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Spousal Similarities in Cardiovascular Risk Factors in Northern China: A Community-Based Cross-Sectional Study

Objectives: The aim of this study was to explore spousal similarities in cardiovascular risk factors in northern China. Methods: We conducted a cross-sectional study of married couples from Beijing, Hebei, Gansu, and Qinghai provinces between 2015 and 2019. A total of 2,020 couples were included in...

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Autores principales: Lin, Binbin, Pan, Li, He, Huijing, Hu, Yaoda, Tu, Ji, Zhang, Ling, Cui, Ze, Ren, Xiaolan, Wang, Xianghua, Nai, Jing, Shan, Guangliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9988901/
https://www.ncbi.nlm.nih.gov/pubmed/36895713
http://dx.doi.org/10.3389/ijph.2023.1605620
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author Lin, Binbin
Pan, Li
He, Huijing
Hu, Yaoda
Tu, Ji
Zhang, Ling
Cui, Ze
Ren, Xiaolan
Wang, Xianghua
Nai, Jing
Shan, Guangliang
author_facet Lin, Binbin
Pan, Li
He, Huijing
Hu, Yaoda
Tu, Ji
Zhang, Ling
Cui, Ze
Ren, Xiaolan
Wang, Xianghua
Nai, Jing
Shan, Guangliang
author_sort Lin, Binbin
collection PubMed
description Objectives: The aim of this study was to explore spousal similarities in cardiovascular risk factors in northern China. Methods: We conducted a cross-sectional study of married couples from Beijing, Hebei, Gansu, and Qinghai provinces between 2015 and 2019. A total of 2,020 couples were included in the final analyses. The spousal similarities for metabolic indicators and cardiovascular risk factors (including lifestyle factors and cardiometabolic diseases) were evaluated using Spearman’s correlation and logistic regression analyses, respectively. Results: All metabolic indicators showed positive spousal correlations (p < 0.001), with the strongest for fasting blood glucose (r = 0.30) and the lowest for high-density lipoprotein cholesterol (r = 0.08). Significant husband-wife associations were observed for several cardiovascular risk factors except for hypertension in multivariable models, with the strongest association for physical inactivity (odds ratios with 95% confidence intervals of 3.59 [2.85, 4.52] and 3.54 [2.82, 4.46] for husbands and wives, respectively). In addition, the interaction of age with spousal overweight/obesity status was statistically significant, and the association was stronger in people ≥50 years. Conclusion: There were spousal similarities in cardiovascular risk factors. The finding may have public health implications that targeted screening and interventions for spouses of people with cardiovascular risk factors.
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spelling pubmed-99889012023-03-08 Spousal Similarities in Cardiovascular Risk Factors in Northern China: A Community-Based Cross-Sectional Study Lin, Binbin Pan, Li He, Huijing Hu, Yaoda Tu, Ji Zhang, Ling Cui, Ze Ren, Xiaolan Wang, Xianghua Nai, Jing Shan, Guangliang Int J Public Health Public Health Archive Objectives: The aim of this study was to explore spousal similarities in cardiovascular risk factors in northern China. Methods: We conducted a cross-sectional study of married couples from Beijing, Hebei, Gansu, and Qinghai provinces between 2015 and 2019. A total of 2,020 couples were included in the final analyses. The spousal similarities for metabolic indicators and cardiovascular risk factors (including lifestyle factors and cardiometabolic diseases) were evaluated using Spearman’s correlation and logistic regression analyses, respectively. Results: All metabolic indicators showed positive spousal correlations (p < 0.001), with the strongest for fasting blood glucose (r = 0.30) and the lowest for high-density lipoprotein cholesterol (r = 0.08). Significant husband-wife associations were observed for several cardiovascular risk factors except for hypertension in multivariable models, with the strongest association for physical inactivity (odds ratios with 95% confidence intervals of 3.59 [2.85, 4.52] and 3.54 [2.82, 4.46] for husbands and wives, respectively). In addition, the interaction of age with spousal overweight/obesity status was statistically significant, and the association was stronger in people ≥50 years. Conclusion: There were spousal similarities in cardiovascular risk factors. The finding may have public health implications that targeted screening and interventions for spouses of people with cardiovascular risk factors. Frontiers Media S.A. 2023-02-21 /pmc/articles/PMC9988901/ /pubmed/36895713 http://dx.doi.org/10.3389/ijph.2023.1605620 Text en Copyright © 2023 Lin, Pan, He, Hu, Tu, Zhang, Cui, Ren, Wang, Nai and Shan. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health Archive
Lin, Binbin
Pan, Li
He, Huijing
Hu, Yaoda
Tu, Ji
Zhang, Ling
Cui, Ze
Ren, Xiaolan
Wang, Xianghua
Nai, Jing
Shan, Guangliang
Spousal Similarities in Cardiovascular Risk Factors in Northern China: A Community-Based Cross-Sectional Study
title Spousal Similarities in Cardiovascular Risk Factors in Northern China: A Community-Based Cross-Sectional Study
title_full Spousal Similarities in Cardiovascular Risk Factors in Northern China: A Community-Based Cross-Sectional Study
title_fullStr Spousal Similarities in Cardiovascular Risk Factors in Northern China: A Community-Based Cross-Sectional Study
title_full_unstemmed Spousal Similarities in Cardiovascular Risk Factors in Northern China: A Community-Based Cross-Sectional Study
title_short Spousal Similarities in Cardiovascular Risk Factors in Northern China: A Community-Based Cross-Sectional Study
title_sort spousal similarities in cardiovascular risk factors in northern china: a community-based cross-sectional study
topic Public Health Archive
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9988901/
https://www.ncbi.nlm.nih.gov/pubmed/36895713
http://dx.doi.org/10.3389/ijph.2023.1605620
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