Impact of obesity on disability, function, and physical activity: data from the Osteoarthritis Initiative
Bibliographic record
Abstract
OBJECTIVES: Older adults with obesity are at risk for osteoarthritis (OA) and are predisposed to functional decline and disability. We examined the association between obesity and disability, physical activity, and quality of life at 6 years. METHOD: Using data from the longitudinal Osteoarthritis Initiative (OAI), we analysed older adults (age ≥ 60 years) with a body mass index (BMI) at baseline ≥ 18.5 kg/m(2) (n = 2378) using standard BMI categories. Outcomes were assessed at the 6-year follow-up and included: the Late-Life Function and Disability Index (LLDI), the 12-item Short Form Health Survey (SF-12), and the Physical Activity Scale for the Elderly (PASE). Linear regression predicted outcomes based on BMI category, adjusting for age, sex, race, education, smoking, cohort status, radiographic knee OA, co-morbidity scores, and baseline scores when available. RESULTS: Follow-up data were available for 1727 (71.9%) participants (mean age 67.9 ± 5.3 years; 61.6% female). At baseline, obese subjects compared to overweight and normal were on a greater number of medications (4.28 vs. 3.63 vs. 3.32), had lower gait speeds (1.22 vs. 1.32 vs. 1.36 m/s), higher Charlson scores (0.59 vs. 0.37 vs. 0.30), and higher Western Ontario and McMaster University OA Index (WOMAC) scores (right: 14.8 vs. 10.3 vs. 7.5; left: 14.4 vs. 9.9 vs. 7.5). SF-12 scores at 6 years were lower in obese patients than in overweight or normal [99.5 (95% CI 98.7-100.4) vs. 101.1 (95% CI 100.4-101.8) vs. 102.8 (95% CI 101.8-103.8)], as were PASE scores [115.1 (95% CI 110.3-119.8) vs. 126.2 (95% CI 122.2-130.2) vs. 131.4 (95% CI 125.8-137.0)]. The LLDI limitation component demonstrated differences in obese compared to overweight or normal [78.6 (95% CI 77.4-79.9) vs. 81.2 (95% CI 80.2-82.3) vs. 82.5 (95% CI 81.1-84.0)]. CONCLUSIONS: Obesity was associated with worse physical activity scores, lower quality of life, and higher risk of 6-year disability.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".