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Prevalence and risk and protective factors related to disordered eating behaviors among adolescents: relationship to gender and ethnicity
Abstract
Purpose To examine the current prevalence of disordered eating behaviors in a large sample of adolescents, by gender and ethnicity, and to identify gender and ethnic-specific risk and protective factors.Methods The study population included 81,247 9th- and 12th-graders who completed the 1998 Minnesota Student Survey, a self-report, school-based survey which included questions about disordered eating behaviors and a variety of psychosocial characteristics.Results Fifty-six percent of 9th-grade females and 28% of 9th-grade males report disordered eating behaviors (i.e. one or more of the following to lose or control weight: fasting or skipping meals, diet pills, vomiting, laxatives or smoking cigarettes; and binge-eating), with slightly higher rates among 12th-grade females and males, 57% and 31%, respectively. Among both genders, Hispanic and American Indian youth reported the highest prevalence of disordered eating. Risk factors for disordered eating among both males and females included cigarette smoking, appearance concerns, and alcohol use. Protective factors for both males and females were positive self-esteem, emotional well-being, school achievement, and family connectedness. While risk and protective factors were similar across gender, they differed across ethnicity particularly among females.Conclusions Health professionals working with youth need to be aware of the high prevalence of these subclinical disordered eating behaviors, ask appropriate screening questions, and provide resources and referral, if necessary, for youth reporting these behaviors. Knowledge of risk and protective factors can serve to guide intervention and prevention efforts, particularly as they apply across ethnicity.
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“Before pandemic, ~85% of adolescents were unhappy with their body (Ricciardelli and McCabe, 2001), and 50–60% reported “disturbed eating behaviors” (e.g., fasting, taking diet pills or laxatives, vomiting, and binge eating) (Croll et al., 2002; Quick and Byrd-Bredbenner, 2013).”
From Eating Disorders Spectrum During the COVID Pandemic: A Systematic Review (2021) · cites this paper as Croll et al., 2002
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Metadata
- Authors
- CROLL, J., NEUMARKSZTAINER, D., STORY, M., & IRELAND, M.
- Affiliations
- University of Minnesota (US)
- Corresponding author
- CROLL, J
- Venue
- Journal of Adolescent Health
- Publisher
- Elsevier BV
- Published
- 2002-08
- Volume
- 31
- Issue
- 2
- Pages
- 166-175
- ISSN
- 1054-139X (ISSN-L)
- OpenAlex
- W2057211341
- Cited by
- 601
- References
- 45
- Citations by year
- 2026: 8 · 2025: 16 · 2024: 18 · 2023: 18 · 2022: 21 · 2021: 24 · 2020: 37 · 2019: 32 · 2018: 32 · 2017: 25 · 2016: 19 · 2015: 30 · 2014: 32 · 2013: 43 · 2012: 34
- FWCI
- 17.67
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Adolescent Health (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Eating Disorders and Behaviors
- Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Keywords
- disordered eating, adolescents, prevalence, gender differences, ethnicity, Latino youth, Native American youth, risk factors, protective factors, binge eating, weight control behaviors, appearance concerns, cigarette smoking, alcohol consumption, self-esteem, emotional well-being, family connectedness, academic performance, eating disorder screening
- MeSH terms
- Adolescent, Adolescent Behavior, Feeding and Eating Disorders, Female, Humans, Life Style, Male, Minnesota, Risk Factors, Risk-Taking, Sex Factors, Students, Prevalence, Behavioral Risk Factor Surveillance System
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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