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


Journal

Journal of affective disorders
ISSN: 1573-2517
Titre abrégé: J Affect Disord
Pays: Netherlands
ID NLM: 7906073

Informations de publication

Date de publication:
01 08 2020
Historique:
received: 27 01 2020
revised: 10 04 2020
accepted: 24 04 2020
entrez: 21 6 2020
pubmed: 21 6 2020
medline: 16 2 2021
Statut: ppublish

Résumé

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. 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. 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). Depression was assessed by a screening tool and arthritis was assessed by self-reported physician diagnosis. A positive relationship between arthritis and depression was noted in the middle-aged and elderly Chinese adults and other populations.

Identifiants

pubmed: 32560945
pii: S0165-0327(20)30252-4
doi: 10.1016/j.jad.2020.04.038
pii:
doi:

Types de publication

Journal Article Meta-Analysis Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

493-499

Informations de copyright

Copyright © 2020. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of Competing Interest None.

Auteurs

Qingping Xue (Q)

West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.

An Pan (A)

Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health and State Key Laboratory of Environmental Health (incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.

Jessica Gong (J)

The George Institute for Global Health, University of New South Wales, Sydney, Australia.

Ying Wen (Y)

Shenzhen Center for Disease Control and Prevention, 8 Longyuan Rd, Shenzhen, Guangdong, China.

Xiu Peng (X)

Department of Orthopedics, West China Hospital, Sichuan University, Chengdu, Sichuan, China.

Jay Pan (J)

West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China. Electronic address: panjie.jay@scu.edu.cn.

Xiong-Fei Pan (XF)

Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA. Electronic address: pxiongfei@gmail.com.

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