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Is waist-to-height ratio the best predictive indicator of cardiovascular disease incidence in hypertensive adults? A cohort study
BACKGROUND: Cardiovascular disease (CVD) brings high mortality and economic burden to patients, especially in rural areas. Simple, low-cost abdominal adiposity measures may help identify individuals with increased CVD risk. It is unclear that which obesity indices is the best to predict CVD in hyper...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9092683/ https://www.ncbi.nlm.nih.gov/pubmed/35545759 http://dx.doi.org/10.1186/s12872-022-02646-1 |
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author | Zhang, Shu Fu, Xin Du, Zhi Guo, Xiaofan Li, Zhao Sun, Guozhe Zhou, Ying Yang, Hongmei Yu, Shasha Zheng, Liqiang Sun, Yingxian Zhang, Xingang |
author_facet | Zhang, Shu Fu, Xin Du, Zhi Guo, Xiaofan Li, Zhao Sun, Guozhe Zhou, Ying Yang, Hongmei Yu, Shasha Zheng, Liqiang Sun, Yingxian Zhang, Xingang |
author_sort | Zhang, Shu |
collection | PubMed |
description | BACKGROUND: Cardiovascular disease (CVD) brings high mortality and economic burden to patients, especially in rural areas. Simple, low-cost abdominal adiposity measures may help identify individuals with increased CVD risk. It is unclear that which obesity indices is the best to predict CVD in hypertensive people. METHODS: Northeast China Rural Cardiovascular Health Study (NCRCHS) is a prospective cohort study in a general population in Northeast China. The study examined the cardiovascular health from 2013 to 2015, and follow-up captured the CVD incidence in 2018. Baseline waist-to-height ratio (WHtR), waist circumference (WC), waist-to-hip (WHR)and body mass index (BMI) were calculated and analyzed in relation to the CVD incidence. RESULTS: A total of 4244 hypertensive adults without pre-existing CVD at baseline were included in this analysis (age 35–92 years; 2108 men). Over a median follow-up of 4.66 years, a total of 290 CVD cases (6.83%) were documented during the follow-up. Baseline WHtR showed a significant positive association with CVD incidence, even after adjusting for age, sex, diabetes, drinking, smoking, SBP, DBP, Triglyceride, HDL-C, LDL-C, and TC (Hazard Ratios per SD of WHtR ranging from 1.03 to 1.31, p = 0.017). Reclassification and discrimination analyses indicated WHtR addition could improve the conventional model for predicting adverse outcomes within 4 years. Moreover, WHtR predicted the CVD incidence better than other obesity indices (BMI, WC, WHR). CONCLUSION: These findings support a positive association between WHtR and CVD incidence in CVD-free hypertensive adults. WHtR can be used to predict CVD incidence in hypertensive adults. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12872-022-02646-1. |
format | Online Article Text |
id | pubmed-9092683 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-90926832022-05-12 Is waist-to-height ratio the best predictive indicator of cardiovascular disease incidence in hypertensive adults? A cohort study Zhang, Shu Fu, Xin Du, Zhi Guo, Xiaofan Li, Zhao Sun, Guozhe Zhou, Ying Yang, Hongmei Yu, Shasha Zheng, Liqiang Sun, Yingxian Zhang, Xingang BMC Cardiovasc Disord Research BACKGROUND: Cardiovascular disease (CVD) brings high mortality and economic burden to patients, especially in rural areas. Simple, low-cost abdominal adiposity measures may help identify individuals with increased CVD risk. It is unclear that which obesity indices is the best to predict CVD in hypertensive people. METHODS: Northeast China Rural Cardiovascular Health Study (NCRCHS) is a prospective cohort study in a general population in Northeast China. The study examined the cardiovascular health from 2013 to 2015, and follow-up captured the CVD incidence in 2018. Baseline waist-to-height ratio (WHtR), waist circumference (WC), waist-to-hip (WHR)and body mass index (BMI) were calculated and analyzed in relation to the CVD incidence. RESULTS: A total of 4244 hypertensive adults without pre-existing CVD at baseline were included in this analysis (age 35–92 years; 2108 men). Over a median follow-up of 4.66 years, a total of 290 CVD cases (6.83%) were documented during the follow-up. Baseline WHtR showed a significant positive association with CVD incidence, even after adjusting for age, sex, diabetes, drinking, smoking, SBP, DBP, Triglyceride, HDL-C, LDL-C, and TC (Hazard Ratios per SD of WHtR ranging from 1.03 to 1.31, p = 0.017). Reclassification and discrimination analyses indicated WHtR addition could improve the conventional model for predicting adverse outcomes within 4 years. Moreover, WHtR predicted the CVD incidence better than other obesity indices (BMI, WC, WHR). CONCLUSION: These findings support a positive association between WHtR and CVD incidence in CVD-free hypertensive adults. WHtR can be used to predict CVD incidence in hypertensive adults. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12872-022-02646-1. BioMed Central 2022-05-11 /pmc/articles/PMC9092683/ /pubmed/35545759 http://dx.doi.org/10.1186/s12872-022-02646-1 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 Zhang, Shu Fu, Xin Du, Zhi Guo, Xiaofan Li, Zhao Sun, Guozhe Zhou, Ying Yang, Hongmei Yu, Shasha Zheng, Liqiang Sun, Yingxian Zhang, Xingang Is waist-to-height ratio the best predictive indicator of cardiovascular disease incidence in hypertensive adults? A cohort study |
title | Is waist-to-height ratio the best predictive indicator of cardiovascular disease incidence in hypertensive adults? A cohort study |
title_full | Is waist-to-height ratio the best predictive indicator of cardiovascular disease incidence in hypertensive adults? A cohort study |
title_fullStr | Is waist-to-height ratio the best predictive indicator of cardiovascular disease incidence in hypertensive adults? A cohort study |
title_full_unstemmed | Is waist-to-height ratio the best predictive indicator of cardiovascular disease incidence in hypertensive adults? A cohort study |
title_short | Is waist-to-height ratio the best predictive indicator of cardiovascular disease incidence in hypertensive adults? A cohort study |
title_sort | is waist-to-height ratio the best predictive indicator of cardiovascular disease incidence in hypertensive adults? a cohort study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9092683/ https://www.ncbi.nlm.nih.gov/pubmed/35545759 http://dx.doi.org/10.1186/s12872-022-02646-1 |
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