| Title: | Association of walking volume and intensity with incident gout: a population-based cohort study |
| Journal: | American Journal of Epidemiology |
| Published: | 20 May 2025 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/40407230/ |
| DOI: | https://doi.org/10.1093/aje/kwaf109 |
Publication 15301
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Abstract
Previous studies have reported that walking is associated with a lower risk of several metabolic diseases; however, evidence of its association with gout, a metabolic condition, is lacking. We conducted cohort studies using data from the UK Biobank (2013-2021) to examine the relationship of walking volume and intensity with the risk of incident gout. We included 92 066 participants who were free of gout and had valid baseline seven-day accelerometer data, which allowed us to derive walking volume (total steps), walking intensity (peak 30-minute cadence), and their combination (purposeful steps). Hazard ratios (HRs) for incident gout were estimated across different walking activity metrics groups using Cox proportional hazard models. During a mean follow-up period of 6.93 years, 706 participants developed incident gout. Walking volume and intensity alone showed no significant relationship to the risk of incident gout. However, compared with the low group (<5000 steps/day) of purposeful steps, the risk of incident gout was lower in the middle group (5000-7999 steps/day) and high (≥8000 steps/day) group, with adjusted HRs and 95% confidence intervals of 0.78 (0.66-0.94) and 0.72 (0.58-0.90), respectively (P for trend = 0.003). These findings offer valuable insights into developing walking-based recommendations to prevent incident gout.</p>
14 Keywords
- Accelerometry
- Adult
- Aged
- Cohort Studies
- Female
- Gout
- Humans
- Incidence
- Male
- Middle Aged
- Proportional Hazards Models
- Risk Factors
- United Kingdom
- Walking
10 Authors
- Ziying Wu
- Ying Hu
- Hongyi He
- Yuqing Zhang
- Nicola Dalbeth
- Junqing Xie
- Yilun Wang
- Chao Zeng
- Guanghua Lei
- Jie Wei
1 Application
| Application ID | Title |
|---|---|
| 77646 | Identification of genetic and environmental factors involved in the aetiology of rheumatic and musculoskeletal diseases |
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