Prevalence and Perceptions Regarding Obesity, Body Image and Weight Reducing Practices among College Girls of Mumbai, India
Why this work is in the frame
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Bibliographic record
Abstract
Background: To assess the perceptions of young college going girls regarding obesity, body image and weight reducing practices in Mumbai. Objective: To study the prevalence of obesity by anthropometry and to obtain an insight on weight perceptions and compare it with actual weight. Subjects and Methods: Cross-sectional Settings and participants: 708 Urban college going girls, age between 17-20 years residing in Mumbai were selected on their willingness to cooperate for the study. Results: Prevalence of overweight by standard weight for height and BMI (>23) was 13.6% and that of obese was 15.3%. There was a distinct difference between actual and perceived weight status. Conclusion: Strange weight control practices adopted by the girls, is an alarming sign which needs further action.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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