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BMC Musculoskeletal Disorders
Published in: BMC Musculoskeletal Disorders 1/2022

Open Access 01-12-2022 | Knee Osteoarthritis | Research

Bidirectional association between knee osteoarthritis and depressive symptoms: evidence from a nationwide population-based cohort

Authors: Han Lu, Limin Wang, Weijiao Zhou, Shida Jin, Hongbo Chen, Yi Su, Nan Li, Shaomei Shang

Published in: BMC Musculoskeletal Disorders | Issue 1/2022

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Abstract

Background

Both knee osteoarthritis (KOA) and depressive symptoms (DS) are major public health issues affecting the quality of life. This study aimed to examine the association between KOA and DS.

Methods

Data were gathered from the China Health and Retirement Longitudinal Study in 2011–2015 which surveyed middle-aged to elderly individuals and their spouses in 28 provinces in China. An adjusted Cox proportional hazards regression model was used to estimate hazard ratios (HRs).

Results

The analysis for baseline KOA and the subsequent risk of DS was based on 2582 participants without baseline DS. During the follow-up, KOA patients were more likely to have DS than non-KOA participants (adjusted HR = 1.38: 95% CI = 1.23 to 1.83). The analysis for baseline DS and the subsequent risk of KOA was based on 4293 participants without baseline KOA, those with DS were more likely to develop KOA than non-DS participants (adjusted HR = 1.51: 95% CI = 1.26 to 1.81). Subgroup analysis showed sex and age had no significant moderating effect on the KOA-DS association.

Conclusions

Our results provide evidence that the association between KOA and DS is bidirectional. Therefore, primary prevention and management of KOA and DS should consider this relationship.
Appendix
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Metadata
Title
Bidirectional association between knee osteoarthritis and depressive symptoms: evidence from a nationwide population-based cohort
Authors
Han Lu
Limin Wang
Weijiao Zhou
Shida Jin
Hongbo Chen
Yi Su
Nan Li
Shaomei Shang
Publication date
01-12-2022
Publisher
BioMed Central
Published in
BMC Musculoskeletal Disorders / Issue 1/2022
Electronic ISSN: 1471-2474
DOI
https://doi.org/10.1186/s12891-022-05137-8

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