Qin Dai
Graeme D. Smith- 1Department of Medical Psychology, Army Medical University, Chongqing, China
- 2School of Health Sciences, Caritas Institute of Higher Education, Hong Kong, Hong Kong SAR, China
From the vulnerability perspective, we often ask the question “why someone suffers from depression?” Despite outstanding achievements along this line, we still face high occurrence or recurrence and unsatisfied therapeutic efficacy of depression, suggesting that solely focusing on vulnerability perspective is insufficient to prevent and cure depression. Importantly, although experiencing same adversity, most people do not suffer from depression but manifest certain resilience, which could be used to prevent and cure depression, however, the systematic review is still lack. Here, we propose the concept “resilience to depression” to emphasize resilient diathesis against depression, by asking the question “why someone is exempted from depression?” Research evidence of resilience to depression has been reviewed systematically: positive cognitive style (clear purpose in life, hopefulness, et al.), positive emotion (emotional stability, et al.), adaptive behavior (extraversion, internal self-control, et al.), strong social interaction (gratitude and love, et al.), and neural foundation (dopamine circuit, et al.). Inspired by these evidence, “psychological vaccination” could be achieved by well-known real-world natural-stress vaccination (mild, controllable, and adaptive of stress, with help from parents or leaders) or newly developed “clinical vaccination” (positive activity intervention for current depression, preventive cognitive therapy for remitted depression, et al.), both of which aim to enhance the resilient psychological diathesis against depression, through events or training. Potential neural circuit vaccination was further discussed. This review calls for directing attention to resilient diathesis against depression, which offers a new thinking “psychological vaccination” in both prevention and therapy of depression.
1. Background
Globally, depression is a commonly occurring mental disorder (1). Developed in seminal work, the diathesis-stress model suggests that, under stressful circumstances, individuals with depressive diathesis (e.g., latent negative or depressogenic self-schemas: negative view about self) might suffer from depression more readily (vulnerability) (2, 3). For many years, human depression has been mostly examined from the perspective of vulnerability, which has confirmed the risk factors of depression at biological, psychological, and social levels (4–15). Despite best efforts to target vulnerability in the prevention and treatment of depression for decades, the occurrence (3–22.5%) (16) and recurrence of depression (60% after 5 years, 67% after 10 years, and 85% after 15 years) (17) of depression remain high, which suggest that focusing on vulnerability perspective is insufficient in itself to prevent and cure depression. Clearly, we need better resolution.
Despite experiencing similar life experiences or adversity, only some individuals will suffer from depression, whereas others remain psychological health, manifesting a kind of resilience (18). Original research about resilience focused on physical resilience, an ability of a material to withstand stress without cracking (from the Oxford English Dictionary). Recently, psychologists have used this term to represent psychological resilience to stress (19). As depression is a stress-related emotional disorder, we raised the concept of resilience to depression here, to emphasize the resilient diathesis in prevention and therapy of clinical depression, and to further discuss the possible ways to improve it such as “psychological vaccination” in both clinical and real-world settings. In fact, paying attention to “resilient diathesis” against depression aligns with the rationale of positive psychology (20), which emphasizes the positivity of people (e.g., happiness, hopefulness). Thus, to explore depression from the resilient perspective may suggest a new way of thinking toward prevention and treatment of depression.
2. Resilience to depression
Based on diathesis-stress model, although some depression cases are causally caused by stressful life-events, however, these events only raise a moderate risk for depression (21), while personal diathesis are indispensable endogenous attribute factors. Here we focus on the resilient diathesis to discuss how this part of personal diathesis may act against depression, since it has been reported being important in fighting against adversity (22).
2.1. Basic assumptions of resilience to depression
The first basic assumption of resilience to depression hypothesis is that resilience is a kind of stable personal diathesis. Resilience is often manifested in biological, psychological, and social levels (23, 24). Among which, people are easily convinced that biological and psychological factors are belonging to personal diathesis, while social factors are usually viewed as external factors which influence resilience as exogenous environmental variables. Werner’s longitudinal data (22) indicated that resilient children were usually lucky: they have a closer bond with a supportive supervisor, parent, or other mentor-like person. However, the fact is that the resilient children display temperamental characteristics that elicited positive responses from their caregivers since infant. That is to say, the reason for lucky resilient children having supportive caregiver is mainly due to their positive social orientation and good communication skills instead of luck. Thus, the most reliable claim is that positive social orientation and good communication skills result in closer social interaction manifested in resilient children, which could be interpreted as a diathesis rather than luck.
The second assumption is that resilience to depression is a dynamic process rather than a static status. In Werner’s thirty-2-years longitudinal investigation, some children were overwhelmed by strong stresses at one time and their resilience crashed. However, they were able to recover in later life and be resilient as much as those who were resilient the whole way through (22). This means that the resilient diathesis against depression is relatively stable but dynamic and could be enhanced.
The third basic assumption is that, in general, there should be more depression-resilient individuals vs. depression-vulnerable individuals. The evidence is obvious. Disasters and stressful life-events happen often. However, most people who experience negative life-events remain psychologically healthy without falling into depressive illness, since that the occurrence of depression in whole population is around 3–22.5% (16). In other words, most people would not suffer from depression, despite of the fact that they have experienced severe negative events, i.e., resilience is an ordinary magic in general population (25).
The fourth assumption is that resilience to depression is equivalent in male and female. Although quite a few studies have reported that depression is twice as common in women than in men (26, 27). However, our previous work has proposed an alternative hypothesis “Gender differences in self-reporting symptom of depression” (28), suggesting that mild-moderate depression tends to be reported more often by females, and severe depression and suicide tend to be reported more often by males. Potential mechanisms that account for this difference have been discussed from biological, psychological and social aspects. This newly proposed hypothesis is to emphasize that male depression is under-diagnosed and under-treated, rather than that males suffer from depression less often. See this perspective for details (28).
2.2. Definition of resilience to depression
Based on literature exploration, previous review affirms that psychological resilience is “the ability to adapt positively to life conditions. It is a dynamic process evolving over time that implies a type of adaptive functioning that specifically allows us to face difficulties by recovering an initial balance or bouncing back as an opportunity for growth”(29). Resilience has a complex construct that can be conceptualized as a trait being possessed with varying degrees in different individuals, a state with bidirectional relationship with environmental and developmental variables, and as an outcome of confronting with stress or adversity (30).
Thus, how to define the resilience to depression? Basically, it has been assumed that depression-resilient individuals are less likely to suffer from depression even they are confronted with certain types of stress (severe life experiences or chronic everyday stresses) (31). This group of people possess several characteristics: more positive attributional style, lower anxiety, more social activities, been accompanied more by caregivers (32, 33), et al. They manifest a resilient diathesis against depression (weak depressive diathesis). Thus, combined the literature together, the resilience to depression could be described as: under chronic daily life difficulties or stressful life events, individuals with weak depressive diathesis show a certain level of stress responses with or without functioning impairment. However, they are exempted from typical depressive symptoms, and could not be diagnosed as either kind of depressive disorders based on the Diagnostic and Statistical Manual of Mental Disorders V (DSM-V) (34).
2.3. Comparison of resilience to depression with previous theories
Although depression has been identified for many decades and resilience has been emphasized recently, however, the two topics are mainly discussed separately. The “resilience to depression” presented here is distinct from previous resilience or depression theories by combining them together.
2.3.1. Resilience to stress
Currently, most studies about resilience focus on resilience to stress (35, 36). Based on the definition of “psychological resilience” (29), Masten characterized resilient individuals by identifying those who experienced significant life-adversities but never showed significant psychological dysfunction or psychopathology (25). Recently, DiCorcia argued that resilience could be developed successfully from not only the severe life experiences but also the everyday stressors (23). Together, resilience to stress means good outcomes in psychology (adaptation or development) despite of serious threats or everyday stress (23, 25).
Poor resilience to stress (high vulnerability to stress) may result in several emotional disorders, such as anxiety or depression (37). Depression is a stress-induced (related) emotional disorder (38–40). It is almost impossible to discuss depression without referring to stress. Thus, a naturally raised question is the relationship between resilience to stress and resilience to depression. Obviously, resilience to stress and resilience to depression is highly correlated, individuals with high levels of resilience to stress are more likely to be exempted from depression (33, 41), whereas individuals with high vulnerability to stress have a higher possibility of suffering from depression under adversity (37). However, resilience to stress and resilience to depression are not equal. On the one hand, animal experiments showed that animals vulnerable to depression-like behavior (e.g., sucrose preference <65%) displayed a unique molecular profile when compared to resilient to depression-like behavior but anxious animals. This suggests that resilience to depression does not mean resilience to stress since that anxiety is a common kind of stress response and psychological impairment (vulnerability to stress) (7). On the other hand, human studies indicated that compared with persons vulnerable to stress, individuals with high resilience to stress may find it easier to recover from depression, responding well to antidepressant treatment (42, 43). This suggests that individuals with high resilience to ordinary stress may suffer from depression under severe adversity, manifests a vulnerability to depression.
In summary, resilience to stress and resilience to depression appear highly correlated, but different. Resilience to stress is a much broader term related to stress-relevant general mental health and adaptive functioning, whereas resilience to depression is a more specific term toward a kind of stress-induced emotional disorders—depressive disorder. Diathesis belonging to resilience to stress and resilience to depression may be overlapped in some parts, but been differentiated in other parts.
2.3.2. Diathesis-stress model
For decades, the diathesis-stress model has been accepted widely, placing emphasis on the diathesis which is more likely developed into depression under stress (vulnerability) (44, 45), that is, “why someone suffers from depression.”
The concept of “resilience to depression” presented here pays attention to the diathesis which less likely leads to depression (resilience), that is, “why someone is exempted from depression.” Studies indicated that depression-resilient individuals were less likely to suffer from depression (33) and with lower suicidal rates (46, 47). The results suggest that some features may protect people from depression (48). Agreement on this idea has led to more thinking toward the prevention and treatment of depression. That is, depression may be prevented effectively if psychologists could fully identify the resilient trait against depression in individuals and transplant into depression-vulnerable persons (i.e., decrease the occurrence of depression). Similarly, if clinical psychiatrists could introduce resilience traits into therapy of depression, the cognitive and behavioral model of patients might be armed with the resilient model, which speeds the recovery of clinical depression.
2.3.3. Protective factors of depression
Based on recent review, protective factors of depression have been explored mainly from sociodemographic factors, physical factors, biological factors, lifestyle factors, and psychological factors (49). As discussed in the first paragraph of 2.1, a basic assumption of resilience to depression hypothesis is that resilience is a kind of stable personal diathesis, which is often manifested in biological, psychological, and social levels. In which, most biological (e.g., neurotransmitter) and psychological (cognition, emotion, et al.) variables may be shared by both protective factors of depression and resilience to depression. While most sociodemographic variables (e.g., age, gender, and education), physical factors such as weight, and lifestyle factors (e.g., dietary patterns, smoking and alcohol consumption) may only belong to protective factors of depression, since they are unstable factors which influence the resilience to depression dynamically (50). And for social variables (e.g., stressful life-events), part of them may belong to protective factors of depression, and others belong to resilience to depression. For example, less stressful life-events are protective factors of depression (51), however, which is not a resilient trait against depression as generally believed. Another study indicated the role of absence of childhood history of sexual abuse in the prevention of depression (52), however, which is not a resilient trait of depression too, since it is not an inner diathesis but a hardly controlled outer environment. Moreover, social support includes three parts, i.e., objective support, subjective support, and utilization of the support (53). In which, subjective support (e.g., How many closer friends you have, from whom you can obtain support and help) and utilization of the support (e.g., Who are you turning to help when you are in trouble) may belong to both resilience to depression and protective factors of depression, while objective support (e.g., In the past, when you were in crisis, your obtained financial or problem-solving support included) may be only a part of protective factors of depression but not a resilient trait of depression.
In sum, protective factors of depression include inner and outer factors protecting people from depression which influence the level of resilience to depression together with the risk factors of depression dynamically, while resilience to depression focuses on inner stable personal trait against the occurrence and recurrence of depression.
3. Research evidence for resilience to depression
How to recognize the phenotype of resilience to depression? The evidence will be reviewed1 systematically from the following five perspectives (Figure 1): positive cognitive style, positive emotion, adaptive behavior, strong social interaction, and neural foundation.
Figure 1. Research evidence for resilience to depression and implication for psychological vaccination. Research evidence for resilience to depression has been reviewed systematically: positive cognitive style, positive emotion, adaptive behavior, strong social interaction, and neural foundation. Inspired by these evidence, “psychological vaccination” could be achieved by real-world natural-stress vaccination or newly developed “clinical vaccination,” both of which focus on enhancing the resilient psychological diathesis against depression, through learning or life-events. Potential neural circuit vaccination has been discussed further.
3.1. Positive cognitive style
At the cognition level, the styles in cognitive process (e.g., attention, interpretation, attribution, or memory), cognitive regulation, cognitive flexibility, and cognitive attitude (e.g., purpose of life or hopefulness) have been indicated to be involved in resilience. Specifically, there was a negative correlation between trait resilience and attentional bias to threat when the attentional control was low, while there was a positive association between trait resilience and attentional bias to threat when the attentional control was high (54), which suggested a dynamic relationship between trait resilience and negative attentional bias. Studies further found that individuals with an enhanced attributional style reported higher positive affect (55). They were more resilient to the development of depressive symptoms conferred by negative events (56) or hopelessness (57). Indeed, the strongest support of resilience was found for more positive attributional style (58). In addition, the cognitive regulation strategies of refocusing on planning and less rumination contributing to resilience in patients with depression have been reported (59). In relation to cognitive flexibility, people with poorer cognitive flexibility may not find cognitive restructuring as useful to alleviate depression as those with better cognitive flexibility (60). Moreover, positive cognitive attitude has been indicated a promoter of resilience. For example, higher levels of purpose in life predicted resilience in U.S. military veterans, which suggested that a clear purpose in life helps to fight against depression (61). Similarly, hopefulness turned out to be the strongest negative correlates of anxious/depressive symptoms (62). The results suggest that a lack of negative attentional bias, enhanced attributional style, less rumination, higher cognitive flexibility, clear purpose of life, and hopefulness are correlated with resilience to depression.
3.2. Positive emotion
At the emotional level, less negative emotion (e.g., anxiety), stronger positive emotion, and higher emotional stability have been indicated contributing to resilience. Specifically, lower levels of anxiety or perception of stress, might protect against chronic insomnia in people vulnerable to stress-related insomnia (63). Conversely, a high anxiety personality trait has been recognized as a vulnerability factor to the development of depression (10). Indeed, anxiety has been constantly present in low resilience. Animal-model evidence further confirmed that high anxiety led to vulnerability to stress-related depression-like behavior, whereas low anxiety led to resilience (32). Moreover, it was indicated that there was a strong relationship between hyperthymic temperament and psychological resilience in individuals with major depressive disorder (43). Isaacs’s representative investigation of 2157 U.S. military veterans showed that higher levels of emotional stability predicted resilience (61). These results support the role of positive emotion (64) (especially low anxiety, hyperthymic temperament) and emotional stability in resilience to depression.
3.3. Adaptive behavior
At the behavioral level, coping strategy and personality (e.g., optimism, extraversion, humor) including self-related personality trait (e.g., self-esteem, self-control) are most important (65, 66). For coping strategy, problem-solving/approach coping strategies are correlated with a decreased risk for depression (resilience), while emotion-focused/avoidant coping strategies are correlated with an increased risk for depression (67). Furthermore, self-blame were positively correlated with depression, whereas positive refocusing, positive reappraisal, acceptance, and planning were negatively correlated with depression (65). For personality trait, it was confirmed that persons with higher optimism have lower risk (resilience) for suicidal ideation and suicidal attempts in front of low to moderate negative life-events (66). Similarly, higher levels of extraversion predicted resilient status in Isaacs’s investigation of U.S. military veterans (61). In addition, humor-based strategies had adaptive consequences in remitted depression (68). Referring to self-related personality trait, latest review concluded the strongest support of resilience as higher self-esteem (58). Werner’s seminal longitudinal investigation (69) indicated the importance of an internal locus of control in resilient children: they believed that themselves instead of their citations decided their achievements. The resilient children saw themselves as the orchestrators of their own life. They tended to “meet the world on their own terms.” These findings confirm the involvement of positive coping strategy, optimism, extraversion, humor, self-esteem, and internal self-control in the resilience to depression.
3.4. Strong social interaction
At the social level, social support and pro-social tendency (e.g., gratitude, altruism, forgiveness) have been indicated promoting the resilience to depression. Social support represents perceived affection, empathy, love, concern, trust, intimacy, acceptance, encouragement, or caring from others (70), which is important to maintain personal mental health. Indeed, depression-resilient individuals showed more social activities, and were accompanied more by caregivers (33). Particularly, the older individuals without major depression had better family function and higher social support than olders with depression (71). Moreover, studies from undeveloped countries indicated the effect of enhanced social support on reducing community-based depressive symptoms (72). This effect was most significant in women (73), including those who suffered from family violence (74, 75). In addition, one international survey indicated that perceived love and interconnectedness were associated with less risk of psychopathology in China, India, and the United States (76). Indeed, based on the 76 years longitudinal Grant Study, the warmth of childhood relationship with parents has the greatest positive impact on “’life satisfaction” (77). Referring to pro-social tendency, recent review concluded that the strongest support of resilience was generated from lower socially prescribed perfectionism (58). Importantly, higher levels of dispositional gratitude (61) and altruism (76) were constantly reported correlating with higher resilience and lower risk of psychopathology. Similarly, forgiveness turned out to be the strongest negative correlates of anxious/depressive symptoms (62). Thus, social support especially perceived love and high pro-social tendency (lower socially prescribed perfectionism, gratitude, altruism, and forgiveness) have been identified as resilient factors of depression (13, 14).
3.5. Neural foundation of resilience to depression
Why someone shows resilience after adversity while others do not? Neural alteration might underlie the behavioral phenotype of resilience. Latest review indicates a correlation between personality traits and emotions, and both depend on monoamine neurotransmitters (dopamine, norepinephrine and serotonin) (78). Fundamental and clinical studies have demonstrated that decreased serotonin (5-HT) (79) and noradrenergic (NE) (80) are closely correlated with depression. Specifically, animal studies showed that central 5-HT was important in resilience toward adversity (7, 81). Additionally, variations in the serotonin transporter gene (5-HTTLPR) have also been identified as associated with resilience to depression through their effects on social cognition (82). Dorsal raphe neurons (DRN) played an important role in serotonin transmission to amygdale, hippocampus, lateral prefrontal cortex (PFC), nucleus accumbens, and hypothalamus (83), and deletion p38α MAPK in DRN induced resilience phenotype in mouse (84). Moreover, NE neurons in the locus coeruleus (LC) regulated resilience to social defeat through inhibitory control of dopamine neurons in ventral tegmental area (VTA) (80). Indeed, the mesolimbic dopamine (DA) circuit was identified in resilience recently, which was correlated with sucrose preference behavior (85), and uniquely associated with vulnerability or resilience to depression-related behavior. Specifically, it was indicated that VTA and the nucleus accumbens (NAc) area of the brain were correlated with resilience (86). About the cerebral circuit, in vivo evidence with optogenetic methods suggested the differences in projection-pathway specificity in promoting resilience, optogenetic inhibition of the VTA—medial PFC projection promoted vulnerability, whereas inhibition of the VTA–NAc projection induced resilience (85). Interestingly, the activation of midbrain, dorsal and ventral striatum, medial prefrontal, and right orbitofrontal cortices were also strongly correlating with human positive emotion—love (87). Study also found that βCaMII expression was significantly up-regulated in the lateral habenula (LHb) of animal models of depression, and down-regulated by antidepressants (88), which identify βCaMKII as a key molecular determinant of vulnerability or resilience to depression. The evidence supports the view that central serotonin (DRN), noradrenergic (LC), and mesolimbic dopamine circuit (especially VTA and NAc), as well as limbic system (LHb) are cerebral basis underling resilience to depression.
4. Psychological vaccination: Implications to prevent and cure depression
Is that possible to transform a person from vulnerable to depression into resilient against depression? Masten has said that resilience is ordinary magic and that it usually arises from the normative functions of human adaptation system (25). This provides a positive perception on improvement of the resilient diathesis in human beings: it is possible and feasible to improve resilience against depression through “psychological vaccination” in both clinical and real-world setting. “Psychological vaccination” is similar with biological vaccination, such as the influenza vaccination, during which, resilient diathesis is enhanced through learning or stressful life-event (Figure 1).
4.1. Real-world natural-stress vaccination
4.1.1. Negative events make people psychologically stronger
Friedrich Wilhelm Nietzsche once said: “That which does not kill us makes us stronger.” The involvement of environment, especially the early childhood experiences, in the development of psychological resilience, have been well established (22). According to the empirical evidence, it has been argued that childhood stress exposure did not increase the vulnerability to stress-related psychopathology (e.g., depression) as a linear function, but instead reflected as a quadratic function (89). Indeed, unsuccessful adaptations of childhood life-events especially childhood abuse and trauma might result in psychological trauma such as depression (48). However, stressful events that were effectively adopted in short-term and reiterated over the long-term increased children’s as well as adults’ capacity to cope with more intense stressors (23). Similarly, it was confirmed that individuals with more aversive childhood events reported higher compassion satisfaction and lower rates of burnout in adulthood (90). Together, the effect of early life-events on resilient diathesis is rather result-dependent: maladaptation results in function impairment or psychological trauma and blocking the development of resilience, whereas successful coping leads to mastery in the face of stress or adversities without function impairment or trauma and enhancing the resilient diathesis. During which, adequate coping style (67) or optimism personality (66) or social support (33) may act as intermediaries. That is “every cloud has a silver lining” or “something good can come from misfortune.”
4.1.2. Way for real-world natural-stress vaccination
Real-world natural-stress vaccination means that exposure in mild stress causes no depression, but makes people more resilient to more stressful situation (been stronger psychologically), i.e., the resilient diathesis to depression is enhanced naturally. This process is similar with the biological vaccination, such as the influenza vaccination, supporting the view that “one cannot become a master sailor on calm seas.” Based on the quotidian resilience model, in the real-world life, mild, controllable, and adaptive of naturally occurred events are critical in obtaining the resilient diathesis (23), since that the adversity in the real-world is unavoidable. Particularly, there are different types of stress (81), individuals may be able to cope very well with some types of stresses or difficulties, but deal much poorly with others. Thus, for different stresses, different levels of efforts are needed for different people. Moreover, children’s resilience could be enhanced via a good mentor-student relationship (91). Significantly, it was reported that infants made more efforts to reach a goal when they saw adults persist and that infants could generalize the value of persistence to new tasks (92). Thus, it is necessary to involve parents or young leaders in real-world natural-stress vaccination when life-events occurred naturally during children’s growing up (93). As a result, the resilient diathesis of young children may be enhanced more effectively.
Moreover, animal experiment confirmed that artificial given early moderate stress strengthened socioemotional and neuroendocrine resistance to subsequent stressors in monkeys (94). Animal models of stress inoculation may offer new views for preventive or therapeutic strategies of human stress-related psychiatric disorders such as depression (95). However, mainly due to the ethic issue, artificial given stress (stress inoculation) were only practiced in animals. Hopefully but carefully, after the causal relationship between stress and resilience is fully revealed in animals, the involvement of artificially given stress in stress vaccination in people could be expected. Like biological vaccination, the stress applying for “psychological vaccination” in people should be tested strictly in controlled experimental animal first and then conducted on a real-world person. It is also important to stress that any such study have to fully comply with the ethical principles.
4.2. Clinical vaccination
4.2.1. Resilience could be trained
Besides real-world natural-stress vaccination, recent studies have suggested that individuals can learn “resilience” through mentoring or coaching without stress exposure (96), which could be a much safer and easier way to foster resilient diathesis. Indeed, Werner’s seminal study reveals that children who were not resilient in their early years became more resilient when they knew more about the skill of resilience (22). This clearly suggests that resilience could be trained through practice.
4.2.2. Ways for clinical vaccination
The basic idea of “clinical vaccination” is that: the resilience traits (positive cognitive style, positive emotion, adaptive behavior, and strong social interaction) can be incorporated into resilience training programs, and subjected to depression-vulnerable persons or depressed patients, which could help to enhance resilient diathesis, and acts against the occurrence or recurrence of depression.
4.2.2.1. High risk offspring with depressed parents
In a 30-years longitudinal investigation, it was found that biological offspring with two previous generations who suffered from major depression were at higher risk for major depression (97). For the high-risk population, the intervention emphasis was put on the training of long-term cognitive-behavioral model. Specifically, intervention project for the offspring of depressed parents focused on cognitive restructuring skills toward negative thoughts, and problem-solving skills for stress (98). Recent review highlighted the importance of parent-children interaction in this population (99), which were incorporated into the project Screening and Training: Enhancing Resilience in Kids (STERK) (100). The results suggested that the cognitive restructuring skills, problem-solving skills, and parent-children interaction, are effective targets in the resilience interventions of offspring with depressed parents.
4.2.2.2. Subclinical depression
Subclinical depression is a normal emotional status been experienced by almost all people during life span, which might be developed into clinical depression if failed in adjustment (101). Earlier study suggested that exercise training generated long-lasting resilience to stress in subclinical depression (102). Based on this, researchers explored and raised “Coping with Depression” program to further improve the resilience in individuals with subclinical depressive status (103). Furthermore, positive psychological interventions (PPIs) and wellbeing–enhancing activities were also indicated effectiveness in subclinical depression (104, 105). The results highlighted the prevention strategies (exercise, “Coping with Depression” course, and PPIs) in enhancing the resilience of subclinical depression.
4.2.2.3. Major depressive disorder (MDD)
MDD is a mood disorder which has been classified in DSM-5 (106). For clinical depression, more systematic and multidimensional intervention skills were designed to alleviate symptoms and boost resilience. Horner and colleagues found that both depressed and non-depressed individuals responded positively to happy scripts, but depressed individuals cannot achieve or sustain equivalent levels of happy affect, which suggested that enhancing resilience to depression might focus on increasing the ability to engage in positive stimuli over a sustained period (107). Indeed, positive activity intervention (PAI) has been designed to improve the resilience to depression by targeting the positive affect system (108). Besides, a positive attentional training program (toward positive and away from negative stimuli) is practicing with a long-term (1 year) effect in adult outpatients with MDD (109). In total, Positive Mental Training (PosMT) represented good value in treatment of clinical depression (110).
Moreover, it was found that “third wave” cognitive therapy including dialectical behavior therapy, schema therapy, acceptance and commitment therapy, meta-cognitive therapy, and mindfulness—based cognitive therapy, might be effective ways to alleviate depressive symptoms compared with mentalization-based treatment (111, 112). Indeed, loving-kindness meditation (LKM) has a large effect on self-reported and clinician-reported reduction in depression (113). Furthermore, it was found that general sleep quality was significantly improved in patients who received cognitive behavioral therapy for insomnia (CBT-I), which suggests that CBT-I might be an useful strategy to improve sleep quality in patients with depression and comorbid insomnia (114). The results suggest the effectiveness of focusing on reducing negative emotion and building positive emotion in boosting resilience in patients with MDD (115).
4.2.2.4. Remitted depression
First occurrence of depression are more likely than recurrences to follow severe life-events (116, 117), which suggested that the increased vulnerability or decreased resilience might play an important role in the recurrence of depression. Thus, the recurrence rate of depression might be reduced effectively by enhancement in resilient diathesis (64). Indeed, it was found that the Preventive Cognitive Therapy (PCT) in remitted patients with multiple prior episodes had long-term (10 years) preventive effects on recurrence (118). Very similar, an additional relapse prevention cognitive-behavioral therapy [RP-CBT] after acute response to antidepressant had a continued effect on reducing the risk of relapse (119). Thus, to enhance resilience in patients remitted from depression, recurrent preventing and enhancing positive memories are critical.
5. Open questions and future directions: Potential neural circuit vaccination
Besides well-known natural-stress vaccination and “clinical vaccination,” can we go further with the knowledge of resilience to depression? Potential neural circuit vaccination should be under consideration.
5.1. Brain function targeted cognitive training
It was indicated that compassion training increased positive affective experiences (resilience phenotype), elicited activity in a reward network associated with positive affect and affiliation (120). The findings were replicated later (121), which suggested that reward network could be enhanced along with the improvement in emotional resilience. The results suggest a possibility of neural network vaccination through cognitive training.
5.2. Physical stimulation
Recently, fruitful advances in neuroscience lead to huge zest in exploration of invasive, precise, and effective neurobiological intervening methods to cure psychological disorder. Among which, transcranial direct current stimulation (tDCS), has been considered as effective means to buffer cognitive functions or neural plasticity, the concurrent applications of tDCS during cognitive training may potentially facilitate short- and long-term cognitive and brain plasticity (122). Moreover, multiple-day targeted repeated transcranial magnetic stimulation (rTMS) of hippocampal-cortical networks produced a long-lasting enhancement in the ability to learn novel face-word pairings, and increased functional connectivity of the targeted portion of the hippocampus with distributed regions of the posterior hippocampal-cortical network (123). Recent studies also confirmed the positive effects of rTMS on stress resilience which underscore the possible benefit of high frequent-rTMS as a transdiagnostic intervention (124). The results highlighted a possibility of neural circuit vaccination through magnetic or current stimulation in clinic, which needs more evidence and has a long way to go.
In conclusion, we propose the concept “resilience to depression” here, to better emphasize the diathesis that is less likely developing depression, that is, “why someone is exempted from depression.” The concept presented here guides the attention of psychologist and psychiatrist to the resilient diathesis against depression, which suggests a new thinking “psychological vaccination” in prevention as well as therapy of depression. If people could successfully adapt the naturally occurred mild controllable events (with the support of mentor), i.e., real-world natural-stress vaccination, the occurrence of depression might be reduced and better prevented. Alternatively, if individuals at high risk for depression or in clinical depression could make effective cognitive or behavioral modification through resilience training program, i.e., clinical vaccination, the individuals at high risk for depression will be exempted from depression in their later lives, or the patients will be cured more completely with a lower recurrent rate.
Author contributions
QD drafted the manuscript. GS revised the manuscript. Both authors contributed to the article and approved the submitted version.
Funding
This study was supported key project of Natural Science Foundation of Chongqing (cstc2020jcyj-zdxmX0009), Medical innovation Project of Army Medical University (2021XJS12), the Key Project and Innovation Project of People’s Liberation Army of China (2021HL003).
Acknowledgments
We thanked Prof. Luo M. M. of National Institute of Biological Sciences of Beijing, and Prof. Deldin P. of University of Michigan, for their revisions and suggestions for this version. We also appreciated the endeavor of Prof. Feng Z. Z. of the Army Medical University of China, for earlier draft of this manuscript.
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.
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Footnotes
- ^ To ensure that took as systematic approach to the literature review, we searched six databases (PubMed; Medline; EMBASE; Cochrane; EBSCO Psyc ARTICLES; Web of science) and three of the largest databases in China (CNKI; Sinomed; Weipu; WANFAN DATA) to find articles related to this topic. The main key words for searching were as follows: resilience/resilient AND depression (depression or depressive or major depressive disorder) AND/OR one of the five perspectives [COGNITION: cognitive style or cognitive process attentional bias or attributional style or interpretation bias or memory bias or cognitive regulation or cognitive flexibility or cognitive attitude; EMOTION: emotion or anxiety or emotional stability; BEHAVIOR: behavior or coping or personality trait; SOCIAL INTERACTION: social support or social interaction or interpersonal interaction or interconnectedness or pro-social tendency; NEURAL FOUNDATION: neural transmitter or serotonin (5-HT) or noradrenergic (NE) or dopamine (DA) or cortex or circuit or ventral tegmental area (VTA) or nucleus accumbens (NAc) or Dorsal raphe neurons (DRN) or prefrontal cortex (PFC) or locus coeruleus (LC) or lateral habenula (LHb)]. For example, one of the searching strategies was: (“resilience” AND “depression” AND “attentional bias”).
References
1. König H, König H, Konnopka A. The excess costs of depression: a systematic review and meta-analysis. Epidemiol Psychiatr Sci. (2019) 29:e30. doi: 10.1017/S2045796019000180
2. Beck A, Haigh E. Advances in cognitive theory and therapy: the generic cognitive model. Annu Rev Clin Psychol. (2014) 10:1–24. doi: 10.1146/annurev-clinpsy-032813-153734
3. Clark D, Beck A. Cognitive theory and therapy of anxiety and depression: convergence with neurobiological findings. Trends Cogn Sci. (2010) 14:418–24. doi: 10.1016/j.tics.2010.06.007
4. Joormann J, Tanovic E. Cognitive vulnerability to depression: examining cognitive control and emotion regulation. Curr Opin Psychol. (2015) 4:86–92.
5. Vergara-Lopez C, Lopez-Vergara H, Roberts J. Testing a “content meets process”; model of depression vulnerability and rumination: exploring the moderating role of set-shifting deficits. J Behav Ther Exp Psychiatry. (2016) 50:201–8. doi: 10.1016/j.jbtep.2015.08.002
6. Ciobanu L, Sachdev P, Trollor J, Reppermund S, Thalamuthu A, Mather K, et al. Differential gene expression in brain and peripheral tissues in depression across the life span: a review of replicated findings. Neurosci Biobehav Rev. (2016) 71:281–93. doi: 10.1016/j.neubiorev.2016.08.018
7. Couch Y, Anthony D, Dolgov O, Revischin A, Festoff B, Santos A, et al. Microglial activation, increased TNF and SERT expression in the prefrontal cortex define stress-altered behaviour in mice susceptible to anhedonia. Brain Behav Immun. (2013) 29:136–46. doi: 10.1016/j.bbi.2012.12.017
8. Allen J, Reznik S. Frontal EEG asymmetry as a promising marker of depression vulnerability: summary and methodological considerations. Curr Opin Psychol. (2015) 4:93–7. doi: 10.1016/j.copsyc.2014.12.017
9. Ben-Shimol E, Gass N, Vollmayr B, Sartorius A, Goelman G. Reduced connectivity and inter-hemispheric symmetry of the sensory system in a rat model of vulnerability to developing depression. Neuroscience. (2015) 310:742–50. doi: 10.1016/j.neuroscience.2015.09.057
10. Sandi C, Richter-Levin G. From high anxiety trait to depression: a neurocognitive hypothesis. Trends Neurosci. (2009) 32:312–20. doi: 10.1016/j.tins.2009.02.004
11. van Dooren F, Verhey F, Pouwer F, Schalkwijk C, Sep S, Stehouwer C, et al. Association of type D personality with increased vulnerability to depression: is there a role for inflammation or endothelial dysfunction? – The Maastricht study. J Affect Disord. (2016) 189:118–25. doi: 10.1016/j.jad.2015.09.028
12. Morley T, Moran G. The origins of cognitive vulnerability in early childhood: mechanisms linking early attachment to later depression. Clin Psychol Rev. (2011) 31:1071–82. doi: 10.1016/j.cpr.2011.06.006
13. Li J, Theng Y, Foo S. Does psychological resilience mediate the impact of social support on geriatric depression? An exploratory study among Chinese older adults in Singapore. Asian J Psychiatr. (2015) 14:22–7. doi: 10.1016/j.ajp.2015.01.011
14. Taku K. Relationships among perceived psychological growth, resilience and burnout in physicians. Pers Individ Differ. (2014) 59:120–3.
15. Jackson-Koku G. Beck depression inventory. Occup Med. (2016) 66:174–5. doi: 10.1093/occmed/kqv087
17. Hardeveld F, Spijker J, De Graaf R, Nolen W, Beekman A. Prevalence and predictors of recurrence of major depressive disorder in the adult population. Acta Psychiatr Scand. (2010) 122:184–91. doi: 10.1111/j.1600-0447.2009.01519.x
18. Boggio P, Bermpohl F, Vergara A, Muniz A, Nahas F, Leme P, et al. Go-no-go task performance improvement after anodal transcranial DC stimulation of the left dorsolateral prefrontal cortex in major depression. J Affect Disord. (2007) 101:91–8. doi: 10.1016/j.jad.2006.10.026
19. Anacker C, Scholz J, O’Donnell K, Allemang-Grand R, Diorio J, Bagot R, et al. Neuroanatomic differences associated with stress susceptibility and resilience. Biol Psychiatry. (2016) 79:840–9. doi: 10.1016/j.biopsych.2015.08.009
20. Seligman M, Csikszentmihalyi M. Positive psychology. An introduction. Am Psychol. (2000) 55:5–14. doi: 10.1037//0003-066x.55.1.5
21. Kendler K, Karkowski L, Prescott C. Causal relationship between stressful life events and the onset of major depression. Am J Psychiatry. (1999) 156:837–41. doi: 10.1176/ajp.156.6.837
22. Werner E. The children of Kauai: resiliency and recovery in adolescence and adulthood. J Adolesc Health. (1992) 13:262–8. doi: 10.1016/1054-139x90157-7
23. DiCorcia J, Tronick E. Quotidian resilience: exploring mechanisms that drive resilience from a perspective of everyday stress and coping. Neurosci Biobehav Rev. (2011) 35:1593–602. doi: 10.1016/j.neubiorev.2011.04.008
24. Laird K, Krause B, Funes C, Lavretsky H. Psychobiological factors of resilience and depression in late life. Transl Psychiatry. (2019) 9:88. doi: 10.1038/s41398-019-0424-7
25. Masten A. Ordinary magic. Resilience processes in development. Am Psychol. (2001) 56:227–38. doi: 10.1037//0003-066x.56.3.227
26. Cyranowski J, Frank E, Young E, Shear M. Adolescent onset of the gender difference in lifetime rates of major depression: a theoretical model. Arch Gen Psychiatry. (2000) 57:21–7. doi: 10.1001/archpsyc.57.1.21
27. Ford D, Erlinger T. Depression and C-reactive protein in US adults: data from the Third National Health and Nutrition Examination Survey. Arch Intern Med. (2004) 164:1010–4. doi: 10.1001/archinte.164.9.1010
28. Shi P, Yang A, Zhao Q, Chen Z, Ren X, Dai Q. A hypothesis of gender differences in self-reporting symptom of depression: implications to solve under-diagnosis and under-treatment of depression in males. Front Psychiatry. (2021) 12:589687. doi: 10.3389/fpsyt.2021.589687
29. Sisto A, Vicinanza F, Campanozzi L, Ricci G, Tartaglini D, Tambone V. Towards a transversal definition of psychological resilience: a literature review. Medicina. (2019) 55:745. doi: 10.3390/medicina55110745
30. Smith GC, Hayslip B. Resilience in adulthood and later life: what does it mean and where are we heading? Annu Rev Gerontol Geriatr. (2012) 32:3.
31. Grace A, Floresco S, Goto Y, Lodge D. Regulation of firing of dopaminergic neurons and control of goal-directed behaviors. Trends Neurosci. (2007) 30:220–7. doi: 10.1016/j.tins.2007.03.003
32. Castro J, Diessler S, Varea E, Márquez C, Larsen M, Cordero M, et al. Personality traits in rats predict vulnerability and resilience to developing stress-induced depression-like behaviors, HPA axis hyper-reactivity and brain changes in pERK1/2 activity. Psychoneuroendocrinology. (2012) 37:1209–23. doi: 10.1016/j.psyneuen.2011.12.014
33. Goldstein A, Faulkner B, Wekerle C. The relationship among internal resilience, smoking, alcohol use, and depression symptoms in emerging adults transitioning out of child welfare. Child Abuse Negl. (2013) 37:22–32. doi: 10.1016/j.chiabu.2012.08.007
34. APA. Diagnostic and Statistical Manual of Mental Disorders. 5th ed. Arlington, VA: American Psychiatric Publishing (2013).
35. Pfau M, Russo S. Peripheral and central mechanisms of stress resilience. Neurobiol Stress. (2015) 1:66–79. doi: 10.1016/j.ynstr.2014.09.004
36. Oken B, Chamine I, Wakeland W. A systems approach to stress, stressors and resilience in humans. Behav Brain Res. (2015) 282:144–54. doi: 10.1016/j.bbr.2014.12.047
37. Bogdan R, Nikolova Y, Pizzagalli D. Neurogenetics of depression: a focus on reward processing and stress sensitivity. Neurobiol Dis. (2013) 52:12–23. doi: 10.1016/j.nbd.2012.05.007
38. Andersen S, Teicher M. Stress, sensitive periods and maturational events in adolescent depression. Trends Neurosci. (2008) 31:183–91. doi: 10.1016/j.tins.2008.01.004
39. Slavich G, Irwin M. From stress to inflammation and major depressive disorder: a social signal transduction theory of depression. Psychol Bull. (2014) 140:774–815. doi: 10.1037/a0035302
40. Wilson K, Hayward C. A prospective evaluation of agoraphobia and depression symptoms following panic attacks in a community sample of adolescents. J Anxiety Disord. (2005) 19:87–103. doi: 10.1016/j.janxdis.2003.11.001
41. Elisei S, Sciarma T, Verdolini N, Anastasi S. Resilience and depressive disorders. Psychiatr Danub. (2013) 25(Suppl. 2):S263–7.
42. Min J, Lee N, Lee C, Lee C, Chae J. Low trait anxiety, high resilience, and their interaction as possible predictors for treatment response in patients with depression. J Affect Disord. (2012) 137:61–9. doi: 10.1016/j.jad.2011.12.026
43. Kesebir S, Gündoğar D, Küçüksubaşı Y, Tatlıdil Yaylacı E. The relation between affective temperament and resilience in depression: a controlled study. J Affect Disord. (2013) 148:352–6. doi: 10.1016/j.jad.2012.12.023
45. Clark DA, Steer RA, Brown GK. Scientific Foundations of Cognitive Theory and Therapy of Depression. New York, NY: John Wiley and Sons Ltd (1999).
46. Min J, Lee C, Chae J. Resilience moderates the risk of depression and anxiety symptoms on suicidal ideation in patients with depression and/or anxiety disorders. Compr Psychiatry. (2015) 56:103–11. doi: 10.1016/j.comppsych.2014.07.022
47. Pietrzak R, Russo A, Ling Q, Southwick S. Suicidal ideation in treatment-seeking Veterans of Operations Enduring Freedom and Iraqi Freedom: the role of coping strategies, resilience, and social support. J Psychiatr Res. (2011) 45:720–6. doi: 10.1016/j.jpsychires.2010.11.015
48. Wingo A, Wrenn G, Pelletier T, Gutman A, Bradley B, Ressler K. Moderating effects of resilience on depression in individuals with a history of childhood abuse or trauma exposure. J Affect Disord. (2010) 126:411–4. doi: 10.1016/j.jad.2010.04.009
49. Feng Z, Lugtenberg M, Franse C, Fang X, Hu S, Jin C, et al. Risk factors and protective factors associated with incident or increase of frailty among community-dwelling older adults: a systematic review of longitudinal studies. PLoS One. (2017) 12:e0178383. doi: 10.1371/journal.pone.0178383
50. Chami, J, Pooley J. Widowed young: the role of stressors and protective factors for resilience in coping with spousal loss. Omega. (2021). 9:302228211047088. doi: 10.1177/00302228211047088
51. Guang Y, Feng Z, Yang G, Yang Y, Wang L, Dai Q, et al. Depressive symptoms and negative life events: what psycho-social factors protect or harm left-behind children in China? BMC Psychiatry. (2017) 17:402. doi: 10.1186/s12888-017-1554-1
52. Gonzalez A, Boyle M, Kyu H, Georgiades K, Duncan L, MacMillan H. Childhood and family influences on depression, chronic physical conditions, and their comorbidity: findings from the Ontario Child Health Study. J Psychiatr Res. (2012) 46:1475–82. doi: 10.1016/j.jpsychires.2012.08.004
53. Karstoft K, Nielsen T, Nielsen A. Measuring social support among soldiers with the Experienced Post-Deployment Social Support Scale (EPSSS): a rasch-based construct validity study. Behav Med. (2021) 47:131–9. doi: 10.1080/08964289.2019.1676192
54. Schäfer J, Wittchen H, Höfler M, Heinrich A, Zimmermann P, Siegel S, et al. Is trait resilience characterized by specific patterns of attentional bias to emotional stimuli and attentional control? J Behav Ther Exp Psychiatry. (2015) 48:133–9. doi: 10.1016/j.jbtep.2015.03.010
55. Sanjuán P, Pérez A, Rueda B, Ruiz A. Interactive effects of attributional styles for positive and negative events on psychological distress. Pers Individ Differ. (2008) 45:187–90.
56. Haeffel G, Vargas I. Resilience to depressive symptoms: the buffering effects of enhancing cognitive style and positive life events. J Behav Ther Exp Psychiatry. (2011) 42:13–8. doi: 10.1016/j.jbtep.2010.09.003
57. Voelz Z, Haeffel G, Joiner T, Dineen Wagner K. Reducing hopelessness: the interation of enhancing and depressogenic attributional styles for positive and negative life events among youth psychiatric inpatients. Behav Res Ther. (2003) 41:1183–98. doi: 10.1016/s0005-796700030-5
58. Friedman A, Walsh J, Juarez B, Ku S, Chaudhury D, Wang J, et al. Enhancing depression mechanisms in midbrain dopamine neurons achieves homeostatic resilience. Science. (2014) 344:313–9. doi: 10.1126/science.1249240
59. Min J, Yu J, Lee C, Chae J. Cognitive emotion regulation strategies contributing to resilience in patients with depression and/or anxiety disorders. Compr Psychiatry. (2013) 54:1190–7. doi: 10.1016/j.comppsych.2013.05.008
60. Johnco C, Wuthrich V, Rapee R. The influence of cognitive flexibility on treatment outcome and cognitive restructuring skill acquisition during cognitive behavioural treatment for anxiety and depression in older adults: results of a pilot study. Behav Res Ther. (2014) 57:55–64. doi: 10.1016/j.brat.2014.04.005
61. Isaacs K, Mota N, Tsai J, Harpaz-Rotem I, Cook J, Kirwin P, et al. Psychological resilience in U.S. military veterans: a 2-year, nationally representative prospective cohort study. J Psychiatr Res. (2017) 84:301–9. doi: 10.1016/j.jpsychires.2016.10.017
62. Unterrainer H, Schoeggl H, Fink A, Neuper C, Kapfhammer H. Soul darkness? Dimensions of religious/spiritual well-being among mood-disordered inpatients compared to healthy controls. Psychopathology. (2012) 45:310–6. doi: 10.1159/000336050
63. Perozzo C, LeBlanc M, Chen IY, Ivers H, Morin CM. Potential protective factors in individuals vulnerable to stress-related insomnia. Sleep Med. (2011) 12:S99–100. doi: 10.1016/S1389-9457(11)70371-9
64. Waugh C, Koster E. A resilience framework for promoting stable remission from depression. Clin Psychol Rev. (2015) 41:49–60. doi: 10.1016/j.cpr.2014.05.004
65. Doron J, Thomas-Ollivier V, Vachon H, Fortes-Bourbousson M. Relationships between cognitive coping, self-esteem, anxiety and depression: a cluster-analysis approach. Pers Individ Differ. (2013) 55:515–20. doi: 10.2106/JBJS.20.01945
66. Hirsch JK, Wolford K, LaLonde SM, Brunk L, Morris AP. Dispositional optimism as a moderator of the relationship between negative life events and suicide ideation and attempts. Cogn Ther Res. (2007) 31:533–46.
67. Lam D, Schuck N, Smith N, Farmer A, Checkley S. Response style, interpersonal difficulties and social functioning in major depressive disorder. J Affect Disord. (2003) 75:279–83. doi: 10.1016/s0165-032700058-7
68. Braniecka A, Wołkowicz I, Orylska A, Antosik-Wójcińska A, Chrzczonowicz-Stȩpień A, Bolek E. Differential effects of stress-related and stress-unrelated humor in remitted depression. Sci Rep. (2022) 12:7946. doi: 10.1038/s41598-022-11515-y
69. Werner E, Smith R. An epidemiologic perspective on some antecedents and consequences of childhood mental health problems and learning disabilities: a report from the Kauai longitudinal study. J Am Acad Child Psychiatry. (1979) 18:292–306.
70. Langford C, Bowsher J, Maloney J, Lillis P. Social support: a conceptual analysis. J Adv Nurs. (1997) 25:95–100. doi: 10.1046/j.1365-2648.1997.1997025095.x
71. Wang J, Zhao X. Family functioning and social support for older patients with depression in an urban area of Shanghai, China. Arch Gerontol Geriatr. (2012) 55:574–9. doi: 10.1016/j.archger.2012.06.011
72. Mead N, Lester H, Chew-Graham C, Gask L, Bower P. Effects of befriending on depressive symptoms and distress: systematic review and meta-analysis. Br J Psychiatry. (2010) 196:96–101. doi: 10.1192/bjp.bp.109.064089
73. Small R, Taft A, Brown S. The power of social connection and support in improving health: lessons from social support interventions with childbearing women. BMC Public Health. (2011) 11(Suppl. 5):S4. doi: 10.1186/1471-2458-11-S5-S4
74. Coker A, Watkins K, Smith P, Brandt H. Social support reduces the impact of partner violence on health: application of structural equation models. Prev Med. (2003) 37:259–67. doi: 10.1016/s0091-743500122-1
75. Mburia-Mwalili A, Clements-Nolle K, Lee W, Shadley M, None WY. Intimate partner violence and depression in a population-based sample of women: can social support help? J Interpers Violence. (2010) 25:2258–78. doi: 10.1177/0886260509354879
76. McClintock C, Lau E, Miller L. Phenotypic dimensions of spirituality: implications for mental health in China, India, and the United States. Front Psychol. (2016) 7:1600. doi: 10.3389/fpsyg.2016.01600
77. Vaillant G, Mukamal K. Successful aging. Am J Psychiatry. (2001) 158:839–47. doi: 10.1176/appi.ajp.158.6.839
78. Dong J, Xiao T, Xu Q, Liang F, Gu S, Wang F, et al. Anxious personality traits: perspectives from basic emotions and neurotransmitters. Brain Sci. (2022) 12:1141. doi: 10.3390/brainsci12091141
79. Schildkraut J. The catecholamine hypothesis of affective disorders: a review of supporting evidence. Am J Psychiatry. (1965) 122:509–22. doi: 10.1176/ajp.122.5.509
80. Isingrini E, Perret L, Rainer Q, Amilhon B, Guma E, Tanti A, et al. Resilience to chronic stress is mediated by noradrenergic regulation of dopamine neurons. Nat Neurosci. (2016) 19:560–3. doi: 10.1038/nn.4245
81. Cools R, Robinson O, Sahakian B. Acute tryptophan depletion in healthy volunteers enhances punishment prediction but does not affect reward prediction. Neuropsychopharmacology. (2008) 33:2291–9. doi: 10.1038/sj.npp.1301598
82. Homberg J, Lesch K. Looking on the bright side of serotonin transporter gene variation. Biol Psychiatry. (2011) 69:513–9. doi: 10.1016/j.biopsych.2010.09.024
83. Bateman R, Sharpe M, Jagger J, Ellis C, Solé-Violán J, López-Rodríguez M, et al. 36th International Symposium on intensive care and emergency medicine : Brussels, Belgium. 15-18 March 2016. Crit Care. (2016) 20(Suppl. 2):94. doi: 10.1186/s13054-016-1208-6
84. Bruchas M, Schindler A, Shankar H, Messinger D, Miyatake M, Land B, et al. Selective p38α MAPK deletion in serotonergic neurons produces stress resilience in models of depression and addiction. Neuron. (2011) 71:498–511. doi: 10.1016/j.neuron.2011.06.011
85. Chaudhury D, Walsh J, Friedman A, Juarez B, Ku S, Koo J, et al. Rapid regulation of depression-related behaviours by control of midbrain dopamine neurons. Nature. (2013) 493:532–6. doi: 10.1038/nature11713
86. Hasler G, Drevets W, Manji H, Charney D. Discovering endophenotypes for major depression. Neuropsychopharmacology. (2004) 29:1765–81. doi: 10.1038/sj.npp.1300506
87. Lorberbaum J, Newman J, Horwitz A, Dubno J, Lydiard R, Hamner M, et al. A potential role for thalamocingulate circuitry in human maternal behavior. Biol Psychiatry. (2002) 51:431–45. doi: 10.1016/s0006-322301284-7
88. Li K, Zhou T, Liao L, Yang Z, Wong C, Henn F, et al. βCaMKII in lateral habenula mediates core symptoms of depression. Science. (2013) 341:1016–20. doi: 10.1126/science.1240729
89. Parker K, Maestripieri D. Identifying key features of early stressful experiences that produce stress vulnerability and resilience in primates. Neurosci Biobehav Rev. (2011) 35:1466–83. doi: 10.1016/j.neubiorev.2010.09.003
90. Howard ARH, Parris S, Hall JS, Call CD, Razuri EB, Purvis KB, et al. An examination of the relationships between professional quality of life, adverse childhood experiences, resilience, and work environment in a sample of human service providers. Child Youth Serv Rev. (2015) 57:141–8.
91. Brown R. Building children and young people’s resilience: lessons from psychology. Int J Disast Risk Reduct. (2015) 14:115–24.
92. Leonard J, Lee Y, Schulz L. Infants make more attempts to achieve a goal when they see adults persist. Science. (2017) 357:1290–4. doi: 10.1126/science.aan2317
93. Minulescu M. Is university capable to build resilience in students? Procedia Soc Behav Sci. (2015) 180:1628–31.
94. Parker K, Buckmaster C, Schatzberg A, Lyons D. Prospective investigation of stress inoculation in young monkeys. Arch Gen Psychiatry. (2004) 61:933–41. doi: 10.1001/archpsyc.61.9.933
95. Brockhurst J, Cheleuitte-Nieves C, Buckmaster C, Schatzberg A, Lyons D. Stress inoculation modeled in mice. Transl Psychiatry. (2015) 5:e537. doi: 10.1038/tp.2015.34
96. Rose R, Buckey J, Zbozinek T, Motivala S, Glenn D, Cartreine J, et al. A randomized controlled trial of a self-guided, multimedia, stress management and resilience training program. Behav Res Ther. (2013) 51:106–12. doi: 10.1016/j.brat.2012.11.003
97. Weissman M, Berry O, Warner V, Gameroff M, Skipper J, Talati A, et al. A 30-year study of 3 generations at high risk and low risk for depression. JAMA Psychiatry. (2016) 73:970–7. doi: 10.1001/jamapsychiatry.2016.1586
98. Weersing V, Shamseddeen W, Garber J, Hollon S, Clarke G, Beardslee W, et al. Prevention of depression in at-risk adolescents: predictors and moderators of acute effects. J Am Acad Child Adolesc Psychiatry. (2016) 55:219–26. doi: 10.1016/j.jaac.2015.12.015
99. Reuben J, Shaw D. Resilience in the offspring of depressed mothers: variation across risk, domains, and time. Clin Child Fam Psychol Rev. (2015) 18:300–27. doi: 10.1007/s10567-015-0195-5
100. Nauta M, Festen H, Reichart C, Nolen W, Stant A, Bockting C, et al. Preventing mood and anxiety disorders in youth: a multi-centre RCT in the high risk offspring of depressed and anxious patients. BMC Psychiatry. (2012) 12:31. doi: 10.1186/1471-244X-12-31
101. Szu-Ting FT, Koutstaal W, Poon L, Cleare A. Confidence judgment in depression and dysphoria: the depressive realism vs. negativity hypotheses. J Behav Ther Exp Psychiatry. (2012) 43:699–704. doi: 10.1016/j.jbtep.2011.09.014
102. Salmon P. Effects of physical exercise on anxiety, depression, and sensitivity to stress: a unifying theory. Clin Psychol Rev. (2001) 21:33–61. doi: 10.1016/s0272-735800032-x
103. Allart-van Dam E, Hosman C, Hoogduin C, Schaap C. Prevention of depression in subclinically depressed adults: follow-up effects on the ‘coping with depression’ course. J Affect Disord. (2007) 97:219–28. doi: 10.1016/j.jad.2006.06.020
104. Lambert D’raven L, Moliver N, Thompson D. Happiness intervention decreases pain and depression, boosts happiness among primary care patients. Prim Health Care Res Dev. (2015) 16:114–26. doi: 10.1017/S146342361300056X
105. Siemer M. Mood-congruent cognitions constitute mood experience. Emotion. (2005) 5:296–308. doi: 10.1037/1528-3542.5.3.296
106. Vandeleur C, Fassassi S, Castelao E, Glaus J, Strippoli M, Lasserre A, et al. Prevalence and correlates of DSM-5 major depressive and related disorders in the community. Psychiatry Res. (2017) 250:50–8. doi: 10.1016/j.psychres.2017.01.060
107. Horner M, Siegle G, Schwartz R, Price R, Haggerty A, Collier A, et al. C’mon get happy: reduced magnitude and duration of response during a positive-affect induction in depression. Depress Anxiety. (2014) 31:952–60. doi: 10.1002/da.22244
108. Taylor C, Lyubomirsky S, Stein M. Upregulating the positive affect system in anxiety and depression: outcomes of a positive activity intervention. Depress Anxiety. (2017) 34:267–80. doi: 10.1002/da.22593
109. Ferrari G, Becker E, Smit F, Rinck M, Spijker J. Investigating the (cost-) effectiveness of attention bias modification (ABM) for outpatients with major depressive disorder (MDD): a randomized controlled trial protocol. BMC Psychiatry. (2016) 16:370. doi: 10.1186/s12888-016-1085-1
110. Koeser L, Dobbin A, Ross S, McCrone P. Economic evaluation of audio based resilience training for depression in primary care. J Affect Disord. (2013) 149:307–12. doi: 10.1016/j.jad.2013.01.044
111. Jakobsen J. Systematic reviews of randomised clinical trials examining the effects of psychotherapeutic interventions versus “no intervention” for acute major depressive disorder and a randomised trial examining the effects of “third wave” cognitive therapy versus mentalization-based treatment for acute major depressive disorder. Dan Med J. (2014) 61:B4942.
112. Johnson J, Emmons H, Rivard R, Griffin K, Dusek J. Resilience training: a pilot study of a mindfulness-based program with depressed healthcare professionals. Explore. (2015) 11:433–44. doi: 10.1016/j.explore.2015.08.002
113. Hofmann S, Petrocchi N, Steinberg J, Lin M, Arimitsu K, Kind S, et al. Loving-kindness meditation to target affect in mood disorders: a proof-of-concept study. Evid Based Complement Alternat Med. (2015) 2015:269126. doi: 10.1155/2015/269126
114. Hsu H, Chou K, Lin K, Chen K, Su S, Chung M. Effects of cognitive behavioral therapy in patients with depressive disorder and comorbid insomnia: a propensity score-matched outcome study. Behav Res Ther. (2015) 73:143–50. doi: 10.1016/j.brat.2015.07.016
115. Burhouse A, Rowland M, Marie Niman H, Abraham D, Collins E, Matthews H, et al. Coaching for recovery: a quality improvement project in mental healthcare. BMJ Qual Improv Rep. (2015) 4:u206576.w2641. doi: 10.1136/bmjquality.u206576.w2641
116. Stroud C, Davila J, Moyer A. The relationship between stress and depression in first onsets versus recurrences: a meta-analytic review. J Abnorm Psychol. (2008) 117:206–13. doi: 10.1037/0021-843X.117.1.206
117. Slavich G, Monroe S, Gotlib I. Early parental loss and depression history: associations with recent life stress in major depressive disorder. J Psychiatr Res. (2011) 45:1146–52. doi: 10.1016/j.jpsychires.2011.03.004
118. Bockting C, Smid N, Koeter M, Spinhoven P, Beck A, Schene A. Enduring effects of preventive cognitive therapy in adults remitted from recurrent depression: a 10 year follow-up of a randomized controlled trial. J Affect Disord. (2015) 185:188–94. doi: 10.1016/j.jad.2015.06.048
119. Emslie G, Kennard B, Mayes T, Nakonezny P, Moore J, Jones J, et al. Continued effectiveness of relapse prevention cognitive-behavioral therapy following fluoxetine treatment in youth with major depressive disorder. J Am Acad Child Adolesc Psychiatry. (2015) 54:991–8. doi: 10.1016/j.jaac.2015.09.014
120. Klimecki O, Leiberg S, Lamm C, Singer T. Functional neural plasticity and associated changes in positive affect after compassion training. Cereb Cortex. (2013) 23:1552–61. doi: 10.1093/cercor/bhs142
121. Klimecki O, Leiberg S, Ricard M, Singer T. Differential pattern of functional brain plasticity after compassion and empathy training. Soc Cogn Affect Neurosci. (2014) 9:873–9. doi: 10.1093/scan/nst060
122. Passow S, Thurm F, Li S. Activating developmental reserve capacity via cognitive training or non-invasive brain stimulation: potentials for promoting fronto-parietal and hippocampal-striatal network functions in old age. Front Aging Neurosci. (2017) 9:33. doi: 10.3389/fnagi.2017.00033
123. Wang J, Voss J. Long-lasting enhancements of memory and hippocampal-cortical functional connectivity following multiple-day targeted noninvasive stimulation. Hippocampus. (2015) 25:877–83. doi: 10.1002/hipo.22416
Keywords: depression, resilience, psychological vaccination, real-world natural-stress vaccination, clinical vaccination
Citation: Dai Q and Smith GD (2023) Resilience to depression: Implication for psychological vaccination. Front. Psychiatry 14:1071859. doi: 10.3389/fpsyt.2023.1071859
Received: 17 October 2022; Accepted: 30 January 2023;
Published: 14 February 2023.
Edited by:
Jianhua Chen, Shanghai Jiao Tong University, ChinaReviewed by:
Eisho Yoshi Kawa, Nippon Medical School, JapanFushun Wang, Nanjing University of Chinese Medicine, China
Qingfei Chen, Shenzhen University, China
Copyright © 2023 Dai and Smith. 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: Qin Dai, 
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