Dataset Information

Marital Status and Dementia: Evidence from the Health and Retirement Study.

ABSTRACT: OBJECTIVES:We provide one of the first population-based studies of variation in dementia by marital status in the United States. METHOD:We analyzed data from the Health and Retirement Study (2000-2014). The sample included 15,379 respondents (6,650 men and 8,729 women) aged 52 years and older in 2000 who showed no evidence of dementia at the baseline survey. Dementia was assessed using either the modified version of the Telephone Interview for Cognitive Status (TICS) or the proxy's assessment. Discrete-time hazard regression models were estimated to predict odds of dementia. RESULTS:All unmarried groups, including the cohabiting, divorced/separated, widowed, and never married, had significantly higher odds of developing dementia over the study period than their married counterparts; economic resources and, to a lesser degree, health-related factors accounted for only part of the marital status variation in dementia. For divorced/separated and widowed respondents, the differences in the odds of dementia relative to married respondents were greater among men than among women. DISCUSSION:These findings will be helpful for health policy makers and practitioners who seek to better identify vulnerable subpopulations and to design effective intervention strategies to reduce dementia risk.

SUBMITTER: Liu H

PROVIDER: S-EPMC7489107 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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Publications

Marital Status and Dementia: Evidence from the Health and Retirement Study.

Liu Hui H Zhang Zhenmei Z Choi Seung-Won SW Langa Kenneth M KM

The journals of gerontology. Series B, Psychological sciences and social sciences 20200901 8

<h4>Objectives</h4>We provide one of the first population-based studies of variation in dementia by marital status in the United States.<h4>Method</h4>We analyzed data from the Health and Retirement Study (2000-2014). The sample included 15,379 respondents (6,650 men and 8,729 women) aged 52 years and older in 2000 who showed no evidence of dementia at the baseline survey. Dementia was assessed using either the modified version of the Telephone Interview for Cognitive Status (TICS) or the proxy' ...[more]

PMID: 31251349

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Project description:Background: China is the biggest consumer of tobacco in the world, with a high prevalence of smoking especially among men. Along with the rapid demographic change in China, the burden of diseases attributable to health behaviors, particularly smoking is steadily increasing. So, smoking has become a major risk factor for mortality in China. Smoking behaviors may be related to migration processes, as a result of both who migrates and post-migration experiences related to socioeconomic position, stress and acculturation. Existing studies that have examined smoking and migration in China have, however, only focused on temporary rural-to-urban migrants and focused on relatively younger migrants. This paper examines the association between smoking behaviors and a comprehensive assessment of migration status in later-life in China. Methods: Using the China Health and Retirement Longitudinal Study (CHARLS), a nationally representative dataset, this paper studies smoking behaviors of rural-to-urban migrants, urban-to-urban migrants, rural return migrants, and urban return migrants. We compare them with corresponding non-migrant groups in both rural and urban locations in China. Using a model that controls for demographic factors, early-life circumstances, socioeconomic factors, and factors related to migration, we examine both the decision to start smoking and the decision to quit smoking. In addition, we also address pre-migration selection in our analyses. Results: The results show rural-to-urban migrants are no more likely to start smoking compared with rural non-migrants, but they are more likely to quit smoking. While urban-to-urban migrants are more likely to start smoking compared with urban non-migrants, this effect is explained by the factors we include in the full model. Urban-to-urban migrants are, however, less likely to quit smoking. Moreover, both rural return migrants and urban return migrants seem to be more likely to start smoking and less likely to quit smoking compared with non-migrant groups. Conclusion: There are strong associations between migration status and later-life smoking behaviors in China; these associations vary greatly according to different migration status and point to populations and factors that public health activities should focus on.

Dataset Information

Marital Status and Dementia: Evidence from the Health and Retirement Study.

Publications

Marital Status and Dementia: Evidence from the Health and Retirement Study.

Similar Datasets

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