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Risk factors for stroke in a population of central China: A cross-sectional study
The incidence and mortality rates of stroke in China are higher than the world average, seriously endangering the public’s health and quality of life. It is important to predict the incidence of stroke, identify the high-risk factors in the region, and raise the risk awareness of high-risk groups. T...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9678587/ https://www.ncbi.nlm.nih.gov/pubmed/36401452 http://dx.doi.org/10.1097/MD.0000000000031946 |
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author | Wang, Honglian Wu, Mingcan Tu, Qingfen Li, Maokun |
author_facet | Wang, Honglian Wu, Mingcan Tu, Qingfen Li, Maokun |
author_sort | Wang, Honglian |
collection | PubMed |
description | The incidence and mortality rates of stroke in China are higher than the world average, seriously endangering the public’s health and quality of life. It is important to predict the incidence of stroke, identify the high-risk factors in the region, and raise the risk awareness of high-risk groups. This study sought to investigate and analyze the distribution of stroke population and the main risk factors for stroke occurrence in a Chinese population, and to predict the probability of stroke occurrence in high-risk groups with risk factors, so as to provide a scientific basis for the comprehensive prevention and treatment of stroke. A whole-group sampling method was used to investigate 1009 participants in Jingzhou city in central China, and a uniform questionnaire survey and related medical examinations were conducted. The risk factors for stroke in the area were analyzed by univariate analysis, and a multifactorial logistic regression prediction model was established based on the results of univariate analysis. The results of univariate and multifactorial logistic regression analyses suggested that gender, age, family history of stroke, hypertension, atrial fibrillation, diabetes, and sedentary lifestyle were significantly associated with an increased risk of stroke in the local population (all P < .05). The top 5 risk factors for stroke were atrial fibrillation (odds ratio [OR] = 5.225, 95% confidence interval [CI]: 2.826–9.663), sedentary lifestyle (OR = 2.701, 95% CI: 1.667–4.376), age (≥65 years) (OR = 2.593, 95% CI: 1.680–4.004), hypertension (OR = 2.106, 95% CI: 1.380–3.216), and gender (male) (OR = 2.099, 95% CI: 1.270–3.471). This study effectively identifies the high risk factors for stroke and provides scientific insights for risk assessment, intervention of risk factors, and decision making of health management departments in the central region of China. The modifable risk factors for stroke such as smoking, hypertension, atrial fibrillation, diabetes mellitus, and sedentary lifestyle were also observed. Our findings further highlight the significant of the primary and secondary prevention for stroke and reveal the potential targets to reduce the heavy stroke burden in China around the world. |
format | Online Article Text |
id | pubmed-9678587 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-96785872022-11-22 Risk factors for stroke in a population of central China: A cross-sectional study Wang, Honglian Wu, Mingcan Tu, Qingfen Li, Maokun Medicine (Baltimore) 5300 The incidence and mortality rates of stroke in China are higher than the world average, seriously endangering the public’s health and quality of life. It is important to predict the incidence of stroke, identify the high-risk factors in the region, and raise the risk awareness of high-risk groups. This study sought to investigate and analyze the distribution of stroke population and the main risk factors for stroke occurrence in a Chinese population, and to predict the probability of stroke occurrence in high-risk groups with risk factors, so as to provide a scientific basis for the comprehensive prevention and treatment of stroke. A whole-group sampling method was used to investigate 1009 participants in Jingzhou city in central China, and a uniform questionnaire survey and related medical examinations were conducted. The risk factors for stroke in the area were analyzed by univariate analysis, and a multifactorial logistic regression prediction model was established based on the results of univariate analysis. The results of univariate and multifactorial logistic regression analyses suggested that gender, age, family history of stroke, hypertension, atrial fibrillation, diabetes, and sedentary lifestyle were significantly associated with an increased risk of stroke in the local population (all P < .05). The top 5 risk factors for stroke were atrial fibrillation (odds ratio [OR] = 5.225, 95% confidence interval [CI]: 2.826–9.663), sedentary lifestyle (OR = 2.701, 95% CI: 1.667–4.376), age (≥65 years) (OR = 2.593, 95% CI: 1.680–4.004), hypertension (OR = 2.106, 95% CI: 1.380–3.216), and gender (male) (OR = 2.099, 95% CI: 1.270–3.471). This study effectively identifies the high risk factors for stroke and provides scientific insights for risk assessment, intervention of risk factors, and decision making of health management departments in the central region of China. The modifable risk factors for stroke such as smoking, hypertension, atrial fibrillation, diabetes mellitus, and sedentary lifestyle were also observed. Our findings further highlight the significant of the primary and secondary prevention for stroke and reveal the potential targets to reduce the heavy stroke burden in China around the world. Lippincott Williams & Wilkins 2022-11-18 /pmc/articles/PMC9678587/ /pubmed/36401452 http://dx.doi.org/10.1097/MD.0000000000031946 Text en Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC) (https://creativecommons.org/licenses/by-nc/4.0/) , where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. |
spellingShingle | 5300 Wang, Honglian Wu, Mingcan Tu, Qingfen Li, Maokun Risk factors for stroke in a population of central China: A cross-sectional study |
title | Risk factors for stroke in a population of central China: A cross-sectional study |
title_full | Risk factors for stroke in a population of central China: A cross-sectional study |
title_fullStr | Risk factors for stroke in a population of central China: A cross-sectional study |
title_full_unstemmed | Risk factors for stroke in a population of central China: A cross-sectional study |
title_short | Risk factors for stroke in a population of central China: A cross-sectional study |
title_sort | risk factors for stroke in a population of central china: a cross-sectional study |
topic | 5300 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9678587/ https://www.ncbi.nlm.nih.gov/pubmed/36401452 http://dx.doi.org/10.1097/MD.0000000000031946 |
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