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Associations of clustered health risk behaviors with diabetes and hypertension in White, Black, Hispanic, and Asian American adults

BACKGROUND: The clustering of Big Four contributors to morbidity and mortality—alcohol misuse, smoking, poor diet, and physical inactivity—may further elevate chronic health risk, but there is limited information about their specific combinations and associated health risks for racial/ethnic minorit...

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Autores principales: Cook, Won Kim, Li, Libo, Tam, Christina C., Mulia, Nina, Kerr, William C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9013099/
https://www.ncbi.nlm.nih.gov/pubmed/35428232
http://dx.doi.org/10.1186/s12889-022-12938-y
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author Cook, Won Kim
Li, Libo
Tam, Christina C.
Mulia, Nina
Kerr, William C.
author_facet Cook, Won Kim
Li, Libo
Tam, Christina C.
Mulia, Nina
Kerr, William C.
author_sort Cook, Won Kim
collection PubMed
description BACKGROUND: The clustering of Big Four contributors to morbidity and mortality—alcohol misuse, smoking, poor diet, and physical inactivity—may further elevate chronic health risk, but there is limited information about their specific combinations and associated health risks for racial/ethnic minority groups. We aimed to examine patterns of clustering in risk behaviors for White, Black, Hispanic, and Asian American adults and their associations with diabetes and hypertension. As these behaviors may be socioeconomically-patterned, we also examined associations between clustering and socioeconomic status (SES). METHODS: Latent class analyses and multinomial and logistic regressions were conducted using a nationally-representative sample of United States (US) adults ages 40–70 (N = 35,322) from Waves 2 (2004–2005) and 3 (2012–2013) of the National Epidemiologic Survey on Alcohol and Related Conditions. Obesity was used as a proxy for unhealthy diet. The outcomes were diabetes and hypertension. RESULTS: A relatively-healthy-lifestyle class was found only among White adults. Common patterns of unhealthy clustering were found across groups with some variations: the obese-inactive class among White, Black, and Hispanic adults (and the inactive class among Asian adults); the obese-inactive-smoking class among White, Black, and Hispanic adults; the smoking-risky-drinking class among White and Hispanic adults; and the smoking-risky-drinking-inactive class among Black and Asian adults. Positive associations of unhealthier clustering (having a greater number of risk behaviors) with lower SES (i.e., family income and education) and with health conditions were more consistent for Whites than for other groups. For racial minority groups, lower education than income was more consistently associated with unhealthy clusters. The associations between unhealthier clustering and diabetes and hypertension were less clear for Blacks and Asians than for Whites, with no significant association observed for Hispanics. CONCLUSION: Concerted efforts to address clustered risk behaviors in most US adults, particularly in racial/ethnic minority groups given the high prevalence of unhealthy clustering, are warranted.
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spelling pubmed-90130992022-04-17 Associations of clustered health risk behaviors with diabetes and hypertension in White, Black, Hispanic, and Asian American adults Cook, Won Kim Li, Libo Tam, Christina C. Mulia, Nina Kerr, William C. BMC Public Health Research BACKGROUND: The clustering of Big Four contributors to morbidity and mortality—alcohol misuse, smoking, poor diet, and physical inactivity—may further elevate chronic health risk, but there is limited information about their specific combinations and associated health risks for racial/ethnic minority groups. We aimed to examine patterns of clustering in risk behaviors for White, Black, Hispanic, and Asian American adults and their associations with diabetes and hypertension. As these behaviors may be socioeconomically-patterned, we also examined associations between clustering and socioeconomic status (SES). METHODS: Latent class analyses and multinomial and logistic regressions were conducted using a nationally-representative sample of United States (US) adults ages 40–70 (N = 35,322) from Waves 2 (2004–2005) and 3 (2012–2013) of the National Epidemiologic Survey on Alcohol and Related Conditions. Obesity was used as a proxy for unhealthy diet. The outcomes were diabetes and hypertension. RESULTS: A relatively-healthy-lifestyle class was found only among White adults. Common patterns of unhealthy clustering were found across groups with some variations: the obese-inactive class among White, Black, and Hispanic adults (and the inactive class among Asian adults); the obese-inactive-smoking class among White, Black, and Hispanic adults; the smoking-risky-drinking class among White and Hispanic adults; and the smoking-risky-drinking-inactive class among Black and Asian adults. Positive associations of unhealthier clustering (having a greater number of risk behaviors) with lower SES (i.e., family income and education) and with health conditions were more consistent for Whites than for other groups. For racial minority groups, lower education than income was more consistently associated with unhealthy clusters. The associations between unhealthier clustering and diabetes and hypertension were less clear for Blacks and Asians than for Whites, with no significant association observed for Hispanics. CONCLUSION: Concerted efforts to address clustered risk behaviors in most US adults, particularly in racial/ethnic minority groups given the high prevalence of unhealthy clustering, are warranted. BioMed Central 2022-04-15 /pmc/articles/PMC9013099/ /pubmed/35428232 http://dx.doi.org/10.1186/s12889-022-12938-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Cook, Won Kim
Li, Libo
Tam, Christina C.
Mulia, Nina
Kerr, William C.
Associations of clustered health risk behaviors with diabetes and hypertension in White, Black, Hispanic, and Asian American adults
title Associations of clustered health risk behaviors with diabetes and hypertension in White, Black, Hispanic, and Asian American adults
title_full Associations of clustered health risk behaviors with diabetes and hypertension in White, Black, Hispanic, and Asian American adults
title_fullStr Associations of clustered health risk behaviors with diabetes and hypertension in White, Black, Hispanic, and Asian American adults
title_full_unstemmed Associations of clustered health risk behaviors with diabetes and hypertension in White, Black, Hispanic, and Asian American adults
title_short Associations of clustered health risk behaviors with diabetes and hypertension in White, Black, Hispanic, and Asian American adults
title_sort associations of clustered health risk behaviors with diabetes and hypertension in white, black, hispanic, and asian american adults
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9013099/
https://www.ncbi.nlm.nih.gov/pubmed/35428232
http://dx.doi.org/10.1186/s12889-022-12938-y
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