Cargando…

Geographical variations in cardiovascular health in China: A nationwide population-based survey of 74,726 adults

BACKGROUND: Cardiovascular disease is the leading cause of death in China. The aim of this study was to evaluate the levels of cardiovascular health among Chinese adults and to understand the geographic pattern of cardiovascular health. METHODS: In 2015, a total of 74,726 respondents aged ≥ 20 years...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Mei, Shi, Yu, Shi, Oumin, Zhao, Zhenping, Zhang, Xiao, Li, Chun, Huang, Zhengjing, Zhao, Liyun, Wang, Limin, Li, Yichong, Li, Xinhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8315622/
https://www.ncbi.nlm.nih.gov/pubmed/34327384
http://dx.doi.org/10.1016/j.lanwpc.2020.100033
_version_ 1783729753713278976
author Zhang, Mei
Shi, Yu
Shi, Oumin
Zhao, Zhenping
Zhang, Xiao
Li, Chun
Huang, Zhengjing
Zhao, Liyun
Wang, Limin
Li, Yichong
Li, Xinhua
author_facet Zhang, Mei
Shi, Yu
Shi, Oumin
Zhao, Zhenping
Zhang, Xiao
Li, Chun
Huang, Zhengjing
Zhao, Liyun
Wang, Limin
Li, Yichong
Li, Xinhua
author_sort Zhang, Mei
collection PubMed
description BACKGROUND: Cardiovascular disease is the leading cause of death in China. The aim of this study was to evaluate the levels of cardiovascular health among Chinese adults and to understand the geographic pattern of cardiovascular health. METHODS: In 2015, a total of 74,726 respondents aged ≥ 20 years with no history of cardiovascular disease were randomly sampled from 298 counties/districts of 31 provinces in mainland China and were interviewed. Seven metrics, including smoking, body mass index, physical activity, diet, total cholesterol, blood pressure, and fasting glucose, were determined. Ideal cardiovascular health was defined as the simultaneous presence of all metrics at the ideal level. A score ranging from 0 to 14 was calculated as the sum of all seven metrics for each province. Scores for cardiovascular health behaviors (smoking, body mass index, physical activity and diet) and those for cardiovascular health factors (smoking, total cholesterol, blood pressure, and fasting glucose) were also calculated. FINDINGS: The mean age was 44.4 ± 15.9 years, and 49.3% were women. The age-sex-standardized prevalence of ideal cardiovascular health was universally poor, ranging from 0.02% [95% confidence interval (CI): 0%, 0.05%] in Tibet to 2.76% (95% CI: 0.45%, 5.07%) in Heilongjiang. Ideal diet (7.1%) was the least common factor of the seven metrics in each province and varied considerably across provinces. Other component metrics of ideal cardiovascular health were also spatially patterned. In all provinces, women had higher scores than men for cardiovascular health, health behaviors and health factors. Differences in cardiovascular health and health behavior scores between urban and rural areas were associated with levels of socio-economic development. INTERPRETATION: Strategies for addressing poor cardiovascular health require geographic targeting and localized consideration. FUNDING: This research was supported by National Key R&D Program, the Shenzhen Strategic Emerging Industry Development Special Fund, and the Fund of "Sanming" Project of Medicine in Shenzhen.
format Online
Article
Text
id pubmed-8315622
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-83156222021-07-28 Geographical variations in cardiovascular health in China: A nationwide population-based survey of 74,726 adults Zhang, Mei Shi, Yu Shi, Oumin Zhao, Zhenping Zhang, Xiao Li, Chun Huang, Zhengjing Zhao, Liyun Wang, Limin Li, Yichong Li, Xinhua Lancet Reg Health West Pac Research Paper BACKGROUND: Cardiovascular disease is the leading cause of death in China. The aim of this study was to evaluate the levels of cardiovascular health among Chinese adults and to understand the geographic pattern of cardiovascular health. METHODS: In 2015, a total of 74,726 respondents aged ≥ 20 years with no history of cardiovascular disease were randomly sampled from 298 counties/districts of 31 provinces in mainland China and were interviewed. Seven metrics, including smoking, body mass index, physical activity, diet, total cholesterol, blood pressure, and fasting glucose, were determined. Ideal cardiovascular health was defined as the simultaneous presence of all metrics at the ideal level. A score ranging from 0 to 14 was calculated as the sum of all seven metrics for each province. Scores for cardiovascular health behaviors (smoking, body mass index, physical activity and diet) and those for cardiovascular health factors (smoking, total cholesterol, blood pressure, and fasting glucose) were also calculated. FINDINGS: The mean age was 44.4 ± 15.9 years, and 49.3% were women. The age-sex-standardized prevalence of ideal cardiovascular health was universally poor, ranging from 0.02% [95% confidence interval (CI): 0%, 0.05%] in Tibet to 2.76% (95% CI: 0.45%, 5.07%) in Heilongjiang. Ideal diet (7.1%) was the least common factor of the seven metrics in each province and varied considerably across provinces. Other component metrics of ideal cardiovascular health were also spatially patterned. In all provinces, women had higher scores than men for cardiovascular health, health behaviors and health factors. Differences in cardiovascular health and health behavior scores between urban and rural areas were associated with levels of socio-economic development. INTERPRETATION: Strategies for addressing poor cardiovascular health require geographic targeting and localized consideration. FUNDING: This research was supported by National Key R&D Program, the Shenzhen Strategic Emerging Industry Development Special Fund, and the Fund of "Sanming" Project of Medicine in Shenzhen. Elsevier 2020-09-30 /pmc/articles/PMC8315622/ /pubmed/34327384 http://dx.doi.org/10.1016/j.lanwpc.2020.100033 Text en © 2020 Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Paper
Zhang, Mei
Shi, Yu
Shi, Oumin
Zhao, Zhenping
Zhang, Xiao
Li, Chun
Huang, Zhengjing
Zhao, Liyun
Wang, Limin
Li, Yichong
Li, Xinhua
Geographical variations in cardiovascular health in China: A nationwide population-based survey of 74,726 adults
title Geographical variations in cardiovascular health in China: A nationwide population-based survey of 74,726 adults
title_full Geographical variations in cardiovascular health in China: A nationwide population-based survey of 74,726 adults
title_fullStr Geographical variations in cardiovascular health in China: A nationwide population-based survey of 74,726 adults
title_full_unstemmed Geographical variations in cardiovascular health in China: A nationwide population-based survey of 74,726 adults
title_short Geographical variations in cardiovascular health in China: A nationwide population-based survey of 74,726 adults
title_sort geographical variations in cardiovascular health in china: a nationwide population-based survey of 74,726 adults
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8315622/
https://www.ncbi.nlm.nih.gov/pubmed/34327384
http://dx.doi.org/10.1016/j.lanwpc.2020.100033
work_keys_str_mv AT zhangmei geographicalvariationsincardiovascularhealthinchinaanationwidepopulationbasedsurveyof74726adults
AT shiyu geographicalvariationsincardiovascularhealthinchinaanationwidepopulationbasedsurveyof74726adults
AT shioumin geographicalvariationsincardiovascularhealthinchinaanationwidepopulationbasedsurveyof74726adults
AT zhaozhenping geographicalvariationsincardiovascularhealthinchinaanationwidepopulationbasedsurveyof74726adults
AT zhangxiao geographicalvariationsincardiovascularhealthinchinaanationwidepopulationbasedsurveyof74726adults
AT lichun geographicalvariationsincardiovascularhealthinchinaanationwidepopulationbasedsurveyof74726adults
AT huangzhengjing geographicalvariationsincardiovascularhealthinchinaanationwidepopulationbasedsurveyof74726adults
AT zhaoliyun geographicalvariationsincardiovascularhealthinchinaanationwidepopulationbasedsurveyof74726adults
AT wanglimin geographicalvariationsincardiovascularhealthinchinaanationwidepopulationbasedsurveyof74726adults
AT liyichong geographicalvariationsincardiovascularhealthinchinaanationwidepopulationbasedsurveyof74726adults
AT lixinhua geographicalvariationsincardiovascularhealthinchinaanationwidepopulationbasedsurveyof74726adults