Association between binge eating and physical violence perpetration among U.S. college students
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: To date, no known research has explored the link between binge eating and physical violence perpetration despite overlapping psychological constructs that underpin these behaviors (i.e., emotion regulation difficulties, impulsivity). Therefore, this study aimed to determine the association between binge eating and self-reported physical violence perpetration. METHODS: Cross-sectional data from four survey years (2016-2020) of the national (U.S.) Healthy Minds Study (N = 6210) were analyzed. Unadjusted (Independent samples t test) and adjusted (logistic regression) analyses were conducted to determine the associations between binge eating in the past four weeks and violence perpetration in the past 12 months, while adjusting for potential confounders. RESULTS: The unadjusted mean number of days of binge eating was significantly higher among participants who reported physical violence perpetration (M = 2.6, SD = 5.2) compared to those who did not (M = 1.8, SD = 3.7). Logistic regression analysis demonstrated that each additional day of binge eating was associated with 5% higher odds (95% confidence interval 1.02-1.09) of self-reported physical violence perpetration, while adjusting for potential confounders. CONCLUSIONS: Results from this study are the first known to identify an association between binge eating and physical violence perpetration among U.S. college students. Findings are supported by the potential mechanistic overlap of emotion regulation and impulsivity associated with both binge eating and violence perpetration, underscoring the need for more research.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it