Skip to main content

MINI REVIEW article

Front. Psychol., 07 December 2023
Sec. Emotion Science
This article is part of the Research Topic Insights in Emotion Science View all 11 articles

The role of emotion in eating behavior and decisions

  • Department of Psychology, University of Missouri – Kansas City, Kansas City, MO, United States

The present paper aims to provide the latest perspectives and future directions on the association between emotions and eating behavior. We discussed individual differences in the impact of negative emotions on eating, emotional eating as disinhibited eating decisions with heightened reward values of and sensitivity to palatable foods in response to negative emotions and social isolation, in addition to emotional eating as maladaptive coping strategies under negative emotion and stress, hedonic (pleasure-oriented) eating decisions mediated by the brain reward system, and self-controlled (health-oriented) eating decisions mediated by the brain control system. Perspectives on future directions were addressed, including the development of early eating phenotypes in infancy, shared neural mechanisms mediated by the ventromedial prefrontal cortex and the dorsolateral prefrontal cortex in emotion and eating decision regulation, possible roles of interoception incorporating hunger and satiety signals, gut microbiome, the insula and the orbitofrontal cortex, and emotional processing capacities in hedonic eating and weight gain.

Introduction

Emotions affect human behavior in various ways, such as motivating goal-directed behaviors, anticipating future outcomes, and supporting reward learning (Dolan, 2002). Emotions also can influence our food consumption and eating decisions regarding how much and when to eat certain foods (Meule and Vogele, 2013). Research has shown that the interplays across different types and intensity of emotions (e.g., negative vs. positive), eating styles (e.g., emotional eating—a tendency to eat in response to negative emotions; restrained eating—cognitive and behavioral restriction of food intake to control body weight; external eating—high susceptibility to food cues that results in craving for high-caloric, palatable foods), weight status, and types of foods (e.g., energy-dense, low-nutritious, unhealthier foods vs. nutritious, healthier foods) lead to different eating behaviors. Yet, emotion-eating mechanisms have not been fully identified. The mechanisms underneath emotion-related changes in eating behavior are multifaceted due to high variabilities across individuals and emotions (Macht, 2008). We focused on current findings exploring the impact of negative emotions on eating behavior and the decision-making mechanism in emotional eating, which provided perspectives on future research directions.

Emotions and their impacts on eating behavior

More often than not, negative emotions tend to decrease food consumption, while positive emotions increase it (Evers et al., 2018; Reichenberger et al., 2018). However, negative emotions can evoke external eating in high-emotional eaters than in low-emotional eaters (Blechert et al., 2014). Negative emotions can increase food consumption in restrained eaters as well due to disturbed cognitive inhibition of food intake (Evers et al., 2018). Furthermore, negative emotions do not necessarily induce increased eating among emotional eaters or individuals with overweight or obese (Evers et al., 2018; Zhou and Tse, 2020).

To explain the inconsistency and varying impacts of negative emotions on eating, recent studies have proposed the importance of individual differences including individualistic emotion-eating experiences and the impact of discrete emotions (Altheimer and Urry, 2019). They emphasized a learned association between discrete negative emotions and eating, rather than general negative emotions, which can vary across individuals (Altheimer and Urry, 2019). People who have previously formed an association between emotion and eating (food consumption or restriction) are more likely to engage in emotional or restricted eating in response to discrete negative emotions like depression and anxiety. For example, sadness increased food consumption more than joy in women high-emotional eaters, while sadness and joy did not differently influence food intake in low-emotional eaters (van Strien et al., 2013). Moreover, depression was related to weight gain regarding body mass index (BMI) change in only women emotional eaters, but not in men emotional eaters as well as external eaters and restricted eaters in either sex (van Strien et al., 2016).

Recent research has elucidated individual differences in how emotions impact hedonic eating (i.e., taste-oriented intake of high-caloric and low-nutrient food with high sugar, salt, and fat for pleasure without hunger) and homeostatic eating (i.e., food intake with a hunger for regulating energy balance) in different contexts (Lutter and Nestler, 2009; Reichenberger et al., 2018; Devonport et al., 2019). Induced anger, fear, and sadness increased consumption of sweet foods (Salerno et al., 2014). But when sensitivity to long-term risks of hedonic eating was primed, sadness restricted hedonic eating, which may be relevant to the function of sadness to become more vigilant to a loss or harm (Salerno et al., 2014).

Both adults’ depression and emotional eating were related to hedonic eating and a higher BMI (Konttinen et al., 2010). More severe depressive symptoms were linked to less consumption of fruits and vegetables and more consumption of non-sweet energy-dense foods, but not was not related to more consumption of sweet foods when emotional eating was controlled. When depression was controlled, higher emotional eating was linked to more consumption of sweet and non-sweet energy-dense foods. Results demonstrate that experiencing sadness or depressive moods does not necessarily decrease energy intake. Negative emotions are likely to increase overeating of energy-dense foods and decrease consumption of healthier options. Furthermore, the interaction between negative emotions and emotional eating matters. When emotional eating was examined using ecological momentary assessments (EMA) where people reported their emotions and eating behavior for 10 days, emotional eating and BMI influenced hedonic and homeostatic eating (Reichenberger et al., 2018). High negative emotions increased hedonic eating in high-emotional eaters but decreased it in low-emotional eaters; high negative emotions increased homeostatic eating in people with higher BMI. In addition, emotional processing capabilities may be linked to emotional eating in individuals with obesity. Similar to individuals with anxiety disorders or depression who often demonstrate difficulties in recognizing negative emotions (Demenescu et al., 2010), individuals with obesity are more likely to show difficulties in recognizing fearful and angry facial expressions (Scarpina et al., 2021) and describing and regulating emotions (Fernandes et al., 2018). Challenges in emotional processing may reflect emotional avoidance to cope with negative emotions related to body dissatisfaction or weight stigmatization in individuals with obesity (Fernandes et al., 2018), which could lead to emotional eating.

Findings suggest that emotional eating is prone to unhealthier, taste-oriented food choices under negative emotions. Negative emotions tend to focus on short-term gratification at the expense of long-term health risk considerations. Given the relationship between emotional eating and less adaptive coping strategies like emotion-oriented (i.e., coping through regulating negative emotional responses) and avoidant coping (i.e., avoiding or distracting from negative stress responses) (Spoor et al., 2007), hedonic eating could reflect less adaptive coping attempts for mitigating negative emotions in emotional eaters (Goossens et al., 2009).

Food-evoked emotions, reward values, and food decisions

Food consumption is most likely to elicit positive emotions like satisfaction and enjoyment rather than negative emotions (Desmet and Schifferstein, 2008). Conceptually, people associate sweet taste with positive emotion-laden words like happiness, love, grateful, acceptance, hug, and kiss, and bitter taste with negative emotion-laden words like sad, disgust, and rejection (Zhou and Tse, 2020). Sensory experiences can be embodied in psychological states and emotions through repeated associations between taste and emotion (e.g., associations between sweet taste and happiness) from early on in our lives (Zhou and Tse, 2020, 2022).

Individualistic food experiences from prenatal periods may impact sensory preferences. Infants are predisposed to like sweet and salty tastes and dislike sour and bitter tastes (Birch and Fisher, 1998). It has adaptive values that allow infants to find safe food sources like the sweet taste of breast milk. However, in the most modern obesogenic societies of food abundance, a preference for sweet, salty, and fatty foods is more likely to result in poorer nutritious choices and weight gain (Birch and Fisher, 1998). Developing less predisposed-taste-oriented food choices can be critical for physical and mental health. Accepting more nutritious foods (e.g., leafy vegetables and beans) and learning to regulate emotions adaptively could prevent disinhibited overconsumption of sweet, high-caloric, low-nutritious foods in response to negative emotions and stress. Nevertheless, challenges lie in that we are inclined to “eat” palatable and energy-dense foods rather than reject foods for secure energy intake (Ha et al., 2016). Anticipating and consuming palatable foods are associated with pleasure mediated by the brain reward system (Kringelbach et al., 2012; Berridge and Kringelbach, 2013; Volkow et al., 2013; Alonso-Alonso et al., 2015). Moreover, food taste preference is a major determinant of eating decisions (Raghunathan et al., 2006; Gutjar et al., 2015; Ha et al., 2019).

People make eating decisions based on subjective reward values of food attributes, specifically, food taste and health. Decision values of food taste and health attributes are encoded in the ventromedial prefrontal cortex (vmPFC) that involved in reward value computation (Hare et al., 2009; Clithero and Rangel, 2013; Bruce et al., 2016; Lim et al., 2023). Hedonic, pleasure-oriented decisions that predominantly incorporate food taste attributes lead to less nutritious, unhealthier eating and/or weight gain (Lim et al., 2018, 2023). To make more nutritious, healthier decisions, the health attributes of food need to be considered. In health-oriented, self-controlled decisions (i.e., refusing tasty but unhealthy foods or eating not-tasty but healthy foods) mediated by the brain control system (Chib et al., 2009; Hare et al., 2009; Lim et al., 2016, 2023), food health attributes are incorporated early and significant enough during decision process (Sullivan et al., 2015; Lim et al., 2018), which allows people to pursue long-term health benefits rather than immediate pleasure from palatable, but less nutritious and unhealthier foods (Ha et al., 2016, 2021; van Meer et al., 2016; Lim et al., 2018).

Emotional eating is related to impulsive, less self-controlled decisions in response to negative emotions or stress (Elfhag and Morey, 2008; Verstuyf et al., 2013; Zhu et al., 2014). Emotional eating tends to be associated with external eating (e.g., overconsumption in response to external food cues like the smell of food and food advertisements) (van Bloemendaal et al., 2015; van Strien, 2018), which supports lapses of self-control in emotional eating. Overriding immediate pleasure for long-term health goals becomes arduous for emotional eaters when emotional distress increases reward values of palatable, high-caloric foods and sensitivity to those food cues in the brain reward system including the orbitofrontal cortex (OFC) and ventral striatum (Wagner et al., 2012; van Bloemendaal et al., 2015). Under negative emotions or stress, heightened sensitivity to food cues and reward values lead to increased cravings for palatable foods and disinhibited eating in people with obesity as well (Jastreboff et al., 2013). Craving, or motivations for seeking palatable foods are encoded in the mesolimbic dopamine reward system, especially in the substantia nigra (SN) and ventral tegmental area (VTA) (Meye and Adan, 2014). Intranasal oxytocin administration reduces the consumption of palatable foods and decreases activations in the VTA in response to high-calorie food cues in men with overweight and obesity (Plessow et al., 2018). These findings suggest that associations between negative emotion and hedonic eating are linked to changes in the brain reward system, which make people more prone to craving and overconsumption of palatable foods, especially among emotional eaters and people with excessive weight.

Hedonic eating is also linked to affection and social needs. Sweet taste often forms an association with warmth and love (Chan et al., 2013; Ren et al., 2015). Sweet taste and a romantic partner activate similar neural responses in the anterior cingulate cortex that are involved in the reward system (Bartels and Zeki, 2000; Araujo et al., 2003). When people are lacking warmth and love, deprivation of positive emotions and social connection could result in compensatory reward-seeking behaviors, including craving and over-consumption of low-nutritious sweet foods (Henriksen et al., 2014; Tomova et al., 2020; Doan et al., 2022). Loneliness increased craving for sugar-sweetened beverages measured using an EMA in adolescents (Doan et al., 2022). Loneliness increased the consumption of sweet beverages, while perceived social connection decreased the consumption of sweet beverages in pregnant women (Henriksen et al., 2014). In young adults, deprivation of social connection and food evoked similar behavioral and neural responses (Tomova et al., 2020). Acute social isolation resulted in increased negative emotions and increased social craving, and fasting resulted in increased negative emotions and increased food craving and hunger (Tomova et al., 2020). The level of self-reported cravings for social connection and cravings for food after deprivation were strongly correlated. Further, both types of deprivation evoked similar responses in dopaminergic midbrain regions involved in craving and seeking palatable foods, specifically in the SN and VTA.

In sum, food evokes positive emotions. Learned associations between food and negative emotions may heighten emotional eating that is prone to disinhibited eating decisions of seeking palatable foods in response to negative emotions, social isolation, and stress. For better mental and physical health, it will be crucial to develop more adaptive emotion regulation, coping strategies, and health-oriented, self-controlled eating decisions.

Discussion

While much is yet to unfold, recent advances may shed light on new perspectives in understanding the relationship between emotion and eating behaviors.

Exploring pleasure-seeking and eating phenotypes in early life may provide important knowledge about the development of hedonic eating. Food preferences and appetite traits begin to develop from prenatal periods influenced by genetic predispositions and maternal food choices (Ventura and Worobey, 2013). Given that infants transition to adult foods during the first 2 years (Carruth et al., 2004), early food experiences could lay the foundation for food preferences (Domel et al., 1996; Gibson et al., 1998; Howard et al., 2012; Mura Paroche et al., 2017). One of the prominent obesogenic eating phenotypes is sensitivity to external food cues, which often results in overeating that potentially leads to obesity (Carnell et al., 2013). One study demonstrated that 6- to 12-month-olds with rapid weight gain showed higher responsivity (touching) to foods over nonfoods, suggesting that early heightened sensitivity to food cues could influence rapid weight gain (Buvinger et al., 2017). Moreover, 9- to 18-month-old infants with more rapid weight gain (i.e., greater weight-for-length z scores) found a favorite food was more rewarding than nonfood alternatives (a toy and DVD) compared to lean infants. Interestingly, reward values of nonfood alternatives were significantly lower among infants with more rapid weight gain than lean infants. These findings suggest that infants with rapid weight gain have developed heightened food reward-seeking along with a lack of alternative sources for pleasure-seeking, which could contribute to hedonic eating and weight gain in their later lives. It will be worth examining how early preferences to food and other objects are associated with the development of hedonic eating and risks for obesity.

A more holistic understanding of shared neural mechanisms of emotion and eating behavior may shed light on the intervention of hedonic eating. Common neural mechanisms of emotion and eating behavior regulations have been identified (Godet et al., 2022). The vmPFC mediates valuations of emotional food stimuli considering people’s current goals and contexts (Ochsner et al., 2012; Lim et al., 2023). The dorsolateral prefrontal cortex (dlPFC) mediates both emotion regulations (Ochsner and Gross, 2005; Ochsner et al., 2012) and eating regulations (Hare et al., 2009; Hutcherson et al., 2012) by incorporating long-term goals into value representation in the vmPFC (Hare et al., 2009; Hutcherson et al., 2012). Recent research has demonstrated the positive effect of the dlPFC modification using transcranial direct-current stimulation (tDCS) on emotion, such as reduced emotional reactivity to negative emotions (Clarke et al., 2020), enhanced cognitive control of emotion regulation (Feeser et al., 2014), and decreased anxiety and stress responses measured by cortisol levels (Mehrsafar et al., 2020). Similarly, some research demonstrated that the dlPFC modulation using tDCS reduced food craving, liking, and/or consumption in healthy-weight adults with higher food craving (Jauch-Chara et al., 2014; Kekic et al., 2014; Lapenta et al., 2014; Anderson et al., 2023), in adults with overweight and higher food craving (Ljubisavljevic et al., 2016), and adults with obesity and binge eating disorder (Burgess et al., 2016). However, other studies did not find significant changes in food cravings, choice, and consumption (Georgii et al., 2017; Ray et al., 2017; Beaumont et al., 2021). Individual differences in eating and psychological aspects could play a role in inconsistent findings, given results vary depending on the level of susceptibility to hedonic eating, types of eating behaviors, and psychological traits (Ray et al., 2017). For example, the dlPFC modulation via tDCS did not change food cravings and consumption in healthy-weight adults with lower hedonic eating (Beaumont et al., 2021). The dlPFC modulation reduced food liking (pleasure) but not unhealthy food choices in healthy-weight adults with higher food cravings (Anderson et al., 2023). Further research is necessary to determine the effectiveness of neural modulation in food craving and consumption.

Recently, individual differences in interoception and gut microbiome have been considered to provide an insight of the association between emotion and eating. Interoception is the ability to accurately sense internal body signals (Garfinkel et al., 2015; Khalsa et al., 2018). Poorer interoception is linked to worse emotion regulation (Füstös et al., 2012), higher emotional eating and BMI (Robinson et al., 2021), and disordered eating (Ahlich and Rancourt, 2022). Hypersensitivity to interoceptive hunger signals and less accurate detection of satiety and energy balance signals are prone to hedonic eating and obesity (Simmons and DeVille, 2017). The variation in gut microbiome consisted of 1013 to 1014 microorganisms inhabiting the gastrointestinal system (Le Chatelier et al., 2013) including reduced bacterial diversity and altered composition may contribute to delayed satiety setpoint (Yatsunenko et al., 2012), food craving (Alcock et al., 2014), dysregulated energy balance and weight gain (Le Chatelier et al., 2013; Davis, 2016; Torres-Fuentes et al., 2017), and disordered eating (Terry et al., 2022). Via the vagus nerve, some gut microbiota and gastrointestinal signals are delivered to the brain, which bidirectionally influence emotional experiences like anxiety and stress (Breit et al., 2018). The insula integrates projected interoceptive signals with emotional, cognitive, and motivational signals that result in explicit experiences of positive and negative emotions (Namkung et al., 2017). The anterior insula relays saliency signals associated with emotions (e.g., pleasure, pain) to dlPFC for initiating attentive control (Menon and Uddin, 2010) and represents past emotional experiences in similar contexts to vmPFC to evaluate outcomes for future decisions (Namkung et al., 2017). The anterior insula is a part of the primary taste and olfactory cortex (Rolls, 2016), along with the OFC involved in the modulation of taste reactions, affective representation of rewards (e.g., pleasure from palatable foods), and food-evoked emotion (Kringelbach, 2005). Research reported that higher emotional eating was linked to greater activations of the insula and the OFC (Bohon et al., 2009; van Bloemendaal et al., 2015) but see Bohon (2014). These findings may account for the multifaceted role of the insula and the OFC across interoception, emotion generation and modulation, taste perception, and responses to food cues, which suggests overlapping mechanisms under emotion and food processing (Frank et al., 2013).

Altogether, we have addressed commonalities across emotion and eating, while emphasizing the importance of variability and individual differences in understanding the association between emotion and eating behaviors. Further investigations on neural, physiological, and decision-making mechanisms of emotional eating and effective intervention and prevention of hedonic and emotional eating are warranted.

Author contributions

O-RH: Writing – original draft, Writing – review & editing. S-LL: Writing – review & editing.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by the Noble Fund Award to S-LL.

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.

The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

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

Ahlich, E., and Rancourt, D. (2022). Boredom proneness, interoception, and emotional eating. Appetite 178:106167. doi: 10.1016/j.appet.2022.106167

PubMed Abstract | CrossRef Full Text | Google Scholar

Alcock, J., Maley, C. C., and Aktipis, C. A. (2014). Is eating behavior manipulated by the gastrointestinal microbiota? Evolutionary pressures and potential mechanisms. Bioessays 36, 940–949. doi: 10.1002/bies.201400071

PubMed Abstract | CrossRef Full Text | Google Scholar

Alonso-Alonso, M., Woods, S. C., Pelchat, M., Grigson, P. S., Stice, E., Farooqi, S., et al. (2015). Food reward system: current perspectives and future research needs. Nutr. Rev. 73, 296–307. doi: 10.1093/nutrit/nuv002

PubMed Abstract | CrossRef Full Text | Google Scholar

Altheimer, G., and Urry, H. L. (2019). Do emotions cause eating? The role of previous experiences and social context in emotional eating. Curr. Dir. Psychol. Sci. 28, 234–240. doi: 10.1177/0963721419837685

CrossRef Full Text | Google Scholar

Anderson, E. C., Cantelon, J. A., Holmes, A., Giles, G. E., Brunyé, T. T., and Kanarek, R. (2023). Transcranial direct current stimulation (tDCS) to dorsolateral prefrontal cortex influences perceived pleasantness of food. Heliyon 9:e13275. doi: 10.1016/j.heliyon.2023.e13275

PubMed Abstract | CrossRef Full Text | Google Scholar

Araujo, I. E. T., Kringelbach, M. L., Rolls, E. T., and Hobden, P. (2003). Representation of umami taste in the human brain. J. Neurophysiol. 90, 313–319. doi: 10.1152/jn.00669.2002

PubMed Abstract | CrossRef Full Text | Google Scholar

Bartels, A., and Zeki, S. (2000). The neural basis of romantic love. Neuroreport 11, 3829–3834. doi: 10.1097/00001756-200011270-00046

PubMed Abstract | CrossRef Full Text | Google Scholar

Beaumont, J. D., Davis, D., Dalton, M., Nowicky, A., Russell, M., and Barwood, M. J. (2021). The effect of transcranial direct current stimulation (tDCS) on food craving, reward and appetite in a healthy population. Appetite 157:105004. doi: 10.1016/j.appet.2020.105004

PubMed Abstract | CrossRef Full Text | Google Scholar

Berridge, K. C., and Kringelbach, M. L. (2013). Neuroscience of affect: brain mechanisms of pleasure and displeasure. Curr. Opin. Neurobiol. 23, 294–303. doi: 10.1016/j.conb.2013.01.017

PubMed Abstract | CrossRef Full Text | Google Scholar

Birch, L. L., and Fisher, J. O. (1998). Development of eating behaviors among children and adolescents. Pediatrics 101, 539–549. doi: 10.1542/peds.101.S2.539

CrossRef Full Text | Google Scholar

Blechert, J., Goltsche, J. E., Herbert, B. M., and Wilhelm, F. H. (2014). Eat your troubles away: electrocortical and experiential correlates of food image processing are related to emotional eating style and emotional state. Biol. Psychol. 96, 94–101. doi: 10.1016/j.biopsycho.2013.12.007

CrossRef Full Text | Google Scholar

Bohon, C. (2014). Greater emotional eating scores associated with reduced frontolimbic activation to palatable taste in adolescents. Obesity (Silver Spring) 22, 1814–1820. doi: 10.1002/oby.20759

PubMed Abstract | CrossRef Full Text | Google Scholar

Bohon, C., Stice, E., and Spoor, S. (2009). Female emotional eaters show abnormalities in consummatory and anticipatory food reward: a functional magnetic resonance imaging study. Int. J. Eat. Disord. 42, 210–221. doi: 10.1002/eat.20615

PubMed Abstract | CrossRef Full Text | Google Scholar

Breit, S., Kupferberg, A., Rogler, G., and Hasler, G. (2018). Vagus nerve as modulator of the brain-gut Axis in psychiatric and inflammatory disorders. Front. Psych. 9:44. doi: 10.3389/fpsyt.2018.00044

PubMed Abstract | CrossRef Full Text | Google Scholar

Bruce, A. S., Pruitt, S. W., Ha, O. R., Cherry, J. B., Smith, T. R., Bruce, J. M., et al. (2016). The influence of televised food commercials on Children's food choices: evidence from ventromedial prefrontal cortex activations. J. Pediatr. 177:27–32 e21. doi: 10.1016/j.jpeds.2016.06.067

PubMed Abstract | CrossRef Full Text | Google Scholar

Burgess, E. E., Sylvester, M. D., Morse, K. E., Amthor, F. R., Mrug, S., Lokken, K. L., et al. (2016). Effects of transcranial direct current stimulation (tDCS) on binge-eating disorder. Int. J. Eat. Disord. 49, 930–936. doi: 10.1002/eat.22554

PubMed Abstract | CrossRef Full Text | Google Scholar

Buvinger, E., Rosenblum, K., Miller, A. L., Kaciroti, N. A., and Lumeng, J. C. (2017). Observed infant food cue responsivity: associations with maternal report of infant eating behavior, breastfeeding, and infant weight gain. Appetite 112, 219–226. doi: 10.1016/j.appet.2017.02.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Carnell, S., Benson, L., Pryor, K., and Driggin, E. (2013). Appetitive traits from infancy to adolescence: using behavioral and neural measures to investigate obesity risk. Physiol. Behav. 121, 79–88. doi: 10.1016/j.physbeh.2013.02.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Carruth, B. R., Ziegler, P. J., Gordon, A., and Barr, S. I. (2004). Prevalence of picky eaters among infants and toddlers and their caregivers' decisions about offering a new food. J. Am. Diet. Assoc. 104, s57–s64. doi: 10.1016/j.jada.2003.10.024

PubMed Abstract | CrossRef Full Text | Google Scholar

Chan, K. Q., Tong, E. M. W., Tan, D. H., and Koh, A. H. Q. (2013). What do love and jealousy taste like? Emotion 13, 1142–1149. doi: 10.1037/a0033758

PubMed Abstract | CrossRef Full Text | Google Scholar

Chib, V. S., Rangel, A., Shimojo, S., and O'Doherty, J. P. (2009). Evidence for a common representation of decision values for dissimilar goods in human ventromedial prefrontal cortex. J. Neurosci. 29, 12315–12320. doi: 10.1523/jneurosci.2575-09.2009

PubMed Abstract | CrossRef Full Text | Google Scholar

Clarke, P. J. F., Van Bockstaele, B., Marinovic, W., Howell, J. A., Boyes, M. E., and Notebaert, L. (2020). The effects of left DLPFC tDCS on emotion regulation, biased attention, and emotional reactivity to negative content. Cogn. Affect. Behav. Neurosci. 20, 1323–1335. doi: 10.3758/s13415-020-00840-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Clithero, J. A., and Rangel, A. (2013). Informatic parcellation of the network involved in the computation of subjective value. Soc. Cogn. Affect. Neurosci. 9, 1289–1302. doi: 10.1093/scan/nst106

PubMed Abstract | CrossRef Full Text | Google Scholar

Davis, C. D. (2016). The gut microbiome and its role in obesity. Nutr. Today 51, 167–174. doi: 10.1097/nt.0000000000000167

PubMed Abstract | CrossRef Full Text | Google Scholar

Demenescu, L. R., Kortekaas, R., den Boer, J. A., and Aleman, A. (2010). Impaired attribution of emotion to facial expressions in anxiety and major depression. PLoS One 5:e15058. doi: 10.1371/journal.pone.0015058

PubMed Abstract | CrossRef Full Text | Google Scholar

Desmet, P. M., and Schifferstein, H. N. (2008). Sources of positive and negative emotions in food experience. Appetite 50, 290–301. doi: 10.1016/j.appet.2007.08.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Devonport, T. J., Nicholls, W., and Fullerton, C. (2019). A systematic review of the association between emotions and eating behaviour in normal and overweight adult populations. J. Health Psychol. 24, 3–24. doi: 10.1177/1359105317697813

PubMed Abstract | CrossRef Full Text | Google Scholar

Doan, S. N., Xie, B., Zhou, Y., Lei, X., and Reynolds, K. D. (2022). Loneliness and cravings for sugar-sweetened beverages among adolescents. Pediatr. Obes. 17:e12834. doi: 10.1111/ijpo.12834

PubMed Abstract | CrossRef Full Text | Google Scholar

Dolan, R. J. (2002). Emotion, cognition, and behavior. Science 298, 1191–1194. doi: 10.1126/science.1076358

CrossRef Full Text | Google Scholar

Domel, S., Thompson, W., Davis, H., Baranowski, T., Leonard, S., and Baranowski, J. (1996). Psychosocial predictors of fruit and vegetable consumption among elementary school children. Health Educ. Res. 11, 299–308. doi: 10.1093/her/11.3.299

CrossRef Full Text | Google Scholar

Elfhag, K., and Morey, L. C. (2008). Personality traits and eating behavior in the obese: poor self-control in emotional and external eating but personality assets in restrained eating. Eat. Behav. 9, 285–293. doi: 10.1016/j.eatbeh.2007.10.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Evers, C., Dingemans, A., Junghans, A. F., and Boeve, A. (2018). Feeling bad or feeling good, does emotion affect your consumption of food? A meta-analysis of the experimental evidence. Neurosci. Biobehav. Rev. 92, 195–208. doi: 10.1016/j.neubiorev.2018.05.028

CrossRef Full Text | Google Scholar

Feeser, M., Prehn, K., Kazzer, P., Mungee, A., and Bajbouj, M. (2014). Transcranial direct current stimulation enhances cognitive control during emotion regulation. Brain Stimul. 7, 105–112. doi: 10.1016/j.brs.2013.08.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Fernandes, J., Ferreira-Santos, F., Miller, K., and Torres, S. (2018). Emotional processing in obesity: a systematic review and exploratory meta-analysis. Obes. Rev. 19, 111–120. doi: 10.1111/obr.12607

PubMed Abstract | CrossRef Full Text | Google Scholar

Frank, S., Kullmann, S., and Veit, R. (2013). Food related processes in the insular cortex. Front. Hum. Neurosci. 7:499. doi: 10.3389/fnhum.2013.00499

PubMed Abstract | CrossRef Full Text | Google Scholar

Füstös, J., Gramann, K., Herbert, B. M., and Pollatos, O. (2012). On the embodiment of emotion regulation: interoceptive awareness facilitates reappraisal. Soc. Cogn. Affect. Neurosci. 8, 911–917. doi: 10.1093/scan/nss089

PubMed Abstract | CrossRef Full Text | Google Scholar

Garfinkel, S. N., Seth, A. K., Barrett, A. B., Suzuki, K., and Critchley, H. D. (2015). Knowing your own heart: distinguishing interoceptive accuracy from interoceptive awareness. Biol. Psychol. 104, 65–74. doi: 10.1016/j.biopsycho.2014.11.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Georgii, C., Goldhofer, P., Meule, A., Richard, A., and Blechert, J. (2017). Food craving, food choice and consumption: the role of impulsivity and sham-controlled tDCS stimulation of the right dlPFC. Physiol. Behav. 177, 20–26. doi: 10.1016/j.physbeh.2017.04.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Gibson, R. S., Ferguson, E. L., and Lehrfeld, J. (1998). Complementary foods for infant feeding in developing countries: their nutrient adequacy and improvement. Eur. J. Clin. Nutr. 52, 764–770. doi: 10.1038/sj.ejcn.1600645

CrossRef Full Text | Google Scholar

Godet, A., Fortier, A., Bannier, E., Coquery, N., and Val-Laillet, D. (2022). Interactions between emotions and eating behaviors: Main issues, neuroimaging contributions, and innovative preventive or corrective strategies. Rev. Endocrine Metab. Disord. 23, 807–831. doi: 10.1007/s11154-021-09700-x

CrossRef Full Text | Google Scholar

Goossens, L., Braet, C., Van Vlierberghe, L., and Mels, S. (2009). Loss of control over eating in overweight youngsters: the role of anxiety, depression and emotional eating. Eur. Eat. Disord. Rev. 17, 68–78. doi: 10.1002/erv.892

PubMed Abstract | CrossRef Full Text | Google Scholar

Gutjar, S., Dalenberg, J. R., de Graaf, C., de Wijk, R. A., Palascha, A., Renken, R. J., et al. (2015). What reported food-evoked emotions may add: a model to predict consumer food choice. Food Qual. Prefer. 45, 140–148. doi: 10.1016/j.foodqual.2015.06.008

CrossRef Full Text | Google Scholar

Ha, O. R., Bruce, A. S., Killian, H. J., Davis, A. M., and Lim, S. L. (2021). Shared dynamics of food decision-making in mother-child dyads. Front. Psychol. 12:695388. doi: 10.3389/fpsyg.2021.695388

PubMed Abstract | CrossRef Full Text | Google Scholar

Ha, O. R., Bruce, A. S., Pruitt, S. W., Cherry, J. B., Smith, T. R., Burkart, D., et al. (2016). Healthy eating decisions require efficient dietary self-control in children: a mouse-tracking food decision study. Appetite 105, 575–581. doi: 10.1016/j.appet.2016.06.027

CrossRef Full Text | Google Scholar

Ha, O. R., Lim, S. L., Bruce, J. M., and Bruce, A. S. (2019). Unhealthy foods taste better among children with lower self-control. Appetite 139, 84–89. doi: 10.1016/j.appet.2019.04.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Hare, T. A., Camerer, C. F., and Rangel, A. (2009). Self-control in decision-making involves modulation of the vmPFC valuation system. Science 324, 646–648. doi: 10.1126/science.1168450

CrossRef Full Text | Google Scholar

Henriksen, R. E., Torsheim, T., and Thuen, F. (2014). Loneliness, social integration and consumption of sugar-containing beverages: testing the social baseline theory. PLoS One 9:e104421. doi: 10.1371/journal.pone.0104421

CrossRef Full Text | Google Scholar

Howard, A. J., Mallan, K. M., Byrne, R., Magarey, A., and Daniels, L. A. (2012). Toddlers' food preferences. The impact of novel food exposure, maternal preferences and food neophobia. Appetite 59, 818–825. doi: 10.1016/j.appet.2012.08.022

PubMed Abstract | CrossRef Full Text | Google Scholar

Hutcherson, C. A., Plassmann, H., Gross, J. J., and Rangel, A. (2012). Cognitive regulation during decision making shifts behavioral control between ventromedial and dorsolateral prefrontal value systems. J. Neurosci. 32, 13543–13554. doi: 10.1523/jneurosci.6387-11.2012

PubMed Abstract | CrossRef Full Text | Google Scholar

Jastreboff, A. M., Sinha, R., Lacadie, C., Small, D. M., Sherwin, R. S., and Potenza, M. N. (2013). Neural correlates of stress- and food cue–induced food craving in obesity: association with insulin levels. Diabetes Care 36, 394–402. doi: 10.2337/dc12-1112

PubMed Abstract | CrossRef Full Text | Google Scholar

Jauch-Chara, K., Kistenmacher, A., Herzog, N., Schwarz, M., Schweiger, U., and Oltmanns, K. M. (2014). Repetitive electric brain stimulation reduces food intake in humans. Am. J. Clin. Nutr. 100, 1003–1009. doi: 10.3945/ajcn.113.075481

PubMed Abstract | CrossRef Full Text | Google Scholar

Kekic, M., McClelland, J., Campbell, I., Nestler, S., Rubia, K., David, A. S., et al. (2014). The effects of prefrontal cortex transcranial direct current stimulation (tDCS) on food craving and temporal discounting in women with frequent food cravings. Appetite 78, 55–62. doi: 10.1016/j.appet.2014.03.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Khalsa, S. S., Adolphs, R., Cameron, O. G., Critchley, H. D., Davenport, P. W., Feinstein, J. S., et al. (2018). Interoception and mental health: a roadmap. Biol. Psychiatry Cogn. Neurosci. Neuroimaging 3, 501–513. doi: 10.1016/j.bpsc.2017.12.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Konttinen, H., Mannisto, S., Sarlio-Lahteenkorva, S., Silventoinen, K., and Haukkala, A. (2010). Emotional eating, depressive symptoms and self-reported food consumption. A population-based study. Appetite 54, 473–479. doi: 10.1016/j.appet.2010.01.014

CrossRef Full Text | Google Scholar

Kringelbach, M. L. (2005). The human orbitofrontal cortex: linking reward to hedonic experience. Nat. Rev. Neurosci. 6, 691–702. doi: 10.1038/nrn1747

PubMed Abstract | CrossRef Full Text | Google Scholar

Kringelbach, M. L., Stein, A., and van Hartevelt, T. J. (2012). The functional human neuroanatomy of food pleasure cycles. Physiol. Behav. 106, 307–316. doi: 10.1016/j.physbeh.2012.03.023

PubMed Abstract | CrossRef Full Text | Google Scholar

Lapenta, O. M., Sierve, K. D., de Macedo, E. C., Fregni, F., and Boggio, P. S. (2014). Transcranial direct current stimulation modulates ERP-indexed inhibitory control and reduces food consumption. Appetite 83, 42–48. doi: 10.1016/j.appet.2014.08.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Le Chatelier, E., Nielsen, T., Qin, J., Prifti, E., Hildebrand, F., Falony, G., et al. (2013). Richness of human gut microbiome correlates with metabolic markers. Nature 500, 541–546. doi: 10.1038/nature12506

CrossRef Full Text | Google Scholar

Lim, S. L., Bruce, A. S., and Shook, R. P. (2023). Neurocomputational mechanisms of food and physical activity decision-making in male adolescents. Sci. Rep. 13:6145. doi: 10.1038/s41598-023-32823-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Lim, S. L., Cherry, J. B., Davis, A. M., Balakrishnan, S. N., Ha, O. R., Bruce, J. M., et al. (2016). The child brain computes and utilizes internalized maternal choices. Nat. Commun. 7:11700. doi: 10.1038/ncomms11700

PubMed Abstract | CrossRef Full Text | Google Scholar

Lim, S. L., Penrod, M. T., Ha, O. R., Bruce, J. M., and Bruce, A. S. (2018). Calorie labeling promotes dietary self-control by shifting the temporal dynamics of health- and taste-attribute integration in overweight individuals. Psychol. Sci. 29, 447–462. doi: 10.1177/0956797617737871

PubMed Abstract | CrossRef Full Text | Google Scholar

Ljubisavljevic, M., Maxood, K., Bjekic, J., Oommen, J., and Nagelkerke, N. (2016). Long-term effects of repeated prefrontal cortex transcranial direct current stimulation (tDCS) on food craving in Normal and overweight young adults. Brain Stimul. 9, 826–833. doi: 10.1016/j.brs.2016.07.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Lutter, M., and Nestler, E. J. (2009). Homeostatic and hedonic signals interact in the regulation of food intake. J. Nutr. 139, 629–632. doi: 10.3945/jn.108.097618

PubMed Abstract | CrossRef Full Text | Google Scholar

Macht, M. (2008). How emotions affect eating: a five-way model. Appetite 50, 1–11. doi: 10.1016/j.appet.2007.07.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Mehrsafar, A. H., Rosa, M. A. S., Zadeh, A. M., and Gazerani, P. (2020). A feasibility study of application and potential effects of a single session transcranial direct current stimulation (tDCS) on competitive anxiety, mood state, salivary levels of cortisol and alpha amylase in elite athletes under a real-world competition. Physiol. Behav. 227:113173. doi: 10.1016/j.physbeh.2020.113173

PubMed Abstract | CrossRef Full Text | Google Scholar

Menon, V., and Uddin, L. Q. (2010). Saliency, switching, attention and control: a network model of insula function. Brain Struct. Funct. 214, 655–667. doi: 10.1007/s00429-010-0262-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Meule, A., and Vogele, C. (2013). The psychology of eating. Front. Psychol. 4:215. doi: 10.3389/fpsyg.2013.00215

PubMed Abstract | CrossRef Full Text | Google Scholar

Meye, F. J., and Adan, R. A. (2014). Feelings about food: the ventral tegmental area in food reward and emotional eating. Trends Pharmacol. Sci. 35, 31–40. doi: 10.1016/j.tips.2013.11.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Mura Paroche, M., Caton, S. J., Vereijken, C. M., Weenen, H., and Houston-Price, C. (2017). How infants and young children learn about food: a systematic review. Front. Psychol. 8:1046. doi: 10.3389/fpsyg.2017.01046

PubMed Abstract | CrossRef Full Text | Google Scholar

Namkung, H., Kim, S. H., and Sawa, A. (2017). The insula: an underestimated brain area in clinical neuroscience, psychiatry, and neurology. Trends Neurosci. 40, 200–207. doi: 10.1016/j.tins.2017.02.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Ochsner, K. N., and Gross, J. J. (2005). The cognitive control of emotion. Trends Cogn. Sci. 9, 242–249. doi: 10.1016/j.tics.2005.03.010

CrossRef Full Text | Google Scholar

Ochsner, K. N., Silvers, J. A., and Buhle, J. T. (2012). Functional imaging studies of emotion regulation: a synthetic review and evolving model of the cognitive control of emotion. Ann. N. Y. Acad. Sci. 1251, E1–E24. doi: 10.1111/j.1749-6632.2012.06751.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Plessow, F., Marengi, D. A., Perry, S. K., Felicione, J. M., Franklin, R., Holmes, T. M., et al. (2018). Effects of intranasal oxytocin on the blood oxygenation level-dependent signal in food motivation and cognitive control pathways in overweight and obese men. Neuropsychopharmacology 43, 638–645. doi: 10.1038/npp.2017.226

PubMed Abstract | CrossRef Full Text | Google Scholar

Raghunathan, R., Naylor, R. W., and Hoyer, W. D. (2006). The unhealthy= tasty intuition and its effects on taste inferences, enjoyment, and choice of food products. J. Mark. 70, 170–184. doi: 10.1509/jmkg.70.4.170

CrossRef Full Text | Google Scholar

Ray, M. K., Sylvester, M. D., Osborn, L., Helms, J., Turan, B., Burgess, E. E., et al. (2017). The critical role of cognitive-based trait differences in transcranial direct current stimulation (tDCS) suppression of food craving and eating in frank obesity. Appetite 116, 568–574. doi: 10.1016/j.appet.2017.05.046

PubMed Abstract | CrossRef Full Text | Google Scholar

Reichenberger, J., Kuppens, P., Liedlgruber, M., Wilhelm, F. H., Tiefengrabner, M., Ginzinger, S., et al. (2018). No haste, more taste: an EMA study of the effects of stress, negative and positive emotions on eating behavior. Biol. Psychol. 131, 54–62. doi: 10.1016/j.biopsycho.2016.09.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Ren, D., Tan, K., Arriaga, X. B., and Chan, K. Q. (2015). Sweet love:the effects of sweet taste experience on romantic perceptions. J. Soc. Pers. Relat. 32, 905–921. doi: 10.1177/0265407514554512

CrossRef Full Text | Google Scholar

Robinson, E., Marty, L., Higgs, S., and Jones, A. (2021). Interoception, eating behaviour and body weight. Physiol. Behav. 237:113434. doi: 10.1016/j.physbeh.2021.113434

PubMed Abstract | CrossRef Full Text | Google Scholar

Rolls, E. T. (2016). Functions of the anterior insula in taste, autonomic, and related functions. Brain Cogn. 110, 4–19. doi: 10.1016/j.bandc.2015.07.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Salerno, A., Laran, J., and Janiszewski, C. (2014). Hedonic eating goals and emotion: when sadness decreases the desire to indulge. J. Consum. Res. 41, 135–151. doi: 10.1086/675299

CrossRef Full Text | Google Scholar

Scarpina, F., Varallo, G., Castelnuovo, G., Capodaglio, P., Molinari, E., and Mauro, A. (2021). Implicit facial emotion recognition of fear and anger in obesity. Eat. Weight Disord. 26, 1243–1251. doi: 10.1007/s40519-020-01010-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Simmons, W. K., and DeVille, D. C. (2017). Interoceptive contributions to healthy eating and obesity. Curr. Opin. Psychol. 17, 106–112. doi: 10.1016/j.copsyc.2017.07.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Spoor, S. T., Bekker, M. H., Van Strien, T., and van Heck, G. L. (2007). Relations between negative affect, coping, and emotional eating. Appetite 48, 368–376. doi: 10.1016/j.appet.2006.10.005

CrossRef Full Text | Google Scholar

Sullivan, N., Hutcherson, C., Harris, A., and Rangel, A. (2015). Dietary self-control is related to the speed with which attributes of healthfulness and tastiness are processed [research support, N.I.H., extramural research support, non-U.S. Gov't research support, U.S. Gov't, non-P.H.S.]. Psychol. Sci. 26, 122–134. doi: 10.1177/0956797614559543

CrossRef Full Text | Google Scholar

Terry, S. M., Barnett, J. A., and Gibson, D. L. (2022). A critical analysis of eating disorders and the gut microbiome. J. Eat. Disord. 10:154. doi: 10.1186/s40337-022-00681-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Tomova, L., Wang, K. L., Thompson, T., Matthews, G. A., Takahashi, A., Tye, K. M., et al. (2020). Acute social isolation evokes midbrain craving responses similar to hunger. Nat. Neurosci. 23, 1597–1605. doi: 10.1038/s41593-020-00742-z

CrossRef Full Text | Google Scholar

Torres-Fuentes, C., Schellekens, H., Dinan, T. G., and Cryan, J. F. (2017). The microbiota–gut–brain axis in obesity. Lancet Gastroenterol. Hepatol. 2, 747–756. doi: 10.1016/S2468-1253(17)30147-4

CrossRef Full Text | Google Scholar

van Bloemendaal, L., Veltman, D. J., ten Kulve, J. S., Drent, M. L., Barkhof, F., Diamant, M., et al. (2015). Emotional eating is associated with increased brain responses to food-cues and reduced sensitivity to GLP-1 receptor activation. Obesity (Silver Spring) 23, 2075–2082. doi: 10.1002/oby.21200

PubMed Abstract | CrossRef Full Text | Google Scholar

van Meer, F., Charbonnier, L., and Smeets, P. A. M. (2016). Food decision-making: effects of weight status and age. Curr. Diab. Rep. 16:84. doi: 10.1007/s11892-016-0773-z

PubMed Abstract | CrossRef Full Text | Google Scholar

van Strien, T. (2018). Causes of emotional eating and matched treatment of obesity. Curr. Diab. Rep. 18:35. doi: 10.1007/s11892-018-1000-x

CrossRef Full Text | Google Scholar

van Strien, T., Cebolla, A., Etchemendy, E., Gutierrez-Maldonado, J., Ferrer-Garcia, M., Botella, C., et al. (2013). Emotional eating and food intake after sadness and joy. Appetite 66, 20–25. doi: 10.1016/j.appet.2013.02.016

PubMed Abstract | CrossRef Full Text | Google Scholar

van Strien, T., Konttinen, H., Homberg, J. R., Engels, R. C., and Winkens, L. H. (2016). Emotional eating as a mediator between depression and weight gain. Appetite 100, 216–224. doi: 10.1016/j.appet.2016.02.034

PubMed Abstract | CrossRef Full Text | Google Scholar

Ventura, A. K., and Worobey, J. (2013). Early influences on the development of food preferences. Curr. Biol. 23, R401–R408. doi: 10.1016/j.cub.2013.02.037

CrossRef Full Text | Google Scholar

Verstuyf, J., Vansteenkiste, M., Soenens, B., Boone, L., and Mouratidis, A. (2013). Daily ups and downs in Women's binge eating symptoms: the role of basic psychological needs, general self-control, and emotional eating. J. Soc. Clin. Psychol. 32, 335–361. doi: 10.1521/jscp.2013.32.3.335

CrossRef Full Text | Google Scholar

Volkow, N. D., Wang, G.-J., Tomasi, D., and Baler, R. D. (2013). Obesity and addiction: neurobiological overlaps. Obes. Rev. 14, 2–18. doi: 10.1111/j.1467-789X.2012.01031.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Wagner, D. D., Boswell, R. G., Kelley, W. M., and Heatherton, T. F. (2012). Inducing negative affect increases the reward value of appetizing foods in dieters. J. Cogn. Neurosci. 24, 1625–1633. doi: 10.1162/jocn_a_00238

PubMed Abstract | CrossRef Full Text | Google Scholar

Yatsunenko, T., Rey, F. E., Manary, M. J., Trehan, I., Dominguez-Bello, M. G., Contreras, M., et al. (2012). Human gut microbiome viewed across age and geography. Nature 486, 222–227. doi: 10.1038/nature11053

CrossRef Full Text | Google Scholar

Zhou, Y., and Tse, C.-S. (2020). The taste of emotion: metaphoric association between taste words and emotion/emotion-laden words. Front. Psychol. 11:986. doi: 10.3389/fpsyg.2020.00986

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhou, Y., and Tse, C.-S. (2022). Sweet taste brings happiness, but happiness does not taste sweet: the unidirectionality of taste-emotion metaphoric association. J. Cogn. Psychol. 34, 339–361. doi: 10.1080/20445911.2021.2020797

CrossRef Full Text | Google Scholar

Zhu, H., Luo, X., Cai, T., Li, Z., and Liu, W. (2014). Self-control and parental control mediate the relationship between negative emotions and emotional eating among adolescents. Appetite 82, 202–207. doi: 10.1016/j.appet.2014.06.106

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: emotion, negative emotions, emotional eating, hedonic eating, eating behavior, reward values, eating decisions

Citation: Ha O-R and Lim S-L (2023) The role of emotion in eating behavior and decisions. Front. Psychol. 14:1265074. doi: 10.3389/fpsyg.2023.1265074

Received: 21 July 2023; Accepted: 21 November 2023;
Published: 07 December 2023.

Edited by:

Andrew Kemp, Swansea University, United Kingdom

Reviewed by:

Giorgia Varallo, University of Parma, Italy

Copyright © 2023 Ha and Lim. 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: Seung-Lark Lim, bGltc2VAdW1rYy5lZHU=

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.