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Identification of Risk Factors for Stroke in China: A Meta-Analysis of Prospective Cohort Studies
This study aimed to identify independent risk factors for first occurrence of stroke in Chinese individuals based on prospective cohort studies. Forty prospective cohort studies assessing 1,984,552 individuals were selected for the final meta-analysis. The identified risk factors for stroke in the C...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8972128/ https://www.ncbi.nlm.nih.gov/pubmed/35370884 http://dx.doi.org/10.3389/fneur.2022.847304 |
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author | Yuan, Weizhuang Wu, Bo Lou, Min Song, Bo Han, Xiang Sheng, Feng Xu, Weihai |
author_facet | Yuan, Weizhuang Wu, Bo Lou, Min Song, Bo Han, Xiang Sheng, Feng Xu, Weihai |
author_sort | Yuan, Weizhuang |
collection | PubMed |
description | This study aimed to identify independent risk factors for first occurrence of stroke in Chinese individuals based on prospective cohort studies. Forty prospective cohort studies assessing 1,984,552 individuals were selected for the final meta-analysis. The identified risk factors for stroke in the Chinese population included old age (RR = 1.86, 95%CI: 1.47–2.36), hypertension (RR = 2.76, 95%CI: 2.26–3.37), cardiovascular disease history (RR = 1.98, 95%CI: 1.06–3.69), chronic kidney disease (RR = 1.65, 95%CI: 1.36–2.01), diabetes mellitus (RR = 1.71, 95%CI: 1.34–2.18), metabolic syndrome (RR = 1.59, 95%CI: 1.33–1.90), hyperglycemia (RR = 1.49, 95% CI: 1.31–1.69), obesity (RR = 1.45, 95%CI: 1.29–1.63), smoking (RR = 1.42, 95% CI: 1.27–1.58), prolonged sleep time (> 7.5 h, RR = 1.44, 95%CI: 1.19–1.75), higher levels of triglyceride (RR = 1.19, 95%CI: 1.07-1.32), C-reactive protein (RR = 1.34, 95%CI: 1.07-1.69). High fruit-rich diet (RR = 0.68, 95%CI: 0.58-0.80) was associated with a lower risk of stroke. The spectrum and power of risk factors varied among different cohort inclusion years. These findings provide a comprehensive tool for the primary prevention of stroke in Chinese individuals. |
format | Online Article Text |
id | pubmed-8972128 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89721282022-04-02 Identification of Risk Factors for Stroke in China: A Meta-Analysis of Prospective Cohort Studies Yuan, Weizhuang Wu, Bo Lou, Min Song, Bo Han, Xiang Sheng, Feng Xu, Weihai Front Neurol Neurology This study aimed to identify independent risk factors for first occurrence of stroke in Chinese individuals based on prospective cohort studies. Forty prospective cohort studies assessing 1,984,552 individuals were selected for the final meta-analysis. The identified risk factors for stroke in the Chinese population included old age (RR = 1.86, 95%CI: 1.47–2.36), hypertension (RR = 2.76, 95%CI: 2.26–3.37), cardiovascular disease history (RR = 1.98, 95%CI: 1.06–3.69), chronic kidney disease (RR = 1.65, 95%CI: 1.36–2.01), diabetes mellitus (RR = 1.71, 95%CI: 1.34–2.18), metabolic syndrome (RR = 1.59, 95%CI: 1.33–1.90), hyperglycemia (RR = 1.49, 95% CI: 1.31–1.69), obesity (RR = 1.45, 95%CI: 1.29–1.63), smoking (RR = 1.42, 95% CI: 1.27–1.58), prolonged sleep time (> 7.5 h, RR = 1.44, 95%CI: 1.19–1.75), higher levels of triglyceride (RR = 1.19, 95%CI: 1.07-1.32), C-reactive protein (RR = 1.34, 95%CI: 1.07-1.69). High fruit-rich diet (RR = 0.68, 95%CI: 0.58-0.80) was associated with a lower risk of stroke. The spectrum and power of risk factors varied among different cohort inclusion years. These findings provide a comprehensive tool for the primary prevention of stroke in Chinese individuals. Frontiers Media S.A. 2022-03-18 /pmc/articles/PMC8972128/ /pubmed/35370884 http://dx.doi.org/10.3389/fneur.2022.847304 Text en Copyright © 2022 Yuan, Wu, Lou, Song, Han, Sheng and Xu. 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 | Neurology Yuan, Weizhuang Wu, Bo Lou, Min Song, Bo Han, Xiang Sheng, Feng Xu, Weihai Identification of Risk Factors for Stroke in China: A Meta-Analysis of Prospective Cohort Studies |
title | Identification of Risk Factors for Stroke in China: A Meta-Analysis of Prospective Cohort Studies |
title_full | Identification of Risk Factors for Stroke in China: A Meta-Analysis of Prospective Cohort Studies |
title_fullStr | Identification of Risk Factors for Stroke in China: A Meta-Analysis of Prospective Cohort Studies |
title_full_unstemmed | Identification of Risk Factors for Stroke in China: A Meta-Analysis of Prospective Cohort Studies |
title_short | Identification of Risk Factors for Stroke in China: A Meta-Analysis of Prospective Cohort Studies |
title_sort | identification of risk factors for stroke in china: a meta-analysis of prospective cohort studies |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8972128/ https://www.ncbi.nlm.nih.gov/pubmed/35370884 http://dx.doi.org/10.3389/fneur.2022.847304 |
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