Evidence map›Paper›PMID 41507869›Full record

ArticleBMC public health2026

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.

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

Abstract read
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jingkai Di *Department of Orthopedics, Second Hospital of Shanxi Medical University, Taiyuan, China.
Liying Song *Shanxi Medical University, Taiyuan, China.
Likun QiShanxi Medical University, Taiyuan, China.
Luyi ZhangShanxi Medical University, Taiyuan, China.
Zijian GuoDepartment of Orthopedics, Second Hospital of Shanxi Medical University, Taiyuan, China.
Zehui YanDepartment of Orthopedics, Second Hospital of Shanxi Medical University, Taiyuan, China.
Yinqi LongDepartment of Orthopedics, Second Hospital of Shanxi Medical University, Taiyuan, China.
Chuan XiangDepartment of Orthopedics, Second Hospital of Shanxi Medical University, Taiyuan, China. chuanxiang@sxmu.edu.cn.

Funding

Central Guidance of Local Science and Technology Development Funds NO. YDZJSX20231A062Shanxi Provincial Scientific and Technological Achievement Transformation Guidance Special Program NO. 202204021301067
6 · The paper itself

Abstract

backgroundAtmospheric 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.

methodsData 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.

resultsAmong 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.

conclusionThis 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.

Indexed as

ArthritisHumidityAgedChinaFemaleHumansLongitudinal StudiesMaleMiddle AgedPrevalencePropensity ScoreRisk FactorsArthritisAtmospheric humidityMixed exposureNonlinear association

Identifiers

PMID41507869
PMCPMC12825208

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.