Associations Between Self‐Reported Weight History and Sarcopenic Obesity in Adults with Knee Osteoarthritis
Bibliographic record
Abstract
Objective The purpose of this study was to examine associations between self‐reported weight history and sarcopenic obesity in adults with advanced knee osteoarthritis (OA). Methods Self‐reported weight history was collected from n = 151 adults (58.9% female) with knee OA and BMI ≥30 kg/m 2 in a cross‐sectional study. Body composition was assessed using dual‐energy x‐ray absorptiometry. Sarcopenic obesity was defined as appendicular skeletal muscle mass, adjusted by BMI, <0.51 kg/m 2 in females and <0.79 kg/m 2 in males; prevalence was 27.2%. Weight gain in the preceding year, weight gain ≥5% of body weight in the past decade, and multiple weight cycling events in life‐span (loss of ≥10 lb [4.5 kg] with regain ≥3 times) were examined using logistic regression (adjusted by age, sex, and %fat mass), with the dependent variable of sarcopenic obesity presence. Results Weight gain in the preceding year was associated with sarcopenic obesity (odds ratio [OR]: 2.45, 95% CI: 1.02‐5.87). No associations were found with weight gain in the past decade (OR: 1.04, 95% CI: 0.43‐2.5) or weight cycling (OR: 0.86, 95% CI: 0.37‐2.01). Conclusions In adults with obesity and advanced knee OA, self‐reported weight gain in the preceding year was associated with sarcopenic obesity. This patient population may benefit from recommendations that prioritize prevention of weight gain.
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How this classification was reachedexpand
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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".