Disordered eating in ethnic minority adolescents with overweight
Bibliographic record
Abstract
High rates of disordered eating exist among adolescents with overweight and among ethnic/racial minority adolescents. Given the lack of research examining how eating disorder risk is moderated by both overweight and ethnicity/race, this study aimed to explore interactions between ethnicity/race and overweight status on disordered eating behaviors in a population-based adolescent sample. Cross-sectional data from adolescents (n = 2,271; 52% females) of White (23%), Black (34%), Hispanic (20%), and Asian (23%; 82% Hmong) ethnicity/race participating in the EAT 2010 study were used to examine associations between overweight status and disordered eating behaviors across ethnic/racial groups. Disordered eating behaviors occurred more frequently among adolescents with overweight compared with those without overweight across all ethnic/racial groups. Although some differences in the prevalence of disordered eating were found by ethnicity/race, particularly in girls, no consistent patterns of interaction emerged. Overweight White and Hispanic girls reported the highest risk for dieting, while the highest risk for unhealthy weight control behaviors was among overweight Black girls, and for overeating among overweight White and Asian girls. Within a society in which thinness is highly valued and being overweight is stigmatized, across diverse cultural groups, adolescents with overweight are at risk for disordered eating.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".