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Geographic Variations of Stroke Incidence in Chinese Communities: An 18-Year Prospective Cohort Study from 1997 to 2015

BACKGROUND AND PURPOSE: As a leading cause of disability and death in China, stroke as well as its epidemiologic features have gained increasing attention. Prior studies, however, have overgeneralized the north-to-south gradient in China. Whether the differences exist across urban and rural areas re...

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Autores principales: Xia, Fan, Yu, Xuexin, Li, Yunke, Chen, Yuqi, Zhang, Wei, You, Chao, Hu, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Stroke Society 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7568967/
https://www.ncbi.nlm.nih.gov/pubmed/33053950
http://dx.doi.org/10.5853/jos.2020.02383
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author Xia, Fan
Yu, Xuexin
Li, Yunke
Chen, Yuqi
Zhang, Wei
You, Chao
Hu, Xin
author_facet Xia, Fan
Yu, Xuexin
Li, Yunke
Chen, Yuqi
Zhang, Wei
You, Chao
Hu, Xin
author_sort Xia, Fan
collection PubMed
description BACKGROUND AND PURPOSE: As a leading cause of disability and death in China, stroke as well as its epidemiologic features have gained increasing attention. Prior studies, however, have overgeneralized the north-to-south gradient in China. Whether the differences exist across urban and rural areas remains unexplored. This study therefore aims to investigate the north-to-south gradient in stroke incidence across urban and rural China. METHODS: The present prospective cohort study analyzed data from the China Health and Nutrition Survey 1997 to 2015. By including 16,917 individuals from diverse social contexts, we calculated the age-standardized incidence of stroke across regions and the age-adjusted risk ratio (aRR). Cox proportional hazards models with time-varying covariates were employed to analyze variations in incident stroke. RESULTS: During the follow-up, age-standardized incidence of stroke ranged from 4.17 per 1,000 person-years (95% confidence interval [CI], 3.38 to 4.96) in the north region to 1.95 (95% CI, 1.60 to 2.30) in the south region (aRR, 2.04; 95% CI, 1.58 to 2.64; P<0.001). The north-to-south gradient of stroke incidence was observed only in rural areas, but not in urban areas. Hierarchical modelling analyses further indicated that the regional differences could be mostly explained by the disparities in the prevalence of hypertension. CONCLUSIONS: The present study extends the current evidence on the north-to-south gradient by demonstrating that the difference varied across urban and rural China. Our findings highlight the importance of hypertension management as the measure for alleviating regional differences in stroke incidence.
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spelling pubmed-75689672020-10-22 Geographic Variations of Stroke Incidence in Chinese Communities: An 18-Year Prospective Cohort Study from 1997 to 2015 Xia, Fan Yu, Xuexin Li, Yunke Chen, Yuqi Zhang, Wei You, Chao Hu, Xin J Stroke Original Article BACKGROUND AND PURPOSE: As a leading cause of disability and death in China, stroke as well as its epidemiologic features have gained increasing attention. Prior studies, however, have overgeneralized the north-to-south gradient in China. Whether the differences exist across urban and rural areas remains unexplored. This study therefore aims to investigate the north-to-south gradient in stroke incidence across urban and rural China. METHODS: The present prospective cohort study analyzed data from the China Health and Nutrition Survey 1997 to 2015. By including 16,917 individuals from diverse social contexts, we calculated the age-standardized incidence of stroke across regions and the age-adjusted risk ratio (aRR). Cox proportional hazards models with time-varying covariates were employed to analyze variations in incident stroke. RESULTS: During the follow-up, age-standardized incidence of stroke ranged from 4.17 per 1,000 person-years (95% confidence interval [CI], 3.38 to 4.96) in the north region to 1.95 (95% CI, 1.60 to 2.30) in the south region (aRR, 2.04; 95% CI, 1.58 to 2.64; P<0.001). The north-to-south gradient of stroke incidence was observed only in rural areas, but not in urban areas. Hierarchical modelling analyses further indicated that the regional differences could be mostly explained by the disparities in the prevalence of hypertension. CONCLUSIONS: The present study extends the current evidence on the north-to-south gradient by demonstrating that the difference varied across urban and rural China. Our findings highlight the importance of hypertension management as the measure for alleviating regional differences in stroke incidence. Korean Stroke Society 2020-09 2020-09-29 /pmc/articles/PMC7568967/ /pubmed/33053950 http://dx.doi.org/10.5853/jos.2020.02383 Text en Copyright © 2020 Korean Stroke Society This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Xia, Fan
Yu, Xuexin
Li, Yunke
Chen, Yuqi
Zhang, Wei
You, Chao
Hu, Xin
Geographic Variations of Stroke Incidence in Chinese Communities: An 18-Year Prospective Cohort Study from 1997 to 2015
title Geographic Variations of Stroke Incidence in Chinese Communities: An 18-Year Prospective Cohort Study from 1997 to 2015
title_full Geographic Variations of Stroke Incidence in Chinese Communities: An 18-Year Prospective Cohort Study from 1997 to 2015
title_fullStr Geographic Variations of Stroke Incidence in Chinese Communities: An 18-Year Prospective Cohort Study from 1997 to 2015
title_full_unstemmed Geographic Variations of Stroke Incidence in Chinese Communities: An 18-Year Prospective Cohort Study from 1997 to 2015
title_short Geographic Variations of Stroke Incidence in Chinese Communities: An 18-Year Prospective Cohort Study from 1997 to 2015
title_sort geographic variations of stroke incidence in chinese communities: an 18-year prospective cohort study from 1997 to 2015
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7568967/
https://www.ncbi.nlm.nih.gov/pubmed/33053950
http://dx.doi.org/10.5853/jos.2020.02383
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