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

Author

Listed:
  • Fan Yang

    (School of International Pharmaceutical Business, China Pharmaceutical University, No.639 Longmian Str, Jiangning District, Nanjing 211198, China)

  • Jiangling Cao

    (School of Health Policy & Management, Nanjing Medical University, 101 Longmian Avenue, Nanjing 210029, China)

  • Dongfu Qian

    (School of Health Policy & Management, Nanjing Medical University, 101 Longmian Avenue, Nanjing 210029, China)

  • Aixia Ma

    (School of International Pharmaceutical Business, China Pharmaceutical University, No.639 Longmian Str, Jiangning District, Nanjing 211198, China)

Abstract

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.

Suggested Citation

  • Fan Yang & Jiangling Cao & Dongfu Qian & Aixia Ma, 2020. "Stronger Increases in Cognitive Functions among Socio-Economically Disadvantaged Older Adults in China: A Longitudinal Analysis with Multiple Birth Cohorts," IJERPH, MDPI, vol. 17(7), pages 1-13, April.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:7:p:2418-:d:340502
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    References listed on IDEAS

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    1. Zeng Yi & James W. Vaupel & Xiao Zhenyu & Zhang Chunyuan & Liu Yuzhi, 2002. "Sociodemographic and Health Profiles of the Oldest Old In China," Population and Development Review, The Population Council, Inc., vol. 28(2), pages 251-273, June.
    2. Rachel Murphy & Ran Tao & Xi Lu, 2011. "Son Preference in Rural China: Patrilineal Families and Socioeconomic Change," Population and Development Review, The Population Council, Inc., vol. 37(4), pages 665-690, December.
    3. Pia Horvat & Marcus Richards & Sofia Malyutina & Andrzej Pajak & Ruzena Kubinova & Abdonas Tamosiunas & Hynek Pikhart & Anne Peasey & Michael G. Marmot & Martin Bobak, 2014. "Life Course Socioeconomic Position and Mid-Late Life Cognitive Function in Eastern Europe," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 69(3), pages 470-481.
    4. Zhenmei Zhang, 2006. "Gender Differentials in Cognitive Impairment and Decline of the Oldest Old in China," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 61(2), pages 107-115.
    5. Boyoung Park & Jonghan Park & Jae Kwan Jun, 2013. "Cognitive Impairment, Depression, Comorbidity of the Two and Associated Factors among the Early Sixties in a Rural Korean Community," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-6, November.
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    Cited by:

    1. Cristina Gagliardi & Giovanni Lamura, 2021. "Special Issue on “Advances in Socio-Economic Research on Ageing”," IJERPH, MDPI, vol. 18(12), pages 1-6, June.

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