Evidence map›Paper›PMID 42596747›Full record

ArticleJournal of global health2026

The association between the residential environment and arthritis among the elderly in China: evidence from cohort and cross-sectional studies.

Xiangbin Jia, Xin Xiong, Zichao Jiang, Haoze Yang

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Article in Journal of global 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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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Xiangbin JiaCenter for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China.
Xin XiongDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.
Zichao JiangDepartment of Orthopaedic Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Haoze YangDepartment of Anaesthesiology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Arthritis, characterised by inflammation, pain, and joint stiffness, is emerging as a significant health concern in ageing populations worldwide. While many studies have examined the effects of outdoor environmental risk factors on arthritis, fewer have investigated the effects of residential ecological factors. Methods: We included 2,511 participants in the cohort study and 13,886 participants in the cross-sectional study from the Chinese Longitudinal Healthy Longevity Survey. We employed multivariate Cox proportional hazards and logistic regression to analyse the cohort and cross-sectional data. For each residential environment factor, we developed three models, with model three adjusted for all potential confounders collected in our study, which we considered our primary model. Results: We identified a significant association between the use of non-clean fuel and a higher risk of arthritis (hazard ratio (HR) = 1.42; 95% confidence interval (CI) = 1.05-1.93) through cohort analysis. Conversely, residing in high-rise buildings with elevators was associated with a reduced risk of arthritis (HR = 0.12; 95% CI = 0.02-0.86). Our cross-sectional study reflects a reduced risk of arthritis associated with summer window ventilation for one to five times/week (odds ratio (OR) = 0.70; 95% CI = 0.50-0.97) and more than five times/week (OR = 0.66; 95% CI = 0.48-0.90). Additionally, distance of >300 m was also associated with a lower risk of arthritis (OR = 0.79; 95% CI = 0.69-0.89). Conclusion: These findings underscore the crucial role of residential environmental factors in the risk of arthritis development. These results have important implications for public health policies aimed at reducing the prevalence of arthritis.

Indexed as

ArthritisResidence CharacteristicsAgedAged, 80 and overChinaCohort StudiesCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedRisk FactorsarthritisCLHLScohort studycross-sectional studypublic healthresidential environment

Identifiers

PMID42596747
PMCPMC13473932

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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.