Evidence map›Paper›PMID 41034848›Full record

ArticleBMC public health2025

Longitudinal association between social economic status and new-onset arthritis among middle-aged and elderly adults: evidence from the CHARLS cohort.

Le Chang, Haifeng Tang, Zhenyu Cai

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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Le ChangDepartment of Clinical Medicine, Quanzhou Medical College, Quanzhou, Fujian, China.
Haifeng TangDepartment of Orthopedics, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, Fujian, China.
Zhenyu CaiDepartment of Orthopedics, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, Fujian, China. czyzone@126.com.

Funding

Quanzhou City Science and Technology Program 2021N067SQuanzhou City Science and Technology Program 2025QZNY067
6 · The paper itself

Abstract

backgroundArthritis represents a major global health burden, with social economic status (SES) emerging as a critical determinant. However, longitudinal evidence from Asian populations remains limited.

methodsThis prospective cohort study used China Health and Retirement Longitudinal Study (CHARLS) data, including 4,469 arthritis-free participants aged ≥ 45 years from baseline (2011) through 2018. SES was assessed using composite scores combining education and household wealth, categorized into four groups. New-onset arthritis was determined by self-reported physician diagnosis. Covariates included demographics, lifestyle factors, anthropometrics, and comorbidities. Multivariable logistic and Cox regression models estimated odds ratios (ORs) and hazard ratios (HRs) with 95% confidence intervals (CIs). Kaplan-Meier analysis estimated cumulative incidence with log-rank tests. Subgroup analyses examined effect modification by gender and age.

resultsDuring 7-year follow-up, 1,324 participants (29.6%) developed arthritis. In fully adjusted models, compared with low SES, upper-middle SES demonstrated reduced risk in both logistic (OR = 0.67, 95% CI: 0.55–0.82, P < 0.001) and Cox regression (HR = 0.71, 95% CI: 0.60–0.84, P < 0.001). High SES showed greater protection (OR = 0.41, 95% CI: 0.14-1.00; HR = 0.44, 95% CI: 0.18–1.08). Kaplan-Meier analysis showed cumulative incidence decreased across SES groups: 34.5% (low), 31.1% (low-middle), 23.5% (upper-middle), and 14.3% (high SES; log-rank P < 0.0001). Effects remained consistent across gender and age subgroups.

conclusionsHigher SES was independently associated with reduced arthritis risk among Chinese middle-aged and elderly adults, demonstrating a clear dose-response relationship. These findings support targeted prevention strategies for socioeconomically disadvantaged populations.

Indexed as

ArthritisSocial ClassAgedChinaFemaleHumansIncidenceLongitudinal StudiesLow Socioeconomic StatusMaleMiddle AgedProspective StudiesRisk FactorsSocioeconomic Disparities in HealthArthritisCHARLSLongitudinal studyMiddle-aged and elderlySocial economic status

Identifiers

PMID41034848
PMCPMC12487501

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