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Background <p>Atmospheric humidity is a common environmental factor, and its abnormal fluctuations are associated with various diseases. This study investigated the relationship between atmospheric humidity and arthritis prevalence.</p> Methods <p>Data were obtained from the China Health and Retirement Longitudinal Study (CHARLS). Propensity Score Matching (PSM) and Inverse Probability of Treatment Weighting (IPTW) were used to control for confounders. Multivariate logistic regression and Restricted Cubic Spline (RCS) models were employed to assess linear and nonlinear associations. Stratified analysis and mixture models (WQS and BKMR) were applied to examine subgroup interactions and joint effects.</p> Results <p>Among 25,411 participants (9,218 arthritis cases), no linear association was found. RCS analysis revealed U-shaped relationships between three humidity indicators (RH, AVP, DPT) and arthritis (all P-nonlinear &lt; 0.05). Both low (Q1) and high (Q3) humidity levels were significantly associated with higher odds of arthritis in fully adjusted models. A significant age interaction was observed only for AVP, with higher susceptibility in those under 65. Mixed-effects models indicated that combined humidity exposure was associated with higher odds of arthritis, with RH contributing most.</p> Conclusion <p>This study clarifies the nonlinear impact and threshold effect of atmospheric humidity on arthritis, suggesting both low and high humidity may promote arthritis. Maintaining appropriate humidity levels could help reduce probability of disease.</p>

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Bidirectional adverse effects of low and high atmospheric humidity on arthritis in middle-aged and older adults: evidence from propensity score matching and comprehensive mosdeling approaches

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年1月8日

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  • Jingkai Di,
  • Liying Song,
  • Likun Qi,
  • Luyi Zhang,
  • Zijian Guo,
  • Zehui Yan,
  • Yinqi Long,
  • Chuan Xiang

摘要

Background

Atmospheric humidity is a common environmental factor, and its abnormal fluctuations are associated with various diseases. This study investigated the relationship between atmospheric humidity and arthritis prevalence.

Methods

Data were obtained from the China Health and Retirement Longitudinal Study (CHARLS). Propensity Score Matching (PSM) and Inverse Probability of Treatment Weighting (IPTW) were used to control for confounders. Multivariate logistic regression and Restricted Cubic Spline (RCS) models were employed to assess linear and nonlinear associations. Stratified analysis and mixture models (WQS and BKMR) were applied to examine subgroup interactions and joint effects.

Results

Among 25,411 participants (9,218 arthritis cases), no linear association was found. RCS analysis revealed U-shaped relationships between three humidity indicators (RH, AVP, DPT) and arthritis (all P-nonlinear < 0.05). Both low (Q1) and high (Q3) humidity levels were significantly associated with higher odds of arthritis in fully adjusted models. A significant age interaction was observed only for AVP, with higher susceptibility in those under 65. Mixed-effects models indicated that combined humidity exposure was associated with higher odds of arthritis, with RH contributing most.

Conclusion

This study clarifies the nonlinear impact and threshold effect of atmospheric humidity on arthritis, suggesting both low and high humidity may promote arthritis. Maintaining appropriate humidity levels could help reduce probability of disease.