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Association between Ideal Cardiovascular Health Metrics and Suboptimal Health Status in Chinese Population

Suboptimal health status (SHS) is a physical state between health and illness, and previous studies suggested that SHS is associated with majority components of cardiovascular health metrics defined by American Heart Association (AHA). We investigated the association between SHS and cardiovascular h...

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Autores principales: Wang, Youxin, Liu, Xiaoxue, Qiu, Jing, Wang, Hao, Liu, Di, Zhao, Zhongyao, Song, Manshu, Song, Qiaofeng, Wang, Xizhu, Zhou, Yong, Wang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5670124/
https://www.ncbi.nlm.nih.gov/pubmed/29101345
http://dx.doi.org/10.1038/s41598-017-15101-5
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author Wang, Youxin
Liu, Xiaoxue
Qiu, Jing
Wang, Hao
Liu, Di
Zhao, Zhongyao
Song, Manshu
Song, Qiaofeng
Wang, Xizhu
Zhou, Yong
Wang, Wei
author_facet Wang, Youxin
Liu, Xiaoxue
Qiu, Jing
Wang, Hao
Liu, Di
Zhao, Zhongyao
Song, Manshu
Song, Qiaofeng
Wang, Xizhu
Zhou, Yong
Wang, Wei
author_sort Wang, Youxin
collection PubMed
description Suboptimal health status (SHS) is a physical state between health and illness, and previous studies suggested that SHS is associated with majority components of cardiovascular health metrics defined by American Heart Association (AHA). We investigated the association between SHS and cardiovascular health metrics in a cross-sectional analysis of China suboptimal health cohort study (COACS) consisting of 4313 participants (60.30% women) aged from 18 to 65 years old. The respective prevalence of SHS is 7.10%, 9.18%, 10.04% and 10.62% in the first, second, third and fourth quartiles of ideal cardiovascular health (CVH) metrics (P for trend = 0.012). Participants in the largest quartile of ideal CVH metrics show a lower likelihood of having optimal SHS score compared to those in the smallest quartile (odds ratio (OR), 0.43; 95% confidence interval (CI), 0.32–0.59), after adjusting for age, gender, marital status, alcohol consumption, income level and education. Four metrics (smoking, physical inactivity, poor dietary intake and ideal control of blood pressure are significantly correlated with the risk of SHS. The present study suggests that ideal CVH metrics are associated with a lower prevalence of SHS, and the combined evaluation of SHS and CVH metrics allows the risk classification of cardiovascular disease, and thus consequently contributes to the prevention of cardiovascular diseases.
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spelling pubmed-56701242017-11-15 Association between Ideal Cardiovascular Health Metrics and Suboptimal Health Status in Chinese Population Wang, Youxin Liu, Xiaoxue Qiu, Jing Wang, Hao Liu, Di Zhao, Zhongyao Song, Manshu Song, Qiaofeng Wang, Xizhu Zhou, Yong Wang, Wei Sci Rep Article Suboptimal health status (SHS) is a physical state between health and illness, and previous studies suggested that SHS is associated with majority components of cardiovascular health metrics defined by American Heart Association (AHA). We investigated the association between SHS and cardiovascular health metrics in a cross-sectional analysis of China suboptimal health cohort study (COACS) consisting of 4313 participants (60.30% women) aged from 18 to 65 years old. The respective prevalence of SHS is 7.10%, 9.18%, 10.04% and 10.62% in the first, second, third and fourth quartiles of ideal cardiovascular health (CVH) metrics (P for trend = 0.012). Participants in the largest quartile of ideal CVH metrics show a lower likelihood of having optimal SHS score compared to those in the smallest quartile (odds ratio (OR), 0.43; 95% confidence interval (CI), 0.32–0.59), after adjusting for age, gender, marital status, alcohol consumption, income level and education. Four metrics (smoking, physical inactivity, poor dietary intake and ideal control of blood pressure are significantly correlated with the risk of SHS. The present study suggests that ideal CVH metrics are associated with a lower prevalence of SHS, and the combined evaluation of SHS and CVH metrics allows the risk classification of cardiovascular disease, and thus consequently contributes to the prevention of cardiovascular diseases. Nature Publishing Group UK 2017-11-03 /pmc/articles/PMC5670124/ /pubmed/29101345 http://dx.doi.org/10.1038/s41598-017-15101-5 Text en © The Author(s) 2017 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Wang, Youxin
Liu, Xiaoxue
Qiu, Jing
Wang, Hao
Liu, Di
Zhao, Zhongyao
Song, Manshu
Song, Qiaofeng
Wang, Xizhu
Zhou, Yong
Wang, Wei
Association between Ideal Cardiovascular Health Metrics and Suboptimal Health Status in Chinese Population
title Association between Ideal Cardiovascular Health Metrics and Suboptimal Health Status in Chinese Population
title_full Association between Ideal Cardiovascular Health Metrics and Suboptimal Health Status in Chinese Population
title_fullStr Association between Ideal Cardiovascular Health Metrics and Suboptimal Health Status in Chinese Population
title_full_unstemmed Association between Ideal Cardiovascular Health Metrics and Suboptimal Health Status in Chinese Population
title_short Association between Ideal Cardiovascular Health Metrics and Suboptimal Health Status in Chinese Population
title_sort association between ideal cardiovascular health metrics and suboptimal health status in chinese population
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5670124/
https://www.ncbi.nlm.nih.gov/pubmed/29101345
http://dx.doi.org/10.1038/s41598-017-15101-5
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