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Socioeconomic status predicts the risk of stroke death: A systematic review and meta-analysis
Low socioeconomic status appears to be an independent risk factor for stroke mortality in epidemiology studies, but there has been no systematic assessment of this association. We performed a systematic review and meta-analysis evaluating the association between low socioeconomic status and stroke m...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7264080/ https://www.ncbi.nlm.nih.gov/pubmed/32509509 http://dx.doi.org/10.1016/j.pmedr.2020.101124 |
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author | Wang, Siping Zhai, Huiying Wei, Lin Shen, Binyan Wang, Juan |
author_facet | Wang, Siping Zhai, Huiying Wei, Lin Shen, Binyan Wang, Juan |
author_sort | Wang, Siping |
collection | PubMed |
description | Low socioeconomic status appears to be an independent risk factor for stroke mortality in epidemiology studies, but there has been no systematic assessment of this association. We performed a systematic review and meta-analysis evaluating the association between low socioeconomic status and stroke mortality. A systematic review of MEDLINE, EMBASE, and Web of Science for cohort studies that reported low socioeconomic status and stroke mortality was conducted from inception until July 2017. Research information, adjusted risk ratio (RR) estimates and 95% confidence intervals (Cls) were extracted. Estimates were pooled using a random-effects model. Heterogeneity was examined using the Q statistic and I(2). Twenty-seven prospective cohort studies (471,354,852 subjects; 429,886 deaths) assessing stroke mortality with low socioeconomic status were identified. Compared with the highest socioeconomic status, overall RR of stroke mortality was 1.39 (95% CI, 1.31–1.48) for those with the lowest after adjustment for confounding factors, but there was substantial heterogeneity between studies (I(2) = 89.9%, P = 0.001). Significant relationships were observed between risk of stroke mortality and the lowest education (RR = 1.21, 95% CI 1.11–1.33; I(2) = 70.9%, P < 0.001), income (RR = 1.54, 95% CI 1.30–1.82; I(2) = 91.6%, P < 0.001), occupation (RR = 1.54, 95% CI 1.35–1.75; I(2) = 78.3%, P < 0.001), composite socioeconomic status (RR = 1.37, 95% CI 1.25–1.51; I(2) = 69.5%, P = 0.001). After subgroup analysis, it was found that the heterogeneity of each SES indicator mainly came from the follow-up time, study population, stroke type, study area. Patients with low socioeconomic status had a higher risk of stroke mortality. The heterogeneity of income and occupation is larger, and the education and composite SES is smaller. |
format | Online Article Text |
id | pubmed-7264080 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-72640802020-06-05 Socioeconomic status predicts the risk of stroke death: A systematic review and meta-analysis Wang, Siping Zhai, Huiying Wei, Lin Shen, Binyan Wang, Juan Prev Med Rep Review Article Low socioeconomic status appears to be an independent risk factor for stroke mortality in epidemiology studies, but there has been no systematic assessment of this association. We performed a systematic review and meta-analysis evaluating the association between low socioeconomic status and stroke mortality. A systematic review of MEDLINE, EMBASE, and Web of Science for cohort studies that reported low socioeconomic status and stroke mortality was conducted from inception until July 2017. Research information, adjusted risk ratio (RR) estimates and 95% confidence intervals (Cls) were extracted. Estimates were pooled using a random-effects model. Heterogeneity was examined using the Q statistic and I(2). Twenty-seven prospective cohort studies (471,354,852 subjects; 429,886 deaths) assessing stroke mortality with low socioeconomic status were identified. Compared with the highest socioeconomic status, overall RR of stroke mortality was 1.39 (95% CI, 1.31–1.48) for those with the lowest after adjustment for confounding factors, but there was substantial heterogeneity between studies (I(2) = 89.9%, P = 0.001). Significant relationships were observed between risk of stroke mortality and the lowest education (RR = 1.21, 95% CI 1.11–1.33; I(2) = 70.9%, P < 0.001), income (RR = 1.54, 95% CI 1.30–1.82; I(2) = 91.6%, P < 0.001), occupation (RR = 1.54, 95% CI 1.35–1.75; I(2) = 78.3%, P < 0.001), composite socioeconomic status (RR = 1.37, 95% CI 1.25–1.51; I(2) = 69.5%, P = 0.001). After subgroup analysis, it was found that the heterogeneity of each SES indicator mainly came from the follow-up time, study population, stroke type, study area. Patients with low socioeconomic status had a higher risk of stroke mortality. The heterogeneity of income and occupation is larger, and the education and composite SES is smaller. 2020-05-15 /pmc/articles/PMC7264080/ /pubmed/32509509 http://dx.doi.org/10.1016/j.pmedr.2020.101124 Text en © 2020 The Author(s) http://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 | Review Article Wang, Siping Zhai, Huiying Wei, Lin Shen, Binyan Wang, Juan Socioeconomic status predicts the risk of stroke death: A systematic review and meta-analysis |
title | Socioeconomic status predicts the risk of stroke death: A systematic review and meta-analysis |
title_full | Socioeconomic status predicts the risk of stroke death: A systematic review and meta-analysis |
title_fullStr | Socioeconomic status predicts the risk of stroke death: A systematic review and meta-analysis |
title_full_unstemmed | Socioeconomic status predicts the risk of stroke death: A systematic review and meta-analysis |
title_short | Socioeconomic status predicts the risk of stroke death: A systematic review and meta-analysis |
title_sort | socioeconomic status predicts the risk of stroke death: a systematic review and meta-analysis |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7264080/ https://www.ncbi.nlm.nih.gov/pubmed/32509509 http://dx.doi.org/10.1016/j.pmedr.2020.101124 |
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