Eating Disorders and Depression in Adolescents: The Impact of Socioeconomic Factors, Family and Peer Relations
Bibliographic record
Abstract
This paper analyses the relation between socioeconomic characteristics, family and peer relations, depression and eating disorders with 218 (144 female, 66.1%) participants aged 14-19 from Croatia. The questionnaire encompassed questions on socioeconomic traits, family and peer relations, depression and anorexia, bulimia, binge eating and orthorexia. Girls reported most dissatisfaction with the abdominal region (38.5%), thighs (31.2%) and breasts (16.1%). Boys reported most dissatisfaction with the abdomen (12.4%), chest (10.1%) and legs/calves (7.3%). Gender was significant for depression (p<.001), anorexia (p<.01), bulimia (p<.001) and binge eating (p<.05), with girls scoring higher on all scales. Age was significant for depression (p<.05) in younger participants, and orthorexia (p<.05) for older adolescents. Participants from vocational schools reported significantly higher family life satisfaction (p<.01), while gymnasium students reported significantly higher depression (p<.000), bulimia (p<.01) and binge eating behaviour (p<.01). Higher mother’s educational level was significant for anorexia (p<.05) and orthorexia (p<.01). Family relations correlated negatively with bulimia and binge eating, but positively with orthorexia. Peer relations were not significant for eating disorders. Eating disorders show positively correlated comorbidity (p<.000), and were significantly correlated to depression (p<.000). Anorexia is best predicted by bulimia (p<.001), orthorexia (p<.001), depression (p<.01) and mother’s education (p<.01). Bulimia is strongly predicted by anorexia (p<.001), binge eating (p<.001), depression (p<.001) and gender (p<.001). Binge eating is strongly predicted by bulimia (p<.001), depression (p<.01) and school type (p<.05). Orthorexia is strongly predicted by anorexia (p<.001), family relations quality (p<.05), the mother’s education (p<.05) and school success (p<.05).
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".