Abstract
Stressors unique to military families may place dependents of military service members of both sexes at high-risk for disordered-eating. Yet, there are no data examining sex-related differences in eating pathology and distress among this population. Therefore, we examined disordered-eating attitudes and associated psychosocial characteristics in adolescent military dependents at high-risk for both eating disorders and adult obesity (i.e., BMI ≥ 85th percentile and elevated anxiety symptoms and/or loss-of-control eating). One-hundred-twenty-five (55.2% female) adolescent (12-17y) military dependents were studied prior to entry in an eating disorder and obesity prevention trial. Youth were administered the Eating Disorder Examination interview to determine disordered-eating attitudes, and completed questionnaires to assess self-esteem, social functioning, and depression. Girls and boys did not differ in BMIz (p=.66) or race/ethnicity (p=.997/p=.55). Adjusting for relevant covariates, girls and boys did not differ significantly with regard to disordered-eating global scores (p=.38), self-esteem (p=.23), or social functioning (p=19). By contrast, girls reported significantly more symptoms of depression (p=.001). Adolescent male and female dependents at high-risk for eating disorders and adult obesity reported comparable levels of eating-related and psychosocial stress. Data are needed to elucidate how adolescent military dependents respond to intervention and whether sex moderates outcome.
Keywords: sex, disordered-eating, psychosocial functioning, adolescent military dependents
1. Introduction
Military personnel may present with higher rates of disordered-eating than the general population.1-3 Service-members encounter unique challenges, namely fitness tests, military appearance standards, trauma exposure, relocation, and deployment that have been linked to unhealthy eating behaviors.1,4,5 Such experiences are likely to permeate and influence military families. Limited data suggest that the adolescent children of military personnel may be more vulnerable to disordered-eating behaviors, attitudes, and associated comorbidities than their civilian peers.6,7 In addition to exposure to their parents’ eating- and weight-related behaviors and stress, aspects of being a military dependent may impact well-being8 and vulnerability to disordered-eating.6,7 Although data are mixed on the impact of frequent relocation on military dependents,9-11 parental deployment has been associated with emotional and behavioral problems in military children.12,13 No study has directly compared military adolescents to their civilian counterparts with regard to the prevalence of disordered-eating. However, one study found that among female adolescent military dependents, disordered-eating behaviors and attitudes were reported by 21% of the sample.7 In another study that compared female adolescent military dependents with overweight and obesity to their matched civilian counterparts, military dependents reported higher rates of disordered-eating behaviors and attitudes, as well as depression.6 Therefore, adolescent military dependents may be at high-risk for eating and weight problems and associated psychosocial characteristics, and for a more exacerbated presentation compared to civilians.
In contrast to consistent data among civilian samples showing that females are at higher risk for disordered-eating than males,14,15 in active duty military samples, men may be at equal or greater risk than women.1,16 Studies comparing civilian men and women with binge-eating disorder show few differences in symptom or comorbidity severity.17-19 However, limited research suggests that civilian women with anorexia nervosa and bulimia nervosa present with heightened eating pathology in comparison to their male counterparts.20 While among civilians, girls are at higher risk for disordered-eating than their male peers, 14,21,22 the data are mixed on whether there are sex differences in the presentation of disordered-eating among youth with eating and weight problems. 23-25 Some data suggest similar rates of symptom severity,24,25 while other research indicate that girls present with heightened disordered-eating pathology in comparison to boys.23 Given that most measures of disordered-eating have been developed for females, lower levels of disordered-eating reported among males compared to females, may be reflective of instrument development. Considering the lack of studies investigating disordered-eating attitudes not only among males, but also among military dependents of both sexes, understanding similarities and differences in presentation by sex warrants investigation.
We therefore examined disordered-eating attitudes and associated psychosocial characteristics, including depressive symptoms and difficulties with self-esteem and social functioning, that have been linked to eating disorders 26-28 and obesity 29-31 in a sample of male and female adolescent military dependents at high-risk for both outcomes. We hypothesized that despite common stressors in male and female adolescent military dependents, similar to the civilian population,32-34 girls would present with higher disordered-eating attitudes and associated distress than their male counterparts.
2. Material and methods
2.1. Participants
One-hundred-twenty-five male and female adolescent military dependents were studied. All were eligible for the Military Health System (TRICARE) due to a parent’s current or prior service, at high-risk for both eating disorders and adult obesity and were studied at a baseline visit prior to entry or randomization in an eating disorder and excess weight gain prevention trial (ClinicalTrials.gov ID#: NCT02671292). Potential participants were identified as high-risk based on a body mass index (BMI, kg/m2) ≥ 85th percentile35 and the endorsement of at least one episode of loss-of-control eating36 and/or elevated anxiety (≥ 32 on the State-Trait Anxiety Inventory for Children).37 Interested participants were screened over the phone to determine initial eligibility.
Recruitment efforts included referrals from physicians, flyer postings at various military hospitals and base facilities, local email listservs, online advertisements, base or local periodicals, in-person recruitment with kiosks/tables, and mailings to TRICARE-eligible families.
Due to the impact on eating and weight outcomes of the intervention trial, individuals were excluded if they had a chronic major medical illness, obesity-related medical complication, major psychiatric disorder (other than binge-eating disorder) that required treatment, weight loss during the past 3 months that exceeded 3% of body weight, or current use or recent discontinuation (within 3 months) of a medication that affected body weight or appetite. Youth taking medications (e.g., selective serotonin reuptake inhibitors (SSRIs), stimulants) were considered for inclusion if their dosage and weight had been stable for 3 months. Girls taking oral contraceptives were eligible if they had been taking the medication for at least 2 months and were weight stable. Adolescents were not included if they were involved in current psychotherapy or a structured weight loss program. Girls were excluded if breastfeeding or if currently or recently pregnant. Participants were compensated for their time and completion of study procedures. This study received approval from the Uniformed Services University of the Health Sciences and Fort Belvoir Community Hospital Institutional Review Boards.
2.2. Procedures
A baseline screening appointment was completed at either the Uniformed Services University of the Health Sciences/Walter Reed National Military Medical Center or Fort Belvoir Community Hospital, which are both located in the greater Washington DC metropolitan area. Written informed consent and assent for parents and adolescents, respectively, were obtained prior to initiation of study procedures. Adolescents underwent the following assessments:
2.2.1. Body Mass Index (BMI kg/m2)
Participants’ height (cm) and fasting weight (kg) were measured to calculate BMI. BMI-z score, accounting for age and sex, was calculated based on the Centers for Disease Control and Prevention standards of growth.38
2.2.2. Disordered-eating
The Eating Disorder Examination version 14,39 a semi-structured interview, was administered by trained research coordinators and graduate students to assess the presence of loss-of-control eating episodes in the past 3 months and disordered-eating attitudes. Disordered-eating attitudes were determined by the global score. Loss-of-control eating status was quantified by the presence of at least one episode in the past 3 months. Loss-of-control eating was considered as a covariate and the disordered-eating global score served as a dependent variable. The Eating Disorder Examination has shown good reliability and validity among youth.40,41 Cronbach’s alphas were: total sample (0.87), girls (.88), and boys (.86). Interrater reliability, assessed with ten (8%) randomly selected interviews revealed a Cohen’s kappa (for presence vs. absence of loss-of-control eating) of 1.00 (p <.01).
2.2.3. Psychological Functioning
2.2.3.1. Anxiety:
The State-Trait Anxiety Inventory for Children – A Trait Scale, a 20-item self-report scale, was used to determine anxiety symptoms.42 Scores range from 20-60, with higher scores indicating increased anxiety. Based on prior research,43 a score of ≥32 was used to determine elevated anxiety symptoms. This scale has shown good reliability and validity among adolescents.44 Cronbach’s alphas were: total sample (0.77), girls (.81), and boys (.66).
2.2.3.2. Self-Esteem:
The Rosenberg Self-Esteem Scale,45 a 10-item self-report scale, was used to measure participants’ self-esteem. Items are scored on a 4-point Likert-scale ranging from strongly agree [1] to strongly disagree [4], with lower scores indicating lower self-esteem. Scores range from 10-40. This scale has demonstrated strong reliability and validity.46 Cronbach’s alphas were: total sample (0.90), girls (.91), and boys (.86).
2.2.3.3. Social Adjustment:
The Social Adjustment Scale–Self Report,47 a 23-item scale, was utilized to assess social functioning in the following domains: school, friends, family, and dating, over the past two weeks. In line with prior studies,43,48 the dating subscale was excluded and a total score was used. Subscales range from 1-5, and higher scores reflected more social difficulties. This questionnaire has demonstrated good reliability and validity.49 Cronbach’s alphas were: total sample (0.83), girls (.78), and boys (.86).
2.2.3.4. Depressive Symptoms:
The Beck Depression Inventory-II,50 a 21–item self-report scale, was administered to assess depressive symptoms in the past 2 weeks. Scores range from 0-63, and higher scores indicated greater depressive symptoms. This measure has shown strong reliability and validity.51 Cronbach’s alphas were: total sample (0.85), girls (.86), and boys (.79).
2.3. Statistical Analysis
All analyses were completed with IBM SPSS Statistics 24.52 Data were screened for outliers and normality. As less than 10% of data were missing for any variable, and data were found to be missing completely at random, missing data were handled using case-wise deletion. Group differences were measured using analyses of covariance (ANCOVAs). Disordered-eating attitudes, self-esteem, social functioning, and depressive symptoms (average score) were compared by sex. Age, race (Non-White vs. White), ethnicity (Non-Hispanic vs. Hispanic), BMI-z score, loss-of-control eating presence, and anxiety were considered as covariates. For the four dependent variables, estimated marginal means and standard errors are provided. Differences were considered significant when p-values were ≤ 0.05, and all tests were two-tailed.
3. Results
Girls and boys did not differ significantly in race, ethnicity, BMI-z score, or loss-of-control eating presence. However, girls were significantly older and reported higher anxiety symptoms than boys. Therefore, only age and anxiety were included as covariates in all ANCOVA models. Descriptive characteristics are included in Table 1.
Table 1.
Total (N = 125) | Girls (n = 69) | Boys (n = 56) | p | |
---|---|---|---|---|
†Age, y | 14.46 (1.55) | 14.77 (1.56) | 14.07 (1.46) | .01 |
Race, % | .997 | |||
White | 56.1 | 57.1 | 54.9 | |
Black | 24.6 | 23.8 | 25.5 | |
More than one race | 12.3 | 12.7 | 11.8 | |
Asian | 3.5 | 3.2 | 3.9 | |
Other | 3.5 | 3.2 | 3.9 | |
Ethnicity, % | .55 | |||
Hispanic | 19.1 | 17.2 | 21.6 | |
BMI-z | 1.98 (0.43) | 2.00 (0. 39) | 1.96 (0.48) | .66 |
Anxiety Symptoms | 38.61 (5.92) | 39.71 (6.31) | 37.29 (5.15) | .023 |
Entry criteria presence, % | .366 | |||
Anxiety (only) | 41.9 | 42.5 | 37.9 | .083 |
Loss-of-control eating (only) | 6.5 | 4.1 | 10.3 | .157 |
Anxiety and loss-of-control eating | 51.6 | 53.4 | 51.7 | .442 |
Note. BMIz = Body mass index z-score;
Mean (Standard Deviation); p-value represents sex comparison. P values are reflective of sex comparisons based on t-tests for continuous variables and Fisher’s Exact tests for categorical variables.
Adjusting for age and anxiety, girls and boys did not differ significantly on the Eating Disorder Examination global score, self-esteem, or social functioning (see Table 2). By contrast, girls reported significantly higher depressive symptoms than boys, such that 5.6% of the variance in depressive symptoms was attributable to sex.
Table 2.
†Dependent Variable | N | Females (M, SE) |
Males (M, SE) |
F | df | p | ηp2 |
---|---|---|---|---|---|---|---|
Disordered-Eating | 124 | 1.32 (0.10) | 1.18 (0.11) | 0.79 | 1, 120 | .38 | .007 |
Self-Esteem | 113 | 28.41 (0.70) | 29.70 (0.79) | 1.43 | 1, 109 | .23 | .013 |
Social Functioning | 113 | 2.08 (0.06) | 1.97 (0.07) | 1.72 | 1, 109 | .19 | .015 |
Depression†† | 124 | 0.69 (0.04) | 0.49 (0.04) | 10.89 | 1, 120 | .001 | .083 |
Note. Adjusted for age and anxiety;
Estimated Marginal Means (Standard Errors);
Average score
4. Discussion
This study examined sex differences in disordered-eating attitudes and related psychosocial factors in adolescent military dependents at high-risk for eating disorders, particularly binge-eating disorder, and obesity. Male and female adolescent military dependents reported comparable levels of disordered-eating, similar to adults with binge-eating disorder and overweight or obesity,17-19 and there were no significant sex differences in social functioning and self-esteem. Girls, however, reported significantly higher levels of depression, even after accounting for anxiety.
Our finding of similar disordered-eating attitudes among girls and boys is consistent with some,24,25 but not all,23 samples of adolescent civilians. It is possible that unique military stressors, including exposure to their parents’ attitudes and behaviors in response to weight and shape requirements and other factors associated with their parents’ careers, may impact boys and girls equivalently. Given that males typically report lower disordered-eating than females,14,15 our findings may suggest that the males in our sample may be at higher risk for elevated disordered-eating attitudes in comparison to civilian boys. It should be underscored that while Eating Disorder Examination global scores were comparable to male and female youth with overweight or obesity who have experienced loss-of-control eating,53 they were below those of adults with eating disorders.54 This finding could be due to sample inclusion characteristics; youth were eligible due to reports of loss-of-control eating and/or elevated anxiety. Future research is required to elucidate whether boys and girls who are military dependents are at equal risk for exacerbated disordered-eating and increased weight trajectories.
The distinction of higher depressive symptoms among female military dependents may be explained by normative sex differences that occur during puberty. Among civilian samples, adolescent girls consistently report higher levels of depressive symptoms compared with boys.32 Hormonal differences between adolescent males and females that are linked to higher depression in girls55 may be more potent than cultural factors associated with being a military dependent at high-risk for eating and weight disorders. Furthermore, beginning at an early age, girls are socialized to experience, and likely report, more internalizing behaviors that are consistent with symptoms of depression.56,57 Interestingly, while similarities for social functioning between females and males in our sample are consistent with civilian youth,58 civilian adolescent boys generally report higher self-esteem compared to girls.33 Compared to published norms of healthy youth,33 boys in our sample reported slightly lower levels of self-esteem and girls reported somewhat higher scores. As there are no data examining sex differences in self-esteem among civilian youth at high-risk for disordered-eating and obesity, future study is needed to determine if this finding is specific to adolescent military dependents.
Study strengths include the use of measured height and weight, a relatively large and racially diverse sample of understudied military dependent girls and boys, and the use of a structured interview to assess disordered-eating attitudes. Given that our study examined sex differences in disordered-eating attitudes, it would have been beneficial to utilize a measure that was not primarily designed for females. However, the global Eating Disorder Examination score alpha for boys was comparable to girls, suggesting that the measure had good internal consistency for both sexes. Further, since loss-of-control eating was used as one inclusion criteria, this may have influenced the lack of sex differences in disordered-eating attitudes reported in our sample. Our sample was comprised of adolescent military dependents studied prior to an eating disorders and adult obesity prevention trial that involved exclusionary criteria that could influence intervention outcomes, thus, limiting generalizability of findings. Other limitations include the use of self-report measures of psychosocial variables and the lack of a healthy military dependent control group or a matched civilian adolescent sample. Future research should include these groups.
5. Conclusions
Both male and female adolescent military dependents at high-risk for eating disorders and adult obesity may present with similar levels of disordered-eating attitudes and associated psychosocial factors. Future studies should expand on these findings to discern military-specific factors that contribute to eating pathology and associated distress. Further, prospective data are needed to inform early intervention efforts.
Highlights:
Adolescent military dependents at high risk for adult obesity and eating disorders report similar levels of disordered eating attitudes.
Adolescent dependents at high risk for adult obesity and eating disorders report similar levels of social adjustment and self-esteem.
Female adolescent military dependents report higher symptoms of depression compared to their male counterparts.
Acknowledgments
Research Support: This work was supported by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) grant 1R01DK104115-01 to M. Tanofsky-Kraff, and the Intramural Research Program, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, grant ZIA-HD-00641 to J. Yanovski.
Footnotes
Declarations of Interest: None.
Disclaimer: D. Klein, A. Morettini, W. Leu, J. Quinlan, and J.A. Yanovski are Commissioned Officers in the United States Air Force, Navy, or Public Health Service (PHS). The opinions and assertions expressed herein are those of the authors and are not to be construed as reflecting the views of Air Force, Navy, PHS, USUHS, FBCH, or the U.S. Department of Defense.
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
References
- 1.McNulty PA. Prevalence and contributing factors of eating disorder behaviors in active duty Navy men. Mil Med. 1997;162(11):753–758. [PubMed] [Google Scholar]
- 2.McNulty PA. Prevalence and contributing factors of eating disorder behaviors in a population of female Navy nurses. Mil Med. 1997;162(10):703–706. [PubMed] [Google Scholar]
- 3.McNulty PA. Prevalence and contributing factors of eating disorder behaviors in active duty service women in the Army, Navy, Air Force, and Marines. Mil Med. 2001;166(1):53–58. [PubMed] [Google Scholar]
- 4.Mitchell KS, Porter B, Boyko EJ, Field AE. Longitudinal Associations Among Posttraumatic Stress Disorder, Disordered Eating, and Weight Gain in Military Men and Women. Am J Epidemiol. 2016;184(1):33–47. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Breland JY, Donalson R, Nevedal A, Dinh JV, Maguen S. Military experience can influence Women's eating habits. Appetite. 2017;118:161–167. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Schvey NA, Sbrocco T, Stephens M, et al. Comparison of overweight and obese military-dependent and civilian adolescent girls with loss-of-control eating. Int J Eat Disord. 2015;48(6):790–794. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Waasdorp CE, Caboot JB, Robinson CA, Abraham AA, Adelman WP. Screening military dependent adolescent females for disordered eating. Mil Med. 2007;172(9):962–967. [DOI] [PubMed] [Google Scholar]
- 8.Reed SC, Bell JF, Edwards TC. Adolescent well-being in Washington state military families. Am J Public Health. 2011;101(9):1676–1682. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Weber EG, Weber DK. Geographic relocation frequency, resilience, and military adolescent behavior. Mil Med. 2005;170(7):638–642. [DOI] [PubMed] [Google Scholar]
- 10.Kelley ML, Finkel LB, Ashby J. Geographic mobility, family, and maternal variables as related to the psychosocial adjustment of military children. Mil Med. 2003;168(12):1019–1024. [PubMed] [Google Scholar]
- 11.Shaw JA. Adolescents in the mobile military community. Adolescent Psychiatry. 1979;7:191–198. [Google Scholar]
- 12.Esposito-Smythers C, Wolff J, Lemmon KM, Bodzy M, Swenson RR, Spirito A. Military youth and the deployment cycle: emotional health consequences and recommendations for intervention. J Fam Psychol. 2011;25(4):497–507. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Lester P, Aralis H, Sinclair M, et al. The Impact of Deployment on Parental, Family and Child Adjustment in Military Families. Child Psychiatry Hum Dev. 2016;47(6):938–949. [DOI] [PubMed] [Google Scholar]
- 14.Bartholdy S, Allen K, Hodsoll J, et al. Identifying disordered eating behaviours in adolescents: how do parent and adolescent reports differ by sex and age? Eur Child Adolesc Psychiatry. 2017;26(6):691–701. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Lundahl A, Wahlstrom LC, Christ CC, Stoltenberg SF. Gender differences in the relationship between impulsivity and disordered eating behaviors and attitudes. Eat Behav. 2015;18:120–124. [DOI] [PubMed] [Google Scholar]
- 16.Carlton JR, Manos GH, Van Slyke JA. Anxiety and abnormal eating behaviors associated with cyclical readiness testing in a naval hospital active duty population. Mil Med. 2005;170(8):663–667. [DOI] [PubMed] [Google Scholar]
- 17.Tanofsky MB, Wilfley DE, Spurrell EB, Welch R, Brownell KD. Comparison of men and women with binge eating disorder. Int J Eat Disord. 1997;21(1):49–54. [DOI] [PubMed] [Google Scholar]
- 18.Lydecker JA, Grilo CM. Comparing men and women with binge-eating disorder and co-morbid obesity. Int J Eat Disord. 2018;51(5):411–417. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Udo T, McKee SA, White MA, Masheb RM, Barnes RD, Grilo CM. Sex differences in biopsychosocial correlates of binge eating disorder: a study of treatment-seeking obese adults in primary care setting. Gen Hosp Psychiatry. 2013;35(6):587–591. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Dahlgren CL, Stedal K, Ro O. Eating Disorder Examination Questionnaire (EDE-Q) and Clinical Impairment Assessment (CIA): clinical norms and functional impairment in male and female adults with eating disorders. Nord J Psychiatry. 2017;71(4):256–261. [DOI] [PubMed] [Google Scholar]
- 21.Micali N, Ploubidis G, De Stavola B, Simonoff E, Treasure J. Frequency and patterns of eating disorder symptoms in early adolescence. J Adolesc Health. 2014;54(5):574–581. [DOI] [PubMed] [Google Scholar]
- 22.Smink FR, van Hoeken D, Hoek HW. Epidemiology of eating disorders: incidence, prevalence and mortality rates. Curr Psychiatry Rep. 2012;14(4):406–414. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Kinasz K, Accurso EC, Kass AE, Le Grange D. Does Sex Matter in the Clinical Presentation of Eating Disorders in Youth? J Adolesc Health. 2016;58(4):410–416. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Strober M, Freeman R, Lampert C, Diamond J, Teplinsky C, DeAntonio M. Are there gender differences in core symptoms, temperament, and short-term prospective outcome in anorexia nervosa? Int J Eat Disord. 2006;39(7):570–575. [DOI] [PubMed] [Google Scholar]
- 25.Darcy AM, Doyle AC, Lock J, Peebles R, Doyle P, Le Grange D. The Eating Disorders Examination in adolescent males with anorexia nervosa: how does it compare to adolescent females? Int J Eat Disord. 2012;45(1):110–114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Grilo CM, White MA, Masheb RM. DSM-IV psychiatric disorder comorbidity and its correlates in binge eating disorder. Int J Eat Disord. 2009;42(3):228–234. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Hartmann A, Zeeck A, Barrett MS. Interpersonal problems in eating disorders. Int J Eat Disord. 2010;43(7):619–627. [DOI] [PubMed] [Google Scholar]
- 28.Kelly AC, Vimalakanthan K, Carter JC. Understanding the roles of self-esteem, self-compassion, and fear of self-compassion in eating disorder pathology: an examination of female students and eating disorder patients. Eat Behav. 2014;15(3):388–391. [DOI] [PubMed] [Google Scholar]
- 29.Harrist AW, Swindle TM, Hubbs-Tait L, Topham GL, Shriver LH, Page MC. The Social and Emotional Lives of Overweight, Obese, and Severely Obese Children. Child Dev. 2016;87(5):1564–1580. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Luppino FS, de Wit LM, Bouvy PF, et al. Overweight, obesity, and depression: a systematic review and meta-analysis of longitudinal studies. Arch Gen Psychiatry. 2010;67(3):220–229. [DOI] [PubMed] [Google Scholar]
- 31.Wang F, Wild TC, Kipp W, Kuhle S, Veugelers PJ. The influence of childhood obesity on the development of self-esteem. Health Rep. 2009;20(2):21–27. [PubMed] [Google Scholar]
- 32.Cyranowski JM, Frank E, Young E, Shear MK. Adolescent onset of the gender difference in lifetime rates of major depression: a theoretical model. Arch Gen Psychiatry. 2000;57(1):21–27. [DOI] [PubMed] [Google Scholar]
- 33.Moksnes UK, Espnes GA. Self-esteem and life satisfaction in adolescents-gender and age as potential moderators. Qual Life Res. 2013;22(10):2921–2928. [DOI] [PubMed] [Google Scholar]
- 34.Neumark-Sztainer D, Story M, Hannan PJ, Perry CL, Irving LM. Weight-related concerns and behaviors among overweight and nonoverweight adolescents: implications for preventing weight-related disorders. Arch Pediatr Adolesc Med. 2002;156(2):171–178. [DOI] [PubMed] [Google Scholar]
- 35.Field AE, Cook NR, Gillman MW. Weight status in childhood as a predictor of becoming overweight or hypertensive in early adulthood. Obes Res. 2005;13(1):163–169. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Tanofsky-Kraff M, Yanovski SZ, Schvey NA, Olsen CH, Gustafson J, Yanovski JA. A prospective study of loss of control eating for body weight gain in children at high risk for adult obesity. Int J Eat Disord. 2009;42(1):26–30. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Spielberger CD. Manual for the State-Trait Anxiety Inventory for Children. Palo Alto, CA: Consulting Psychologists Press; 1983. [Google Scholar]
- 38.Kuczmarski RJ, Ogden CL, Guo SS, et al. 2000 CDC Growth Charts for the United States: methods and development. Vital Health Stat 11. 2002(246):1–190. [PubMed] [Google Scholar]
- 39.Fairburn CG, Cooper Z. The Eating Disorder Examination In: Fairburn CG, Cooper Z, editors Binge Eating: Nature, Assessment and Treatment. 1993;12. [Google Scholar]
- 40.Glasofer DR, Tanofsky-Kraff M, Eddy KT, et al. Binge eating in overweight treatment-seeking adolescents. J Pediatr Psychol. 2007;32(1):95–105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Tanofsky-Kraff M, Shomaker LB, Wilfley DE, et al. Targeted prevention of excess weight gain and eating disorders in high-risk adolescent girls: a randomized controlled trial. Am J Clin Nutr. 2014;100(4):1010–1018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Spielberger G, Lushene, Vagg, & Jacobs. Manual for the State-Trait Anxiety Inventory. Palo Alto, CA: Consulting Psychologist Press; 1983. [Google Scholar]
- 43.Tanofsky-Kraff M, Shomaker LB, Wilfley DE, et al. Excess weight gain prevention in adolescents: Three-year outcome following a randomized controlled trial. J Consult Clin Psychol. 2017;85(3):218–227. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Muris P, Merckelbach H, Ollendick T, King N, Bogie N. Three traditional and three new childhood anxiety questionnaires: their reliability and validity in a normal adolescent sample. Behav Res Ther. 2002;40(7):753–772. [DOI] [PubMed] [Google Scholar]
- 45.Rosenberg M. Society and the adolescent self-image. Princeton university press; 2015. [Google Scholar]
- 46.Blascovich J, Tomaka J. Measures of self-esteem. Measures of personality and social psychological attitudes. 1991;1:115–160. [Google Scholar]
- 47.Weissman MM, Bothwell S. Assessment of social adjustment by patient self-report. Arch Gen Psychiatry. 1976;33(9):1111–1115. [DOI] [PubMed] [Google Scholar]
- 48.Tanofsky-Kraff M, Shomaker LB, Wilfley DE, et al. Targeted prevention of excess weight gain and eating disorders in high-risk adolescent girls: A randomized controlled trial. The American Journal of Clinical Nutrition. 2014;100(4):1010–1018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Gameroff MJ, Wickramaratne P, Weissman MM. Testing the Short and Screener versions of the Social Adjustment Scale-Self-report (SAS-SR). Int J Methods Psychiatr Res. 2012;21(1):52–65. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Beck AT, Steer RA, & Brown GK Manual for the Beck Depression Inventory-II. San Antonio, TX: Psychological Corporation; 1996. [Google Scholar]
- 51.Reynolds WM, Gould JW. A psychometric investigation of the standard and short form Beck Depression Inventory. J Consult Clin Psychol. 1981;49(2):306–307. [DOI] [PubMed] [Google Scholar]
- 52.Corp I. IBM SPSS Statistics for Windows, Version 24.0. Armonk, NY: IBM Corp; Released 2016. [Google Scholar]
- 53.Goldschmidt A, Wilfley DE, Eddy KT, et al. Overvaluation of shape and weight among overweight children and adolescents with loss of control eating. Behav Res Ther. 2011;49(10):682–688. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Grilo CM, Ivezaj V, White MA. Evaluation of the DSM-5 severity indicator for binge eating disorder in a clinical sample. Behav Res Ther. 2015;71:110–114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Martel MM, Klump K, Nigg JT, Breedlove SM, Sisk CL. Potential hormonal mechanisms of attention-deficit/hyperactivity disorder and major depressive disorder: a new perspective. Horm Behav. 2009;55(4):465–479. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Kort-Butler LA. Coping styles and sex differences in depressive symptoms and delinquent behavior. J Youth Adolesc. 2009;38(1):122–136. [DOI] [PubMed] [Google Scholar]
- 57.Compas BE, Orosan PG, Grant KE. Adolescent stress and coping: implications for psychopathology during adolescence. Journal of Adolescence. 1993;16(3):331–349. [DOI] [PubMed] [Google Scholar]
- 58.Miller KE. Adolescents' Same-Sex and Opposite-Sex Peer Relations:Sex Differences in Popularity, Perceived Social Competence, and Social Cognitive Skills. Journal of Adolescent Research. 1990;5(2):222–241. [Google Scholar]