Abstract
Objective:
Adolescent children of U.S. service members (i.e., military-dependent youth) face unique stressors that increase risk for various forms of disinhibited eating, including emotional eating. Difficulties with adaptively responding to stress and aversive emotions may play an important role in emotional eating. This study examined emotion dysregulation as a potential moderator of the association between perceived stress and emotional eating in adolescent military dependents.
Method:
Participants were military-dependent youth (N=163, 57.7% female, Mage=14.5±1.6, MBMI-z=1.9±0.4) at risk for adult binge-eating disorder and high weight enrolled in a randomized controlled prevention trial. Prior to intervention, participants completed questionnaires assessing perceived stress and emotional eating. Parents completed a questionnaire assessing their adolescent’s emotion dysregulation. Moderation analyses were conducted using the PROCESS macro in SPSS and adjusted for theoretically relevant sociodemographic covariates.
Results:
The interaction between adolescent perceived stress and emotion dysregulation (parent-reported about the adolescent) in relation to adolescent emotional eating was found to be significant, such that higher emotion dysregulation magnified the association between perceived stress and emotional eating (p=.010). Specifically, examination of simple slopes indicated that associations between perceived stress and emotional eating were strongest for youth with above-average emotion dysregulation, and non-significant for youth with average or below-average emotion dysregulation.
Discussion:
Findings suggest that greater emotion dysregulation may increase risk for emotional eating in response to stress among military-dependent youth at risk for binge-eating disorder or high weight. Improving emotion regulation skills may be a useful target for eating disorder prevention among youth who are at risk for emotional eating.
Public Significance:
Prior research has shown that adolescent military dependents are at increased risk for eating disorders and high weight. The current study found that emotion dysregulation moderated the relationship between perceived stress and emotional eating among military dependent youths. There may be clinical utility in intervening on emotion regulation for adolescent dependents at particular risk for emotional eating and subsequent eating disorders.
Keywords: military dependents, adolescents, emotional eating, emotion dysregulation, perceived stress
Adolescent military dependents (i.e., children of military service members) face unique stressors that impact the entire family unit (Wadsworth et al., 2022), including parental deployments and frequent relocations, and are at increased risk for emotional distress (Cramm et al., 2019; Gorman et al., 2009). Additionally, military-dependent youth are at elevated risk for disinhibited eating, which encompasses a variety of eating behaviors characterized by a lack of restraint over eating (Read & McComiskey, 2021; Schvey et al., 2015; Shomaker et al., 2011; Swanson et al., 2011; Waasdorp et al., 2007). One form of disinhibited eating that may be especially salient for adolescents is emotional eating (i.e., eating in response to affective states), which is linked to a variety of health concerns (e.g., depression, anxiety, insulin resistance; Arexis et al., 2023; Evgin & Kılıç, 2022; Goossens et al., 2008; Zhang et al., 2023), disordered eating cognitions and behaviors, and onset of binge eating (Allen et al., 2008; Stice et al., 2002). Thus, there is a need to better understand factors that may contribute to emotional eating in military-dependent youth.
Affect-oriented theories posit that aversive internal experiences, (e.g., stress, negative emotions) can prompt disinhibited eating behaviors such as emotional eating, which may function as maladaptive coping or affect regulation strategies (Heatherton & Baumeister, 1991; Leehr et al., 2015; Polivy & Herman, 1993). Consistent with such theories, stress has been shown to prospectively predict emotional eating in children (Michels et al., 2015). Moreover, higher levels of cortisol reactivity, a physiological marker of stress, are associated with greater emotional eating in adolescents (Sato et al., 2023). Additionally, adolescents with higher weight may be particularly vulnerable to engaging in emotional eating in response to stress (Kubiak et al., 2008). Therefore, adolescent military dependents with higher weight may be at especially increased risk for emotional eating.
Emotion dysregulation (i.e., difficulties responding to/modulating emotional responses; Gross & Jazaieri, 2014) is linked to emotional eating in adolescents and adults (e.g., Gouveia et al, 2019; Michopoulos et al., 2015). Among adolescents, use of maladaptive emotion regulation strategies is positively associated with emotional eating (Vandewalle et al., 2016), and adaptive emotion regulation prospectively predicts less emotional eating (Shriver et al., 2019). Consistent with affect theories, individuals with greater emotion dysregulation may be more likely to engage in maladaptive behaviors such as emotional eating in response to stress.
Despite evidence that military-dependent youth have increased vulnerability to stress (Cramm et al., 2009; Gorman et al., 2009), difficulty regulating emotions (Chandra et al., 2010; Esposito-Smythers et al., 2011), and risk for emotional eating (Pine at al., 2020), data on associations among these constructs in this population are lacking. Therefore, we examined emotion dysregulation (parent-reported about the adolescent) as a potential moderator of the relationship between adolescent perceived stress and emotional eating in military-dependent adolescents at risk for binge-eating disorder and higher weight in adulthood. We hypothesized the relationship would be most robust among adolescents with greater emotion dysregulation.
Methods
Participants
Adolescent military dependents, aged 12–17 years, at risk for adult binge-eating disorder and high weight were recruited for a multisite randomized controlled prevention trial at the Uniformed Services University (Bethesda, MD) and Ft. Belvoir Community Hospital (Fort Belvoir, VA; ClinicalTrails.gov identifier: NCT02671292). Baseline data from the study sample have been previously published (e.g., Higgins Neyland et al., 2020; Higgins Neyland et al., 2021; Pearlman et al., 2020), but have not addressed perceived stress and emotion dysregulation in relation to emotional eating.
Participants were classified as at-risk based upon body mass index (BMI) ≥ 85th percentile for age and sex. Additionally, given the intervention (interpersonal psychotherapy) targets loss-of-control-eating (i.e., the experience of feeling unable to stop eating regardless of the amount of food consumed; LOC) and appeared most effective for youth with elevated anxiety in prior studies (Tanofsky-Kraff et al., 2010; Tanofsky-Kraff et al., 2014; Tanofsky-Kraff et al., 2017), the current study recruited youth with either ≥ one LOC-eating episode during the previous three months OR elevated anxiety symptoms (≥ 32 on the Trait subscale of the State-Trait Anxiety Inventory for Children; Spielberger, 1973).
Recruitment efforts included direct mailings, provider referrals, flyers posted at clinics and local military facilities, and online advertisements.
Exclusion criteria included any major medical problem, severe psychiatric disorders (e.g., psychosis, substance use disorders, active suicidal ideation) that may have impeded participation (for which 17 adolescents were excluded), weight loss > 3% of initial body weight within the past three months, current involvement in psychotherapy or a structured weight loss program, use of medications affecting mood, appetite, or body weight (unless they were on a stable dose for at least three months), or current or recent pregnancy (within one-year postpartum). In total, 32 adolescents were excluded for the following reasons: no LOC eating or anxiety (n=10), psychiatric disorders or referral to outside treatment (n=17), disqualifying medical conditions (n=2), inability to complete study procedures due to logistical concerns (n=1), and incomplete baseline data where eligibility could not be determined (n=2). Binge-eating disorder was not exclusionary, though no participant in the current sample met full-threshold criteria as assessed by the Eating Disorder Examination v14.0 OD/C.2 (Fairburn & Cooper, 1993).
The current study is cross-sectional and used data completed prior to enrollment in the interventions. Parents and adolescents provided written informed consent and assent, respectively. Demographic data were determined by parental report. The study was approved by the Uniformed Services University Institutional Review Board and the Ft. Belvoir Community Hospital research office.
Measures
Emotional Eating
The Emotional Eating Scale for children and adolescents (EES-C; Tanofsky-Kraff et al., 2007) is a 25-item questionnaire assessing tendency to experience urges to eat in response to specific emotions (with no time frame specified). Items are rated on a 5-point Likert-type scale and averaged to produce a total and three subscale scores. Given the total and subscales scores were highly correlated (rs≥.90, ps<.001), the total score (α=.95 in this sample) was examined.
Perceived Stress
The Perceived Stress Scale-14 (PSS-14; Cohen et al., 1983) is a 14-item questionnaire assessing perceptions of life situations as stressful during the past month. Items are rated on a 5-point Likert-type scale and summed to provide a total score (α=.78 in this sample).
Emotion Dysregulation
The Child Behavior Checklist (CBCL; Achenbach & Rescorla, 2001) is a parent-report questionnaire assessing emotional and behavioral problems in youth using a 3-point Likert-type scale. The Dysregulation Profile (CBCL-DP; Holtmann et al., 2011) measures adolescent emotion dysregulation, and was calculated as the sum of the T-scores of three syndrome scales: anxious/depressed, attention problems, and aggressive behaviors.
Covariates
Given LOC-eating frequency (sum of objective and subjective binge-eating episodes assessed using the Eating Disorder Examination; Fairburn & Cooper, 1993) and anxiety were inclusion criteria, they were evaluated as covariates. Given emotional eating may differ by sex (Tanofsky-Kraff et al., 2007), age (Ashcroft et al., 2008; Webb et al., 2021), and race/ethnicity (Kazmierski et al., 2021), these variables were also evaluated as covariates.
Analyses
Participants whose parents completed the CBCL were included in current analyses. Data were evaluated for normality using tests of skewness and kurtosis and visual inspection of histogram plots. Little’s Missing Completely at Random test (Little, 1988) revealed 1–8% of the data was missing, yet missing completely at random. Regression analyses were conducted using the PROCESS macro (Hayes, 2022) in SPSS to evaluate conditional effects of the independent variable (perceived stress) on the dependent variable (emotional eating) at three levels of the potential moderator (16th percentile, mean, 84th percentile); these common statistical cut points were selected given there are no clinical cutoffs or relevant norms for the CBCL-DP (Faraone et al., 2005). The EES-C total score was entered as the dependent variable, and PSS-14 and CBCL-DP scores (mean-centered to account for multicollinearity) were entered as main effects. Finally, a two-way interaction term (PSS-14 x CBCL-DP) was entered. Sex assigned at birth (0=female, 1=male), trait anxiety, and LOC-eating frequency (log transformed) were included as covariates. Given sample size demographic considerations, race was dichotomized (0=non-white; 1=white). Preliminary analyses revealed that BMI-z, race, ethnicity, and age were not correlated with the EES-C total score on a univariate level (ps>.05) and were thus excluded from the final model for parsimony. A series of t-tests and chi-square analyses were conducted to determine if there were significant differences between adolescents included versus excluded from the current analyses (due to availability of parent-completed CBCL data; see Appendix A).
Results
Participants were 163 adolescent military dependents with an average age of 14.5 (SD=1.6) years and a mean BMI-z of 1.9 (SD=0.4). From parent-reported demographics, 57.7% of participants were female, 46.0% were Non-Hispanic White, 22.1% were Non-Hispanic Black, 19.6% were Hispanic or Latine, 3.7% were Asian/Pacific Islander, and 14.7% reported mixed race, other, or were unknown. Mean scores were 163.64 (SD=15.94) for the CBCL-DP, 26.36 (SD=7.44) for the PSS-14, and 1.15 (SD=0.77) for the EES-C total score. The two-way interaction between perceived stress and emotion dysregulation for emotional eating was significant (Table 1). Simple slopes analyses revealed the association between perceived stress and emotional eating was significant for adolescents with above-average emotion dysregulation (b=.03, p=.007; see Figure 1), but not average (p=.458) or below-average (p=.747) dysregulation. Results of supplementary analyses examining the EES-C subscales are presented in Appendix A.
Table 1.
Hierarchical Regression Analyses Examining the Interaction between Perceived Stress and Emotion Dysregulation in Relation to Emotional Eating
| Emotional Eating | |||||
|---|---|---|---|---|---|
|
|
|||||
| B | SE B | β | t (dfs) | ΔR2 | |
|
|
|||||
| Step 1 | .26 | ||||
| Sex | −0.25 | 0.12 | −0.16 | t(140) = −2.13, p = .035 | |
| Trait Anxiety | 0.04 | 0.01 | 0.31 | t(140) = 4.10, p < .001 | |
| LOC-Eating | 0.57 | 0.12 | 0.34 | t(140) = 4.66, p < .001 | |
| Step 2 | .02 | ||||
| Perceived Stress | 0.01 | 0.01 | 0.12 | t(138) = 1.48, p = .141 | |
| Emotion Dysregulation | 0.01 | 0.004 | 0.11 | t(138) = 1.56, p = .122 | |
| Step 3 | .03 | ||||
| Perceived Stress × Emotion Dysregulation | 0.001 | <0.001 | 2.06 | t(137) = 2.60, p = .010 | |
Note. Sex was parent-reported and coded as: 0=female, 1=male. Trait anxiety=Trait subscale of the State-Trait Anxiety Inventory for Children. LOC-Eating=loss-of-control-eating frequency in the past three months. LOC-eating was log transformed for analyses. Perceived stress=Perceived Stress Scale-14. Emotion dysregulation=Child Behavior Checklist-Dysregulation Profile. Total emotional eating was derived from the Emotional Eating Scale for children and adolescents.
Figure 1:

Two-way interaction between perceived stress and emotion dysregulation for emotional eating among military-dependent youth.
Discussion
Consistent with the hypothesis, the association between adolescent perceived stress and emotional eating was strongest for adolescent military dependents with above-average parent-reported emotion dysregulation. Although preliminary, these findings suggest that adaptive emotion regulation may buffer against negative impacts of stress on the risk for emotional eating among high-risk military-dependent youth. These results are consistent with previous findings indicating maladaptive emotion regulation is associated with emotional eating in adolescents (Czaja et al., 2009). Moreover, evidence suggests that interventions specifically targeting emotion regulation skills, such as dialectical behavioral therapy, may decrease emotional eating among adults with higher weight (Glisenti & Strodl, 2012). However, future research should examine this in adolescent military dependents.
A strength of the current study was the focus on a vulnerable, yet understudied population (i.e., military-dependent youth), for whom the incidence of eating disorders has increased in recent years (Thompson et al., 2023). Military dependents represent an important pool of military recruits as they are more likely to volunteer for service (Lewis et al., 2022), and eating disorders and/or high body weight (which are linked to emotional eating; Stice et al., 2002; Stojek et al., 2017) may preclude future military accession. Moreover, the sample was relatively large in size and racially/ethnically diverse.
Study limitations include the cross-sectional design, precluding causal and temporal conclusions regarding the observed associations. Moreover, while the approach to evaluating moderation in this study did not require temporal precedence (Hayes, 2022), other approaches have more conservative requirements (Kraemer et al., 2008). As such, the current cross-sectional findings should be considered preliminary and represent a first-step to guide future research examining associations among these constructs longitudinally and using different conceptual frameworks (e.g., mediation). Additionally, the selective sample limits generalizability to civilian adolescents and those with serious psychiatric disorders, some of which may co-occur with disordered eating (Brausch & Gutierrez et al., 2009; Solmi et al., 2018; Zaider et al., 2000). The size and sociodemographic distribution of the sample also precluded a more comprehensive consideration of potential racial/ethnic difference. Furthermore, the measure used in this study does not assess positive affective states; a limitation given that difficulties regulating positive emotions may contribute to binge eating in youth (Howells et al., 2024). Finally, emotion dysregulation was assessed via parent-report, and findings may differ using adolescent-report (Bunford et al., 2020). However, the CBCL-DP is predictive of a range of psychiatric problems (Althoff et al., 2010; Holtmann et al., 2011).
In conclusion, above-average emotion dysregulation (according to parent report) may increase risk for emotional eating in response to stress among adolescent military dependents at risk for excess weight gain or binge-eating disorder. Examining these associations prospectively will be an important step for future research. Replication of these findings with prospective data would support interventions seeking to enhance emotion regulation to reduce or prevent emotional eating in high-risk youth.
Supplementary Material
Funding Statement:
This work was supported by the National Institute of Diabetes and Digestive and Kidney Diseases [grant number 1R01DK104115-01 to MTK] and the Defense Health Agency [number HU00012120008 awarded to the Military Cardiovascular Outcomes Research Program, Uniformed Services University]. JAY is supported by the Intramural Research Program of the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), NIH [ZIAHD00641]. The funding sources had no involvement in study design, in the collection, analysis and interpretation of data, in the writing of the report, or in the decision to submit the article for publication. The opinions and assertions expressed herein are those of the author(s) and do not reflect the official policy or position of the Uniformed Services University of the Health Sciences, NICHD, the United States Air Force, the United States Navy, or the Department of Defense.
Footnotes
COI Disclosure: We have no conflicts of interest to disclose. JAY is Principal Investigator for pharmacotherapy projects unrelated to this research that receive funding or research materials from Soleno Therapeutics, Rhythm Pharmaceuticals, Hikma Pharmaceuticals, and Versanis Bio.
Disclaimer: The opinions and assertions expressed herein are those of the author(s) and do not reflect the official policy or position of the Uniformed Services University of the Health Sciences or the Department of Defense.
Data Availability Statement:
Data can be made available upon reasonable request.
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Data Availability Statement
Data can be made available upon reasonable request.
