Ethnic differences in weight loss during a clinical obesity management program
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
Summary To examine ethnic differences in how individuals respond to obesity management therapies, a retrospective chart review of the Wharton Medical Weight Management Clinic electronic medical records was used ( n = 21 709; 14 695 patients with weight loss data). South and East Asian, Middle Eastern and Other ethnicities had a significantly lower body mass index (BMI) at enrollment than White adults (39.7 vs. 35.4–38.7 kg/m 2 ), with higher or similar BMIs in Indigenous and Black adults (39.9–42.2 kg/m 2 ). Whites, East Asians and Other Ethnicities had the greatest weight loss (4.3–4.9 kg), while Blacks (3.3 kg), Latin (3.0 kg), Middle Eastern (2.7 kg), and South Asians (3.5 kg) lost significantly less weight as compared to Whites (4.9 kg) ( p < .05). There were also weight loss differences between Black sub‐groups. African American females lost the least weight (1.4 kg), while West Indian Black females lost much more weight (4.3 kg, p = .01). African American males also lost the least amount of weight (0.9 kg), while African Black males lost the most (7.4 kg, p = 0.01). There are differences in the weight loss achieved during a clinical obesity management program between individuals of various ethnicities.
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 | 0.010 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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