Sexual Assault Victimization and Eating Disorders Among College-enrolled Men
Bibliographic record
Abstract
Sexual assault victimization and eating disorder rates are high among college populations and have significant psychological, physiological, and social outcomes. Previous research has found a positive relationship between experiences of sexual assault and eating disorder symptoms; however, these analyses have primarily focused on female students. Using data from the 2017-2018 Healthy Minds Study, the aim of this study was to investigate the relationship between experiencing a sexual assault within the previous 12 months and screening positive for an eating disorder among cisgender college-enrolled men. It was hypothesized that college-enrolled men who report experiencing a sexual assault within the previous 12 months would be more likely to screen positive for an eating disorder. Analyses were conducted using a sample of 14,964 cisgender college-enrolled men. Among the sample, nearly 4% reported a sexual assault within the previous 12 months and nearly 16% screened positive for an eating disorder. Results from logistic regression analyses indicated that college-enrolled men who reported experiencing a sexual assault in the previous 12 months, compared to those who did not, had significantly greater odds of screening positive for an eating disorder (OR = 1.40, p < .01). Analyses also indicated that college-enrolled men who identified as gay, queer, questioning, or other sexual orientation and reported experiencing a sexual assault in the previous 12 months had greater odds of screening positive for an eating disorder (OR = 2.50, p < .001) compared to their heterosexual peers who did not experience a sexual assault in the previous 12 months. These results indicate that eating disorders may be a negative outcome among college-enrolled men who have experienced a sexual assault, particularly among sexual minority men. Thus, mental health professionals need to be adequately prepared to treat the underserved population of men who experience an eating disorder and who have experienced sexual assault.
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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 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".