Triggers for eating disorder onset in youth with anorexia nervosa across the weight spectrum.
Jessica A LinGrace JheRicha AdhikariJulia A VitaglianoKelsey L RoseMelissa FreizingerTracy K RichmondPublished in: Eating disorders (2023)
To aid in more targeted eating disorder (ED) prevention efforts, we sought to identify sociodemographic and weight-related risk factors for identified triggers for the onset of anorexia nervosa (AN) in youth. We conducted a retrospective chart review of youth admitted for medical treatment of AN between January 2015 and February 2020. From multidisciplinary admission notes, we extracted patient-reported reasons for diet/exercise changes. We used qualitative thematic analysis to identify ED triggers, then categorized each trigger as binary variables (presence/absence) for logistic regression analysis of risks associated with each trigger. Of 150 patients, mean (SD) age was 14.1(2.3) years. A total of 129 (86%) were female and 120 (80%) were Non-Hispanic White. Triggers included environmental stressors (reported by 30%), external pressures of the thin/fit ideal (29%), internalized thin/fit ideal (29%), weight-related teasing (19%), and receiving health education (14%). Younger age was associated with higher odds of weight-related teasing ( p = .04) and health education ( p = .03). Males had greater odds of internalized thin/fit ideal than females ( p = .04). Those with premorbid body mass indices ≥85 th percentile for age and sex had greater odds of reporting positive reinforcement ( p = .03) and weight-related teasing ( p = .04) than those with weights <85 th percentile. We use these findings to detail potential targets for advancing ED prevention efforts.
Keyphrases
- physical activity
- weight loss
- anorexia nervosa
- emergency department
- healthcare
- mental health
- body mass index
- patient reported
- human health
- weight gain
- quality improvement
- public health
- young adults
- body weight
- newly diagnosed
- ejection fraction
- end stage renal disease
- systematic review
- drug delivery
- chronic kidney disease
- risk assessment
- african american
- data analysis