, may be part of the normal functioning of the power pyramid across species. For example, some male crayfish (Procambarus clarkii) are sore losers that will rather die than giving up their hierarchical position (141), and dominant treeshrews (Tupaia belangeri) stop eating and fighting back after defeat, and die from renal shutdown within 2 weeks (145). In an iconic experiment about claiming recognition, the serotonin levels and humor of alpha-male vervet monkeys (Chlorocebus pygerythrus) collapsed when they stopped receiving submissive signals from subordinates (146), though they recovered on fluoxetine as also occurs in humans (147). Narcissism may then be a high-risk high-reward strategy that pushes individuals to the apex of the status hierarchy if it succeeds, but crushes them if it fails (64, 148). In the end, an adaptive trait does not need to always succeed—only on average.

5. Variation maintained despite natural selection

Showing that a clinically maladaptive trait may actually be beneficial for fitness is not the same as explaining variation. In accordance with the above, we could expect these advantageous traits—anxiety, promiscuity, or ambition—to give the highest payoffs and then spread in the population, displacing less successful alternatives (149151). On the contrary, the norm in nature is variation (152, 153). Why and how individual differences are maintained is unknown, but a number of evolutionary mechanisms have been held to be able to maintain trait variability in the population (Figure 3) (29, 30, 149, 152, 154160). Some of them assume that variation is maintained not because of natural selection, but in spite of it. Human and animal examples may be used indistinctly by way of illustration, as these mechanisms are thought not to differ between species.

FIGURE 3
www.frontiersin.org

Figure 3. Evolutionary mechanisms which are able to maintain variation in behavioral traits. The mechanisms are not mutually exclusive. The schema is based on (29, 44, 69, 156, 159, 160).

5.1. Neutrality

Individual differences in personality were initially regarded as mutational noise around an adaptative peak of optimal functioning (161). This variation was considered to be inconsequential for fitness and therefore invisible to selection, meaning that it cannot be removed. The weakness of this proposal is that personality is consequential (73, 74). In fact, personality has been shown across species to bear upon central components of fitness such as survival, mating, and reproduction (16, 2729, 73, 74, 154, 156, 162164). For this reason, selective neutrality is no longer considered a plausible explanation for personality variation (16, 165).

5.2. Mutation-selection balance

Nevertheless, variation could be maintained by random mutations which are mildly detrimental, with the result that natural selection is unable to remove them completely. Each human being inherits around 70 new germline mutations, though with large differences between individuals (166). These mutations are far more likely to be deleterious or neutral than beneficial (15, 35, 157). As mental traits are determined by thousands of genes (indeed, half of human genes code for the nervous system) many of these mutations will affect brain functioning, and so the mutational target size is immense. On the other hand, each gene accounts for only a very small variance (167). Both facts combined cause natural selection to be incapable of purging mutations, with the result that they may persist for generations (15). Even traits under strong purifying selection can maintain abundant genetic variation if the target is large enough. The total burden of the remaining deleterious mutations is called mutational load, and it varies from one individual to another and determines the probability of maladaptive traits.

Although there is some consensus that the mutation-selection balance has a role in low intelligence and attractiveness, poor health, and major mental conditions like schizophrenia or bipolar disorder, it does not fit personality variation equally well. One source of evidence is fitness itself: Major psychiatric disorders harm all fitness components at once (15, 16), but no net effect on mating or reproductive success has been found for PDs as a whole (12). Also paternal age, which predicts the number of new genetic mutations and is used as a proxy for mutational load (168), supposes a risk for schizophrenia, autism, bipolar disorder, and intellectual disability, but not for PDs (157). As for fluctuating asymmetry, it is the random deviation from perfect bilateral facial or body symmetry, and is assumed to reflect the inability of an organism to buffer developmental perturbations caused by mutational load or environmental insults (169). Fluctuating asymmetry correlates with intelligence and with infectious and mental disorders (155, 170), but not usually with personality traits (169, 171). When it does correlate, it is extraverted, aggressive, and risk-taking individuals who show the highest symmetry (172). Finally, inbreeding—the production of offspring by consanguineous parents—exposes recessive mutations to higher rates of homozygosity (173, 174), so that deleterious traits linked to condition are more likely to be expressed with damage to fitness (inbreeding depression) (175, 176). Inbreeding increases the risk for uni/bipolar depression, and has shown small yet significant associations with certain personality traits: Increased harm avoidance and schizotypy, and reduced affiliation and novelty seeking (177, 178). However, well-powered samples have not confirmed its association with neuroticism (179).

6. Variation maintained because of natural selection: Balancing selection

In the last 30 years the notion that variation may be maintained by selection has gained ground. However, the most frequent types of selection in nature are directional selection (180), which pushes the trait mean toward one of the extremes, and to a lesser extent stabilizing selection, which favors intermediate values and selects against the extremes, as is the case with many morphological traits. Neither of them is able to maintain variance in a trait; in fact, both tend to erode it (18, 34). Though a third type, disruptive selection, does favor extreme values over average values and may maintain variation, it is surprisingly infrequent in nature (181).

However, directional selection on a trait is not always homogeneous (182). Instead, it may be inconsistent over time, across different environmental conditions, or for different components of fitness. These conflicting pressures may shape complex evolutionary dynamics (called balancing selection) that result in divergent responses to environmental challenges, and hence in interindividual variation (183, 184). In fact, balancing selection is common in nature (156), and is the most frequent explanation for the maintenance of behavioral variation (16, 48, 184, 185). The key concept here is that there is no single solution to the problem of perpetuating our genes.

6.1. Fluctuating selection over time and space

Traits may turn out to be advantageous at a given time or place, and not at others. Consequently, the strength, direction, or form of selection changes or reverses periodically due to environmental heterogeneity, and no level of the trait outperforms others outright (36, 48, 156, 186). These shifts have been reported to be frequent (182), and may respond to fluctuations in temperature, resource availability, predatory or parasitic pressure, or sex ratio, among many other factors (187). In a classic example, the boldest and most aggressive female great tits (Parus major) survive more than fearful ones in harsh years, in which exploring new territories is necessary, but the reverse is true in years of plenty, when high population density increases aggressive encounters between bolder individuals (188). Thus, annual fluctuations in the abundance of resources cause opposing selective pressures that cancel each other out, resulting in no net selection on the trait and the maintenance of a shy-bold axis in the population (189). Also, in the guppy fish (Poecilia reticulata), vigilance and escape are lost in low-predation environments, suggesting that maintaining an alarm system imposes heavy costs. However, after experimental reintroduction into a high-predation environment, the down-regulation of these defenses undermines survival, so that escape ability evolves again in about thirty generations (190). Overall, high neuroticism yields larger payoffs in dangerous environments but seems to be disadvantageous otherwise. Depletion of boldness, activity, and exploration under high predatory pressure has been extensively documented across species (191193).

The same kinds of tradeoff may operate in humans, though data are limited here. For example, personality traits such as industriousness, extraversion, prosociality, and neuroticism produce reproductive benefits in Tsimane women living near towns in Amazonian Bolivia, but costs in those living in the forest (194). Also, although there is no relation of conscientiousness and openness with fertility in cohorts born in 1920, an increasingly negative association has developed throughout the twentieth century (195). Finally, though self-control is advantageous in resource-rich environments, it may not be in dangerous or highly variable environments, despite the long-term costs of impulsivity (196). In addition, environmental variation over time has been found across species to lead to a diversifying “bet-hedging” strategy, which spreads the risks producing a random distribution across trait levels. No matter how the environment changes, a part of the offspring will be well fitted (29, 197).

6.2. Frequency-dependent selection

A particular instance of fluctuating selection is negative frequency-dependent selection, in which a trait produces higher fitness payoffs the less frequent it is in the population (198200). Environmental heterogeneity is, in this case, the momentary prevalence of the trait itself. Negative frequency-dependent selection is common in natural populations, and is thought to be a major contributor to the maintenance of phenotypic variation (201). In coho salmon (Oncorhynchus kisutch), as in many fish and insects, large and dominant males fight each other to gain access to fertilizing females’ eggs, whilst small males hide behind rocks and take advantage through sneak fertilization. The populational proportion of “sneakers” self-regulates: When they are few in number, they benefit from cost-free reproduction and increase their numbers, but at higher prevalences they get in each other’s way and lose their advantage, with the result that their numbers fall (202). In essence, statistically rare strategies can take a fitness advantage of exploiting a part of the resource spectrum for which competition is weaker, in a process known as ecological release. This mechanism has been proposed as an explanation of the presence of psychopathic individuals at a constant prevalence under 3–4% in many social species, including humans (93), but it may also explain the maintenance of personality variation more generally (203). In essence, a free-rider would be fitted just because all others are cooperators, and a bold individual because all the rest are shy. As a result, different adaptive tactics coexist at evolutionary equilibrium within a population (189, 204). Many interactions, however, may imply three or more tactics in equilibrium, as in the so-called rock-paper-scissor dynamics, whose mathematical basis derives from game theory (198, 201).

6.3. Mismatch

Sudden changes in environmental conditions can decrease the fitness returns of a previously well-suited trait, resulting in an ecological trap (205). Typically, changes are due to human activity, such as habitat transformation, technological advances, culture, or urban lifestyles, and are so rapid that they exceed a species’ capacity for genetic adaptation. When trapped, organisms take decisions that reduce their survival or reproduction based on cues that formerly increased fitness but are now mismatched with the current environmental conditions (206). This is the case of seabirds that choose to eat floating plastic over fish, or insects that lay their eggs on the asphalt instead of the pond surface. The transition to modernity is also changing the direction and intensity of natural selection acting on human traits. For example, the same yearning for fat and carbohydrates that pushed us to seek game and fruit in the recent past now points us in the direction of fast food and pastries, sparking an obesity epidemic (207). Hyperactivity and wandering attention might be advantageous in hostile natural environments, but became a disorder after the implantation of compulsory schooling in the twentieth century (208). Contraceptives and legislative changes seem to have hampered the uncommitted reproductive strategy of psychopaths by delinking mating success from reproduction (14, 105). Our affiliation systems appear to be poorly prepared for managing social isolation, dissolution of family bonds, and increased social competition (209). For their part, shy people deal with hundred of strangers in large urban areas instead of a small group of relatives (210). Thus, our action systems are perfectly adapted to the past, but are triggered by cues that are now outdated.

6.4. Trade-offs between different components of fitness

It follows from Figure 1 that the different components of fitness (survival, mating, reproduction, and parenting) do not necessarily work in unison. Although some traits, say intelligence or physical condition, might favor all of them at once, others turn out to be successful because of their impact on a sole component, even if it harms all others (211, 212). Diverging strategies could yield similar fitness payoffs in the end, thus maintaining diversity within a population (156, 213). If a trait is involved in a trade-off, natural selection cannot deplete its genetic variance.

An iconic example is the peacock’s train, which perplexed evolutionary biologists for decades. If natural selection cleans out maladaptive traits, we may wonder why peacocks haul a tail measuring five feet long that increases visibility and hinders flight, thus augmenting the risk of predation. The existence in nature of colossal horns, garish colors, and deafening songs seems at first glance to represent both a waste of energy and a deadly challenge. As Darwin suggested, these traits are simply aimed at attracting mates, and so are subject to sexual selection. The exhibition of epic ornaments or risky behaviors unequivocally signals to potential partners or competitors the genetic quality and good condition of the individual (214, 215). This is the handicap principle: Signals are reliable precisely because of their prohibitive cost, as a less gifted individual cannot develop or maintain such ornaments, just as most people cannot afford a 65-m yacht (216, 217). Strong sexual selection may sometimes compromise survival (214, 218). However, mating success impacts on reproductive output more directly than any other component of fitness and can spread traits even at the cost of increased mortality (180).

Sexual selection may have a stronger role in personality maintenance than previously thought (219). For example, having a bold personality incurs a survival cost in a range of species but, in exchange, it increases mating success, so that a shy-bold axis of variation is maintained in the population (28). This mechanism has been described in humans (220). Whereas extraversion is associated with indicators of premature death such as hospitalizations due to accident or illness, it also leads to higher sex frequency, more mates, and a greater inclination toward short-term mating and extra-pair affairs (221, 222), as well as to more children (162, 164, 221, 223225). By contrast, conscientiousness enhances survival (74, 226), but may make missed opportunities more likely, e.g., regarding mating (48).

Another strategy in equilibrium possibly is the “crazy bastard” syndrome, applied to young men who impress friends and potential mates, and intimidate rivals, through voluntary physical risk-taking (227, 228). This is designed to signal their good physical condition, bravery, and dominant position among peers, and may include driving at full speed, taking drugs, locking horns for trivial reasons, or breaking the rules in a thousand imaginative ways. The syndrome is universal among human males, emerges at the beginning of reproductive age, and smooths (hopefully) in adulthood. Although the costs are huge in the form of peak juvenile deaths (227), this syndrome is ultimately associated with more mates and a higher group status, so it is considered a sexually selected complex (97, 229). As already mentioned (section “4.2. Psychopathy and the attachment system”), similar tradeoffs can apply to psychopathy and cluster B disorders, in which subjects excel in the mating arena at the price of a disproportionate exposure to physical risks (14, 82) and reduced survival (226). In contrast, cluster C subjects are better-safe-than-sorry strategists who are willing to give up on opportunities in return for avoiding perilous situations (12).

6.5. Life history tradeoffs

Life history theory provides a broader picture of the tradeoffs between the components of fitness. It considers that these tradeoffs are not independent of each other but correlate, and approaches them as a whole (185, 230, 231). The underpinning assumption is that the energy available for each organism is limited, so that all fitness components—growth, quantity and quality of mates, quantity and quality of offspring, parenting, body maintenance, longevity—cannot be optimized at once. Rather, each investment detracts from others, so that “choices” are obliged. For example, either promiscuous mating or having large numbers of progeny impact negatively on offspring quality in humans and other large mammals (232). Thus, life histories essentially are about how energy is allocated across the life course between growth, survival, and reproduction, giving rise to a range of strategies that are aimed at optimizing fitness through different pathways and that coexist within the same population.

The best-studied life history strategies are those that shape the fast-slow axis (233, 234). The fast strategy characterizes rats: They are short-lived, grow quickly, have many offspring but invest little in them, and have high pup mortality. All these features lead to rapid population growth. Elephants, on the other hand, are slow strategists: They are long-lived, reach maturity late, have only one calf but invest heavily in it, have low calf mortality, and expand slowly (235). Most species fall somewhere between the fast and slow poles (236). Two recent developments make life history theory relevant to PDs. First, life histories not only differ between species, but also between individuals within a species, our own included (237, 238). Second, personality may play a key role in life history choices, both in humans (50, 239241) and in other animals (211, 237, 242). For example, humans live long lives or die young, accumulate or spend resources, have many or no mates at all, have many or no offspring, invest heavily in their offspring or vanish after fecundation… Most crucial life history “decisions” are behavioral in nature, and require different underlying motivational, emotional and cognitive machineries, that is, they require different personalities. It follows that personality traits are packaged into broad suites of coordinated morphological, physiological, and behavioral characters (27), and that it is not traits but the entire frame that responds to selection (184, 213, 240, 241).

In humans, conditions such as attention-deficit/hyperactivity disorder, bulimia, impulse-control disorders, and borderline and antisocial PDs have been related to fast life histories (23, 240, 243246). Strategies at the fast pole of the continuum are believed to maximize fitness under adverse environmental conditions by prioritizing current over future reproduction, mating over parenting, and quantity over quality. Indeed, individuals showing externalizing traits are not well equipped for retaining long-term partners, raising children, or preparing for the future, but they are for short-term mating or opportunistic gains (12, 104, 247). Per contra, anxious temperaments, conscientiousness, agreeableness, autism spectrum disorders, depression, anorexia, and obsessive-compulsive traits have been related to the slow pole (240, 244, 245, 248). That said, simplistic pictures should be avoided. In the field of human personality, externalizing, sociopathic, or sexually unrestricted personality features have too often been regarded as equivalents of fast strategies (203). This does not stem from life history theory, which is based solely on biodemographic indicators (249, 250). In fact, fast features such as early life reproduction and increased reproductive output are also associated with persistence, industriousness, and religiousness (247, 251), so the evidence should be interpreted with caution. Furthermore, it has also been suggested that fitness tradeoffs might be less stable and more complex than previously thought (231, 252).

7. Variation due to selection for plasticity: Reaction norms

The fact that a mechanism has evolved does not mean that it is genetically determined (253, 254). Plasticity is ubiquitous in nature, and action systems—and hence personality—are environmentally calibrated over the course of the entire lifespan (164). Thus, it is not only the trait’s value that can be genetically preprogrammed, but also the trait’s capacity to respond plastically to distinct external conditions that modify that value. Interaction with specific features of the environment is in fact critical for the normal development and activation of most evolved adaptations. Each trait actually represents a reaction norm: the range of possible phenotypes that a single genotype can produce along an environmental gradient (255257). Whereas some traits are canalized—the phenotype is kept constant for a given genotype irrespective of the environment—others show broad reaction norms (164, 257). Plasticity extends the range of conditions under which organisms can survive and reproduce, and is thus a buffer against low fitness and extinction (258). However, it is probably not without costs and constraints, so that a balance between plasticity and canalization exists (27, 259). Besides contributing to trait variation, plasticity is itself a heritable trait (260, 261) which differs between individuals (262264).

Plasticity can take several forms, which partially overlap: Early developmental calibration, contextual plasticity, and condition-dependent phenotype (263). All of them have in common the fact that distinct inputs alter the expression of a universal mechanism, producing individual differences. They differ in the life period in which they operate, in the particular environmental stimuli that trigger phenotypic change, and in their reversibility (149, 263).

7.1. Early developmental calibration

Also referred to as developmental plasticity, early developmental calibration denotes the ability of organisms to adjust their phenotype to environmental conditions experienced during ontogeny (265). Developmental events channel individuals into one of several alternative adaptive paths specified by evolved decision rules (253, 266, 267). Changes are made early in life, involve molecular epigenetic processes (268), and are often irreversible (254, 257, 269). The Predictive Adaptive Response model proposes that the early environment provides cues regarding future life conditions, and developmental pathways are modified accordingly (270272). In mammals, the best route for such a forecast may be via the mother (273). For example, vole pups (Microtus pennsylvanicus) born in the autumn have thicker coats than those born in the spring, and this depends on maternal hormonal signals during gestation that are contingent upon day length (274). Plasticity also has costs, as it will lead to fitness benefits if the predictive adaptive response correctly anticipates forthcoming conditions, but to mismatch if anticipation fails (259).

Differences in personality and in life-history strategies may be partly due to differences in developmental histories (262, 265, 272, 275). For example, guppies (Poecilia reticulata) living in high-predation areas display faster life histories, including quicker growth, earlier age at sexual maturation, and larger litter size (276). Also in humans, the quality of parental care-giving may be a hint of how harsh the future environment will be. External conditions such as family disruption, the absence of the father, the presence of a stepfather, high local mortality, deprivation, unpredictability, and other indicators of environmental threat can calibrate the life-history strategy, accelerating the growing rate and determining adult reproductive tactics (277, 278). Some of these factors are able to advance age at menarche (239, 279), which in turn is a predictor of earlier sexual debut, sexual risk-taking, earlier pregnancy, and larger numbers of children (280283). Faster strategies have mostly been associated with personality features such as discounting the future, impulsivity, novelty seeking, risk-taking, and social deviance, as well as mistrust, opportunism, egotism, and callousness (38, 239, 277, 278, 284, 285). By contrast, the same fitness-maximizing algorithm calibrates our strategies toward the slow pole when trusting others and preparing for the future can produce a reproductive gain. From this perspective, it has also been suggested that individual differences in neuroticism may result from conditional adaptations, that is, the calibration of the alarm system during development in response to favorable or adverse experiences (85, 240, 286). Hyperreactive defenses are considered to be due not to dysfunctional processes, but to adaptive mechanisms that try to make the best of a bad job (287). In fact, harsh environments and high extrinsic mortality may not be a radical departure from normal rearing conditions (and thus something able to disrupt neurobiological systems) but the usual scenario that human children have historically faced (38, 288). In any case, caution is required in interpreting the evidence at this stage. On the one hand, it is difficult to separate the effects of adverse environments from those of heritable vulnerabilities running in families (289); on the other, these processes are bidirectional, with children being molded by, and at the time actively shaping, their own developmental niche (290).

7.2. Contextual plasticity

The ability to facultatively match to the environment does not end in adulthood. When subjects occupy an environmental niche for a while, they tend to behave in stable ways that give the impression of a trait (291). This is also referred to as stable situational evocation, and is assumed to be reversible and dynamic (156, 257, 263). For example, cooperation and agreeableness are lower in people living in slums and mountain areas (292, 293), aggressiveness decreases with latitude (294), and having a job or a romantic relationship increases emotional stability and conscientiousness (295). Thus, action systems are programed to attune with the requirements of present socioecological niches throughout adult life too (29, 291, 296, 297), and are responsive to major life transitions and events (298). It has even been postulated that the diversity of personality profiles actually reflects the diversity of existing niches, both in humans and in other animals (299).

That said, socioecological niches are not chosen at random. Owing to genetically driven preferences, organisms try to expose themselves to the selection pressures that suit their traits best, a strategy known as niche construction or gene-environment correlation (300, 301). Specifically, individuals select (or avoid) certain environments and individuals over others, spontaneously evoke certain responses in others, and purposefully manipulate their physical and social environments (302, 303). In animals, this includes building nests, choosing richer habitats, or altering physical and chemical conditions. In humans, many apparently uncontrollable experiences and environmental conditions have been proved to be under genetic influence (304). In fact, contextual plasticity is particularly potent in our species, as it involves the social transmission of cultural knowledge, giving rise to phenomena such as ecological inheritance and gene-culture coevolution (305). Thus, genes and environment exert a reciprocal influence through non-linear dynamics whose study requires integrative models (2, 306308).

Importantly for PDs, niche selection may produce feedback loops that result in exaggerated or apparently maladaptive traits (306). For example, in domestic fowls, crayfish, or humans, dominant traits and status are known to feed each other in an upward spiral that magnifies initial dispositions (139, 144, 309, 310). Highly neurotic people experience more negative life events, which in turn reinforce their neuroticism (311). The proposed mechanism in this case is adaptive sensitization: Repeated experiences of distress are taken as a sign that mild alarm responses have been insufficient to protect the organism against threat, and so the trigger threshold is lowered (69). Similarly, individuals at risk for borderline PD are more likely to undergo the life events—break-up, violence, sexual assault—that can set off borderline symptoms (312314).

Finally, there are also broad differences in the extent to which individuals are influenced by environments and respond plastically to them (i.e., gene–environment interactions) (256, 315317). There are even individual differences for different types of plasticity (264). Furthermore, often life experiences do not occur in isolation. Events or environmental conditions can by themselves trigger domino effects that propagate and amplify misfortune through feedback loops, embedding it even over generations (128, 318).

7.3. Condition-dependent phenotype

A trait may produce costs or benefits depending on other individual features such as strength, intelligence, skills, age, or attractiveness. In this case, the trait may be not selected directly, but is facultatively calibrated to these organismal features taking them as input, in a process known as reactive heritability (159, 161, 319, 320). The leading trait is most often quality or condition, the ability to efficiently convert energy into fitness-enhancing traits and outcomes. For example, high-condition individuals are usually bolder across species (318), and high-condition females are choosier regarding potential mates (321). In zebra finches (Taeniopygia guttata castanotis), unattractive males place the greatest effort in parenting, whereas attractive males accrue fitness gains through decreased parenting and increased extrapair fertilization (322). Similarly, strength and attractiveness are correlated with extraversion and low neuroticism in humans (319, 323) as well as with men’s (but not women’s) orientation toward uncommitted mating and promiscuity (324). The proposed mechanism is that extraversion and promiscuity render more benefit in attractive than in unattractive individuals, causing positive feedback mechanisms (318). Finally, height, strength, and formidability are related to dominance and aggressiveness in males (325328), and partly explain sex differences in fearfulness (329). Other evidence suggests, however, that it is aggressiveness that precedes physical strength (330), meaning that physical aggression and formidability may actually have coevolved as part of a sexually selected complex (231). Narcissism, psychopathy, and dark traits overall also have shown small but positive correlations with height, bulk, and attractiveness (99, 331333), which would suggest that they are facultatively calibrated to condition. Traits will show apparent heritability that must actually be attributed to condition.

8. Other selective mechanisms maintaining variation

We will now look briefly at certain other mechanisms that have been proposed. Kin selection (89, 334) rests on the fact that organisms are not really able to replicate themselves, but only to produce fairly similar copies. It is genes that replicate, and they can do so for millions of years using living organisms as vehicles (335). Consequently, genetic transmission may also be maximized through inclusive fitness, the successful reproduction of relatives with whom we share genes. For example, it has been found that the same genes that lead to schizophrenia produce schizotypal traits in relatives which increase divergent thinking, creativity, and mating success (336339). This could maintain risk alleles in the population.

Assortative mating is the non-random coupling of individuals based on resemblance. It is common in non-human animals (340), but humans also mate assortatively according to age, height, race, education level, and personality traits (341, 342). Regarding personality, the strongest concordance has been found for sensation seeking, psychopathy, Machiavellianism, and narcissism (343346). This would produce homozygosity for these traits and, consequently, more extreme presentations in the progeny.

Multilevel selection reflects the assumption that selection pressures act at different levels of organization—gene, cell, organism, kin, group—depending on the context (347). This mechanism has been invoked to explain the unparalleled levels of altruism in humans (348), but also conditions such as attention-deficit disorder or insecure attachment. Both would bring advantages for the group, such as increased exploration and risk assumption in the former, and greater awareness of threats in the latter (208, 349), even if they are individually impairing.

Social selection is based on the fitness gains due to differential success in social competition (253, 350, 351). Due partly to their personality features, individuals can be preferred as friends, allies, partners, employees, or providers, and thus obtain more resources and help (352, 353). In this context, sexual selection may be a particularly relevant type of social selection. It has been hypothesized that humans have acquired their prosocial traits through social domestication (354), in much the same way as wolves became dogs. That is, humans have lost aggressiveness and gained affability through the choices of other humans (350). This theory is not at odds with the existence of selfish and antagonistic individuals, since a cooperative milieu is precisely the environment where free-riders can evolve (93).

Fitness indicators theory extends the role of sexual selection in proposing that many human features—intelligence, moral values, creativity, humor—are not indispensable for survival. Instead, they evolved for courtship, just like the peacock’s tail (355, 356). They are complex traits that depend on large parts of the genome (the “genic capture” hypothesis) and are thus reliable fitness indicators for potential mates (152, 173, 175). This is the flip side of the mutation-selection balance, since fitness indicators actually signal the absence of mutational load. For example, personality traits such as agreeableness, conscientiousness, or low neuroticism have been said to confer benefits on the carrier and to be universally preferred in prospective mates, so they could be considered to be fitness indicators (357, 358). However, humans are strategic pluralists in the mating arena (217, 359), and these preferences have been found to be reversed in a wide range of circumstances, e.g., when women have psychopathic traits themselves, are looking for short-term relationships, are living in a harsh environment, or are in their fertile period (344, 346, 360, 361). This would rather support a balancing selection scenario.

The array of mechanisms considered here (Figure 3), together with some others such as correlated selection (362), Red Queen processes (363), Fisherian runaway (364), or manipulation by pathogens (365), are not mutually exclusive. Each one may be relevant for distinct traits, or its relevance may vary across sex, time, place, or condition. Furthermore, several of them may act simultaneously or sequentially on the same trait (16, 29, 48, 154, 155, 163). We do not know, however, which evolutionary processes are at work in each case. There is some agreement that traits unidirectionally linked to fitness—such as intellectual disability, unattractiveness, or serious mental disorders—reflect condition, that is, how much energy and resources individuals have available to invest in fitness-related tasks. These traits would fit a mutation-selection balance model better (355) (Figure 4, vertical axis). In contrast, most personality traits rather seem to be related to how the available energy and resources are strategically allocated to different tasks; hence, they fit better with a balancing selection model in which fitness is attained through different routes (16, 149) (Figure 4, horizontal axes).

FIGURE 4
www.frontiersin.org

Figure 4. Cone model reflecting condition on the vertical axis and alternative strategies on the horizontal axes.

9. Discussion: What is a personality disorder?

We have come to believe that being balanced, outgoing, warmhearted, and industrious is “normal,” while being abusive, cowardly, oversensitive, unsociable, or unhappy are dysfunctions. This is occasionally true and, in fact, some evolutionary approaches see “normal variation” as small maladaptive departures from optimal design (165). However, PDs have suffered a process of pathologization (366), while in fact the evidence thus far rather suggests that many intense personality traits might be fully functional (even if socially reproved) alternative strategies (16, 31). On this basis, evolutionary theory may contribute to redrawing the boundaries between disordered and normal personalities, which remains a contentious issue (1, 7, 8).

Two points need to be stressed. On the one hand, what is normal in nature is variety (28, 29, 152, 153). As optimal fitness is a moving target, no personality configuration can be beneficial for all purposes, under any circumstances, all the time (16, 48, 154, 184, 185). Instead, selection has pushed organisms toward diversity, so that there is no single “normality” but many (153, 237, 242). On the other hand, much of this variety is not dysfunctional. Some PDs are detrimental for the subject (3, 4), others are not (11, 13), and still others hurt the people all around but benefit the carrier, which is puzzling for a disease (367). As advanced by earlier cognitive theoreticians (368), many PDs seem to be implementing evolved strategies aimed at maximizing biological goals: acquiring mates, outreproducing others, attaining status, garnering resources, or protecting life. They do this with appreciable success, though sometimes at a high cost as well. Accordingly, selective pressures on “pathological” traits are not homogeneously purifying, as would be expected for a disease (15). Instead, some traits are selected for, others against, and still others show tradeoffs (12, 14, 102, 104, 247). Thus, in the eyes of evolution, many PDs are merely unpleasant or socially undesirable conditions (8, 9, 25).

This of course does not imply that PDs are not in need of professional attention. Against the widespread belief that “natural is good” (the naturalistic fallacy), selective pressures do not favor goodness or happiness, but genetic posterity (24, 31). As a result, certain traits are favored by selective forces even if they harm society or the individual, provided that they benefit genes. This results in millions of people living with paralyzing fears, taking absurd risks, or exhausting those whom they love. Against this background, clinicians should be clear that patients do not want to increase fitness, but to relieve pain (369, 370).

10. Conclusion

Evolutionary theory is transforming psychology and psychiatry (25); there is a growing awareness that it is essential for the complete understanding of mental conditions (31, 371) and of health and disease more generally (20, 22, 158, 372). The Ukrainian geneticist Theodosius Dobzhansky famously claimed that nothing in biology makes sense except in the light of evolution. PDs certainly do not. Although our knowledge of the selective forces acting on personality is rudimentary (23), we can say for sure that natural selection is the only known mechanism able to produce complex adaptations (18, 373). It follows that personality, like all other body systems, has an evolutionary origin and remains subject to selective forces today, both in humans and in other animals (14, 21, 28, 29, 163, 237). Not only does evolutionary thinking provide the best-substantiated explanatory framework across the life sciences, but it is the conceptual matrix in which different disciplines (genetics, neuroscience, ethology, developmental psychology, and psychopathology) can be integrated (25, 371). Only from this perspective can we truly explain why harmful personalities exist at all, and why they remain over time.

Author contributions

FG conceived the manuscript and wrote the first draft. FG and FV contributed to the literature review and to the final version of the manuscript. Both authors contributed to the article and approved the submitted version.

Funding

Publication fees and English language editing were financed by the Hospital Clínic de Barcelona.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Kendell R. The distinction between personality disorder and mental illness. Br J Psychiatry. (2002) 180:110–5. doi: 10.1192/bjp.180.2.110

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Paris J. Nature and Nurture in Personality and Psychopathology: A Guide for Clinicians. New York, NY: Routledge (2022). p. 158. doi: 10.4324/9781003156215

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Tyrer P, Reed G, Crawford M. Classification, assessment, prevalence, and effect of personality disorder. Lancet. (2015) 385:717–26. doi: 10.1016/S0140-6736(14)61995-4

CrossRef Full Text | Google Scholar

4. Skodol A. Impact of personality pathology on psychosocial functioning. Curr Opin Psychol. (2018) 21:33–8. doi: 10.1016/j.copsyc.2017.09.006

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Cramer V, Torgersen S, Kringlen E. Personality disorders and quality of life. A population study. Compr Psychiatry. (2006) 47:178–84. doi: 10.1016/j.comppsych.2005.06.002

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Schneider K. Psychopathic Personalities. London: Cassell (1958).

Google Scholar

7. Wakefield J. Evolutionary history versus current causal role in the definition of disorder: reply to McNally. Behav Res Ther. (2001) 39:347–66. doi: 10.1016/s0005-7967(00)00070-x

CrossRef Full Text | Google Scholar

8. Leising D, Rogers K, Ostner J. The undisordered personality: normative assumptions underlying personality disorder diagnoses. Rev Gen Psychol. (2009) 13:230–41. doi: 10.1037/a0017139

CrossRef Full Text | Google Scholar

9. Leising D, Zimmermann J. An integrative conceptual framework for assessing personality and personality pathology. Rev Gen Psychol. (2011) 15:317–30. doi: 10.1037/a0025070

CrossRef Full Text | Google Scholar

10. Lenzenweger M, Lane M, Loranger A, Kessler R. DSM-IV personality disorders in the national comorbidity survey replication. Biol Psychiatry. (2007) 62:553–64. doi: 10.1016/j.biopsych.2006.09.019

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Ullrich S, Farrington D, Coid J. Dimensions of DSM-IV personality disorders and life-success. J Pers Disorders. (2007) 21:657–63. doi: 10.1521/pedi.2007.21.6.657

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Gutiérrez F, Gárriz M, Peri J, Ferraz L, Sol D, Navarro J, et al. Fitness costs and benefits of personality disorder traits. Evol Hum Behav. (2013) 34:41–8. doi: 10.1016/j.evolhumbehav.2012.09.001

CrossRef Full Text | Google Scholar

13. Vall G, Gutiérrez F, Peri J, Gárriz M, Ferraz L, Baillés E, et al. Seven basic dimensions of personality pathology and their clinical consequences: are all personalities equally harmful? Br J Clin Psychol. (2015) 54:450–68. doi: 10.1111/bjc.12091

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Vall G, Gutiérrez F, Peri J, Gárriz M, Baillés E, Garrido J, et al. Seven dimensions of personality pathology are under sexual selection in modern Spain. Evol Hum Behav. (2016) 37:169–78. doi: 10.1016/j.evolhumbehav.2015.10.004

CrossRef Full Text | Google Scholar

15. Keller M, Miller G. Resolving the paradox of common, harmful, heritable mental disorders: which evolutionary genetic models work best? Behav Brain Sci. (2006) 29:385–452. doi: 10.1017/S0140525X06009095

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Penke L, Denissen J, Miller G. The evolutionary genetics of personality. Eur J Pers. (2007) 21:549–87. doi: 10.1002/per.629

CrossRef Full Text | Google Scholar

17. Jang K, Choi F. Issues and new directions in personality disorder genetics. In: Lejuez C, Gratz K editors. The Cambridge Handbook of Personality Disorders. Cambridge: Cambridge University Press (2020). p. 29–39. doi: 10.1017/9781108333931.007

CrossRef Full Text | Google Scholar

18. Futuyma J, Kirkpatrick M. Evolution. 4th ed. Sunderland, MA: Sinauer Associates (2017). p. 602.

Google Scholar

19. Volkert J, Gablonski T, Rabung S. Prevalence of personality disorders in the general adult population in Western countries: systematic review and meta-analysis. Br J Psychiatry. (2018) 213:709–15. doi: 10.1192/bjp.2018.202

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Nesse R, Williams G. Why We Get Sick: The New Science of Darwinian Medicine. New York, NY: Times Books (1994). 291 p.

Google Scholar

21. Stearns S, Medzhitov R. Evolutionary Medicine. Sunderland, MA: Sinauer Associates (2015). p. 328.

Google Scholar

22. Brüne M, Schiefenhövel W. The Oxford Handbook of Evolutionary Medicine. Oxford: Oxford University Press (2019). p. 976.

Google Scholar

23. Brüne M. Textbook of Evolutionary Psychiatry and Psychosomatic Medicine: The Origins of Psychopathology. 2nd ed. Oxford: Oxford University Press (2016). p. 448.

Google Scholar

24. Nesse R. Good Reasons for Bad Feelings: Insights From the Frontier of Evolutionary Psychiatry. New York, NY: Penguin Random House (2019). p. 363.

Google Scholar

25. Crespi B. Evolutionary and genetic insights for clinical psychology. Clin Psychol Rev. (2020) 78:101857. doi: 10.1016/j.cpr.2020

CrossRef Full Text | Google Scholar

26. Gosling S, John O. Personality dimensions in nonhuman animals. Curr Dir Psychol Sci. (1999) 8:69–75. doi: 10.1111/1467-8721.00017

CrossRef Full Text | Google Scholar

27. Sih A, Bell A, Johnson J, Ziemba R. Behavioral syndromes: an integrative overview. Q Rev Biol. (2004) 79:241–77. doi: 10.1086/422893

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Smith B, Blumstein D. Fitness consequences of personality: a meta-analysis. Behav Ecol. (2008) 19:448–55. doi: 10.1093/beheco/arm144

CrossRef Full Text | Google Scholar

29. Wolf M, Weissing F. An explanatory framework for adaptive personality differences. Philos Trans R Soc Lond B Biol Sci. (2010) 365:3959–68. doi: 10.1098/rstb.2010.0215

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Mitchell-Olds T, Willis J, Goldstein D. Which evolutionary processes influence natural genetic variation for phenotypic traits? Nat Rev Genet. (2007) 8:845–56. doi: 10.1038/nrg2207

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Troisi A. The concept of alternative strategies and its relevance to psychiatry and clinical psychology. Neurosci Biobehav Rev. (2005) 29:159–68. doi: 10.1016/j.neubiorev.2004.06.012

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Bailey N. Evolution of apparently non-adaptive behavior. In: Losos J editor. The Princeton Guide to Evolution. Princeton, NJ: Princeton University Press (2014). p. 710–7.

Google Scholar

33. Miller R, Polack C. Sources of maladaptive behavior in ‘normal’ organisms. Behav Process. (2018) 154:4–12. doi: 10.1016/j.beproc.2017.12.017

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Walsh B, Lynch M. Evolution and Selection of Quantitative Traits. Oxford: Oxford University Press (2018). p. 1496.

Google Scholar

35. Keightley P. Rates and fitness consequences of new mutations in humans. Genetics. (2012) 190:295–304. doi: 10.1534/genetics.111.134668

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Sæther B, Engen S. The concept of fitness in fluctuating environments. Trends Ecol Evol. (2015) 30:273–81. doi: 10.1016/j.tree.2015.03.007

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Stearns S, Byars S, Govindaraju D, Ewbank D. Measuring selection in contemporary human populations. Nat Rev Genet. (2010) 11:611–22. doi: 10.1038/nrg2831

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Gutiérrez F. Darwin sigue siempre aquí. Personalidad y adaptación [Darwin still remains here. Personality and fitness.]. In: Soler J, Pascual JC editors. Claves y Enigmas de la Personalidad. Por qué soy así? [Keys and enigmas of personality. Why I am this way?]. Sant Cugat del Vallès: Editorial Siglantana (2016). 47–70.

Google Scholar

39. Harkness A, Reynolds S, Lilienfeld S. A review of systems for psychology and psychiatry: adaptive systems, personality psychopathology five (PSY-5), and the DSM-5. J Pers Assess. (2014) 96:121–39. doi: 10.1080/00223891.2013.823438

PubMed Abstract | CrossRef Full Text | Google Scholar

40. DeYoung C. Cybernetic big five theory. J Res Pers. (2015) 56:33–58. doi: 10.1016/j.jrp.2014.07.004

CrossRef Full Text | Google Scholar

41. Mikulincer M, Shaver P. Attachment in Adulthood: Structure, Dynamics, and Change. 2nd ed. New York, NY: Guilford Press (2016). 690 p.

Google Scholar

42. Montag C, Panksepp J. Primary emotional systems and personality: an evolutionary perspective. Front Psychol. (2017) 8:464. doi: 10.3389/fpsyg.2017.00464

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Schaller M, Kenrick D, Neel R, Neuberg S. Evolution and human motivation: a fundamental motives framework. Soc Personal Psychol Compass. (2017) 11:1–15. doi: 10.1111/spc3.12319

CrossRef Full Text | Google Scholar

44. Del Giudice M. A general motivational architecture for human and animal personality. Neurosci Biobehav Rev. (2023) 144:104967. doi: 10.1016/j.neubiorev.2022.104967

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Depue R, Fu Y. Neurogenetic and experiential processes underlying major personality traits: implications for modelling personality disorders. Int Rev Psychiatry. (2010) 23:258–81. doi: 10.3109/09540261.2011.599315

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Davis K, Panksepp J. The Emotional Foundations of Personality: A Neurobiological and Evolutionary Approach. London: W. W. Norton Company (2018). p. 352.

Google Scholar

47. Kuper N, Modersitzki N, Phan L, Rauthmann J. The dynamics, processes, mechanisms, and functioning of personality: an overview of the field. Br J Psychol. (2021) 112:1–51. doi: 10.1111/bjop.12486

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Nettle D. The evolution of personality variation in humans and other animals. Am Psychol. (2006) 61:622–31. doi: 10.1037/0003-066X.61.6.622

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Van Egeren LF. A cybernetic model of global personality traits. Pers Soc Psychol Rev. (2009) 13:92–108. doi: 10.1177/1088868309334860

PubMed Abstract | CrossRef Full Text | Google Scholar

50. MacDonald K. Cutting nature at its joints: toward an evolutionarily informed theory of natural types of conduct disorder. J Soc Evol Cult Psychol. (2012) 6:260–91. doi: 10.1037/h0099251

CrossRef Full Text | Google Scholar

51. DeYoung C, Krueger RF. A cybernetic theory of psychopathology. Psychol Inq. (2018) 29:117–38. doi: 10.1080/1047840X.2018.1513680

CrossRef Full Text | Google Scholar

52. Lenzenweger M, Depue R. Personality disturbances as emergent phenomena reflective of underlying neurobehavioral systems: beyond dimensional measurement, phenotypic trait descriptors, and factor analysis. Psychopathology. (2020) 53:213–20. doi: 10.1159/000509624

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Bach B, Sellbom M, Skjernov M, Simonsen E. ICD-11 and DSM-5 personality trait domains capture categorical personality disorders: finding a common ground. Aust N Z J Psychiatry. (2018) 52:425–34. doi: 10.1177/0004867417727867

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Nesse R, Ellsworth P. Evolution, emotions, and emotional disorders. Am Psychol. (2009) 64:129–39. doi: 10.1037/a0013503

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Lench H. The Functions of Emotion: When and Why Emotions Help Us. New York, NY: Springer International Publishing (2018). 267 p. doi: 10.1007/978-3-319-77619-4

CrossRef Full Text | Google Scholar

56. Krueger R, Eaton N, Derringer J, Markon K, Watson D, Skodol A. Helping delineate personality disorder content and framing the metastructure. J Pers Assess. (2011) 93:325–31. doi: 10.1080/00223891.2011.577478

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Saulsman L, Page A. The five-factor model and personality disorder empirical literature: a meta-analytic review. Clin Psychol Rev. (2004) 23:1055–85. doi: 10.1016/j.cpr.2002.09.001

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Strickland C, Hopwood C, Bornovalova M, Rojas E, Krueger R, Patrick C. Categorical and dimensional DSM-5: toward a model-based synthesis. J Pers Disorders. (2019) 33:185–213. doi: 10.1521/pedi_2018_32_339

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Fraley R, Brumbaugh C, Marks M. The evolution and function of adult attachment: a comparative and phylogenetic analysis. J Pers Soc Psychol. (2005) 89:731–46. doi: 10.1037/0022-3514.89.5.751

PubMed Abstract | CrossRef Full Text | Google Scholar

60. MacLean E, Hare B, Nun C, Addess E, Amic F, Anderson R, et al. The evolution of self-control. Proc Natl Acad Sci U.S.A. (2014) 111:E2140–8. doi: 10.1073/pnas.1323533111

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Rueter A, Abram S, MacDonald A, Rustichini A, DeYoung C. The goal priority network as a neural substrate of conscientiousness. Hum Brain Mapp. (2018) 39:3574–85. doi: 10.1002/hbm.24195

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Gecaite-Stonciene J, Lochner C, Marincowitz C, Fineberg N, Stein D. Obsessive-compulsive (anankastic) personality disorder in the ICD-11: a scoping review. Front Psychiatry. (2021) 12:646030. doi: 10.3389/fpsyt.2021.646030

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Tibbetts E, Pardo-Sanchez J, Weise C. The establishment and maintenance of dominance hierarchies. Philos Trans R Soc Lond B Biol Sci. (2022) 377:20200450. doi: 10.1098/rstb.2020.0450

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Johnson S, Leedom L, Muhtadie L. The dominance behavioral system and psychopathology: evidence from self-report, observational, and biological studies. Psychol Bull. (2012) 138:692–743. doi: 10.1037/a0027503

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Zeigler-Hill V, Vrabel J, McCabe G, Cosby C, Traeder C, Hobbs K, et al. Narcissism and the pursuit of status. J Pers. (2019) 87:310–27. doi: 10.1111/jopy.12392

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Wilson S, Stroud C, Durbin C. Interpersonal dysfunction in personality disorders: a meta-analytic review. Psychol Bull. (2017) 143:677–734. doi: 10.1037/bul0000101

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Kralj-Fišer S, Schuett W. Studying personality variation in invertebrates: why bother? Anim Behav. (2014) 91:41–52. doi: 10.1016/j.anbehav.2014.02.016

CrossRef Full Text | Google Scholar

68. Nesse R. The smoke detector principle. Natural selection and the regulation of defensive responses. Ann N Y Acad Sci. (2001) 935:75–85. doi: 10.1111/j.1749-6632.2001.tb03472.x

CrossRef Full Text | Google Scholar

69. Nesse R. Why mental disorders persist: evolutionary foundations for psychiatry. In: Abed R, St John-Smith P editors. Evolutionary Psychiatry: Current Perspectives on Evolution and Mental Health. Cambridge: Cambridge University Press (2022). p. 84–100. doi: 10.1017/9781009030564

CrossRef Full Text | Google Scholar

70. Sansone R, Lam C, Wiederman M. The relationship between borderline personality disorder and number of sexual partners. J Pers Disord. (2011) 25:782–8.

Google Scholar

71. Blanchard A, Dunn T, Sumich A. Borderline personality traits in attractive women and wealthy low attractive men are relatively favoured by the opposite sex. Pers Individ Diff. (2021) 169:109964. doi: 10.1016/j.paid.2020.109964

CrossRef Full Text | Google Scholar

72. Lahey B. Public health significance of neuroticism. Am Psychol. (2009) 64:241–56. doi: 10.1037/a0015309.Public

CrossRef Full Text | Google Scholar

73. Ozer D, Benet-Martínez V. Personality and the prediction of consequential outcomes. Annu Rev Psychol. (2006) 57:401–21. doi: 10.1146/annurev.psych.57.102904.190127

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Roberts B, Kuncel N, Shiner R, Caspi A, Goldberg L. The power of personality: the comparative validity of personality traits, socioeconomic status, and cognitive ability for predicting important life outcomes. Perspect Psychol Sci. (2007) 2:313–45. doi: 10.1111/j.1745-6916.2007.00047.x

PubMed Abstract | CrossRef Full Text | Google Scholar

75. Guidi J, Lucente M, Sonino N, Fava G. Allostatic load and its impact on health: a systematic review. Psychother Psychosom. (2021) 90:11–27. doi: 10.1159/000510696

PubMed Abstract | CrossRef Full Text | Google Scholar

76. Lafreniere P. A functionalist perspective on social anxiety and avoidant personality disorder. Dev Psychopathol. (2009) 21:1065–82. doi: 10.1017/S0954579409990046

PubMed Abstract | CrossRef Full Text | Google Scholar

77. Ein-Dor T, Mikulincer M, Doron G, Shaver P. The attachment paradox. Perspect Psychol Sci. (2010) 5:123–41. doi: 10.1177/1745691610362349

PubMed Abstract | CrossRef Full Text | Google Scholar

78. Bateson M, Brilot B, Nettle D. Anxiety: an evolutionary approach. Can J Psychiatry. (2011) 56:707–15. doi: 10.1177/070674371105601202

PubMed Abstract | CrossRef Full Text | Google Scholar

79. Haselton M, Nettle D. The paranoid optimist: an integrative evolutionary model of cognitive biases. Pers Soc Psychol Rev. (2006) 10:47–66. doi: 10.1207/s15327957pspr1001_3

CrossRef Full Text | Google Scholar

80. Mykletun A, Bjerkeset O, Øverland S, Prince M, Dewey M, Stewart R. Levels of anxiety and depression as predictors of mortality: the HUNT study. Br J Psychiatry. (2009) 195:118–25. doi: 10.1192/bjp.bp.108.054866

PubMed Abstract | CrossRef Full Text | Google Scholar

81. Weston S, Jackson J. The role of vigilance in the relationship between neuroticism and health: a registered report. J Res Pers. (2018) 73:27–34. doi: 10.1016/j.jrp.2017.10.005

PubMed Abstract | CrossRef Full Text | Google Scholar

82. Jokela M, Power C, Kivimäki M. Childhood problem behaviors and injury risk over the life course. J Child Psychol Psychiatry. (2009) 50:1541–9. doi: 10.1111/j.1469-7610.2009.02122.x

PubMed Abstract | CrossRef Full Text | Google Scholar

83. Lee W, Wadsworth M, Hotopf M. The protective role of trait anxiety: a longitudinal cohort study. Psychol Med. (2006) 36:345–51. doi: 10.1017/S0033291705006847

PubMed Abstract | CrossRef Full Text | Google Scholar

84. Gilbert P. Evolutionary approaches to psychopathology: the role of natural defences. Aust N Z J Psychiatry. (2001) 35:17–27. doi: 10.1046/j.1440-1614.2001.00856.x

PubMed Abstract | CrossRef Full Text | Google Scholar

85. Ellis B, Del Giudice M. Beyond allostatic load: rethinking the role of stress in regulating human development. Dev Psychopathol. (2014) 26:1–20. doi: 10.1017/S0954579413000849

PubMed Abstract | CrossRef Full Text | Google Scholar

86. Hare R, Neumann C. Psychopathy as a clinical and empirical construct. Annu Rev Clin Psychol. (2008) 4:217–46. doi: 10.1146/annurev.clinpsy.3.022806.091452

PubMed Abstract | CrossRef Full Text | Google Scholar

87. Leedom L. Psychopathy: a behavioral systems approach. In: Durbano F editor. Psychopathy: New Updates on an Old Phenomenon. London: IntechOpen (2017). p. 117–38. doi: 10.5772/intechopen.69488

CrossRef Full Text | Google Scholar

88. Blair R. The neurobiology of psychopathic traits in youths. Nat Rev Neurosci. (2013) 14:786–99. doi: 10.1038/nrn3577

PubMed Abstract | CrossRef Full Text | Google Scholar

89. Hamilton W. The genetical evolution of social behaviour II. J. Theoret. Biol. (1964) 7:17–52. doi: 10.1016/0022-5193(64)90039-6

CrossRef Full Text | Google Scholar

90. Buss D, Duntley J. Adaptations for exploitation. Group Dyn. (2008) 12:53–62. doi: 10.1037/1089-2699.12.1.53

CrossRef Full Text | Google Scholar

91. Meloy J, Book A, Hosker-Field A, Methot-Jones T, Roters J. Social, sexual, and violent predation: are psychopathic traits evolutionarily adaptive? Violence Gend. (2018) 5:153–65. doi: 10.1089/vio.2018.0012

CrossRef Full Text | Google Scholar

92. Book A, Costello K, Camilleri J. Psychopathy and victim selection: the use of gait as a cue to vulnerability. J Interpers Violence. (2013) 28:2368–83. doi: 10.1177/0886260512475315

PubMed Abstract | CrossRef Full Text | Google Scholar

93. Mealey L. The sociobiology of sociopathy: an integrated evolutionary model. Behav Brain Sci. (1995) 18:523–41. doi: 10.1017/S0140525X00039595

CrossRef Full Text | Google Scholar

94. Jonason P, Li N, Webster G, Schmitt D. The dark triad: facilitating a short-term mating strategy in men. Eur J Pers. (2009) 18:5–18. doi: 10.1002/per

CrossRef Full Text | Google Scholar

95. Ene I, Wong K, Salali G. Is it good to be bad? An evolutionary analysis of psychopathic traits. Evol Hum Sci. (2022) 4:E37. doi: 10.1017/ehs.2022.36

CrossRef Full Text | Google Scholar

96. Kardum I, Hudek-Knezevic J, Marijanović K, Shackelford T. Predicting mate poaching experiences from personality traits using a dyadic analysis. J Sex Res. (2022) 5:1–15. doi: 10.1080/00224499.2022.2092586

PubMed Abstract | CrossRef Full Text | Google Scholar

97. Sylwester K, Pawłowski B. Daring to be darling: attractiveness of risk takers as partners in long- and short-term sexual relationships. Sex Roles. (2011) 64:695–706. doi: 10.1007/s11199-010-9790-6

CrossRef Full Text | Google Scholar

98. Back M, Schmukle S, Egloff B. Why are narcissists so charming at first sight? Decoding the narcissism-popularity link at zero acquaintance. J Pers Soc Psychol. (2010) 98:132–45. doi: 10.1037/a0016338

PubMed Abstract | CrossRef Full Text | Google Scholar

99. Holtzman N, Strube M. The intertwined evolution of narcissism and short-term mating: an emerging hypothesis. In: Campbell W, Miller J editors. The Handbook of Narcissism and Narcissistic Personality Disorder: Theoretical Approaches, Empirical Findings, and Treatments. Oxford: John Wiley Sons, Inc (2011). p. 210–20. doi: 10.1002/9781118093108.ch19

CrossRef Full Text | Google Scholar

100. Brüne M, Jiaqing O, Schojai M, Decker C, Edel M. Mating strategies and experience of early adversity in female patients with borderline personality disorder: insights from life history theory. Pers Individ Diff. (2017) 113:147–54. doi: 10.1016/j.paid.2017.03.024

CrossRef Full Text | Google Scholar

101. De Genna N, Feske U, Larkby C, Angiolieri T, Gold M. Pregnancies, abortions, and births among women with and without borderline personality disorder. Womens Health Issues. (2012) 22:e371–7. doi: 10.1016/j.whi.2012.05.002

PubMed Abstract | CrossRef Full Text | Google Scholar

102. Međedović J, Petrović B, Želeskov-Đorić J, Savić M. Interpersonal and affective psychopathy traits can enhance human fitness. Evol Psychol Sci. (2017) 3:306–15. doi: 10.1007/s40806-017-0097-5

CrossRef Full Text | Google Scholar

103. Beaver K, da Silva Costa C, Poersch A, Freddi M, Stelmach M, Connolly E, et al. Psychopathic personality traits and their influence on parenting quality: results from a nationally representative sample of Americans. Psychiatr Q. (2014) 85:497–511. doi: 10.1007/s11126-014-9308-4

PubMed Abstract | CrossRef Full Text | Google Scholar

104. Međedović J, Petrović B. Quantity-quality trade-offs may partially explain inter-individual variation in psychopathy. Adapt Human Behav Physiol. (2019) 5:211–26. doi: 10.1007/s40750-019-00113-4

CrossRef Full Text | Google Scholar

105. Alvergne A, Lummaa V. Does the contraceptive pill alter mate choice in humans? Trends Ecol Evol. (2010) 25:171–9. doi: 10.1016/j.tree.2009.08.003

PubMed Abstract | CrossRef Full Text | Google Scholar

106. Yao S, Långström N, Temrin H, Walum H. Criminal offending as part of an alternative reproductive strategy: investigating evolutionary hypotheses using Swedish total population data. Evol Hum Behav. (2014) 35:481–8. doi: 10.1016/j.evolhumbehav.2014.06.007

CrossRef Full Text | Google Scholar

107. Qu C, Ligneul R, Van der Henst J, Dreher J. An integrative interdisciplinary perspective on social dominance hierarchies. Trends Cogn Sci. (2017) 21:893–908. doi: 10.1016/j.tics.2017.08.004

PubMed Abstract | CrossRef Full Text | Google Scholar

108. Pietraszewski D. The evolution of leadership: leadership and followership as a solution to the problem of creating and executing successful coordination and cooperation enterprises. Leadersh Q. (2020) 31:101299. doi: 10.1016/j.leaqua.2019.05.006

CrossRef Full Text | Google Scholar

109. Gülgöz S, Gelman S. Who’s the boss? Concepts of social power across development. Child Dev. (2017) 88:946–63. doi: 10.1111/cdev.12643

PubMed Abstract | CrossRef Full Text | Google Scholar

110. Burgoon J, Dunbar N. Nonverbal expressions of dominance and power in human relationships. In: Manusov V, Patterson M editors. The Sage Handbook of Nonverbal Communication. Thousand Oaks, CA: SAGE Publications, Inc (2006). p. 279–98.

Google Scholar

111. Grueter C, Isler K, Dixson B. Are badges of status adaptive in large complex primate groups? Evol Hum Behav. (2015) 36:398–406. doi: 10.1016/j.evolhumbehav.2015.03.003

CrossRef Full Text | Google Scholar

112. Nevicka B, Sedikides C. Employee narcissism and promotability prospects. J Pers. (2021) 89:847–62. doi: 10.1111/jopy.12619

PubMed Abstract | CrossRef Full Text | Google Scholar

113. Ang T, Manica A. Benefits and costs of dominance in the angelfish centropyge bicolor. Ethology. (2010) 116:855–65. doi: 10.1111/j.1439-0310.2010.01798.x

CrossRef Full Text | Google Scholar

114. Verhulst S, Geerdink M, Salomons H, Boonekamp J. Social life histories: jackdaw dominance increases with age, terminally declines and shortens lifespan. Proc R Soc B. (2014) 281:20141045. doi: 10.1098/rspb.2014.1045

PubMed Abstract | CrossRef Full Text | Google Scholar

115. Miller J, Campbell W, Pilkonis P. Narcissistic personality disorder: relations with distress and functional impairment. Compr Psychiatry. (2007) 48:170–7. doi: 10.1016/j.comppsych.2006.10.003

PubMed Abstract | CrossRef Full Text | Google Scholar

116. Arabi S. Narcissistic and psychopathic traits in romantic partners predict post-traumatic stress disorder symptomology: evidence for unique impact in a large sample. Pers Individ Diff. (2023) 201:111942. doi: 10.1016/j.paid.2022.111942

CrossRef Full Text | Google Scholar

117. Holtzman N, Donnellan M. The roots of narcissus: old and new models of the evolution of narcissism. In: Zeigler-Hill V, Welling L, Shackelford T editors. Evolutionary Perspectives on Social Psychology. New York, NY: Springer International Publishing (2015). p. 479–89. doi: 10.1007/978-3-319-12697-5_36

CrossRef Full Text | Google Scholar

118. Brunell A, Gentry W, Campbell W, Hoffman B, Kuhnert K, Demarree K. Leader emergence: the case of the narcissistic leader. Pers Soc Psychol Bull. (2008) 34:1663–76. doi: 10.1177/0146167208324101

PubMed Abstract | CrossRef Full Text | Google Scholar

119. Watts A, Lilienfeld S, Smith S, Miller J, Campbell W, Waldman I, et al. The double-edged sword of grandiose narcissism: implications for successful and unsuccessful leadership among U.S. presidents. Psychol Sci. (2013) 24:2379–89. doi: 10.1177/0956797613491970

PubMed Abstract | CrossRef Full Text | Google Scholar

120. O’Reilly C, Doerr B, Caldwell D, Chatman J. Narcissistic CEOs and executive compensation. Leadersh Q. (2014) 25:218–31. doi: 10.1016/j.leaqua.2013.08.002

CrossRef Full Text | Google Scholar

121. Spurk D, Keller A, Hirschi A. Do bad guys get ahead or fall behind? Relationships of the dark triad of personality with objective and subjective career success. Soc Psychol Personal Sci. (2016) 7:113–21. doi: 10.1177/1948550615609735

CrossRef Full Text | Google Scholar

122. Young S, Pinsky D. Narcissism and celebrity. J Res Pers. (2006) 40:463–71. doi: 10.1016/j.jrp.2006.05.005

CrossRef Full Text | Google Scholar

123. Von Rueden C, Gurven M, Kaplan H. Why do men seek status? Fitness payoffs to dominance and prestige. Proc R Soc B. (2011) 278:2223–32. doi: 10.1098/rspb.2010.2145

PubMed Abstract | CrossRef Full Text | Google Scholar

124. Kifer Y, Heller D, Perunovic W, Galinsky A. The good life of the powerful: the experience of power and authenticity enhances subjective well-being. Psychol Sci. (2013) 24:280–8. doi: 10.1177/0956797612450891

PubMed Abstract | CrossRef Full Text | Google Scholar

125. Anderson C, Hildreth J, Howland L. Is the desire for status a fundamental human motive? A review of the empirical literature. Psychol Bull. (2015) 141:574–601. doi: 10.1037/a0038781

PubMed Abstract | CrossRef Full Text | Google Scholar

126. Redhead D, Cheng J, O’Gorman R. Higher status in group. In: Shackelford T, Weekes-Shackelford V editors. Encyclopedia of Evolutionary Psychological Science. Cham: Springer (2021). p. 3705–9. doi: 10.1007/978-3-319-19650-3_3495

CrossRef Full Text | Google Scholar

127. Jonason P, Baughman H, Carter G, Parker P. Dorian Gray without his portrait: psychological, social, and physical health costs associated with the dark triad. Pers Individ Diff. (2015) 78:5–13. doi: 10.1016/j.paid.2015.01.008

CrossRef Full Text | Google Scholar

128. Pepper G, Nettle D. The behavioural constellation of deprivation: causes and consequences. Behav Brain Sci. (2017) 40:E314. doi: 10.1017/S0140525X1600234X

PubMed Abstract | CrossRef Full Text | Google Scholar

129. Rablen M, Oswald A. Mortality and immortality: the Nobel prize as an experiment into the effect of status upon longevity. J Health Econ. (2008) 27:1462–71. doi: 10.1016/j.jhealeco.2008.06.001

PubMed Abstract | CrossRef Full Text | Google Scholar

130. Permanyer I, Spijker J, Blanes A, Renteria E. Longevity and lifespan variation by educational attainment in Spain: 1960-2015. Demography. (2018) 55:2045–70. doi: 10.1007/s13524-018-0718-z

PubMed Abstract | CrossRef Full Text | Google Scholar

131. Udry J, Eckland B. Benefits of being attractive: differential payoffs for men and women. Psychol Rep. (1984) 54:47–56. doi: 10.2466/pr0.1984.54.1.47

CrossRef Full Text | Google Scholar

132. Von Rueden C, Jaeggi A. Men’s status and reproductive success in 33 nonindustrial societies: effects of subsistence, marriage system, and reproductive strategy. Proc Natl Acad Sci U.S.A. (2016) 113:10824–9. doi: 10.1073/pnas.1606800113

PubMed Abstract | CrossRef Full Text | Google Scholar

133. Hopcroft RL. High income men have high value as long-term mates in the U.S.: personal income and the probability of marriage, divorce, and childbearing in the U.S. Evol Hum Behav. (2021) 42:409–17. doi: 10.1016/j.evolhumbehav.2021.03.004

CrossRef Full Text | Google Scholar

134. Fieder M, Huber S, Bookstein F, Iber K. Status and reproduction in humans: new evidence for the validity of evolutionary explanations on basis of a university sample. Ethology. (2005) 111:940–50. doi: 10.1111/j.1439-0310.2005.01129.x

CrossRef Full Text | Google Scholar

135. Skjærvø G, Bongard T, Viken Å, Stokke B, Røskaft E. Wealth, status, and fitness: a historical study of Norwegians in variable environments. Evol Hum Behav. (2011) 32:305–14. doi: 10.1016/j.evolhumbehav.2010.11.006

CrossRef Full Text | Google Scholar

136. Hopcroft R. Sex differences in the relationship between status and number of offspring in the contemporary U.S. Evol Hum Behav. (2015) 36:146–51. doi: 10.1016/j.evolhumbehav.2014.10.003

CrossRef Full Text | Google Scholar

137. Colleran H, Jasienska G, Nenko I, Galbarczyk A, Mace R. Fertility decline and the changing dynamics of wealth, status and inequality. Proc R Soc B. (2015) 282:20150287. doi: 10.1098/rspb.2015.0287

PubMed Abstract | CrossRef Full Text | Google Scholar

138. Fieder M, Huber S. The effects of sex and childlessness on the association between status and reproductive output in modern society. Evol Hum Behav. (2007) 28:392–8. doi: 10.1016/j.evolhumbehav.2007.05.004

CrossRef Full Text | Google Scholar

139. Magee J, Galinsky A. Social hierarchy: the self-reinforcing nature of power and status. Acad Manag Ann. (2008) 2:351–98. doi: 10.1080/19416520802211628

CrossRef Full Text | Google Scholar

140. Galinsky A, Rucker D, Magee J. Power: past findings, present considerations, and future directions. In: Mikulincer M, Shaver P, Simpson J, Dovidio J editors. APA Handbook of Personality and Social Psychology. Interpersonal Relations. (Vol. 3), Washington, DC: American Psychological Association (2015). p. 421–60. doi: 10.1037/14344-016

CrossRef Full Text | Google Scholar

141. Barinaga M. Social status sculpts activity of crayfish neurons. Science. (1996) 271:290–1. doi: 10.1126/science.271.5247.290

PubMed Abstract | CrossRef Full Text | Google Scholar

142. Edwards D, Spitzer N. Social dominance and serotonin receptor genes in crayfish. Curr Top Dev Biol. (2006) 74:177–99. doi: 10.1016/S0070-2153(06)74006-6

CrossRef Full Text | Google Scholar

143. Schafer M, Schiller D. A dominant role for serotonin in the formation of human social hierarchies. Neuropsychopharmacology. (2022) 47:2177–8. doi: 10.1038/s41386-022-01433-y

PubMed Abstract | CrossRef Full Text | Google Scholar

144. Goessmann C, Hemelrijk C, Huber R. The formation and maintenance of crayfish hierarchies: behavioral and self-structuring properties. Behav Ecol Sociobiol. (2000) 48:418–28. doi: 10.1007/s002650000222

CrossRef Full Text | Google Scholar

145. Von Holst D. Psychosocial stress and its pathophysiological effects in tree shrews (Tupaia belangeri). In: Schmidt T, Dembroski T, Blümchen G editors. Biological and Psychological Factors in Cardiovascular Disease. Berlin: Springer-Verlag (1986). p. 476–90. doi: 10.1007/978-3-642-71234-0_29

CrossRef Full Text | Google Scholar

146. Raleigh M, McGuire M, Brammer G, Yuwiler A. Social and environmental influences on blood serotonin concentrations in monkeys. Arch Gen Psychiatry. (1984) 41:405–10. doi: 10.1001/archpsyc.1984.01790150095013

PubMed Abstract | CrossRef Full Text | Google Scholar

147. Raleigh M, McGuire M, Brammer G, Pollack D, Yuwiler A. Serotonergic mechanisms promote dominance acquisition in adult male vervet monkeys. Brain Res. (1991) 559:181–90. doi: 10.1016/0006-8993(91)90001-C

CrossRef Full Text | Google Scholar

148. Josephs R, Sellers J, Newman M. The mismatch effect: when testosterone and status are at odds. J Pers Soc Psychol. (2006) 90:999–1013. doi: 10.1037/0022-3514.90.6.999

PubMed Abstract | CrossRef Full Text | Google Scholar

149. Wilson D. Adaptive genetic variation and human evolutionary psychology. Ethol Sociobiol. (1994) 15:219–35. doi: 10.1016/0162-3095(94)90015-9

CrossRef Full Text | Google Scholar

150. Wilson D. Adaptive individual differences within single populations. Philos Trans R Soc Lond B Biol Sci. (1998) 353:199–205. doi: 10.1098/rstb.1998.0202

CrossRef Full Text | Google Scholar

151. Dall S, Houston A, McNamara J. The behavioural ecology of personality: consistent individual differences from an adaptive perspective. Ecol Lett. (2004) 7:734–9. doi: 10.1111/j.1461-0248.2004.00618.x

CrossRef Full Text | Google Scholar

152. Houle D. How should we explain variation in the genetic variance of traits? Genetica. (1998) 102:241–53. doi: 10.1023/A:1017034925212

CrossRef Full Text | Google Scholar

153. Charlesworth D, Barton N, Charlesworth B. The sources of adaptive variation. Proc R Soc B. (2017) 284:20162864.

Google Scholar

154. Buss D. How can evolutionary psychology successfully explain personality and individual differences? Perspect Psychol Sci. (2009) 4:359–66. doi: 10.1111/j.1745-6924.2009.01138.x

PubMed Abstract | CrossRef Full Text | Google Scholar

155. Gangestad S. Evolutionary processes explaining the genetic variance in personality: an exploration of scenarios. In: Buss DM, Hawley PH editors. The Evolution of Personality and Individual Differences. New York, NY: Oxford University Press (2011). p. 338–75.

Google Scholar

156. Réale D, Dingemanse N. Selection and evolutionary explanations for the maintenance of personality differences. In: Buss D, Hawley P editors. The Evolution of Personality and Individual Differences. New York, NY: Oxford University Press (2011). p. 400–24. doi: 10.1016/j.jtbi.2004.12.021

PubMed Abstract | CrossRef Full Text | Google Scholar

157. Arslan R, Penke L. Evolutionary genetics. 2nd ed. In: Buss D editor. Handbook of Evolutionary Psychology. Integrations. (Vol. 2), New York, NY: Wiley (2015). p. 1047–66. doi: 10.1002/9781119125563.evpsych245

CrossRef Full Text | Google Scholar

158. Ewald P. Darwinian medicine: evolutionary approaches to disease. In: Callan H editor. The International Encyclopedia of Anthropology. Oxford: John Wiley & Sons, Ltd (2018). p. 1–9. doi: 10.1002/9781118924396.wbiea1862

CrossRef Full Text | Google Scholar

159. Lewis D, Al-Shawaf L, Buss D. Evolutionary personality psychology. In: Corr P, Matthews G editors. The Cambridge Handbook of Personality Psychology. Cambridge: Cambridge University Press (2020). p. 223–34. doi: 10.1016/j.cub.2007.01.01210.1017/9781108264822.022

CrossRef Full Text | Google Scholar

160. Del Giudice, M, Haltigan J. An integrative evolutionary framework for psychopathology. Dev Psychopathol. (2021) 1–11. doi: 10.1017/S0954579421000870 [Epub ahead of print].

PubMed Abstract | CrossRef Full Text | Google Scholar

161. Tooby J, Cosmides L. On the universality of human nature and the uniqueness of the individual: the role of genetics and adaptation. J Pers. (1990) 58:17–67. doi: 10.1111/j.1467-6494.1990.tb00907.x

PubMed Abstract | CrossRef Full Text | Google Scholar

162. Jokela M, Kivimäki M, Elovainio M, Keltikangas-Järvinen L. Personality and having children: a two-way relationship. J Pers Soc Psychol. (2009) 96:218–30. doi: 10.1037/a0014058

PubMed Abstract | CrossRef Full Text | Google Scholar

163. Kight C, David M, Dall S. The evolution of animal personality variation. In: Kehrer-Sawatzki H editor. Encyclopedia of Life Sciences. Chichester: John Wiley and Sons Ltd (2013). p. 1–8. doi: 10.1002/9780470015902.a0024662

CrossRef Full Text | Google Scholar

164. Penke L, Jokela M. The evolutionary genetics of personality revisited. Curr Opin Psychol. (2016) 7:104–9. doi: 10.1016/j.copsyc.2015.08.021

CrossRef Full Text | Google Scholar

165. Miller G. Foreword. In: Adriaens P, De Block A editors. Maladapting Minds: Philosophy, Psychiatry, and Evolutionary Theory. New York, NY: Oxford University Press (2011). doi: 10.1093/med/9780199558667.001.0001

CrossRef Full Text | Google Scholar

166. Sasani T, Pedersen B, Gao Z, Baird L, Przeworski M, Jorde L, et al. Large, three-generation human families reveal post-zygotic mosaicism and variability in germline mutation accumulation. Elife. (2019) 8:e46922. doi: 10.7554/eLife.46922

PubMed Abstract | CrossRef Full Text | Google Scholar

167. Chabris C, Lee J, Cesarini D, Benjamin D, Laibson D. The fourth law of behavior genetics. Curr Dir Psychol Sci. (2015) 24:304–12. doi: 10.1177/0963721415580430

PubMed Abstract | CrossRef Full Text | Google Scholar

168. Arslan R, Willführ K, Frans E, Verweij K, Bürkner P, Myrskylä M, et al. Older fathers’ children have lower evolutionary fitness across four centuries and in four populations. Proc R Soc B. (2017) 284:20171562. doi: 10.1098/rspb.2017.1562

PubMed Abstract | CrossRef Full Text | Google Scholar

169. Gangestad S. Developmental instability, fluctuating asymmetry, and human psychological science. Emerg Top Life Sci. (2022) 6:311–22. doi: 10.1042/ETLS20220025

PubMed Abstract | CrossRef Full Text | Google Scholar

170. Van Dongen S, Gangestad S. Human fluctuating asymmetry in relation to health and quality: a meta-analysis. Evol Hum Behav. (2011) 32:380–98. doi: 10.1016/j.evolhumbehav.2011.03.002

CrossRef Full Text | Google Scholar

171. Hope D, Bates T, Penke L, Gow A, Starr J, Deary I. Fluctuating asymmetry and personality. Pers Individ Diff. (2011) 50:49–52. doi: 10.1016/j.paid.2010.08.020

CrossRef Full Text | Google Scholar

172. Holtzman N, Augustine A, Senne A. Are pro-social or socially aversive people more physically symmetrical? Symmetry in relation to over 200 personality variables. J Res Pers. (2011) 45:687–91. doi: 10.1016/j.jrp.2011.08.003

CrossRef Full Text | Google Scholar

173. Rowe L, Houle D. The lek paradox and the capture of genetic variance by condition dependent traits. Proc R Soc Lond B Biol Sci. (1996) 263:1415–21. doi: 10.1098/rspb.1996.0207

CrossRef Full Text | Google Scholar

174. Charlesworth D, Willis J. The genetics of inbreeding depression. Nat Rev Genet. (2009) 10:783–96. doi: 10.1038/nrg2664

PubMed Abstract | CrossRef Full Text | Google Scholar

175. Tomkins J, Radwan J, Kotiaho J, Tregenza T. Genic capture and resolving the lek paradox. Trends Ecol Evol. (2004) 19:323–8. doi: 10.1016/j.tree.2004.03.029

PubMed Abstract | CrossRef Full Text | Google Scholar

176. Herdegen-Radwan M. Does inbreeding affect personality traits? Ecol Evol. (2019) 9:10929–37. doi: 10.1002/ece3.5487

PubMed Abstract | CrossRef Full Text | Google Scholar

177. Verweij K, Yang J, Lahti J, Veijola J, Hintsanen M, Pulkki-Råback L, et al. Maintenance of genetic variation in human personality: testing evolutionary models by estimating heritability due to common causal variants and investigating the effect of distant inbreeding. Evolution. (2012) 66:3238–51. doi: 10.1111/j.1558-5646.2012.01679.x

PubMed Abstract | CrossRef Full Text | Google Scholar

178. Verweij K, Abdellaoui A, Veijola J, Sebert S, Koiranen M, Keller M, et al. The association of genotype-based inbreeding coefficient with a range of physical and psychological human traits. PLoS One. (2014) 9:e103102. doi: 10.1371/journal.pone.0103102

PubMed Abstract | CrossRef Full Text | Google Scholar

179. Johnson E, Evans L, Keller M. Relationships between estimated autozygosity and complex traits in the UK Biobank. PLoS Genet. (2018) 14:e1007556. doi: 10.1371/journal.pgen.1007556

PubMed Abstract | CrossRef Full Text | Google Scholar

180. Kingsolver J, Diamond S. Phenotypic selection in natural populations: what limits directional selection? Am Nat. (2011) 177:346–57. doi: 10.1086/658341

PubMed Abstract | CrossRef Full Text | Google Scholar

181. Shumate A, Teale S, Ayres B, Ayres M. Disruptive selection maintains variable pheromone blends in the bark beetle Ips pini. Environ Entomol. (2011) 40:1530–40. doi: 10.1603/EN10127

PubMed Abstract | CrossRef Full Text | Google Scholar

182. Siepielski A, Dibattista J, Carlson S. It’s about time: the temporal dynamics of phenotypic selection in the wild. Ecol Lett. (2009) 12:1261–76. doi: 10.1111/j.1461-0248.2009.01381.x

PubMed Abstract | CrossRef Full Text | Google Scholar

183. Hedrick P. Balancing selection. Curr Biol. (2007) 17:230–1. doi: 10.1016/j.cub.2007.01.012

PubMed Abstract | CrossRef Full Text | Google Scholar

184. Dingemanse N, Réale D. What is the evidence for natural selection maintaining animal personality variation? In: Carere C, Maestripieri D editors. Animal Personalities: Behavior, Physiology, and Evolution. Chicago, IL: University of Chicago Press (2013). p. 201–20. doi: 10.7208/chicago/9780226922065.003.0008

CrossRef Full Text | Google Scholar

185. Roff D, Fairbairn D. The evolution of trade-offs: where are we? J Evol Biol. (2007) 20:433–47. doi: 10.1111/j.1420-9101.2006.01255.x

PubMed Abstract | CrossRef Full Text | Google Scholar

186. Bell G. Fluctuating selection: the perpetual renewal of adaptation in variable environments. Philos Trans R Soc Lond B Biol Sci. (2010) 365:87–97. doi: 10.1098/rstb.2009.0150

PubMed Abstract | CrossRef Full Text | Google Scholar

187. Quinn J, Patrick S, Bouwhuis S, Wilkin T, Sheldon B. Heterogeneous selection on a heritable temperament trait in a variable environment. J Anim Ecol. (2009) 78:1203–15. doi: 10.1111/j.1365-2656.2009.01585.x

PubMed Abstract | CrossRef Full Text | Google Scholar

188. Dingemanse N, Both C, Drent P, Tinbergen J. Fitness consequences of avian personalities in a fluctuating environment. Proc R Soc Lond B. (2004) 271:847–52. doi: 10.1098/rspb.2004.2680

PubMed Abstract | CrossRef Full Text | Google Scholar

189. Wilson D, Clark A, Coleman K, Dearstyne T. Shyness and boldness in humans and other animals. Trends Ecol Evol. (1994) 9:442–6. doi: 10.1016/0169-5347(94)90134-1

CrossRef Full Text | Google Scholar

190. O’Steen S, Cullum A, Bennett A. Rapid evolution of escape ability in Trinidadian guppies (Poecilia reticulata). Evolution. (2002) 56:776–84. doi: 10.1111/j.0014-3820.2002.tb01388.x

PubMed Abstract | CrossRef Full Text | Google Scholar

191. Réale D, Festa-Bianchet M. Predator-induced natural selection on temperament in bighorn ewes. Anim Behav. (2003) 65:463–70. doi: 10.1006/anbe.2003.2100

CrossRef Full Text | Google Scholar

192. Biro P, Post J. Rapid depletion of genotypes with fast growth and bold personality traits from harvested fish populations. Proc Natl Acad Sci U.S.A. (2008) 105:2919–22. doi: 10.1073/pnas.0708159105

PubMed Abstract | CrossRef Full Text | Google Scholar

193. Le Coeur C, Thibault M, Pisanu B, Thibault S, Chapuis J, Baudry E. Temporally fluctuating selection on a personality trait in a wild rodent population. Behav Ecol. (2015) 26:1285–91. doi: 10.1093/beheco/arv074

CrossRef Full Text | Google Scholar

194. Gurven M, Von Rueden C, Stieglitz J, Kaplan H, Rodriguez D. The evolutionary fitness of personality traits in a small-scale subsistence society. Evol Hum Behav. (2014) 35:17–25. doi: 10.1016/j.evolhumbehav.2013.09.002

PubMed Abstract | CrossRef Full Text | Google Scholar

195. Jokela M. Birth-cohort effects in the association between personality and fertility. Psychol Sci. (2012) 23:835–41. doi: 10.1177/0956797612439067

PubMed Abstract | CrossRef Full Text | Google Scholar

196. Reynolds J, McCrea S. Environmental constraints on the functionality of inhibitory self-control: sometimes you should eat the donut. Self Identity. (2019) 18:60–86. doi: 10.1080/15298868.2017.1354066

CrossRef Full Text | Google Scholar

197. White A, Li Y, Griskevicius V, Neuberg S, Kenrick D. Putting all your eggs in one basket: life-history strategies, bet hedging, and diversification. Psychol Sci. (2013) 24:715–22. doi: 10.1177/0956797612461919

PubMed Abstract | CrossRef Full Text | Google Scholar

198. Maynard-Smith J. Evolution and the Theory of Games. Cambridge: Cambridge University Press (1982). p. 234. doi: 10.1017/CBO9780511806292

CrossRef Full Text | Google Scholar

199. Roff D. The maintenance of phenotypic and genetic variation in threshold traits by frequency-dependent selection. J Evol Biol. (1998) 11:513–29. doi: 10.1007/s000360050103

CrossRef Full Text | Google Scholar

200. Wolf M, McNamara J. On the evolution of personalities via frequency-dependent selection. Am Nat. (2012) 179:679–92. doi: 10.1086/665656

PubMed Abstract | CrossRef Full Text | Google Scholar

201. Sinervo B, Calsbeek R. The developmental, physiological, neural, and genetical causes and consequences of frequency-dependent selection in the wild. Annu Rev Ecol Evol Syst. (2006) 37:581–610. doi: 10.1146/annurev.ecolsys.37.091305.110128

CrossRef Full Text | Google Scholar

202. Gross M. Disruptive selection for alternative life histories in salmon. Nature. (1985) 313:47–8. doi: 10.1038/313047a0

CrossRef Full Text | Google Scholar

203. Figueredo A, Vasquez G, Brumbach B, Sefcek J, Kirsner B, Jacobs W. The K-factor: individual differences in life history strategy. Pers Individ Diff. (2005) 39:1349–60. doi: 10.1016/j.paid.2005.06.009

CrossRef Full Text | Google Scholar

204. Colman A, Wilson J. Antisocial personality disorder: an evolutionary game theory analysis. Legal Criminol Psychol. (1997) 2:23–34. doi: 10.1111/j.2044-8333.1997.tb00330.x

CrossRef Full Text | Google Scholar

205. Hale R, Swearer S. Ecological traps: current evidence and future directions. Proc R Soc B. (2016) 283:20152647. doi: 10.1098/rspb.2015.2647

PubMed Abstract | CrossRef Full Text | Google Scholar

206. Robertson B, Chalfoun A. Evolutionary traps as keys to understanding behavioral maladapation. Curr Opin Behav Sci. (2016) 12:12–7. doi: 10.1016/j.cobeha.2016.08.007

CrossRef Full Text | Google Scholar

207. Bellisari A. Evolutionary origins of obesity. Obes Rev. (2008) 9:165–80. doi: 10.1111/j.1467-789X.2007.00392.x

PubMed Abstract | CrossRef Full Text | Google Scholar

208. Williams J, Taylor E. The evolution of hyperactivity, impulsivity and cognitive diversity. J R Soc Interface. (2006) 3:399–413. doi: 10.1098/rsif.2005.0102

PubMed Abstract | CrossRef Full Text | Google Scholar

209. Li N, Van Vugt M, Colarelli S. The evolutionary mismatch hypothesis: implications for psychological science. Curr Dir Psychol Sci. (2018) 27:38–44. doi: 10.1177/0963721417731378

CrossRef Full Text | Google Scholar

210. Maner J, Kenrick D. When adaptations go awry: functional and dysfunctional aspects of social anxiety. Soc Issues Policy Rev. (2010) 4:111–42. doi: 10.1111/j.1751-2409.2010.01019.x

PubMed Abstract | CrossRef Full Text | Google Scholar

211. Stamps J. Growth-mortality tradeoffs and “personality traits” in animals. Ecol Lett. (2007) 10:55–63. doi: 10.1111/j.1461-0248.2007.01034.x

PubMed Abstract | CrossRef Full Text | Google Scholar

212. Högnäs R, Roelfs D, Shor E, Moore C, Reece T. J-curve? A meta-analysis and meta-regression of parity and parental mortality. Popul Res Policy Rev. (2017) 36:273–308. doi: 10.1007/s11113-016-9421-1

CrossRef Full Text | Google Scholar

213. Wolf M, Van Doorn G, Leimar O, Weissing F. Life-history trade-offs favour the evolution of animal personalities. Nature. (2007) 447:581–4. doi: 10.1038/nature05835

PubMed Abstract | CrossRef Full Text | Google Scholar

214. Promislow D. Costs of sexual selection in natural populations of mammals. Proc R Soc Lond B. (1992) 247:203–10. doi: 10.1098/rspb.1992.0030

CrossRef Full Text | Google Scholar

215. Clutton-Brock T. Reproductive competition and sexual selection. Trans R Soc B. (2017) 372:20160310. doi: 10.1098/rstb.2016.0310

PubMed Abstract | CrossRef Full Text | Google Scholar

216. Zahavi A. Mate selection – a selection for a handicap. J Theor Biol. (1975) 53:205–14. doi: 10.1016/0022-5193(75)90111-3

CrossRef Full Text | Google Scholar

217. Gangestad S, Simpson J. The evolution of human mating: trade-offs and strategic pluralism. Behav Brain Sci. (2000) 23:573–87. doi: 10.1017/S0140525X0000337X

PubMed Abstract | CrossRef Full Text | Google Scholar

218. Martínez-Ruiz C, Knell R. Sexual selection can both increase and decrease extinction probability: reconciling demographic and evolutionary factors. J Anim Ecol. (2017) 86:117–27. doi: 10.1111/1365-2656.12601

PubMed Abstract | CrossRef Full Text | Google Scholar

219. Schuett W, Tregenza T, Dall S. Sexual selection and animal personality. Biol Rev Camb Philos Soc. (2010) 85:217–46. doi: 10.1111/j.1469-185X.2009.00101.x

PubMed Abstract | CrossRef Full Text | Google Scholar

220. Nettle D. An evolutionary approach to the extraversion continuum. Evol Hum Behav. (2005) 26:363–73. doi: 10.1016/j.evolhumbehav.2004.12.004

CrossRef Full Text | Google Scholar

221. Alvergne A, Jokela M, Lummaa V. Personality and reproductive success in a high-fertility human population. Proc Natl Acad Sci U.S.A. (2010) 107:11745–50. doi: 10.1073/pnas.1001752107

PubMed Abstract | CrossRef Full Text | Google Scholar

222. Jonason P, Cetrulo J, Ortiz J. Avoiding the wash: extraversion provides a net fitness gain. J Soc Evol Cult Psychol. (2011) 5:146–54. doi: 10.1037/h0099268

CrossRef Full Text | Google Scholar

223. Jokela M, Alvergne A, Pollet T, Lummaa V. Reproductive behavior and personality traits of the five factor model. Eur J Pers. (2011) 25:487–500. doi: 10.1002/per.822

CrossRef Full Text | Google Scholar

224. Bailey D, Walker R, Blomquist G, Hill K, Hurtado A, Geary D. Heritability and fitness correlates of personality in the Ache, a natural-fertility population in Paraguay. PLoS One. (2013) 8:e59325. doi: 10.1371/journal.pone.0059325

PubMed Abstract | CrossRef Full Text | Google Scholar

225. Berg V, Rotkirch A, Väisänen H, Jokela M. Personality is differentially associated with planned and non-planned pregnancies. J Res Pers. (2013) 47:296–305. doi: 10.1016/j.jrp.2013.01.010

CrossRef Full Text | Google Scholar

226. Chapman B, Huang A, Horner E, Peters K, Sempeles E, Roberts B, et al. High school personality traits and 48-year all-cause mortality risk: results from a national sample of 26845 baby boomers. J Epidemiol Commun Health. (2019) 73:106–10. doi: 10.1136/jech-2018-211076

PubMed Abstract | CrossRef Full Text | Google Scholar

227. Wilson M, Daly M. Competitiveness, risk taking, and violence: the young male syndrome. Ethol Sociobiol. (1985) 6:59–73. doi: 10.1016/0162-3095(85)90041-X

CrossRef Full Text | Google Scholar

228. Fessler D, Tiokhin L, Holbrook C, Gervais M, Snyder J. Foundations of the crazy bastard hypothesis: nonviolent physical risk-taking enhances conceptualized formidability. Evol Hum Behav. (2014) 35:26–33. doi: 10.1016/j.evolhumbehav.2013.09.003

CrossRef Full Text | Google Scholar

229. Archer J. Does sexual selection explain human sex differences in aggression? Behav Brain Sci. (2009) 32:249–66. doi: 10.1017/S0140525X09990951

PubMed Abstract | CrossRef Full Text | Google Scholar

230. Stearns S. Life history evolution: successes, limitations, and prospects. Naturwissenschaften. (2000) 87:476–86. doi: 10.1007/s001140050763

PubMed Abstract | CrossRef Full Text | Google Scholar

231. Garland T, Downs C, Ives A. Trade-offs (and constraints) in organismal biology. Physiol Biochem Zool. (2022) 95:82–112. doi: 10.1086/717897

PubMed Abstract | CrossRef Full Text | Google Scholar

232. Lawson D, Mace R. Parental investment and the optimization of human family size. Philos Trans R Soc Lond B Biol Sci. (2011) 366:333–43. doi: 10.1098/rstb.2010.0297

PubMed Abstract | CrossRef Full Text | Google Scholar

233. Promislow D, Harvey P. Living fast and dying young: a comparative analysis of life-history variation among mammals. J Zool. (1990) 220:417–37. doi: 10.1111/j.1469-7998.1990.tb04316.x

CrossRef Full Text | Google Scholar

234. Healy K, Ezard T, Jones O, Salguero-Gómez R, Buckley Y. Animal life history is shaped by the pace of life and the distribution of age-specific mortality and reproduction. Nat Ecol Evol. (2019) 3:1217–24. doi: 10.1038/s41559-019-0938-7

PubMed Abstract | CrossRef Full Text | Google Scholar

235. Reznick D, Bryant M, Bashey F. r- and K-selection revisited: the role of population regulation in life-history evolution. Ecology. (2002) 83:1509–20. doi: 10.1890/0012-9658(2002)083[1509:RAKSRT]2.0.CO;2

CrossRef Full Text | Google Scholar

236. Braendle C, Heyland F, Flatt T. Integrating mechanistic and evolutionary analysis of life history variation. In: Flatt T, Heyland F editors. Mechanisms of Life History Evolution. The Genetics and Physiology of life History Traits and Trade-Offs. New York, NY: Oxford University Press (2011). p. 3–10. doi: 10.1093/acprof:oso/9780199568765.001.0001

PubMed Abstract | CrossRef Full Text | Google Scholar

237. Réale D, Garant D, Humphries M, Bergeron P, Careau V, Montiglio P. Personality and the emergence of the pace-of-life syndrome concept at the population level. Philos Trans R Soc Lond B Biol Sci. (2010) 365:4051–63. doi: 10.1098/rstb.2010.0208

PubMed Abstract | CrossRef Full Text | Google Scholar

238. Del Giudice M. Rethinking the fast-slow continuum of individual differences. Evol Hum Behav. (2020) 41:536–49. doi: 10.1016/j.evolhumbehav.2020.05.004

CrossRef Full Text | Google Scholar

239. Belsky J. The development of human reproductive strategies: progress and prospects. Curr Dir Psychol Sci. (2012) 21:310–6. doi: 10.1177/0963721412453588

CrossRef Full Text | Google Scholar

240. Del Giudice M. An evolutionary life history framework for psychopathology. Psychol Inq. (2014) 25:261–300. doi: 10.1080/1047840X.2014.884918

CrossRef Full Text | Google Scholar

241. Franklin-Luther P, Volk A. Personality traits associated with parenting, mating, and somatic investment decisions. Evol Behav Sci. (2022) 16:245–60. doi: 10.1037/ebs0000263

CrossRef Full Text | Google Scholar

242. Biro P, Stamps J. Are animal personality traits linked to life-history productivity? Trends Ecol Evol. (2008) 23:361–8. doi: 10.1016/j.tree.2008.04.003

PubMed Abstract | CrossRef Full Text | Google Scholar

243. Polimeni J, Reiss J. Life history theory’s best chance: illuminating cluster B personality disorders. Psychol Inq. (2014) 25:360–2. doi: 10.1080/1047840X.2014.911639

CrossRef Full Text | Google Scholar

244. Del Giudice M. Evolutionary Psychopathology. New York, NY: Oxford University Press (2018). p. 560. doi: 10.1093/med-psych/9780190246846.001.0001

CrossRef Full Text | Google Scholar

245. Han W, Chen B. An evolutionary life history approach to understanding mental health. Gen Psychiatr. (2020) 33:e100113. doi: 10.1136/gpsych-2019-100113

PubMed Abstract | CrossRef Full Text | Google Scholar

246. Otto B, Kokkelink L, Brüne M. Borderline personality disorder in a “life history theory” perspective: evidence for a fast “pace-of-life-syndrome”. Front Psychol. (2021) 12:715153. doi: 10.3389/fpsyg.2021.715153

PubMed Abstract | CrossRef Full Text | Google Scholar

247. Gutiérrez F, Peri J, Baillès E, Sureda B, Gárriz M, Vall G, et al. A double-track pathway to fast strategy in humans and its personality correlates. Front Psychol. (2022) 13:889730. doi: 10.3389/fpsyg.2022.889730

PubMed Abstract | CrossRef Full Text | Google Scholar

248. Hertler S. The biologically-based bias of personality disorder diagnosis. Front Psychol. (2016) 7:1293. doi: 10.3389/fpsyg.2016.01293

PubMed Abstract | CrossRef Full Text | Google Scholar

249. Nettle D, Frankenhuis W. Life-history theory in psychology and evolutionary biology: one research programme or two? Phil Trans R Soc B. (2020) 375:20190490.

Google Scholar

250. Stearns S, Rodrigues A. On the use of “life history theory” in evolutionary psychology. Evol Hum Behav. (2020) 41:474–85. doi: 10.1016/j.evolhumbehav.2020.02.001

CrossRef Full Text | Google Scholar

251. Međedović J. Conservatism and religiousness participate in fast life history dynamics via elevated reproductive motivation. Pers Individ Diff. (2021) 183:111109. doi: 10.1016/j.paid.2021.111109

CrossRef Full Text | Google Scholar

252. Bolund E. The challenge of measuring trade-offs in human life history research. Evol Hum Behav. (2020) 41:502–12. doi: 10.1016/j

PubMed Abstract | CrossRef Full Text | Google Scholar

253. West-Eberhard M. Developmental Plasticity and Evolution. Oxford: Oxford University Press (2003). p. 816. doi: 10.1093/oso/9780195122343.001.0001

CrossRef Full Text | Google Scholar

254. Taborsky B. Developmental plasticity: preparing for life in a complex world. In: Naguib M, Podos J, Simmons L, Barrett L, Healy S, Zuk M editors. Advances in the Study of Behavior. (Vol. 49), Oxford: Academic Press (2017). p. 49–99. doi: 10.1016/bs.asb.2016.12.002

CrossRef Full Text | Google Scholar

255. Dingemanse N, Kazem A, Réale D, Wright J. Behavioural reaction norms: animal personality meets individual plasticity. Trends Ecol Evol. (2010) 25:81–9. doi: 10.1016/j.tree.2009.07.013

PubMed Abstract | CrossRef Full Text | Google Scholar

256. Dingemanse N, Wolf M. Between-individual differences in behavioural plasticity within populations: causes and consequences. Anim Behav. (2013) 85:1031–9. doi: 10.1016/j.anbehav.2012.12.032

CrossRef Full Text | Google Scholar

257. Stearns S. Evolution of reaction norms. In: Losos J editor. The Princeton Guide to Evolution. Princeton, NJ: Princeton University Press (2014). p. 261–7. doi: 10.1515/9781400848065

CrossRef Full Text | Google Scholar

258. Smith L, Holler R. Reaction norms and tokens. In: Shackelford T, Weekes-Shackelford V editors. Encyclopedia of Evolutionary Psychological Science. Cham: Springer (2021). p. 6466–8. doi: 10.1007/978-3-319-19650-3_416

CrossRef Full Text | Google Scholar

259. Murren C, Auld J, Callahan H, Ghalambor C, Handelsman C, Heskel M, et al. Constraints on the evolution of phenotypic plasticity: limits and costs of phenotype and plasticity. Heredity. (2015) 115:293–301. doi: 10.1038/hdy.2015.8

PubMed Abstract | CrossRef Full Text | Google Scholar

260. Scheiner S. Genetics and evolution of phenotypic plasticity. Annu Rev Ecol Evol Syst. (1993) 24:35–68. doi: 10.1146/annurev.es.24.110193.000343

CrossRef Full Text | Google Scholar

261. Pigliucci M. Evolution of phenotypic plasticity: where are we going now? Trends Ecol Evol. (2005) 20:481–6. doi: 10.1016/j.tree.2005.06.001

PubMed Abstract | CrossRef Full Text | Google Scholar

262. Mathot K, Dingemanse N. Plasticity and personality. In: Martin L, Ghalantor C, Woods H editors. Integrative Organismal Biology. Hoboken, NJ: John Wiley & Sons Inc (2015). p. 55–69. doi: 10.1002/9781118398814.ch4

CrossRef Full Text | Google Scholar

263. Stamps J. Individual differences in behavioural plasticities. Biol Rev. (2016) 91:534–67. doi: 10.1111/brv.12186

PubMed Abstract | CrossRef Full Text | Google Scholar

264. Stamps J, Biro P. Personality and individual differences in plasticity. Curr Opin Behav Sci. (2016) 12:18–23. doi: 10.1016/j.cobeha.2016.08.008

CrossRef Full Text | Google Scholar

265. Del Giudice M. The evolutionary context of personality development. In: McAdams P, Shiner R, Tackett J editors. Handbook of Personality Development. New York, NY: Guilford Press (2019). p. 20–39.

Google Scholar

266. Stamps J, Frankenhuis W. Bayesian models of development. Trends Ecol Evol. (2016) 31:260–8. doi: 10.1016/j.tree.2016.01.012

PubMed Abstract | CrossRef Full Text | Google Scholar

267. Bjorklund D. How Children Invented Humanity: The Role of Development in Human Evolution. New York, NY: Oxford University Press (2020). p. 392. doi: 10.1093/oso/9780190066864.001.0001

CrossRef Full Text | Google Scholar

268. Champagne F. Epigenetics and developmental plasticity across species. Dev Psychobiol. (2013) 55:33–41. doi: 10.1002/dev.21036

PubMed Abstract | CrossRef Full Text | Google Scholar

269. Piersma T, Drent J. Phenotypic flexibility and the evolution of organismal design. Trends Ecol Evol. (2003) 18:228–33. doi: 10.1016/S0169-5347(03)00036-3

CrossRef Full Text | Google Scholar

270. Rickard I, Lummaa V. The predictive adaptive response and metabolic syndrome: challenges for the hypothesis. Trends Endocrinol Metab. (2007) 18:94–9. doi: 10.1016/j.tem.2007.02.004

PubMed Abstract | CrossRef Full Text | Google Scholar

271. Bateson P, Gluckman P, Hanson M. The biology of developmental plasticity and the predictive adaptive response hypothesis. J Physiol. (2014) 592:2357–68. doi: 10.1113/jphysiol.2014.271460

PubMed Abstract | CrossRef Full Text | Google Scholar

272. Nettle D, Bateson M. Adaptive developmental plasticity: what is it, how can we recognize it and when can it evolve? Proc R Soc B. (2015) 282:20151005. doi: 10.1098/rspb.2015.1005

PubMed Abstract | CrossRef Full Text | Google Scholar

273. Reddon A. Parental effects on animal personality. Behav Ecol. (2012) 23:242–5. doi: 10.1093/beheco/arr210

CrossRef Full Text | Google Scholar

274. Lee T, Zucker I. Vole infant development is influenced perinatally by maternal photoperiodic history. Am J Physiol. (1988) 255:R831–8. doi: 10.1152/ajpregu.1988.255.5.R831

PubMed Abstract | CrossRef Full Text | Google Scholar

275. Chanen A, Thompson K. The development of personality disorders. In: McAdams D, Shiner R, Tackett J editors. Handbook of Personality Development. New York, NY: The Guilford Press (2019). p. 551–71.

Google Scholar

276. Reznick D, Ghalambor C. Can commercial fishing cause evolution? Answers from guppies (Poecilia reticulata). Can J Fish Aquat Sci. (2005) 62:791–801. doi: 10.1139/f05-079

CrossRef Full Text | Google Scholar

277. Belsky J, Steinberg L, Draper P. Childhood experience, interpersonal development, and reproductive strategy: an evolutionary theory of socialization. Child Dev. (1991) 62:647–70. doi: 10.1111/1467-8624.ep9109162242

CrossRef Full Text | Google Scholar

278. Simpson J, Belsky J. Attachment theory within a modern evolutionary framework. 3rd ed. In: Cassidy J, Shaver P editors. Handbook of Attachment: Theory, Research, and Clinical Applications. New York, NY: The Guilford Press (2016). p. 91–116. doi: 10.3389/fpsyg.2015.01322

PubMed Abstract | CrossRef Full Text | Google Scholar

279. Webster G, Graber J, Gesselman A, Crosier B, Schember T. Life history theory of father absence and menarche: a meta-analysis. Evol Psychol. (2014) 12:273–94. doi: 10.1177/147470491401200202

CrossRef Full Text | Google Scholar

280. Wilson M, Daly M. Life expectancy, economic inequality, homicide, and reproductive timing in Chicago neighbourhoods. Br Med J. (1997) 314:1271–4. doi: 10.1136/bmj.314.7089.1271

PubMed Abstract | CrossRef Full Text | Google Scholar

281. Ellis B. Timing of pubertal maturation in girls: an integrated life history approach. Psychol Bull. (2004) 130:920–58. doi: 10.1037/0033-2909.130.6.920

PubMed Abstract | CrossRef Full Text | Google Scholar

282. Pesonen A, Räikkönen K, Heinonen K, Kajantie E, Forsén T, Eriksson J. Reproductive traits following a parent-child separation trauma during childhood: a natural experiment during World War II. Am J Hum Biol. (2008) 20:345–51. doi: 10.1002/ajhb.20735

PubMed Abstract | CrossRef Full Text | Google Scholar

283. Nettle D, Coall D, Dickins T. Early-life conditions and age at first pregnancy in British women. Proc R Soc B. (2011) 278:1721–7. doi: 10.1098/rspb.2010.1726

PubMed Abstract | CrossRef Full Text | Google Scholar

284. Csathó Á, Birkás B. Early-life stressors, personality development, and fast life strategies: an evolutionary perspective on malevolent personality features. Front Psychol. (2018) 9:305. doi: 10.3389/fpsyg.2018.00305

PubMed Abstract | CrossRef Full Text | Google Scholar

285. Simpson J, Jaeger M. Evolutionary perspectives on the role of early attachment across the lifespan. In: Hart S, Bjorklund D editors. Evolutionary Perspectives on Infancy. Cham: Springer (2022). p. 237–55. doi: 10.1007/978-3-030-76000-7_11

CrossRef Full Text | Google Scholar

286. Boyce W, Ellis B. Biological sensitivity to context: I. An evolutionary-developmental theory of the origins and functions of stress reactivity. Dev Psychopathol. (2005) 17:271–301. doi: 10.1017/S0954579405050145

PubMed Abstract | CrossRef Full Text | Google Scholar

287. Del Giudice M, Ellis B, Shirtcliff E. The adaptive calibration model of stress responsivity. Neurosci Biobehav Rev. (2011) 35:1562–92. doi: 10.1016/j.neubiorev.2010.11.007

PubMed Abstract | CrossRef Full Text | Google Scholar

288. Volk AA, Atkinson JA. Infant and child death in the human environment of evolutionary adaptation. Evol Hum Behav. (2013) 34:182–92. doi: 10.1016/j.evolhumbehav.2012.11.007

CrossRef Full Text | Google Scholar

289. Hertler S, Cabeza de Baca T, Peñaherrera-Aguirre M, Fernandes H, Figueredo A. Life history evolution forms the foundation of the adverse childhood experience pyramid. Evol Psychol Sci. (2022) 8:89–104. doi: 10.1007/s40806-021-00299-5

CrossRef Full Text | Google Scholar

290. Flynn E, Laland K, Kendal R, Kendal J. Developmental niche construction. Dev Sci. (2013) 16:296–313. doi: 10.1111/desc.12030

PubMed Abstract | CrossRef Full Text | Google Scholar

291. Durkee P, Lukaszewski A, Von Rueden C, Gurven M, Buss D, Tucker-Drob E. Niche diversity predicts personality structure across 115 nations. Psychol Sci. (2022) 33:285–98. doi: 10.1177/09567976211031571

PubMed Abstract | CrossRef Full Text | Google Scholar

292. Nettle D, Colléony A, Cockerill M. Variation in cooperative behaviour within a single city. PLoS One. (2011) 6:e26922. doi: 10.1371/journal.pone.0026922

PubMed Abstract | CrossRef Full Text | Google Scholar

293. Götz F, Stieger S, Gosling S, Potter J, Rentfrow P. Physical topography is associated with human personality. Nat Hum Behav. (2020) 4:1135–44. doi: 10.1038/s41562-020-0930-x

PubMed Abstract | CrossRef Full Text | Google Scholar

294. Van de Vliert E, Van Lange P. Latitudinal psychology: an ecological perspective on creativity, aggression, happiness, and beyond. Perspect Psychol Sci. (2019) 14:860–84. doi: 10.1177/1745691619858067

PubMed Abstract | CrossRef Full Text | Google Scholar

295. Roberts B, Yoon H. Personality psychology. Annu Rev Psychol. (2022) 73:489–516. doi: 10.1146/annurev-psych-020821-114927

PubMed Abstract | CrossRef Full Text | Google Scholar

296. Ormel J, Riese H, Rosmalen J. Interpreting neuroticism scores across the adult life course: immutable or experience-dependent set points of negative affect? Clin Psychol Rev. (2012) 32:71–9. doi: 10.1016/j.cpr.2011.10.004

PubMed Abstract | CrossRef Full Text | Google Scholar

297. Henrich J. Culture and social behavior. Curr Opin Behav Sci. (2015) 3:84–9. doi: 10.1016/j.cobeha.2015.02.001

CrossRef Full Text | Google Scholar

298. Hopwood C, Donnellan M, Blonigen D, Krueger R, McGue M, Iacono W, et al. Genetic and environmental influences on personality trait stability and growth during the transition to adulthood: a three-wave longitudinal study. J Pers Soc Psychol. (2011) 100:545–56. doi: 10.1037/a0022409

PubMed Abstract | CrossRef Full Text | Google Scholar

299. Smaldino P, Lukaszewski A, von Rueden C, Gurven M. Niche diversity can explain cross-cultural differences in personality structure. Nat Hum Behav. (2019) 3:1276–83. doi: 10.1038/s41562-019-0730-3

PubMed Abstract | CrossRef Full Text | Google Scholar

300. Bergmüller R, Taborsky M. Animal personality due to social niche specialisation. Trends Ecol Evol. (2010) 25:504–11. doi: 10.1016/j.tree.2010.06.012

PubMed Abstract | CrossRef Full Text | Google Scholar

301. Denissen J, Luhmann M, Chung J, Bleidorn W. Transactions between life events and personality traits across the adult lifespan. J Pers Soc Psychol. (2019) 116:612–33. doi: 10.1037/pspp0000196

PubMed Abstract | CrossRef Full Text | Google Scholar

302. Buss D. Selection, evocation, and manipulation. J Pers Soc Psychol. (1987) 53:1214–21. doi: 10.1037/0022-3514.53.6.1214

PubMed Abstract | CrossRef Full Text | Google Scholar

303. Trappes R, Nematipour B, Kaiser M, Krohs U, Van Benthem K, Ernst U, et al. How individualized niches arise: defining mechanisms of niche construction, niche choice, and niche conformance. BioScience. (2022) 72:538–48. doi: 10.1093/biosci/biac023

PubMed Abstract | CrossRef Full Text | Google Scholar

304. Kandler C, Bleidorn W, Riemann R, Angleitner A, Spinath F. Life events as environmental states and genetic traits and the role of personality: a longitudinal twin study. Behav Genet. (2012) 42:57–72. doi: 10.1007/s10519-011-9491-0

PubMed Abstract | CrossRef Full Text | Google Scholar

305. Kendal J, Tehrani J, Odling-Smee J. Human niche construction in interdisciplinary focus. Philos Trans R Soc Lond B Biol Sci. (2011) 366:785–92. doi: 10.1098/rstb.2010.0306

PubMed Abstract | CrossRef Full Text | Google Scholar

306. Riley E, Peterson S, Smith G. Towards a developmentally integrative model of personality change: a focus on three potential mechanisms. Adv Psychol Res. (2017) 124:63–84.

PubMed Abstract | Google Scholar

307. Frankenhuis W, Nettle D. Integration of plasticity research across disciplines. Curr Opin Behav Sci. (2020) 36:157–62. doi: 10.1016/j.cobeha.2020.10.012

CrossRef Full Text | Google Scholar

308. Wagner J, Orth U, Bleidorn W, Hopwood C, Kandler C. Toward an integrative model of sources of personality stability and change. Curr Dir Psychol Sci. (2020) 29:438–44. doi: 10.1177/0963721420924751

CrossRef Full Text | Google Scholar

309. Favati A, Leimar O, Radesäter T, Løvlie H. Social status and personality: stability in social state can promote consistency of behavioural responses. Proc Bio Sci. (2014) 281:20132531. doi: 10.1098/rspb.2013.2531

PubMed Abstract | CrossRef Full Text | Google Scholar

310. Sturm R, Antonakis J. Interpersonal power: a review, critique, and research agenda. J Manage. (2015) 41:136–63. doi: 10.1177/0149206314555769

CrossRef Full Text | Google Scholar

311. Borghuis J, Bleidorn W, Sijtsma K, Branje S, Meeus W, Denissen J. Longitudinal associations between trait neuroticism and negative daily experiences in adolescence. J Pers Soc Psychol. (2019) 118:348–63. doi: 10.1037/pspp0000233

PubMed Abstract | CrossRef Full Text | Google Scholar

312. Distel M, Middeldorp C, Trull T, Derom C, Willemsen G, Boomsma D. Life events and borderline personality features: the influence of gene-environment interaction and gene-environment correlation. Psychol Med. (2011) 41:849–60. doi: 10.1017/S0033291710001297

PubMed Abstract | CrossRef Full Text | Google Scholar

313. McGowan A, King H, Frankenburg F, Fitzmaurice G, Zanarini M. The course of adult experiences of abuse in patients with borderline personality disorder and axis II comparison subjects: a 10-year follow-up study. J Pers Dis. (2012) 26:192–202. doi: 10.1521/pedi.2012.26.2.192

PubMed Abstract | CrossRef Full Text | Google Scholar

314. Carpenter R, Tomko R, Trull T, Boomsma D. Gene-environment studies and borderline personality disorder: a review. Curr Psychiatry Rep. (2013) 15:1–7. doi: 10.1007/s11920-012-0336-1

PubMed Abstract | CrossRef Full Text | Google Scholar

315. Keltikangas-Jarvinen L, Jokela M. Nature and nurture in personality. Focus. (2010) 8:180–6. doi: 10.1176/foc.8.2.foc180

CrossRef Full Text | Google Scholar

316. Bulbena-Cabre A, Bassir Nia A, Perez-Rodriguez M. Current knowledge on gene-environment interactions in personality disorders: an update. Curr Psychiatry Rep. (2018) 20:74. doi: 10.1007/s11920-018-0934-7

PubMed Abstract | CrossRef Full Text | Google Scholar

317. Wilson N, Robb E, Gajwani R, Minnis H. Nature and nurture? A review of the literature on childhood maltreatment and genetic factors in the pathogenesis of borderline personality disorder. J Psychiatr Res. (2021) 137:131–46. doi: 10.1016/j.jpsychires.2020.12.025

PubMed Abstract | CrossRef Full Text | Google Scholar

318. Luttbeg B, Sih A. Risk, resources and state-dependent adaptive behavioural syndromes. Philos Trans R Soc Lond B Biol Sci. (2010) 365:3977–90. doi: 10.1098/rstb.2010.0207

PubMed Abstract | CrossRef Full Text | Google Scholar

319. Lukaszewski A, Roney J. The origins of extraversion: joint effects of facultative calibration and genetic polymorphism. Pers Soc Psychol Bull. (2011) 37:409–21. doi: 10.1177/0146167210397209

PubMed Abstract | CrossRef Full Text | Google Scholar

320. Lewis D. Evolved individual differences: advancing a condition-dependent model of personality. Pers Individ Diff. (2015) 84:63–72. doi: 10.1016/j.paid.2014.10.013

CrossRef Full Text | Google Scholar

321. Cotton S, Small J, Pomiankowski A. Sexual selection and condition-dependent mate preferences. Curr Biol. (2006) 16:755–65. doi: 10.1016/j.cub.2006.08.022

PubMed Abstract | CrossRef Full Text | Google Scholar

322. Burley N, Parker P, Lundy K. Sexual selection and extrapair fertilization in a socially monogamous passerine, the zebra finch (Taeniopygia guttata). Behav Ecol. (1996) 7:218–26. doi: 10.1093/beheco/7.2.218

CrossRef Full Text | Google Scholar

323. Rodriguez N, Lukaszewski A. Functional coordination of personality strategies with physical strength and attractiveness: a multi-sample investigation at the HEXACO facet-level. J Res Pers. (2020) 89:104040. doi: 10.1016/j.jrp.2020.104040

CrossRef Full Text | Google Scholar

324. Lukaszewski A, Larson C, Gildersleeve K, Roney J, Haselton M. Condition-dependent calibration of men’s uncommitted mating orientation: evidence from multiple samples. Evol Hum Behav. (2014) 35:319–26. doi: 10.1016/j.evolhumbehav.2014.03.002

CrossRef Full Text | Google Scholar

325. Archer J, Thanzami V. The relation between mate value, entitlement, physical aggression, size and strength among a sample of young Indian men. Evol Hum Behav. (2009) 30:315–21. doi: 10.1016/j.evolhumbehav.2009.03.003

CrossRef Full Text | Google Scholar

326. Sell A, Hone L, Pound N. The importance of physical strength to human males. Hum Nat. (2012) 23:30–44. doi: 10.1007/s12110-012-9131-2

PubMed Abstract | CrossRef Full Text | Google Scholar

327. Stulp G, Buunk A, Verhulst S, Pollet T. Human height is positively related to interpersonal dominance in dyadic interactions. PLoS One. (2015) 10:e0117860. doi: 10.1371/journal.pone.0117860

PubMed Abstract | CrossRef Full Text | Google Scholar

328. Petersen M, Dawes C. Assessing causal pathways between physical formidability and aggression in human males. Pers Individ Diff. (2017) 113:161–6. doi: 10.1016/j.paid.2017.03.022

CrossRef Full Text | Google Scholar

329. Manson, J, Chua K, Rodriguez N, Barlev M, Durkee P, Lukaszewski A. Sex differences in fearful personality traits are mediated by physical strength. Soc Psychol Personal Sci. (2023). doi: 10.1177/19485506221094086 [Epub ahead of print].

CrossRef Full Text | Google Scholar

330. Isen J, McGue M, Iacono W. Aggressive-antisocial boys develop into physically strong young men. Psychol Sci. (2015) 26:444–55. doi: 10.1177/0956797614567718

PubMed Abstract | CrossRef Full Text | Google Scholar

331. Ishikawa S, Raine A, Lencz T, Bihrle S, LaCasse L. Increased height and bulk in antisocial personality disorder and its subtypes. Psychiatry Res. (2001) 105:211–9. doi: 10.1016/S0165-1781(01)00344-4

CrossRef Full Text | Google Scholar

332. Carter G, Campbell A, Muncer S. The dark triad personality: attractiveness to women. Pers Individ Diff. (2014) 56:57–61. doi: 10.1016/j.paid.2013.08.021

CrossRef Full Text | Google Scholar

333. Jauk E, Neubauer A, Mairunteregger T, Pemp S, Sieber K, Rauthmann J. How alluring are dark personalities? The dark triad and attractiveness in speed dating. Eur J Pers. (2016) 30:125–38. doi: 10.1002/per.2040

CrossRef Full Text | Google Scholar

334. Levin S, Grafen A. Inclusive fitness is an indispensable approximation for understanding organismal design. Evolution. (2019) 73:1066–76. doi: 10.1111/evo.13739

PubMed Abstract | CrossRef Full Text | Google Scholar

335. Dawkins R. The Selfish Gene. Oxford: Oxford University Press (1976). 224, p.

Google Scholar

336. Nettle D, Clegg H. Schizotypy, creativity and mating success in humans. Proc R Soc B. (2006) 273:611–5. doi: 10.1098/rspb.2005.3349

PubMed Abstract | CrossRef Full Text | Google Scholar

337. Del Giudice M, Klimczuk A, Traficonte D, Maestripieri D. Autistic-like and schizotypal traits in a life history perspective: diametrical associations with impulsivity, sensation seeking, and sociosexual behavior. Evol Hum Behav. (2014) 35:415–24. doi: 10.1016/j.evolhumbehav.2014.05.007

CrossRef Full Text | Google Scholar

338. Keller M, Visscher P. Genetic variation links creativity to psychiatric disorders. Nat Neurosci. (2015) 18:928–9. doi: 10.1038/nn.4047

PubMed Abstract | CrossRef Full Text | Google Scholar

339. Power R, Steinberg S, Bjornsdottir G, Rietveld C, Abdellaoui A, Nivard M, et al. Polygenic risk scores for schizophrenia and bipolar disorder predict creativity. Nat Neurosci. (2015) 18:953–5. doi: 10.1038/nn.4040

PubMed Abstract | CrossRef Full Text | Google Scholar

340. Jiang Y, Bolnick D, Kirkpatrick M. Assortative mating in animals. Am Nat. (2013) 181:E125–38. doi: 10.1086/670160

PubMed Abstract | CrossRef Full Text | Google Scholar

341. Rammstedt B, Spinath F, Richter D, Schupp J. Partnership longevity and personality congruence in couples. Pers Individ Diff. (2013) 54:832–5. doi: 10.1016/j.paid.2012.12.007

CrossRef Full Text | Google Scholar

342. Kardum I, Hudek-Knezevic J, Mehic N. Assortative mating. In: T Shackelford, V Weekes-Shackelford editors. Encyclopedia of Evolutionary Psychological Science. Cham: Springer (2021). p. 416–23. doi: 10.1007/978-3-319-19650-3_3853

PubMed Abstract | CrossRef Full Text | Google Scholar

343. Krueger R, Moffitt T, Caspi A, Bleske A, Silva P. Assortative mating for antisocial behavior: developmental and methodological implications. Behav Genet. (1998) 28:173–86. doi: 10.1023/A:1021419013124

CrossRef Full Text | Google Scholar

344. Blanchard A, Lyons M, Centifanti L. An effective way to deal with predators is to taste terrible: primary and secondary psychopathy and mate preference. Pers Individ Diff. (2016) 92:128–34. doi: 10.1016/j.paid.2015.12.024

CrossRef Full Text | Google Scholar

345. Kardum I, Hudek-Knezevic J, Schmitt D, Covic M. Assortative mating for dark triad: evidence of positive, initial, and active assortment. Pers Relat. (2017) 24:75–83. doi: 10.1111/pere.12168

CrossRef Full Text | Google Scholar

346. Burtaverde V. Women high on the dark triad traits are more attracted to narcissistic males if they are oriented to long term mating and had fewer experiences with unfaithful men. Pers Individ Diff. (2021) 173:110627. doi: 10.1016/j.paid.2021.110627

CrossRef Full Text | Google Scholar

347. Wilson D, Van Vugt M, O’Gorman R. Multilevel selection theory and major evolutionary transitions: implications for psychological science. Curr Dir Psychol Sci. (2008) 17:6–9. doi: 10.1111/j.1467-8721.2008.00538.x

CrossRef Full Text | Google Scholar

348. Sober E, Wilson D. Unto Others: The Evolution and Psychology of Unselfish Behavior. Cambridge, MA: Harvard University Press (1998). p. 394.

Google Scholar

349. Ein-Dor T, Hirschberger G. Rethinking attachment theory: from a theory of relationships to a theory of individual and group survival. Curr Dir Psychol Sci. (2016) 25:223–7. doi: 10.1177/0963721416650684

CrossRef Full Text | Google Scholar

350. Nesse R. Social selection and the origins of culture. In: Schaller M, Heine S, Norenzayan A, Yamagishi T, Kameda T editors. Evolution, Culture, and the Human Mind. Philadelphia, PA: Lawrence Erlbaum Associates (2009). p. 137–50. doi: 10.4324/9780203848746

PubMed Abstract | CrossRef Full Text | Google Scholar

351. Nesse R. Social selection is a powerful explanation for prosociality. Behav Brain Sci. (2016) 39:e47. doi: 10.1017/S0140525X15000308

PubMed Abstract | CrossRef Full Text | Google Scholar

352. Lyon B, Montgomerie R. Sexual selection is a form of social selection. Philos Trans R Soc Lond B Biol Sci. (2012) 367:2266–73. doi: 10.1098/rstb.2012.0012

PubMed Abstract | CrossRef Full Text | Google Scholar

353. Roughgarden J. The social selection alternative to sexual selection. Philos Trans R Soc Lond B Biol Sci. (2012) 367:2294–303. doi: 10.1098/rstb.2011.0282

PubMed Abstract | CrossRef Full Text | Google Scholar

354. Leach H. Human domestication reconsidered. Curr Anthropol. (2003) 44:349–68. doi: 10.1086/368119

CrossRef Full Text | Google Scholar

355. Miller G. Mental traits as fitness indicators. Expanding evolutionary psychology’s adaptationism. Ann N Y Acad Sci. (2000) 907:62–74. doi: 10.1111/j.1749-6632.2000.tb06616.x

PubMed Abstract | CrossRef Full Text | Google Scholar

356. Miller G. Sexual selection for moral virtues. Q Rev Biol. (2007) 82:97–125. doi: 10.1086/517857

PubMed Abstract | CrossRef Full Text | Google Scholar

357. Buss D. The evolutionary genetics of personality: does mutation load signal relationship load? Behav Brain Sci. (2006) 29:409. doi: 10.1017/S0140525X06269097

CrossRef Full Text | Google Scholar

358. Stone E, Shackelford T, Buss D. Is variability in mate choice similar for intelligence and personality traits? Testing a hypothesis about the evolutionary genetics of personality. Intelligence. (2012) 40:33–7. doi: 10.1016/j.intell.2011.10.003

CrossRef Full Text | Google Scholar

359. Buss D, Schmitt D. Mate preferences and their behavioral manifestations. Annu Rev Psychol. (2019) 70:77–110. doi: 10.1146/annurev-psych-010418-103408

PubMed Abstract | CrossRef Full Text | Google Scholar

360. Snyder J, Fessler D, Tiokhin L, Frederick D, Lee S, Navarrete C. Trade-offs in a dangerous world: women’s fear of crime predicts preferences for aggressive and formidable mates. Evol Hum Behav. (2011) 32:127–37. doi: 10.1016/j.evolhumbehav.2010.08.007

CrossRef Full Text | Google Scholar

361. Gildersleeve K, Haselton M, Fales M. Do women’s mate preferences change across the ovulatory cycle? A meta-analytic review. Psychol Bull. (2014) 140:1205–59. doi: 10.1037/a0035438

PubMed Abstract | CrossRef Full Text | Google Scholar

362. Lande R, Arnold S. The measurement of selection on correlated characters. Evolution. (1983) 6:1210–26. doi: 10.2307/2408842

CrossRef Full Text | Google Scholar

363. Brockhurst M, Chapman T, King K, Mank J, Paterson S, Hurst G. Running with the Red Queen: the role of biotic conflicts in evolution. Proc R Soc B. (2014) 281:20141382. doi: 10.1098/rspb.2014.1382

PubMed Abstract | CrossRef Full Text | Google Scholar

364. Henshaw J, Jones A. Fisher’s lost model of runaway sexual selection. Evolution. (2020) 74:487–94. doi: 10.1111/evo.13910

PubMed Abstract | CrossRef Full Text | Google Scholar

365. Del Giudice M. Invisible designers: brain evolution through the lens of parasite manipulation. Q Rev Biol. (2019) 94:249–82. doi: 10.1086/705038

CrossRef Full Text | Google Scholar

366. Paris J. Overdiagnosis in Psychiatry: How Modern Psychiatry Lost Its Way While Creating a Diagnosis for Almost All of Life’s Misfortunes. New York, NY: Oxford University Press (2015). p. 208. doi: 10.1093/med/9780199350643.001.0001

CrossRef Full Text | Google Scholar

367. Münch R, Walter H, Müller S. Should behavior harmful to others be a sufficient criterion of mental disorders? Front. Psychiatry. (2020) 11:558655. doi: 10.3389/fpsyt.2020.558655

PubMed Abstract | CrossRef Full Text | Google Scholar

368. Beck A, Freeman A.. Cognitive Therapy of Personality Disorders. New York, NY: Guilford Publications (1990). p. 506. doi: 10.1016/0272-7358(92)90129-v

CrossRef Full Text | Google Scholar

369. Troisi A. The evolutionary diagnosis of mental disorder. Wiley Interdiscip Rev Cogn Sci. (2015) 6:323–31. doi: 10.1002/wcs.1339

PubMed Abstract | CrossRef Full Text | Google Scholar

370. Durisko Z, Mulsant B, McKenzie K, Andrews P. Using evolutionary theory to guide mental health research. Can J Psychiatry. (2016) 61:159–65. doi: 10.1177/0706743716632517

PubMed Abstract | CrossRef Full Text | Google Scholar

371. Abed R, Ayton A, St John-Smith P, Swanepoel A, Tracy D. Evolutionary biology: an essential basic science for the training of the next generation of psychiatrists. Br J Psychiatry. (2019) 215:699–701. doi: 10.1192/bjp.2019.123

PubMed Abstract | CrossRef Full Text | Google Scholar

372. Nesse R, Dawkins R. Evolution: medicine’s most basic science. 5th ed. In: Warrell D, Cox T, Firth J, Benz E editors. Oxford Textbook of Medicine. Oxford: Oxford University Press (2010). p. 12–5. doi: 10.1093/med/9780199204854.001.1

CrossRef Full Text | Google Scholar

373. Dawkins R. The Greatest Show on Earth: Evidence for Evolution. London: Transworld (2009). p. 480.

Google Scholar

Keywords: personality, personality disorders, evolutionary psychology, evolutionary psychiatry, natural selection

Citation: Gutiérrez F and Valdesoiro F (2023) The evolution of personality disorders: A review of proposals. Front. Psychiatry 14:1110420. doi: 10.3389/fpsyt.2023.1110420

Received: 28 November 2022; Accepted: 12 January 2023;
Published: 30 January 2023.

Edited by:

Massimiliano Beghi, Azienda Unità Sanitaria Locale (AUSL) della Romagna, Italy

Reviewed by:

Ilaria Casolaro, ASST Ovest Milanese, Italy
Pierre O. Jacquet, Institut du Psychotraumatisme de l’Enfant et de l’Adolescent, France

Copyright © 2023 Gutiérrez and Valdesoiro. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Fernando Gutiérrez, www.frontiersin.org Zmd1dGlAY2xpbmljLmNhdA==

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.