Association of a healthy lifestyle with mortality risk among individuals with osteoarthritis: a prospective cohort study of the UK Biobank
Bibliographic record
Abstract
Background Osteoarthritis is common and often coexists with other chronic conditions, which may contribute to increased all-cause mortality. Maintaining a healthy lifestyle contributes to increased longevity; however, considering physical functions and physiological conditions of patients with osteoarthritis differ from the general population, the impact of maintaining a healthy lifestyle in these patients remains uncertain, which poses a challenge to implementing-related interventions in this population. This study aims to examine the association between healthy lifestyle factors and mortality in individuals with osteoarthritis. Methods This cohort study enrolled 52 973 participants from the UK Biobank who met the criteria for osteoarthritis as defined via hospitalisation or primary care records. Seven lifestyle factors, consisting of smoking, alcohol intake, physical activity, diet, television watching time, sleep duration and social connection, were included. HRs (with 95% CIs) for total and cause-specific mortality were estimated by Cox proportional hazards regression models. Results A total of 4637 deaths were recorded during the follow-up period. Seven healthy lifestyle factors were all independently associated with a low mortality risk. When compared with participants meeting only 0–2 healthy lifestyle criteria, the adjusted HRs (95% CI) for those adhering to 3–7 factors were 0.70 (0.62 to 0.78), 0.60 (0.54 to 0.67), 0.49 (0.44 to 0.54), 0.46 (0.41 to 0.52) and 0.42 (0.36 to 0.49), respectively ( p for trend <0.001). A dose-response pattern was also observed for mortality from cancer, cardiovascular, respiratory and digestive diseases (all p for trend <0.001), whereas no significant trend emerged for mortality due to neurodegenerative diseases. Conclusions Adherence to a greater number of healthy lifestyle factors was associated with a significantly lower risk of mortality among individuals with osteoarthritis. Our findings hold important public health implications and provide empirical evidence that adhering to a healthy lifestyle could mitigate the burdens caused by osteoarthritis.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".