JOURNAL ARTICLE

Association Between a Family Caregiver's Relationship to Persons With Dementia and Cardiovascular Disease by Race and Ethnicity: A Secondary Analysis of the Behavioral Risk Factor Surveillance System Data.

  • Published In: Western Journal of Nursing Research, 2025, v. 47, n. 3. P. 178 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Baik, Dawon; Centi, Sophia; Schmiege, Sarah J. 3 of 3

Abstract

This article examines the association between family caregivers' (FCGs) relationships to persons with dementia and their cardiovascular disease (CVD) risk factors and conditions, with a focus on how these associations differ by race and ethnicity. Using data from the 2015–2020 Centers for Disease Control and Prevention Behavioral Risk Factor Surveillance System (BRFSS), the study found that spouse caregivers exhibited higher risks of diabetes, stroke, angina, and myocardial infarction but lower rates of smoking, heavy drinking, and obesity compared to adult children caregivers. The relationship between caregiving type and certain CVD risk factors, specifically depression and previous smoking, varied significantly across racial and ethnic groups, notably with non-Hispanic Black spouses showing higher depression rates and Hispanic spouses showing higher rates of previous smoking. The findings highlight the need for culturally tailored cardiovascular preventive strategies that consider both caregiving relationships and racial/ethnic diversity among FCGs of persons with dementia.

Additional Information

  • Source:Western Journal of Nursing Research. 2025/03, Vol. 47, Issue 3, p178
  • Document Type:Article
  • Subject Area:Ethnic and Cultural Studies
  • Publication Date:2025
  • ISSN:0193-9459
  • DOI:10.1177/01939459241311501
  • Accession Number:182950132
  • Copyright Statement:Copyright of Western Journal of Nursing Research is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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