Literature DB >> 33713925

Marital loss and risk of dementia: Do race and gender matter?

Zhenmei Zhang1, Hui Liu2, Seung-Won Emily Choi3.   

Abstract

Recent studies have found that marital loss through divorce or widowhood is associated with a higher risk of dementia for older adults. However, whether these associations vary by race and gender is less clear. To address this gap, we drew upon longitudinal data from the Health and Retirement Study (2000-2016) to investigate the association between marital loss and dementia risk, separately for non-Hispanic Whites and non-Hispanic Blacks. We further examined gender variations in the link between marital loss and dementia risk within each racial group. Results from discrete-time event history models suggested that widowhood is significantly associated with a higher risk of dementia for both Whites and Blacks, controlling for basic demographic characteristics. However, while divorce is significantly associated with a higher risk of dementia for Blacks, the association is marginally significant (p < 0.1) for Whites. There are few significant gender variations in these associations except for the effect of divorce among Whites. Even after controlling for economic and health-related factors, we found that divorce is associated with a higher risk of dementia among White men but not among White women. Economic resources explain a significant portion of the association between widowhood and dementia risk, more so for Whites than for Blacks. Our findings call for more research into the pathways through which marital loss shapes the risk of dementia across racial and ethnic groups.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Dementia; Divorce; Gender; Income; Marital status; Race; United States; Widowhood

Mesh:

Year:  2021        PMID: 33713925      PMCID: PMC8015783          DOI: 10.1016/j.socscimed.2021.113808

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  54 in total

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4.  Personalised treatment for cognitive impairment in dementia: development and validation of an artificial intelligence model.

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