Hostname: page-component-6bb9c88b65-lm65w Total loading time: 0.006 Render date: 2025-07-21T16:42:43.918Z Has data issue: false hasContentIssue false

How negative life events affect emotional eating in Chinese adolescents: moderated mediation model

Published online by Cambridge University Press:  27 June 2025

Rong Tan
Affiliation:
Department of Psychology, School of Humanities and Management, Hunan University of Chinese Medicine, Changsha, Hunan, China Mental Health Center, Dongguan Jiarong Foreign Language School, Dongguan, Guangdong, China
Tao Huang
Affiliation:
Mental Health Center, Jiangmen Preschool Education College, Jiangmen, Guangdong, China School of Psychology, Fujian Normal University, Fuzhou, China
Yiru Li
Affiliation:
Mental Health Center, Dongguan Jiarong Foreign Language School, Dongguan, Guangdong, China
Yuhe Zhang
Affiliation:
Mental Health Center, Dongguan Jiarong Foreign Language School, Dongguan, Guangdong, China
Xijin Li
Affiliation:
Mental Health Center, Dongguan Jiarong Foreign Language School, Dongguan, Guangdong, China
Xuanxuan Lin
Affiliation:
School of Education, Huazhong University of Science and Technology, Wuhan, China
Zhenjiang Liao
Affiliation:
Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
Qiuping Huang*
Affiliation:
Department of Psychology, School of Humanities and Management, Hunan University of Chinese Medicine, Changsha, Hunan, China
*
Correspondence: Qiuping Huang. Email: 004834@hnucm.edu.cn.
Rights & Permissions [Opens in a new window]

Abstract

Background

Emotional eating, the tendency to eat in response to negative emotions, is rising among adolescents and linked to obesity and mental health issues. While negative life events contribute to emotional eating, the roles of self-control and social support remain unclear.

Aims

This study examined the relationship between negative life events and emotional eating in adolescents, testing self-control as a mediator and perceived social support as a moderator.

Method

A sample of 740 Chinese high school students (aged 14–18) completed validated measures of negative life events, self-control, perceived social support, and emotional eating. Data were analyzed using SPSS 25.0 (IBM Corp., Armonk, New York, USA)and PROCESS macro for mediation/moderation effects.

Results

Negative life events predicted higher emotional eating (β = 0.11, p < 0.01), while lower self-control mediated this relationship (β = −0.15, p < 0.001). Perceived social support moderated the association (β = −0.09, p < 0.05), weakening it among adolescents with stronger support.

Conclusions

Negative life events increase emotional eating, but self-control and social support play key roles. Interventions targeting these factors may reduce emotional eating and improve adolescent well-being.

Information

Type
Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of Royal College of Psychiatrists

Emotional eating is regarded as a coping mechanism Reference Shriver, Dollar, Calkins, Keane, Shanahan and Wideman1 employed by individuals when facing stress or negative emotions, manifested by seeking solace in food to alleviate emotional discomfort. A multitude of researchers have empirically evidenced a substantial and escalating prevalence trend of emotional eating behaviours among children and adolescents. For example, one study claimed that more than 27% of girls aged 12–18 showed a gradual increase in emotional eating behaviours throughout adolescence. Reference Jones, Bennett, Olmsted, Lawson and Rodin2 This phenomenon is intricately linked to the management and treatment trajectory of conditions such as obesity, thus accentuating its status as a pertinent societal concern deserving attention. Previous research has often associated socioeconomic status and gender with such eating disorders, Reference Al-Musharaf3 indicating that emotional eating is more prevalent among individuals with lower socioeconomic status Reference Spinosa, Christiansen, Dickson, Lorenzetti and Hardman4 and within female populations. Reference Kowalkowska and Poínhos5 The observation that women display more severe patterns than men has led researchers to consider the influence of societal expectations on women’s behaviour. Reference Kowalkowska and Poínhos5 Intriguingly, Burke et al’s study Reference Burke, Hazzard, Schaefer, Simone, O’Flynn and Rodgers6 contradicted this notion, revealing that the assumption that eating disorders are confined to lower socioeconomic groups is a misconception stemming from enduring biases; in reality, these disorders are present across all socioeconomic levels. In addition, other studies Reference Kowalkowska and Poínhos5 have corroborated that annual household income does not directly impact emotional eating behaviour; rather, socioeconomic status influences such behaviour under conditions like chronic stress. This suggests that risk factors for disordered eating related to individual socioeconomic status are complex and cumulative. Reference Rouhani7 Nevertheless, a consistent finding is that emotional eating correlates with negative self-perceptions concerning one’s appearance, health, weight and body shape, Reference Stein and Hedger8 and even correlates with lower life satisfaction. Reference Chen, López-Gil, Memon, Bao and Yang9 Moreover, emotional eating has been identified as a potential risk factor for individuals’ mental well-being. Reference Fyodorova, Arina and Nikolaeva10 For instance, emotional eating has been specifically linked to depression, suggesting potentially harmful implications for the mental health of adolescents. Reference van Strien and Oosterveld11 Recent research suggests that emotional eating ought to be acknowledged as a prevalent mental health concern among adolescents, with negative daily life experiences emerging as a significant predictor for this behaviour. Reference Heshmati, DavyRomano, Chow, Doan and Reynolds12 This sentiment is echoed by a consensus among other scholars in the field. Reference Devonport, Nicholls and Fullerton13

Negative life events are an ensemble of stimuli consisting of risk factors for various forms of psychopathology. Reference Kessler14 These events encompass a wide array of stressors, such as traumatic experiences, chronic adversity, interpersonal conflicts and significant losses, all of which can profoundly impact an individual’s psychological well-being. Reference Mancini15 The accumulation of negative life events has been associated with an increased vulnerability to mental health disorders, including anxiety, depression, post-traumatic stress disorder and substance misuse. Reference Slavik and Croake16 Suffering represents a threatened emotional state after negative events that elicits adaptive physiological, cognitive and behavioural responses. Reference Wijnant, Klosowska, Braet, Verbeken, Henauw and Vanhaecke17 Experiencing suffering caused by a negative life event can plunge an individual into this distressing emotional state, disrupting the equilibrium of their emotions and heightening the susceptibility to emotional disturbances. Empirical evidence supports the manifestation of such precarious scenarios, indicating that distress in individuals may influence their eating behaviours, thereby establishing a robust correlation between adaptive responses and emotional eating disorders, particularly prevalent among adolescents. Reference Nguyen-Rodriguez, Chou, Unger and Spruijt-Metz18 A study focusing on emotional eating patterns among African American adolescent boys underscored this shift in attention, revealing that perceptions of discriminatory pressures from the environment could diminish eating restrictions and redirect focus towards the current stressor, potentially contributing to the development of obesity. Reference Tomiyama19 Concurrently, negative life events can lead to emotional eating, thus triggering obesity issues. Reference Coleman, O’Neil and Ferris20

In addition, there is physiological evidence supporting the influence of negative life events on emotional eating. Prolonged stress, exemplified by the experiences of women during the COVID-19 pandemic, triggers a cascade of physiological alterations, notably heightened cortisol secretion, which can foster increased hunger. Reference Roberts21 Chronic stress further has the potential to disrupt the normal functioning of the hypothalamic–pituitary–adrenal (HPA) axis, leading to aberrant neuroendocrine patterns characterised by heightened appetite and emotional reactivity. Reference Al-Musharaf3

The significance of studying emotional eating and its problematic attributes in adolescents cannot be overstated, especially considering the constrained resources available to them and the self-evident impact of life events in such scenarios. Therefore, it becomes imperative to delve deeper into the correlation between negative life events and emotional eating in adolescents. Accordingly, this study is designed to explore how life stress events influence emotional eating among Chinese adolescents. Drawing from the existing literature, our initial hypothesis posits that negative life events are likely to positively correlate with the intensity of emotional eating in adolescents (H1).

Although research acknowledges a relationship between stressful life events and emotional eating, it is important to recognise that not everyone who faces stressful events will engage in emotional eating. From the perspective of the theory of conservation of resources, possessing adequate psychological resources equips individuals with the resilience required to cope effectively with such stressors. Reference Hobfoll22 When examining how individuals adapt to negative life events, a critical consideration arises: what resources are available to those affected by such events? Understanding the availability and role of these resources is fundamental in clarifying why emotional eating varies among individuals who have experienced similar negative events. This inquiry is not only crucial for identifying the triggers for emotional eating but also in developing effective interventions and treatments. Among these resources, self-control stands out as a significant psychological asset that enables individuals to manage their responses and behaviours effectively. Reference Baumeister, Vohs and Tice23 It is believed to play a pivotal role in how individuals handle the impact of negative life events and their propensity towards emotional eating.

Self-control is the ability of an individual to override or influence his or her own psychological, behavioural and physiological processes, that is, to carry out, regulate and control internal responses.24The diathesis-stress theory hypothesises that a person’s genetic predisposition interacts with environmental stresses as a shaping factor in the development of behavioural problems. Reference Belsky and Pluess25 Adolescence represents a crucial phase in both physical and mental development, during which individuals are particularly vulnerable. Stimulating events from the external environment, coupled with deficiencies in self-regulation and self-control, can elevate the risk of psychological and behavioural issues in this immature group. Reference Cauffman, Steinberg and Piquero26 Research exploring the dynamics between stressful life events and self-control consistently shows a trend: higher levels of stressful life events correlate with diminished self-control. Reference Willems, Boesen, Li, Finkenauer and Bartels27 Moreover, self-control is inversely related to negative emotions such as anxiety and depression, as well as to problematic eating behaviours. Elevated self-control levels in individuals tend to foster better management of poor eating behaviours. Reference Zhu, Luo, Cai, Li and Liu28 High-pressure situations can impair cognitive control over eating, promoting overeating; individuals with higher self-control are less likely to resort to maladaptive eating behaviours. Reference Willems, Boesen, Li, Finkenauer and Bartels27 Consequently, negative life events and self-control are likely significant influences on emotional eating behaviours in adolescents. Encountering negative life events may weaken an individual’s self-control, potentially leading to an increase in maladaptive behaviours, such as overeating. Drawing from these findings, the current study posits a second hypothesis: self-control mediates the relationship between negative life events and emotional eating (H2).

Individual stress is difficult to alleviate without external support, Reference Hobfoll22 making it crucial to identify buffering factors that assist individuals in overcoming the challenges posed by negative life events. Social support, particularly perceived social support, is fundamental in this context. It embodies the belief that assistance will be available from others when needed, reinforcing an individual’s ability to cope with adverse circumstances. Reference Sarason, Pierce, Shearin, Sarason, Waltz and Poppe29 Research indicates that individuals with limited social support tend to endure more negative emotions and experiences when faced with adverse life events, such as chronic illness, compared to those with ample social support who experience fewer negative outcomes under similar conditions, often resulting in greater emotional well-being. Reference Fong, Scarapicchia, McDonough, Wrosch and Sabiston30 According to the theory of conservation of resources, individuals confronted with stressful events strive to mobilise resources to ameliorate their circumstances and counterbalance persistent challenges, which helps mitigate the adverse effects of stress. The process of losing or gaining resources plays a critical role in determining the nature of the stress response. Reference Zaidman-Zait, Mirenda, Duku, Vaillancourt, Smith and Szatmari31

Adolescents who are unable to mobilise resources effectively in response to negative life events are likely to experience elevated levels of psychological stress. Conversely, perceived support from others can significantly aid in coping with such stress. Research underscores the importance of peer group support in reducing psychological distress among students and lowering the incidence of emotional and behavioural problems. Reference Yamada, Klugar, Ivanova and Oborna32 Moreover, a deficiency in social support is recognised as a significant risk factor for mental health issues among adolescents. Reference Lakey and Orehek33 Studies focusing on adolescent demographics confirm that social support can buffer the negative impacts of stress, thereby enhancing emotional health and well-being. Reference Kroenke, Spitzer and Williams34 While existing research has indicated the moderating role of social support in adolescent mental health, its specific moderating influence on the relationship between negative life events and emotional eating in adolescents remains underexplored. Therefore, drawing from the theory of conservation of resources and supporting empirical evidence, we propose our third research hypothesis: to investigate the moderating role of social support in the relationship between negative life events and emotional eating among adolescents (H3).

In summary, this study employs the theoretical frameworks of emotional eating, the relationship model between self-control and emotional eating and the theory of conservation of resources to construct a moderated mediation model (refer to Fig. 1). This model is designed to elucidate the impact of negative life events on adolescent emotional eating. By investigating this model, the study aims to reveal the underlying mechanisms through which negative life events influence adolescents’ emotional eating behaviours. The anticipated findings are expected to furnish empirical evidence that will inform targeted interventions and protection strategies.

Fig. 1 Hypothetical model.

Method

Participants

Using a cluster sampling method, a total of 740 senior high school students from Fujian provinces of China were initially recruited from 1 December 2023 to 1 January 2024. Before the questionnaire survey began, the researcher provided a detailed introduction to the study’s objectives and procedures. Participants were asked to carefully complete each question after providing written informed consent. Since the participants were minors, the classroom teacher also obtained oral informed consent from their parents via telephone, and the recordings were made and kept by researchers. All participants could withdraw at any time during the process of completing the questionnaire. This test lasted approximately 15 min. Incomplete responses and irregular responses were excluded. Subsequently, 722 valid data-sets were collated for analysis (mean age 15.56, s.d. age 1.17), with an age range of 14–18 years, achieving a validity rate of 97.57%.

Table 1 displays the details of all participants’ demographic information.

Table 1 Demographic information

Measures

Negative life events

Negative life events were assessed by the Adolescent Self Rating Life Events Check List. Reference Liu, Liu, Yang, Chai and Wang35 This questionnaire comprises 27 items, with each item rated on a 6-point Likert scale, where ‘0’ means the event did not happen. If the event has occurred, it is rated on a scale of 1–5 (‘1’ for unaffected and ‘5’ for extremely heavily affected) based on the impact of the event (e.g. ‘Failed or unsatisfactory examination results’). Higher scores correspond to more negative life events experienced and more severe negative life events. In the current study, the Adolescent Self Rating Life Events Check List demonstrated strong internal consistency, with a Cronbach’s α of 0.87.

Self-control

The Dual-Mode of Self-Control Scale was utilised to gauge perception of self-control in adolescents. Reference Xie36 This questionnaire comprises 21 items (e.g. ‘I’m an impulsive man’), each measured using a 5-point scoring method (‘1’ indicating strongly inconsistent, ‘5’ indicating strongly consistent). A higher cumulative score indicates more pronounced self-control. The scale has demonstrated suitability for use with Chinese adolescents and exhibited good reliability in the current study (Cronbach’s α = 0.85).

Perceived social support

The assessment of perceived social support employed ‘The Perceived Social Support Scale’ (revised), as validated by Chen et al. Reference Chen, Lu, Yang and Zhang37 This scale contains 12 items (e.g. ‘I am able to get emotional help and support from my family when needed’) and used a Likert 7-point scoring method, ranging from 1 (completely disagree) to 7 (completely agree). A higher total score indicates a higher degree of perceived social support. In this study, the Cronbach’s α of the Perceived Social Support Scale was 0.89.

Emotional eating

The 13-item emotional eating subscale of the Dutch Eating Behaviour Questionnaire was used for assessment of restrained, emotional and external eating behaviour. This subscale has been adapted and validated for use in the Chinese population Reference Li, Liu and Bao38 to assess high school students’ emotional eating behaviours (e.g. ‘Do you crave food when you are provoked?’). Each item rated on a 5-point Likert scale (‘1’ indicating never and ‘5’ indicating very often). Higher total scores indicate more severe emotionally induced eating behaviours. The scale has demonstrated suitability for use with Chinese adolescents Reference Zhao, Zhang, Jin, Zhu, Jia and Li39 and exhibited good reliability in the current study (Cronbach’s α = 0.96).

Statistical analyses

SPSS version 25.0 software for Windows (IBM Corp., Armonk, New York, USA) and the SPSS PROCESS macro program Reference Hayes40 were employed to process all data, involving the following several steps. First, Harman’s single-factor analysis was utilised to examine potential common method bias. Subsequently, descriptive statistics and correlation analyses were conducted for each of the primary variables. Finally, the PROCESS macro (specifically Model 5) was utilised to evaluate the chained mediation model using 5000 bootstrap samples and 95% confidence intervals. The result is statistically significant if the lower and upper limits of the 95% confidence interval do not include ‘0’ (an index and test of linear moderated mediation).

Ethics statement

The authors assert that all procedures contributing to this work comply with the ethical standards of the relevant national and institutional committees on human experimentation and with the Helsinki Declaration of 1975, as revised in 2013. This study was approved by the Ethics Committee of Fujian Normal University (code number: SCNU-PSY-2023-12-010). All participants were thoroughly informed about the objectives of this investigation and provided their signed informed consent. In addition, under the researcher’s supervision, the classroom teacher obtained oral informed consent from their parents via telephone, with recordings of these consents preserved for our records. All participants could withdraw at any time during the process of completing the questionnaire.

Results

Common method bias

Harman’s single-factor test was employed to examine potential common method bias. Reference Hayes and Scharkow41 The analysis revealed 16 factors with eigenvalues above 1, and the variance explained by the first common factor was 14.26%, which is below the empirical threshold of 40%. Reference Podsakoff, MacKenzie, Lee and Podsakoff42 Therefore, there is no serious common method bias in this study.

Descriptive statistics and correlation analysis of the main variable

Descriptive statistics (means and standard deviations) and correlations for the main study variables are presented in Table 2. Specifically, self-control was significantly and negatively associated with emotional eating (r = –0.17, p < 0.01), while negative life events were significantly positively correlated with emotional eating (r = 0.15, p < 0.01). Furthermore, negative life events were significantly negatively correlated with self-control (r = –0.26, p < 0.01) and perceived social support (r = –0.25, p < 0.01). There was a significant positive correlation between core perceived social support and self-control (r = 0.26, p < 0.01).

Table 2 Results of descriptive statistics and correlation analysis

N = 722; gender is a dummy variable, male 1, female 0. * p < 0.05, ** p < 0.01, *** p < 0.001.

Given that gender exhibited significant correlations with certain primary variables in the study, it was introduced as a control variable in the subsequent model tests to mitigate their potential influence on the results.

Testing the mediating role of self-control

The three variables, namely negative life events (independent variable), emotional eating (dependent variable) and self-control (mediating variable), were standardised and the SPSS PROCESS macro procedure (model 4) was used to test the mediating effect of self-control. The results of the theoretical model and the bootstrap test results are shown in Table 3. After controlling for gender, negative life events significantly positively predicted emotional eating (β = 0.11, p < 0.01), indicating that the direct effect is significant. Furthermore, the mediating effect of self-control is established. Negative life events significantly negatively predicted self-control (β = –0.26, p < 0.001), and self-control had a significant effect on emotional eating (β = –0.15, p < 0.001), suggesting an indirect effect.

Table 3 Mediating effect and 95% CI estimate

NLE, negative life events.

Therefore, these findings show that self-control partially mediates the relationship between negative life events and emotional eating. The mediating effect of self-control was estimated at 0.04, accounting for 26.67% of the total effect. The bootstrap 95% confidence interval for the mediating effect was [0.02, 0.06].

Testing the moderated effect of perceived social support

Model 5 was used to test for the moderating role of perceived social support. The results indicate that the interaction term between negative life events and perceived social support significantly and negatively predicted emotional eating (β = –0.09, p < 0.05). In other words, perceived social support had a negative moderating effect on the relationship between negative life events and emotional eating.

The direct effect values and 95% confidence intervals for negative life events on emotional eating were calculated at three levels of perceived social support scores: one standard deviation below the mean, the mean and one standard deviation above the mean. These values are presented in Table 4. Further simple slope analysis revealed compelling results. For high school students with low perceived social support (–s.d.), there was a significant trend indicating that as negative life events increased, emotional eating also increased (Bsimple 0.21, s.e. = 0.05, p < 0.001). This means that for every standard deviation increase in negative life events, there was a corresponding rise of 0.21 standard deviations in emotional eating. However, among high school students with high perceived social support (+s.d.), an increase in negative life events did not significantly predict a rise in emotional eating (Bsimple 0.04, s.e. = 0.06, p > 0.05). Notably, the prediction of emotional eating was weaker with high perceived social support compared to low perceived social support (see Fig. 2). This demonstrates the moderated mediating role played by perceived social support and self-control (refer to Fig. 3).

Fig. 2 The moderating role of perceived social support (PSC) in the relationship between negative life events (NLE) and emotional eating.

Fig. 3 Moderated mediating effects of perceived social support and self-control. **p < 0.01, ***p < 0.001.

Table 4 Direct effects at different levels of perceived social support

**p < 0.01, ***p < 0.001.

Discussion

This study explored the association between negative life events and emotional eating in adolescents, scrutinising the underlying mechanisms. The analysis revealed that negative life events, self-control, perceived social support and emotional eating in adolescents are components of a moderated mediation model. There is a noteworthy direct relationship between negative life events and emotional eating in adolescents, alongside an indirect influence exerted through self-control. Furthermore, perceived social support moderates the extent of this relationship, with more pronounced effects observed when levels of perceived social support are low. These findings clarify the pivotal roles that self-control and perceived social support play within the dynamics between negative life events and emotional eating in adolescents. Insights from this study underscore the importance of bolstering social support to alleviate emotional eating and foster positive, robust psychological growth in adolescents.

The relationship between negative life events and emotional eating in adolescents

The results of the present study suggest that negative life events positively predicted emotional eating behaviour in adolescents, supporting the findings of previous studies in which negative life events were viewed as necessary prerequisites and drivers of the development of eating disorders. Reference Jauch-Chara and Oltmanns43 The stress-integration model further provides support for this, Reference Slavik and Croake16 with emotional eating being an emotional coping mechanism employed to seek solace in times of stress. Reference Shriver, Dollar, Calkins, Keane, Shanahan and Wideman1 The trigger for emotional eating may be the individual’s urgent need to relieve stress after experiencing a negative life event, seeking a sense of compensation through binge eating, which subsequently exacerbates emotional eating. Individuals prone to emotional eating often experience significant emotional repercussions, display heightened impulsivity, and may underestimate their behaviours. Typically, they gravitate towards highly palatable, energy-dense foods, a shift that can contribute to the development of obesity and associated health complications. Reference Devonport, Nicholls and Fullerton13

The mediating role of self-control

The present study found that negative life events indirectly influence adolescents’ emotional eating behaviour through self-control. First, the level of self-control decreased with the exacerbation of negative life events, consistent with previous findings. Adolescents exposed to negative life events develop internalising psychological symptoms. Reference March-Llanes, Marqués-Feixa, Mezquita, Fañanás and Moya-Higueras44 Negative life events may disrupt individuals’ thoughts and alter their mood, impairing cognitive control over behaviour. Reference Engelberg, Steiger, Gauvin and Wonderlich45 Second, we found that self-control negatively predicts emotional eating, aligning with findings in obese patients, Reference Elfhag and Morey46 and enhancing self-control improves adolescents’ emotional eating behaviour. Zhu et al Reference Zhu, Luo, Cai, Li and Liu28 identify poor self-control as a critical factor contributing to emotional eating. Adolescents, in particular, are susceptible to diminished self-control following negative life events, which complicates their ability to regulate and curb overeating behaviours. This reduction in self-control leads to more pronounced issues with emotional eating and negatively affects both their physical and mental health. The mediational analysis reveals that self-control acts as a conduit through which external stressors, such as negative life events, erode an individual’s internal capacities (e.g. self-control), thereby influencing their eating behaviours. Consequently, interventions aimed at enhancing self-control among adolescents can help reduce the effects of negative life events and promote better mental health outcomes.

The moderating role of perceived social support

Perceived social support has a moderating effect between negative life events and adolescents’ emotional eating, with moderation occurring in the main effect pathway. When the level of collateral social support is high, emotional eating behaviours caused by suffering negative life events are lower for adolescents. This suggests that adolescents’ level of perceived social support can help reduce the occurrence of emotional eating behaviours. Hobfoll’s theory of conservation of Resources emphasises that individual stress cannot be alleviated without external social support, and the results of this study support this theory. Reference Hobfoll22 Furthermore, previous research has shown that perceived social support is not only a separate risk factor for adolescent mental health but also moderates the association between life events and mental illness, Reference Miloseva, Vukosavljevic-Gvozden, Richter, Milosev and Niklewski47 aligning with the present study’s findings. Indeed, our results indicate that perceived social support acts as a protective factor in reducing emotional eating among adolescents. This is consistent with the buffering model, Reference Cohen and Wills48 which posits that social support can shield individuals exposed to life events from potential pathogenic factors, a view confirmed by numerous empirical studies. Reference Monroe, Slavich and Georgiades49 However, previous studies Reference Lin, Wang and Chen50 have found that adolescence is inherently a socially risky stage, with more psychological crises and challenges, making the role of adolescents’ social support systems even more crucial. This highlights the essential role of peer and family influences as protective factors against emotional eating in adolescence. Peer relationships, with their strong emotional and social support, profoundly shape adolescents’ food preferences and eating behaviours. Reference He, Liu, Chen, Huang and Luo51 Social cognitive theory suggests that positive peer environments – such as those in schools and communities promoting healthy habits – encourage adolescents to adopt healthier eating patterns by modelling friends’ behaviours and shared health beliefs. Reference Rosenrauch, Ball and Lamb52 Family dynamics are equally crucial. Findings from other studies show that a supportive family environment fosters resilience, helping adolescents build healthier coping mechanisms for managing stress and reducing the risk of emotional eating. Besides, another important area of focus is community support. In recent years, community-based youth mentoring (CBM) programmes have gained traction in high-income countries like the USA, the UK, New Zealand, Canada and Ireland. Reference Settipani, Hawke, Cleverley, Chaim, Cheung and Mehra53 These programmes, though varied in approach, commonly emphasise early intervention, family involvement and environmental sustainability. Reference Settipani, Hawke, Cleverley, Chaim, Cheung and Mehra53 For instance, Ireland identifies at-risk youth early, teaching core competencies and building resilience. Reference Illback and Bates54 The USA adopts a multi-modal strategy to address youth needs holistically, while Canada integrates local cultural elements to fill gaps in youth mental health services. Reference Raposa, Ben-Eliyahu, Olsho and Rhodes55 This underscores the need for society, families and schools to provide more resources for comprehensive adolescent support, helping to mitigate stress from negative life events, reduce behaviours like emotional eating and improve overall mental health.

Therefore, targeted measures should be implemented to help adolescents reduce impulsive maladaptive coping behaviours, such as overeating, and enhance their mental health. Schools and families should establish systematic communication channels and platforms to minimise the impact of negative life events on adolescents, reduce resource depletion and alleviate sources of stress. In addition, for adolescents who have already experienced negative life events, obtaining real and effective perceived social support is crucial. Insufficient support can impair the protective effect of perceived social support in buffering stress. Previous reviews of empirical studies on adolescent social support Reference Mendonça, Cheng, Mélo and de Farias Júnior56 suggest that adolescents particularly need various types of social support for their physical and mental health development, indicating that the actual level of support received by adolescents may be inadequate. Thus, adolescents experiencing negative life events who develop behavioural problems like overeating are likely under-resourced, which can trigger further adverse consequences, such as a tendency to choose high-calorie foods, and induce additional psychological and health issues.

Limitations

This study has several limitations. First, while the use of self-reported surveys provided valuable insights, the exclusive reliance on this method may have introduced reporting bias. Future studies should implement a multi-method approach incorporating physiological measurements such as cortisol levels, skin conductance, electroencephalography (EEG) and blood glucose monitoring to provide objective indicators of stress and eating behaviours. Reference Anand57 Second, as a cross-sectional study, it is challenging to determine causal relationships between variables and their effects on behaviour. We recommend future longitudinal studies that track participants over key developmental transitions (e.g. from junior to senior high school), include at least three measurement points over a 2-year period to capture change patterns and use growth curve modelling to analyse individual trajectories of emotional eating. Third, although the research methodology was robust, this study lacked direct engagement with participants. Future research should incorporate semi-structured interviews with adolescents to understand their lived experiences and focus groups to explore group dynamics and peer influences. In addition, the demographic variables in this study were somewhat limited; thus, future research should consider including factors such as socioeconomic status indicators (family income, parental education, occupation), parenting styles, family dynamics and school environment characteristics. Finally, while this study focused on the impact of external factors, such as perceived social support and negative life events, on adolescents’ emotional eating, it highlighted the importance of real and effective social support for adolescents’ healthy development. However, it did not offer a systematic and effective intervention programme for addressing adolescents’ behavioural problems. Future research should develop and test culturally adapted intervention protocols and conduct randomised controlled trials of prevention programmes.

In summary, this study explored the underlying mechanisms of negative life events and adolescents’ emotional eating behaviours from both theoretical and empirical perspectives. The findings clarified that exposure to negative life events indirectly affects adolescents’ emotional eating behaviours through the mediating variable of self-control. In addition, it was determined that perceived social support can moderate the relationship between negative life events and adolescents’ emotional eating behaviours. These results have practical significance in helping to effectively alleviate and reduce emotional eating and other behavioural problems in adolescents.

This paper validates the importance of social support, particularly within the unique context of Chinese adolescents. To enhance understanding, it is crucial to elaborate on how cultural factors influence social support and its impact on adolescent behaviour and emotional coping, especially compared to other cultural groups. Chinese culture values collectivism and family interdependence, influencing adolescent support systems. A notable example is intergenerational parenting, where grandparents play a significant role in child-rearing, especially in urban dual-income families. Reference Xu, Zhu, Zhou, Li, Chen and Li58 While this arrangement can ease parental pressures, it may also lead to the transmission of negative parenting styles, such as hostility and aggression, affecting children’s emotional well-being and extending into adulthood. Reference He, Liu, Chen, Huang and Luo51 For rural and migrant youth, limited resources pose additional challenges. Positive early experiences, such as family support and community engagement, are especially valuable in these populations, helping foster mental health and resilience. Reference Bethell, Jones, Gombojav, Linkenbach and Sege59 In contrast to Western individualistic cultures, where peer and institutional support are emphasised, Chinese adolescents rely more on family and community networks. This reliance can sometimes amplify stress from familial expectations, highlighting the importance of culturally tailored intervention models to address unique needs across different populations.

In summary, a localised, multilevel and multi-modal intervention system grounded in the Chinese cultural context and integrating school, family and community support is essential. Although the Chinese government mandates mental health services in schools, there remains a lack of a systematic intervention model, underscoring the need for a dedicated fund to implement these initiatives. At the school level, large-scale stress counselling workshops, adolescent stress management courses and group counselling sessions should be implemented. Reference Biegel, Brown, Shapiro and Schubert60 At the family level, national policies should emphasise family education’s importance, complemented by family education courses and parent–child workshops at the micro level. At the community level, community resources should be leveraged to create accessible, effective intervention pathways for at-risk adolescents, including timely support and family education guidance. Reference Hogue, Liddle, Becker and Johnson-Leckrone61 In conclusion, future strategies should involve the collaborative participation of school teachers, family caregivers and community social workers to foster a comprehensive support network for youth.

Data availability

The data-sets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Acknowledgements

We would like to express our special gratitude to Professor Hongxian Shen for his invaluable time and expertise during the project. Professor Shen provided us with significant assistance in improving writing and interpreting the results.

Author contributions

R.T. and T.H.: conceptualisation, writing – original draft, writing – review & editing. Z.L. and Q.H.: conceptualisation, methodology, writing – original draft, writing – review & editing. Y.L., Y.Z., X. Li and X. Lin: writing – original draft.

Funding

This research was supported by the Hunan Provincial Natural Science Foundation (No. 2023JJ40476) and the Hunan Provincial Social Science Achievement Evaluation Committee (No. XSP24YBZ185).

Declaration of interest

None.

Footnotes

*

These authors contributed equally to this work and are joint first authors.

References

Shriver, LH, Dollar, JM, Calkins, SD, Keane, SP, Shanahan, L, Wideman, L. Emotional eating in adolescence: effects of emotion regulation, weight status and negative body image. Nutrients 2020; 13: 79.10.3390/nu13010079CrossRefGoogle ScholarPubMed
Jones, J M, Bennett, S, Olmsted, M P, Lawson, M L, Rodin, G. Disordered eating attitudes and behaviours in teenaged girls: a school-based study. Cmaj 2001; 165: 547–52.Google ScholarPubMed
Al-Musharaf, S. Prevalence and predictors of emotional eating among healthy young Saudi women during the COVID-19 pandemic. Nutrients 2020; 12: 2923.10.3390/nu12102923CrossRefGoogle ScholarPubMed
Spinosa, J, Christiansen, P, Dickson, JM, Lorenzetti, V, Hardman, CA. From socioeconomic disadvantage to obesity: the mediating role of psychological distress and emotional eating. Obesity 2019; 27: 559–64.10.1002/oby.22402CrossRefGoogle ScholarPubMed
Kowalkowska, J, Poínhos, R. Eating behaviour among university students: relationships with age, socioeconomic status, physical activity, Body Mass Index, waist-to-height ratio and social desirability. Nutrients 2021; 13: 3622.10.3390/nu13103622CrossRefGoogle ScholarPubMed
Burke, NL, Hazzard, VM, Schaefer, LM, Simone, M, O’Flynn, JL, Rodgers, RF. Socioeconomic status and eating disorder prevalence: at the intersections of gender identity, sexual orientation, and race/ethnicity. Psychol Med 2023; 53: 4255–65.10.1017/S0033291722001015CrossRefGoogle ScholarPubMed
Rouhani, S. Intersectionality-Informed Quantitative Research: A Primer Vancouver, BC Institute for Intersectionality Research and Policy, Simon Fraser University, 2014.Google Scholar
Stein, KF, Hedger, KM. Body weight and shape self-cognitions, emotional distress, and disordered eating in middle adolescent girls. Arch Psychiat Nurs 1997; 11: 264–75.10.1016/S0883-9417(97)80017-9CrossRefGoogle ScholarPubMed
Chen, S, López-Gil, Jé F, Memon, AR, Bao, R, Yang, X. Associations of eating habits with self-rated health and life satisfaction in adolescents: a 42-country cross-sectional study. Eur J Investig Health Psychol Educ 2024; 14: 1501–13.Google ScholarPubMed
Fyodorova, E, Arina, G, Nikolaeva, V. Emotional eating as a risk factor for body image and life satisfaction. Eur Psychiat 2021; 64: S457.10.1192/j.eurpsy.2021.1221CrossRefGoogle Scholar
van Strien, T, Oosterveld, P. The children’s DEBQ for assessment of restrained, emotional, and external eating in 7-to 12-year-old children. Int J Eat Disorder 2008; 41: 7281.10.1002/eat.20424CrossRefGoogle ScholarPubMed
Heshmati, S, DavyRomano, E, Chow, C, Doan, SN, Reynolds, KD. Negative emodiversity is associated with emotional eating in adolescents: an examination of emotion dynamics in daily life. J Adolescence 2023; 95: 115–30.10.1002/jad.12103CrossRefGoogle ScholarPubMed
Devonport, TJ, Nicholls, W, Fullerton, C. A systematic review of the association between emotions and eating behaviour in normal and overweight adult populations. J Health Psychol 2019; 24: 324.10.1177/1359105317697813CrossRefGoogle ScholarPubMed
Kessler, RC. The effects of stressful life events on depression. Annu Rev Psychol 1997; 48: 191214.10.1146/annurev.psych.48.1.191CrossRefGoogle ScholarPubMed
Mancini, AD. When acute adversity improves psychological health: a social-contextual framework. Psychol Rev 2019; 126: 486505.10.1037/rev0000144CrossRefGoogle ScholarPubMed
Slavik, S, Croake, J. The individual psychology conception of depression as a stress-diathesis model. J Indiv Psychol 2006; 62: 417–28.Google Scholar
Wijnant, K, Klosowska, J, Braet, C, Verbeken, S, Henauw, S, Vanhaecke, L, et al. Stress responsiveness and emotional eating depend on youngsters’ chronic stress level and overweight. Nutrients 2021; 13: 3654.10.3390/nu13103654CrossRefGoogle ScholarPubMed
Nguyen-Rodriguez, ST, Chou, C-P, Unger, JB, Spruijt-Metz, D. BMI as a moderator of perceived stress and emotional eating in adolescents. Eat Behav 2008; 9: 238–46.10.1016/j.eatbeh.2007.09.001CrossRefGoogle ScholarPubMed
Tomiyama, AJ. Stress and obesity. Annu Rev Psychol 2019; 70: 703–18.10.1146/annurev-psych-010418-102936CrossRefGoogle ScholarPubMed
Coleman, A, O’Neil, J, Ferris, AM. The mediation effect between everyday discrimination, gender role conflict, emotional eating, and obesity in African American fathers and sons. Psychol Men Mascul 2019; 20: 182–93.10.1037/men0000201CrossRefGoogle Scholar
Roberts, C. The effects of stress on food choice, mood and bodyweight in healthy women. Nutr Bull 2008; 33: 33–9.10.1111/j.1467-3010.2007.00666.xCrossRefGoogle Scholar
Hobfoll, SE. Conservation of resources: a new attempt at conceptualizing stress. Am Psychol 1989; 44: 513–24.10.1037/0003-066X.44.3.513CrossRefGoogle ScholarPubMed
Baumeister, RF, Vohs, KD, Tice, DM. The strength model of self-control. Curr Dir Psychol Sci 2007; 16: 351–5.10.1111/j.1467-8721.2007.00534.xCrossRefGoogle Scholar
Tangney, JP, Boone, AL, Baumeister, RF. High self-control predicts good adjustment, less pathology, better grades, and interpersonal success. In Self-Regulation and Self-Control (ed RF Baumeister) 173–212. Routledge, 2018.Google Scholar
Belsky, J, Pluess, M. Beyond diathesis stress: differential susceptibility to environmental influences. Psychol Bull 2009; 135: 885908.10.1037/a0017376CrossRefGoogle ScholarPubMed
Cauffman, E, Steinberg, L, Piquero, AR. Psychological, neuropsychological and physiological correlates of serious antisocial behavior in adolescence: the role of self-control. Criminology 2005; 43: 133–76.10.1111/j.0011-1348.2005.00005.xCrossRefGoogle Scholar
Willems, YE, Boesen, N, Li, J, Finkenauer, C, Bartels, M. The heritability of self-control: a meta-analysis. Neurosci Biobehav Rev 2019; 100: 324–34.10.1016/j.neubiorev.2019.02.012CrossRefGoogle ScholarPubMed
Zhu, H, Luo, X, Cai, T, Li, Z, Liu, W. Self-control and parental control mediate the relationship between negative emotions and emotional eating among adolescents. Appetite 2014; 82: 202–7.10.1016/j.appet.2014.06.106CrossRefGoogle ScholarPubMed
Sarason, BR, Pierce, GR, Shearin, EN, Sarason, IG, Waltz, JA, Poppe, L. Perceived social support and working models of self and actual others. J Pers Soc Psychol 1991; 60: 273–87.10.1037/0022-3514.60.2.273CrossRefGoogle Scholar
Fong, AJ, Scarapicchia, TMF, McDonough, MH, Wrosch, C, Sabiston, CM. Changes in social support predict emotional well-being in breast cancer survivors. Psycho-Oncol 2017; 26: 664–71.10.1002/pon.4064CrossRefGoogle ScholarPubMed
Zaidman-Zait, A, Mirenda, P, Duku, E, Vaillancourt, T, Smith, IM, Szatmari, P, et al. Impact of personal and social resources on parenting stress in mothers of children with autism spectrum disorder. Autism 2017; 21: 155–66.10.1177/1362361316633033CrossRefGoogle ScholarPubMed
Yamada, Y, Klugar, M, Ivanova, K, Oborna, I. Psychological distress and academic self-perception among international medical students: the role of peer social support. BMC Med Educ 2014; 14: 18.10.1186/s12909-014-0256-3CrossRefGoogle ScholarPubMed
Lakey, B, Orehek, E. Relational regulation theory: a new approach to explain the link between perceived social support and mental health. Psychol Rev 2011; 118: 482–95.10.1037/a0023477CrossRefGoogle ScholarPubMed
Kroenke, K, Spitzer, RL, Williams, JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med 2001; 16: 606–13.10.1046/j.1525-1497.2001.016009606.xCrossRefGoogle ScholarPubMed
Liu, X, Liu, L, Yang, J, Chai, F, Wang, A. Reliability and validity testing of the Adolescent Life Events Scale. Chin J Clin Psychol 1997; 5(1): 34–6 . Google Scholar
Xie, D, Wang L, Tao T, Fan C, Gao W. Validity and reliability of the Chinese version of the dual system scale of adolescent self-control. Chin Mental Health J 2014; 28: 386–91.Google Scholar
Chen, W, Lu, C, Yang, X, Zhang, J. Multivariate generalization analysis of the appreciation social support scale. Psychol Explor 2016; 36: 75–8.Google Scholar
Li, Y, Liu, Y, Bao, J. The applicability of dutch eating behavior questionnaire (DEBQ) in chinese college students. Chin J Clin Psychol 2018; 26: 277–81.Google Scholar
Zhao, S, Zhang, S, Jin, T, Zhu, L, Jia, Y, Li, Q . Adolescents: the role of experiential avoidance and self-esteem. J Psychol Sci 2019; 42: 477–83.Google Scholar
Hayes, AF. PROCESS: A Versatile Computational Tool for Observed Variable Mediation, Moderation, and Conditional Process Modeling. University of Kansas, KS, 2012.Google Scholar
Hayes, AF, Scharkow, M. The relative trustworthiness of inferential tests of the indirect effect in statistical mediation analysis: does method really matter? Psychol Sci 2013; 24: 1918–27.10.1177/0956797613480187CrossRefGoogle ScholarPubMed
Podsakoff, PM, MacKenzie, SB, Lee, J-Y, Podsakoff, NP. Common method biases in behavioral research: a critical review of the literature and recommended remedies. J Appl Psychol 2003; 88: 879903.10.1037/0021-9010.88.5.879CrossRefGoogle ScholarPubMed
Jauch-Chara, K, Oltmanns, KM. Obesity-a neuropsychological disease? Systematic review and neuropsychological model. Prog Neurobiol 2014; 114: 84101.10.1016/j.pneurobio.2013.12.001CrossRefGoogle ScholarPubMed
March-Llanes, J, Marqués-Feixa, L, Mezquita, L, Fañanás, L, Moya-Higueras, J. Stressful life events during adolescence and risk for externalizing and internalizing psychopathology: a meta-analysis. Eur Child Adoles Psychiatry 2017; 26: 1409–22.10.1007/s00787-017-0996-9CrossRefGoogle ScholarPubMed
Engelberg, MJ, Steiger, H, Gauvin, L, Wonderlich, SA. Binge antecedents in bulimic syndromes: An examination of dissociation and negative affect. Int J Eat Disord 2007; 40: 531–6.10.1002/eat.20399CrossRefGoogle ScholarPubMed
Elfhag, K, Morey, LC. Personality traits and eating behavior in the obese: poor self-control in emotional and external eating but personality assets in restrained eating. Eat Behav 2008; 9: 285–93.10.1016/j.eatbeh.2007.10.003CrossRefGoogle ScholarPubMed
Miloseva, L, Vukosavljevic-Gvozden, T, Richter, K, Milosev, V, Niklewski, Günter. Perceived social support as a moderator between negative life events and depression in adolescence: implications for prediction and targeted prevention. EPMA Journal 2017; 8: 237–45.10.1007/s13167-017-0095-5CrossRefGoogle ScholarPubMed
Cohen, S, Wills, TA. Stress, social support, and the buffering hypothesis. Psychol Bull 1985; 98: 310–57.10.1037/0033-2909.98.2.310CrossRefGoogle ScholarPubMed
Monroe, SM, Slavich, GM, Georgiades, K. The social environment and depression: the roles of life stress. In Handbook of Depression (eds IH Gotlib, CL Hammen) 296–314. The Guilford Press, 2014.Google Scholar
Lin, X, Wang, R, Chen, J. The reliability and validity of the brief measures of perceived childhood harshness and unpredictability: a revised Chinese version for emerging adults. Child Abuse Neglect 2024; 153: 106810.10.1016/j.chiabu.2024.106810CrossRefGoogle ScholarPubMed
He, Y, Liu, C, Chen, Y, Huang, J, Luo, R. Intergenerational transmission of parenting style in rural China and the mediation effect of Caregiver’s mental health. Child Youth Serv Rev 2020; 117: 105319.10.1016/j.childyouth.2020.105319CrossRefGoogle Scholar
Rosenrauch, S, Ball, K, Lamb, KE. Associations between perceived friends’ support of healthy eating and meal skipping in adolescence. Public Health Nutr 2017; 20: 3266–74.10.1017/S136898001700235XCrossRefGoogle ScholarPubMed
Settipani, CA, Hawke, LD, Cleverley, K, Chaim, G, Cheung, A, Mehra, K, et al. Key attributes of integrated community-based youth service hubs for mental health: a scoping review. Int J Ment Health Syst 2019; 13: 126.10.1186/s13033-019-0306-7CrossRefGoogle ScholarPubMed
Illback, RJ, Bates, T. Transforming youth mental health services and supports in Ireland. Early Interv Psychiatry 2011; 5: 527.10.1111/j.1751-7893.2010.00236.xCrossRefGoogle ScholarPubMed
Raposa, EB, Ben-Eliyahu, A, Olsho, LE, Rhodes, J. Birds of a feather: Is matching based on shared interests and characteristics associated with longer youth mentoring relationships? J Commun Psychol 2019; 47: 385–97.10.1002/jcop.22127CrossRefGoogle ScholarPubMed
Mendonça, G, Cheng, LA, Mélo, EN, de Farias Júnior, JC. Physical activity and social support in adolescents: a systematic review. Health Educ Res 2014; 29: 822–39.10.1093/her/cyu017CrossRefGoogle ScholarPubMed
Anand, BK. Nervous regulation of food intake. Physiol Rev 1961; 41: 677708.10.1152/physrev.1961.41.4.677CrossRefGoogle ScholarPubMed
Xu, X, Zhu, L, Zhou, S, Li, Z, Chen, Y, Li, Y. Relations between maternal parenting stress and children’s social competence in chinese parent-grandparent co-parenting families. J Child Fam Stud 2024; 33: 2858–69.10.1007/s10826-024-02890-3CrossRefGoogle Scholar
Bethell, C, Jones, J, Gombojav, N, Linkenbach, J, Sege, R. Positive childhood experiences and adult mental and relational health in a statewide sample: associations across adverse childhood experiences levels. JAMA Pediatr 2019; 173: e193007.10.1001/jamapediatrics.2019.3007CrossRefGoogle Scholar
Biegel, GM, Brown, KW, Shapiro, SL, Schubert, CM. Mindfulness-based stress reduction for the treatment of adolescent psychiatric outpatients: a randomized clinical trial. J Consult Clin Psychol 2009; 77: 855–66.10.1037/a0016241CrossRefGoogle ScholarPubMed
Hogue, A, Liddle, HA, Becker, D, Johnson-Leckrone, J. Family-based prevention counseling for high-risk young adolescents: immediate outcomes. J Commun Psychol 2002; 30: 122.10.1002/jcop.1047CrossRefGoogle Scholar
Figure 0

Fig. 1 Hypothetical model.

Figure 1

Table 1 Demographic information

Figure 2

Table 2 Results of descriptive statistics and correlation analysis

Figure 3

Table 3 Mediating effect and 95% CI estimate

Figure 4

Fig. 2 The moderating role of perceived social support (PSC) in the relationship between negative life events (NLE) and emotional eating.

Figure 5

Fig. 3 Moderated mediating effects of perceived social support and self-control. **p < 0.01, ***p < 0.001.

Figure 6

Table 4 Direct effects at different levels of perceived social support

Submit a response

eLetters

No eLetters have been published for this article.