Does suppressing weight improve body satisfaction? A longitudinal analysis in undergraduate men and women
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
Young adults with high body dissatisfaction may engage in disordered eating to reduce their weight, believing that weight loss will improve body satisfaction. Yet, limited research has examined whether suppressing weight contributes to improved body satisfaction in nonclinical samples. Undergraduate students (N = 661; 81.2% female) completed three surveys over a six-month period. Longitudinal mixed-effect models investigated whether weight suppression was associated with change in body dissatisfaction. Body dissatisfaction was higher on average among women, and greater weight suppression was associated with greater body dissatisfaction across genders. Among women, higher baseline weight suppression was related to higher body dissatisfaction across time; however, neither baseline weight suppression nor change in weight suppression were associated with change in body dissatisfaction. Among men, higher baseline weight suppression was related to increased body dissatisfaction over time. However, greater increases in weight suppression were associated with improvements in body dissatisfaction. Thus, the impact of weight suppression on body image outcomes may differ by gender. Findings suggest that when men become more weight suppressed, their body dissatisfaction decreases; however, changes in weight may not impact body dissatisfaction in women. Findings may inform educational programs challenging diet and weight loss myths, particularly for women.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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