Body shape expectations and self-ideal body shape discrepancy in women seeking bariatric surgery: a cross-sectional study
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Postoperative body shape expectations (BSE) of bariatric surgery candidates remain relatively unexplored, and may have important implications for weight loss outcomes, treatment satisfaction, and education. METHODS: The 'Silhouette Figure Rating Scale' was administered to 69 consecutive female candidates. Self-perceived current and goal body shape and postoperative BSE in four categories; "dream, "happy", "acceptable", and "disappointed" were examined. RESULTS: The mean age and BMI of the sample was 43.4 ± 8.9 years and 48.8 ± 7.0 kg/m(2). Self-ideal body shape discrepancy of 4.1 ± 1.3 silhouettes was reported, indicating body image dissatisfaction. 53% incorrectly identified the silhouette associated with their actual BMI. Goal body shape (4.3 ± 0.8 silhouettes) corresponded to a BMI figure 23.1 kg/m(2)- 26.2 kg/m(2). The postoperative "dream" (4.1 ± 1.0 silhouettes), "happy" (5.0 ± 0.8 silhouettes), "acceptable" (5.3 ± 1.0 silhouettes), and "disappointed" (6.9 ± 1.0 silhouettes) BSE corresponded to silhouettes that were thinner than the thinnest silhouette clinically expected based on a 56.1% excess weight loss 1-year after laparoscopic sleeve gastrectomy (LSG) or a 22.3% to 47.2% total body weight loss. CONCLUSIONS: Women seeking bariatric surgery experience body image dissatisfaction and misperceive their actual body size. BSE do not correspond with evidence-based LSG weight loss outcomes.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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