Urbanization and Cognitive Function Among Middle-Aged and Old Adults in China. (31st July 2022)

• Record Type: Journal Article
• Authors: Pan, Yao; Wu, Xiaofang; Liu, Yan; Li, Zhuo; Yang, Yingkai; Luo, Yanan
• Editors: Kelley, Jessica
• Is Part Of: Journals of gerontology. Volume 77:Number 12(2022)
• Page Start: 2338
• Page End: 2347
• Publication Date: 2022-07-31
• Subjects: Cognitive function -- Mechanism -- Urbanization; Geriatrics -- Periodicals; Gerontology -- Periodicals; Aged -- Periodicals; Aging -- Periodicals; Psychology, Social -- Periodicals; 305.26
• DOI: 10.1093/geronb/gbac102
• Languages: English
• ISSNs: 1079-5014

Abstract

Abstract: Objectives: Our study examined the effect of urbanization on cognitive function and its possible pathways among Chinese middle-aged and older adults independent of the influence of health-selective migration. Methods: Using data from the China Health and Retirement Longitudinal Study, we compared cognitive function among three groups (urbanized-rural residents, rural nonmigrants, and urban nonmigrants). Logistic regression and structural equation models were applied to explore the impact of urbanization on cognitive function and the potential mechanisms. Results: Compared with the urbanized-rural group, urban nonmigrants had better cognitive function, with a significant coefficient of 1.56 (95% CI: 1.22, 1.89) for global cognition scores and 0.37 (95% CI: 0.22, 0.53) for episodic memory scores. The rural nonmigrants had the worst cognitive function (β = −0.79, 95% CI: −1.04, −0.55) and lower scores of mental intactness (β = −0.65, 95% CI: −0.84, −0.57) and episodic memory (β = −0.14, 95% CI: −0.26, −0.03). The association between urbanization and cognitive function was mainly mediated by income and living conditions among middle-aged and older adults. Discussion: Rural people who experienced planned urbanization in China had higher cognitive scores than rural non-migrants. Urbanization could thus have a beneficial and cumulative effect on cognitive function. Improvements in living conditions and changes in income are the main drivers behind the relationship. However, urbanization could compensate for the negative impact on cognitive function from disadvantaged early-life conditions, but it cannot completely eliminate the gap between urbanized-rural people and urban nonmigrants.