Literature DB >> 32560945

Association between arthritis and depression risk: a prospective study and meta-analysis.

Qingping Xue1, An Pan2, Jessica Gong3, Ying Wen4, Xiu Peng5, Jay Pan6, Xiong-Fei Pan7.   

Abstract

OBJECTIVE: Our research aimed to prospectively evaluate the association between arthritis and depression among middle-aged and elderly Chinese and confirmed this association in other populations.
METHODS: Data from the China Health and Retirement Longitudinal Study were analyzed. Participants were enrolled in this study in 2011-2012 (Wave 1) and followed up in 2013-2014 (Wave 2) and 2015-2016 (Wave 3). Depression was defined as having a score equal to over 10 using the Chinese version of 10-item Center for Epidemiological Studies Depression scale. Arthritis was assessed by self-reported physician diagnosis in Wave 1. Cox proportional hazards regression models were fitted to evaluate prospective associations between baseline arthritis status and incident and persistent depression. Summary effect estimates were pooled from our findings and those reported in literature by applying random effects models.
RESULTS: The study included 7,386 participants aged 58.48 years (standard deviation, 9.59) for final analyses. Individuals with arthritis had a 35% higher risk (multivariable-adjusted hazard ratio [HR]: 1.35; 95% confidence interval [CI]: 1.23, 1.49) and 50% higher risk (HR: 1.50; 95% CI: 1.22, 1.84) of developing incident and persistent depression compared with those without arthritis. The meta-analysis of prospective studies confirmed increased risk of depression in individuals with arthritis (summary HR: 1.42, 95% CI, 1.34, 1.52). LIMITATIONS: Depression was assessed by a screening tool and arthritis was assessed by self-reported physician diagnosis.
CONCLUSIONS: A positive relationship between arthritis and depression was noted in the middle-aged and elderly Chinese adults and other populations.
Copyright © 2020. Published by Elsevier B.V.

Entities:  

Keywords:  Arthritis; Chinese; Cohort Study; Depression; Meta-analysis

Mesh:

Year:  2020        PMID: 32560945     DOI: 10.1016/j.jad.2020.04.038

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


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