Difference in weight loss based on ethnicity, age and comorbidity status in a publicly funded adult weight management centre: 1‐year results
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
Limited evidence is available on the effectiveness of publicly funded weight loss (WL) clinics. We examined the 1-year WL outcomes and investigated predictors of WL and discontinuation of 1566 overweight and obese adults, who attended the Wharton Medical Clinic (WMC) weight management centre for at least 6 months. Overall, 42.7% (n = 669) of the entire sample achieved a ≥5%WL over the entire follow-up period from July 2008 to February 2012. On average, patients lost 5.6 ± 7.2 kg (5.0 ± 6.3%) of initial body weight (BW), while a subsample of patients attending the clinic for at least 1 year had a mean weight reduction of 6.6 ± 7.9 kg (5.9 ± 7.2%) of BW. Older patients were more likely to achieve a greater WL in comparison with young patients while White patients and those without type 2 diabetes (T2D) lost almost twice as much weight and %BW in comparison with Asian patients and patients with T2D, respectively (P < 0.05). Discontinuing patients did not differ in terms of sex, body mass index, education and smoking status from those who continued treatment (P > 0.05). Results of this study demonstrate that the WMC provides a practical model for clinically effective lifestyle-based treatment, accessible to a wide range of demographically diverse adults.
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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.003 |
| 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