Association between body weight fluctuation and progression of radiographic knee osteoarthritis: a longitudinal cohort study
Bibliographic record
Abstract
OBJECTIVES: To investigate the relationship between body weight fluctuation and the progression of knee pain and joint space loss () in people with radiographic knee osteoarthritis (RKOA) during a 48-month follow-up period. DESIGN: We conducted a longitudinal study using data from the Osteoarthritis Initiative. We analysed body weight variability through metrics of average successive variability (ASV), and residual ASV from baseline to 48 months. We assessed the impact of the fluctuations on changes in the Western Ontario and McMaster Universities Osteoarthritis Index pain scores and JSL, defined as a decrease of ≥0.7 mm in medial joint space width (JSW), using generalised estimating equations to account for correlation within-person and adjusted for covariates. RESULTS: A total of 2993 and 2789 knees from 2051 participants were included in the pain and JSW analyses, respectively. Higher body weight variability correlated with increased knee pain but not JSL. Participants with high variability (ASV ≥2.07 kg) had a greater OR of aggravated knee pain (OR: 1.24, 95% CI: 1.01 to 1.51, MD: 0.30, 95% CI: 0.05 to 0.54), particularly among initially overweight or obese individuals (OR: 1.30, 95% CI: 1.05 to 1.62, MD: 0.35, 95% CI: 0.08 to 0.62) and those who gained over 3% body weight (OR: 1.54, 95% CI: 1.01 to 2.33, MD: 0.65, 95% CI: 0.16 to 1.14). CONCLUSIONS: Body weight fluctuations are a potential risk factor for symptom progression in RKOA, especially among overweight/obese individuals or those who gain weight. Maintaining a stable body weight may help alleviate the progression of symptoms related to knee osteoarthritis.
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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 | 0.001 | 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".