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Published on: May 16, 2025
Association between weather conditions and rheumatoid arthritis: A systematic review and meta-analysis
Chao Hu1, Jingyi Wu1, Yuanyuan Luo1
1School of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Objectives:
Weather conditions have been suggested to influence the clinical manifestations of rheumatoid arthritis (RA), but current evidence remains inconsistent. This meta-analysis aimed to evaluate the association between meteorological factors and RA disease activity.
Methods:
PubMed, Web of Science, EMBASE, and the Cochrane Library were searched from inception to March 25, 2025. Two reviewers independently screened and extracted data according to predefined criteria. A random-effects model was used to pool results. Meta-regression analyses were performed to explore potential sources of heterogeneity across studies. Publication bias was assessed using Egger's test, Begg's test, and funnel plots. Sensitivity analyses were conducted using a leave-one-out approach to examine the impact of each individual study on the pooled estimates.
Results:
A total of 16,503 records were identified through the literature search, of which eight studies met the inclusion criteria and were included in the meta-analysis. The pooled results indicated no significant overall association between temperature, atmospheric pressure, humidity, or wind speed and RA pain. In addition, temperature was negatively correlated with TJC (pooled Fisher's Z = -0.08, 95 % CI -0.151 to -0.009, P = 0.028 < 0.05, summary r = -0.080, 95 % CI -0.150 to -0.009), and atmospheric pressure was negatively correlated with SJC (pooled Fisher's Z = -0.075, 95 % CI -0.115 to -0.036, P < 0.001, summary r = -0.075, 95 % CI -0.114 to -0.036), both with low heterogeneity. No other significant associations were observed.
Conclusions:
Specific meteorological factors, temperature and atmospheric pressure, may modestly affect RA symptoms. These findings may contribute to individualized disease management and guide future research on environmental influences in autoimmune diseases.
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