Exploring the Reciprocal Relationship between Depressive Symptoms and Cognitive Function among Chinese Older Adults

Author:

Lu Jiehua1,Ruan Yunchen2ORCID

Affiliation:

1. Department of Sociology, Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing 100871, China

2. School of Humanities and Social Sciences, Fuzhou University, No. 2 Xueyuan Road, Fuzhou 350108, China

Abstract

(1) Objectives: This study aims to investigate the bidirectional relationship between depressive symptoms and cognitive function among older adults in China, addressing a research gap in the context of developing nations. (2) Methods: A total of 3813 adults aged 60 and older participating in 2013, 2015, and 2018 waves of the China Health and Retirement Longitudinal Study (CHARLS) were included. A fixed-effects model and cross-lagged panel model (CLPM) was utilized. (3) Results: First, the results indicated that a significant negative correlation existed between depressive symptoms and cognitive function in older adults during the study period (β = −0.084, p < 0.001). Second, after controlling for unobserved confounding factors, the deterioration and improvement of depressive symptoms still significantly affected cognitive function (β = −0.055, p < 0.001). Third, using the cross-lagged panel model, we observed a reciprocal relationship between depressive symptoms (Dep) and cognitive function (Cog) among Chinese older adults (Dep2013 → Cog2015, β = −0.025, p < 0.01; Dep2015 → Cog2018, β = −0.028, p < 0.001; Cog2013 → Dep2015, β = −0.079, p < 0.01; Cog2015 → Dep2018, β = −0.085, p < 0.01). (4) Discussion: The reciprocal relationship between depressive symptoms and cognitive functioning in older adults emphasizes the need for integrated public health policies and clinical interventions, to develop comprehensive intervention strategies that simultaneously address depressive symptoms and cognitive decline.

Funder

Major Project of Beijing Social Science Fund

Publisher

MDPI AG

Subject

Health Information Management,Health Informatics,Health Policy,Leadership and Management

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