Stronger Increases in Cognitive Functions among Socio-Economically Disadvantaged Older Adults in China: A Longitudinal Analysis with Multiple Birth Cohorts

International Journal of Environmental Research and Public Health

卷:17

Dongfu Qian¹  Jiangling Cao¹  Fan Yang²  Aixia Ma² 

[1] School of Health Policy & Management, Nanjing Medical University, 101 Longmian Avenue, Nanjing 210029, China;

[2] School of International Pharmaceutical Business, China Pharmaceutical University, No.639 Longmian Str, Jiangning District, Nanjing 211198, China;

关键词: Cognitive decline;    Socio-economically disadvantaged;    Cohort trend;    Socio-economic disparity;   

DOI  :  10.3390/ijerph17072418

来源: DOAJ

【 摘 要 】

Highly variable changes in cognitive functions occur as people get older, and socio-economically disadvantaged older adults are more likely to suffer from cognitive decline. This study aims to identify the longitudinal trend in cognitive functions among different socio-economic groups of older adults. The Chinese Longitudinal Healthy Longevity Survey (CLHLS) followed up 32,323 individuals aged 65 years and older over a 12-year period. A series of mixed-effects models was used to explicitly assess cohort trend and its socio-economic disparity in the cognitive functions of older adults. Scores for significant increase in cognitive functions by birth cohort were smaller by 0.49, 0.28, and 0.64 among older adults with more educational experience, a lower household income, or economic dependence relative to their counterparts. Scores for differences in cognitive function between older adults with higher and lower incomes were smaller by 0.46 among those living in urban areas than among those living in rural areas. Although there were larger cohort growth trends in cognitive functions among older adults with lower educational attainment, lower household income, and who were economically dependent, effective public intervention targeting these socio-economically disadvantaged populations is still necessary.

【 授权许可】

Unknown