Association between persistent musculoskeletal pain and incident sarcopenia in China: the mediating effect of depressive symptoms

Autor: Shengliang Zhou, Yuan Liu, Yan Zhang, Naijia Luo, Quan Chen, Meiling Ge, Bin Shen
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Frontiers in Public Health, Vol 12 (2024)
Druh dokumentu: article
ISSN: 2296-2565
DOI: 10.3389/fpubh.2024.1416796
Popis: ObjectiveTo evaluate the association between musculoskeletal pain and incident sarcopenia and further explore the mediating effect of depressive symptoms among middle-aged and older Chinese adults.MethodsUsing the data from the China Health and Retirement Longitudinal Study 2011 and 2015, we included 12,788 participants in the cross-sectional analysis and 8,322 for the longitudinal analysis. Musculoskeletal pains located in the neck, back, waist, shoulder, arm, wrist, leg, knee, and ankle were self-reported at baseline and follow-up. The diagnosis criteria of sarcopenia was based on the Asian Working Group for Sarcopenia 2019. Multivariable logistic regression models were used to evaluate the association between musculoskeletal pain, and the Karlson–Holm–Breen (KHB) method was used to explore the mediating effect of depressive symptoms.ResultsOver the 4-year follow-up, 445 participants were identified with incident sarcopenia. In the longitudinal analysis, participants with baseline musculoskeletal pain (adjusted odds ratio (OR): 1.37, 95% confidence interval (CI): 1.07–1.76), persistent musculoskeletal pain (OR:1.68, 95%CI: 1.28–2.24), and persistent waist pain (OR:1.46, 95%CI: 1.04–2.03) were significantly associated with increased the risk of incident sarcopenia. Furthermore, depressive symptoms were found to partially mediate the association between musculoskeletal pain and incident sarcopenia.ConclusionPersistent musculoskeletal pain, especially in waist area, was positively associated with a higher risk of sarcopenia among the middle-aged and older Chinese. Depressive symptoms played a partial mediating role in this association.
Databáze: Directory of Open Access Journals