Modifiable Lifestyle Factors, Genetic Susceptibility, and Incident Radiographic Axial Spondyloarthritis
Bibliographic record
Abstract
OBJECTIVE: To evaluate modifiable lifestyle-genetic susceptibility interactions with the risk of developing radiographic axial spondyloarthritis (r-axSpA). METHODS: This study included 382,035 individuals without r-axSpA at baseline in the UK Biobank. A combined lifestyle score consisting of 6 factors and a polygenic risk score (PRS) using r-axSpA-associated genetic loci was constructed for each participant. Participants were further classified into 3 categories (unfavorable, intermediate, or favorable lifestyle) based on their score. Cox proportional hazards regression models were applied to evaluate the associations of lifestyle and PRS with risk of developing r-axSpA. Moreover, the association between lifestyle score and r-axSpA mediated by systemic inflammation was estimated. RESULTS: During a median follow-up period of 13.57 years, 694 patients with r-axSpA were diagnosed. With unfavorable lifestyle as the reference group, intermediate lifestyle (hazard ratio [HR] 0.67, 95% CI 0.57-0.80) and favorable lifestyle (HR 0.62, 95% CI 0.49-0.78) were associated with a decreased risk of developing r-axSpA. For the combined effect of lifestyle and PRS, participants with unfavorable lifestyle and high genetic risk had the highest risk of developing r-axSpA (HR 2.18, 95% CI 1.47-3.23) compared to those with favorable lifestyle and low genetic risk. However, no evidence of addictive and multiplicative interaction was observed. Further, mediation analyses revealed that the inverse association between healthy lifestyle score and the risk of developing r-axSpA was in part mediated by systemic inflammation, which ranged from 0.20% for neutrophil-to-high-density lipoprotein cholesterol ratio to 10.29% for C-reactive protein. CONCLUSION: Our study suggested that adherence to a favorable lifestyle significantly reduced the risk of developing r-axSpA by attenuating the systemic inflammatory response, which was independent of genetic susceptibility to r-axSpA.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.002 | 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".