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Prevalence of stroke in China, 2013–2019: A population-based study
BACKGROUND: The stroke burden in China has increased during the past 40 years. The present study aimed to determine the recent trends in the prevalence of stroke from 2013 to 2019 stratified by sociodemographic characteristics, including sex, age, residence, ethnicity, and province within a populati...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9727498/ https://www.ncbi.nlm.nih.gov/pubmed/36507089 http://dx.doi.org/10.1016/j.lanwpc.2022.100550 |
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author | Tu, Wen-Jun Hua, Yang Yan, Feng Bian, Hetao Yang, Yi Lou, Min Kang, Dezhi He, Li Chu, Lan Zeng, Jingsheng Wu, Jian Chen, Huisheng Han, Jianfeng Ma, Lin Cao, Lei Wang, Longde |
author_facet | Tu, Wen-Jun Hua, Yang Yan, Feng Bian, Hetao Yang, Yi Lou, Min Kang, Dezhi He, Li Chu, Lan Zeng, Jingsheng Wu, Jian Chen, Huisheng Han, Jianfeng Ma, Lin Cao, Lei Wang, Longde |
author_sort | Tu, Wen-Jun |
collection | PubMed |
description | BACKGROUND: The stroke burden in China has increased during the past 40 years. The present study aimed to determine the recent trends in the prevalence of stroke from 2013 to 2019 stratified by sociodemographic characteristics, including sex, age, residence, ethnicity, and province within a population-based screening project in China. METHODS: We made use of data generated from 2013 to 2019 in the China Stroke High-risk Population Screening Program. All living subjects with confirmed stroke at interview were considered to have prevalent stroke. All analyses of prevalence of stroke were weighted and results were presented as percentage and 95% confidence interval (CI). FINDINGS: A total of 4229,616 Chinese adults aged ≥40 years from 227 cities in the 31 provinces were finally included. The enrollment rate ranged from 58.8% (2017) to 67.8% (2013). The weighted prevalence of stroke increased annually from 2013 to 2019, being 2.28% (95% CI: 2.28–2.28%) in 2013, 2.34% (2.34–2.35%) in 2014, 2.43% (2.43–2.43%) in 2015, 2.48% (2.48–2.48%) in 2016, 2.52% (2.52–2.52%) in 2017, 2.55% (2.55–2.55%) in 2018, and 2.58% (2.58–2.58%) in 2019 (p for trend <0.001). The weighted prevalence of stroke was higher for male sex, older age, and residence in rural and northeast areas. INTERPRETATION: The prevalence of stroke in China and most provinces has continued to increase in the past 7 years (2013–2019). These findings, especially in provinces with high stroke prevalence, can help public health officials to increase province capacity for stroke and related risk factors prevention. FUNDINGS: This study was supported by grants from the National Major Public Health Service Projects. |
format | Online Article Text |
id | pubmed-9727498 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-97274982022-12-08 Prevalence of stroke in China, 2013–2019: A population-based study Tu, Wen-Jun Hua, Yang Yan, Feng Bian, Hetao Yang, Yi Lou, Min Kang, Dezhi He, Li Chu, Lan Zeng, Jingsheng Wu, Jian Chen, Huisheng Han, Jianfeng Ma, Lin Cao, Lei Wang, Longde Lancet Reg Health West Pac Articles BACKGROUND: The stroke burden in China has increased during the past 40 years. The present study aimed to determine the recent trends in the prevalence of stroke from 2013 to 2019 stratified by sociodemographic characteristics, including sex, age, residence, ethnicity, and province within a population-based screening project in China. METHODS: We made use of data generated from 2013 to 2019 in the China Stroke High-risk Population Screening Program. All living subjects with confirmed stroke at interview were considered to have prevalent stroke. All analyses of prevalence of stroke were weighted and results were presented as percentage and 95% confidence interval (CI). FINDINGS: A total of 4229,616 Chinese adults aged ≥40 years from 227 cities in the 31 provinces were finally included. The enrollment rate ranged from 58.8% (2017) to 67.8% (2013). The weighted prevalence of stroke increased annually from 2013 to 2019, being 2.28% (95% CI: 2.28–2.28%) in 2013, 2.34% (2.34–2.35%) in 2014, 2.43% (2.43–2.43%) in 2015, 2.48% (2.48–2.48%) in 2016, 2.52% (2.52–2.52%) in 2017, 2.55% (2.55–2.55%) in 2018, and 2.58% (2.58–2.58%) in 2019 (p for trend <0.001). The weighted prevalence of stroke was higher for male sex, older age, and residence in rural and northeast areas. INTERPRETATION: The prevalence of stroke in China and most provinces has continued to increase in the past 7 years (2013–2019). These findings, especially in provinces with high stroke prevalence, can help public health officials to increase province capacity for stroke and related risk factors prevention. FUNDINGS: This study was supported by grants from the National Major Public Health Service Projects. Elsevier 2022-07-30 /pmc/articles/PMC9727498/ /pubmed/36507089 http://dx.doi.org/10.1016/j.lanwpc.2022.100550 Text en © 2022 The Authors 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 | Articles Tu, Wen-Jun Hua, Yang Yan, Feng Bian, Hetao Yang, Yi Lou, Min Kang, Dezhi He, Li Chu, Lan Zeng, Jingsheng Wu, Jian Chen, Huisheng Han, Jianfeng Ma, Lin Cao, Lei Wang, Longde Prevalence of stroke in China, 2013–2019: A population-based study |
title | Prevalence of stroke in China, 2013–2019: A population-based study |
title_full | Prevalence of stroke in China, 2013–2019: A population-based study |
title_fullStr | Prevalence of stroke in China, 2013–2019: A population-based study |
title_full_unstemmed | Prevalence of stroke in China, 2013–2019: A population-based study |
title_short | Prevalence of stroke in China, 2013–2019: A population-based study |
title_sort | prevalence of stroke in china, 2013–2019: a population-based study |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9727498/ https://www.ncbi.nlm.nih.gov/pubmed/36507089 http://dx.doi.org/10.1016/j.lanwpc.2022.100550 |
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