Cargando…
Association between socioeconomic status and incident stroke in China
BACKGROUND: Little is known about the impact of socioeconomic status (SES) on incidence of stroke in China. This study aimed to examine the association of SES, which was measured by different indicators, with incidence of stroke and gender differences in the association. METHODS AND RESULTS: Two pro...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7320795/ https://www.ncbi.nlm.nih.gov/pubmed/32341052 http://dx.doi.org/10.1136/jech-2019-213515 |
_version_ | 1783551318247342080 |
---|---|
author | Zhou, Weiju Chen, Ruoling Hopkins, Alex Wang, Yulong Tang, Jie Chen, Xiangyan Clifford, Angela Pan, Yuesong Forthby, Ken Ni, Jindong Wang, Duolao Brunner, Eric |
author_facet | Zhou, Weiju Chen, Ruoling Hopkins, Alex Wang, Yulong Tang, Jie Chen, Xiangyan Clifford, Angela Pan, Yuesong Forthby, Ken Ni, Jindong Wang, Duolao Brunner, Eric |
author_sort | Zhou, Weiju |
collection | PubMed |
description | BACKGROUND: Little is known about the impact of socioeconomic status (SES) on incidence of stroke in China. This study aimed to examine the association of SES, which was measured by different indicators, with incidence of stroke and gender differences in the association. METHODS AND RESULTS: Two prospective cohort studies were conducted including 2852 participants aged ≥60 years in Anhui province and 3016 participants in four other provinces in China. During a median follow-up of 7.1 years, 211 incident stroke cases occurred in the Anhui cohort. The risk of stroke increased with living in rural areas (adjusted HR 2.49, 95% CI 1.19 to 5.22; women 3.64, 95% CI 1.17 to 11.32, men 2.23, 95% CI 0.81 to 6.19), but not significantly with educational level, occupational class, satisfactory income and financial problems (except for women with low education). The four-province cohort had 113 incident stroke cases over the 3.1 years’ follow-up. The five SES indicators were not significantly associated with incident stroke (except for increased risk in men with high occupation), but additional measurement for actual income showed that incident stroke increased in women with low personal income and in men with high family income. Pooled data from the two cohorts demonstrated the impacts of rural living (1.66, 95% CI 1.08 to 2.57) and having high occupational class (1.56, 95% CI 1.01 to 2.38), and gender differences for women with low education (2.26, 95% CI 1.19 to 4.27). CONCLUSIONS: Rural living and being female with low SES are associated with increased stroke risk in China. Strategies to improve public health in the rural communities and gender-specific targets for health inequality should be an integral component of stroke interventions. |
format | Online Article Text |
id | pubmed-7320795 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-73207952020-07-01 Association between socioeconomic status and incident stroke in China Zhou, Weiju Chen, Ruoling Hopkins, Alex Wang, Yulong Tang, Jie Chen, Xiangyan Clifford, Angela Pan, Yuesong Forthby, Ken Ni, Jindong Wang, Duolao Brunner, Eric J Epidemiol Community Health Original Research BACKGROUND: Little is known about the impact of socioeconomic status (SES) on incidence of stroke in China. This study aimed to examine the association of SES, which was measured by different indicators, with incidence of stroke and gender differences in the association. METHODS AND RESULTS: Two prospective cohort studies were conducted including 2852 participants aged ≥60 years in Anhui province and 3016 participants in four other provinces in China. During a median follow-up of 7.1 years, 211 incident stroke cases occurred in the Anhui cohort. The risk of stroke increased with living in rural areas (adjusted HR 2.49, 95% CI 1.19 to 5.22; women 3.64, 95% CI 1.17 to 11.32, men 2.23, 95% CI 0.81 to 6.19), but not significantly with educational level, occupational class, satisfactory income and financial problems (except for women with low education). The four-province cohort had 113 incident stroke cases over the 3.1 years’ follow-up. The five SES indicators were not significantly associated with incident stroke (except for increased risk in men with high occupation), but additional measurement for actual income showed that incident stroke increased in women with low personal income and in men with high family income. Pooled data from the two cohorts demonstrated the impacts of rural living (1.66, 95% CI 1.08 to 2.57) and having high occupational class (1.56, 95% CI 1.01 to 2.38), and gender differences for women with low education (2.26, 95% CI 1.19 to 4.27). CONCLUSIONS: Rural living and being female with low SES are associated with increased stroke risk in China. Strategies to improve public health in the rural communities and gender-specific targets for health inequality should be an integral component of stroke interventions. BMJ Publishing Group 2020-06 2020-06-01 /pmc/articles/PMC7320795/ /pubmed/32341052 http://dx.doi.org/10.1136/jech-2019-213515 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Original Research Zhou, Weiju Chen, Ruoling Hopkins, Alex Wang, Yulong Tang, Jie Chen, Xiangyan Clifford, Angela Pan, Yuesong Forthby, Ken Ni, Jindong Wang, Duolao Brunner, Eric Association between socioeconomic status and incident stroke in China |
title | Association between socioeconomic status and incident stroke in China |
title_full | Association between socioeconomic status and incident stroke in China |
title_fullStr | Association between socioeconomic status and incident stroke in China |
title_full_unstemmed | Association between socioeconomic status and incident stroke in China |
title_short | Association between socioeconomic status and incident stroke in China |
title_sort | association between socioeconomic status and incident stroke in china |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7320795/ https://www.ncbi.nlm.nih.gov/pubmed/32341052 http://dx.doi.org/10.1136/jech-2019-213515 |
work_keys_str_mv | AT zhouweiju associationbetweensocioeconomicstatusandincidentstrokeinchina AT chenruoling associationbetweensocioeconomicstatusandincidentstrokeinchina AT hopkinsalex associationbetweensocioeconomicstatusandincidentstrokeinchina AT wangyulong associationbetweensocioeconomicstatusandincidentstrokeinchina AT tangjie associationbetweensocioeconomicstatusandincidentstrokeinchina AT chenxiangyan associationbetweensocioeconomicstatusandincidentstrokeinchina AT cliffordangela associationbetweensocioeconomicstatusandincidentstrokeinchina AT panyuesong associationbetweensocioeconomicstatusandincidentstrokeinchina AT forthbyken associationbetweensocioeconomicstatusandincidentstrokeinchina AT nijindong associationbetweensocioeconomicstatusandincidentstrokeinchina AT wangduolao associationbetweensocioeconomicstatusandincidentstrokeinchina AT brunnereric associationbetweensocioeconomicstatusandincidentstrokeinchina |