Disordered Eating in Jewish Adolescent Girls
Bibliographic record
Abstract
OBJECTIVES: To examine the presence and nature of disordered eating attitudes and behaviours among Jewish Canadian adolescents, as compared with non-Jewish Canadian adolescents in an urban community. A secondary goal was to examine whether rates of eating-disordered behaviour differed among the adolescents based on the degree of Jewish religious observance. METHOD: High school students (n = 868) from the Toronto area completed a demographic and religious practice questionnaire together with the Eating Attitudes Test (EAT), a self-report test that discriminated adolescents with syndromal eating disorders from normal adolescents. RESULTS: Jewish females aged 13 to 20 years, but not males, reported significantly more disordered eating behaviours and attitudes, compared with their non-Jewish female counterparts. Twenty-five percent of Jewish females, as compared with 18% of non-Jewish females, scored above the clinical cut-off for the EAT. No differences in vulnerability to disordered eating were found within the group of Jewish females or males related to their degree of religious observance. CONCLUSIONS: Adolescent Jewish females, but not males, appear to be at greater risk for abnormal attitudes and behaviours related to eating, compared with their non-Jewish female peers. While the reasons for this finding are unclear, this study is a step toward improving understanding of the relations between sex, culture, religion, and the development of eating disorders. Culturally sensitive and sex-specific prevention strategies and treatment interventions are indicated.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".