Effects of socioeconomic status on risk of ischemic stroke: a case-control study in the Guangzhou population

Abstract Background The association between socioeconomic status (SES) and stroke risk remains controversial around the world. It is not clear that the effect of SES on stroke in China due to the lack of relevant research. We aimed to assess the association between SES and risks of first-ever ischemic stroke in Guangzhou, China. Methods Cases were recruited from neurology department in the First Affiliated Hospital of Guangdong Pharmaceutical University during September 2016–October 2017. Age- and sex-matched controls were derived from surgical departments, over the same period. SES was assessed based on education, occupation, and income. Education was divided into ≤6 years, 6–9 years, 10–12 years, and > 12 years. Family monthly income per capita was categorized into ≤¥1000, ¥1001–3000, ¥3001–5000, and > ¥5001. Occupation was stratified into manual, non-manual, no job, and retired. A multivariate logistic regression model was used to determine the association between SES and risk of ischemic stroke. Results In total, 347 ischemic stroke patients and 347 controls were recruited, with mean ages of 60.54 ± 13.13 and 60.56 ± 13.07 years, respectively. After adjusting for confounding factors, odds ratio (OR) for 6–9 years of education was 2.63 (95% confidence interval [CI] 1.45–4.75); > 12 years, 2.18 (1.25–3.82) compared with those for

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PID https://www.doi.org/10.6084/m9.figshare.c.4521221
PID https://www.doi.org/10.6084/m9.figshare.c.4521221.v1
PID https://www.doi.org/10.1186/s12889-019-6998-4
URL https://dx.doi.org/10.6084/m9.figshare.c.4521221
URL https://dx.doi.org/10.1186/s12889-019-6998-4
URL https://dx.doi.org/10.6084/m9.figshare.c.4521221.v1
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Author Wang, Siping
Author Shen, Binyan
Author Wu, Meiting
Author Chen, Ciyu
Author Wang, Juan
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Collected From Datacite
Hosted By figshare
Publication Date 2019-05-29
Publisher Figshare
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Resource Type Dataset
keyword FOS: Sociology
keyword FOS: Earth and related environmental sciences
system:type dataset
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Source https://science-innovation-policy.openaire.eu/search/dataset?datasetId=dedup_wf_001::30c144d553c8a5e09bcf26d3b7e40fec
Author jsonws_user
Last Updated 14 January 2021, 14:52 (CET)
Created 14 January 2021, 14:52 (CET)