Self-objectification and eating disorder pathology in an ethnically diverse sample of adult women: cross-sectional and short-term longitudinal associations
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Extensive support exists for objectification theory's original aim of explaining patterns of women's mental health risk through a sociocultural lens. One pathway in objectification theory proposes a mediational role of body shame in the relationship between self-objectification and eating disorder (ED) pathology. Robust past cross-sectional research supports this proposed pathway, but largely in non-Hispanic Caucasian, college-aged samples; this pathway has yet to be empirically demonstrated longitudinally. Given previously documented concerns regarding direct measurement of body shame, we tested two measures of body shame as mediators in both cross-sectional and longitudinal models in a diverse sample of adult women. METHOD: Utilizing snowball sampling via email, we recruited age and racially/ethnically diverse women predominantly within the United States. Participants completed online surveys assessing self-objectification (operationalized as body surveillance), body shame, and ED pathology at baseline, 3-months and 6-months. RESULTS: = 181) adult women completed the measures. Cross-sectional moderated mediation models indicated that racial/ethnic status did not moderate relationships, and that body shame significantly mediated the relation between body surveillance and ED pathology at each time point. The longitudinal model, analyzed using cross-lagged panel analyses, was nonsignificant, as body surveillance failed to predict future body shame when controlling for past body shame. CONCLUSIONS: Racial/ethnic status did not moderate relations at any time point. Cross-sectional findings replicated past research; the longitudinal model did not support a core mediation pathway linking self-objectification to ED pathology through body shame. Because self-objectification putatively develops earlier in life, future research also should examine these relations in younger diverse samples over a longer time period.
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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 | 0.000 | 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) | 0.000 | 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