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Socioeconomic status and stroke severity: Understanding indirect effects via risk factors and stroke prevention using innovative statistical methods for mediation analysis
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Statistics.ORCID iD: 0000-0002-4600-0060
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Statistics.ORCID iD: 0000-0003-3298-1555
Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Section of Medicine.ORCID iD: 0000-0002-5917-0384
2022 (English)In: PLOS ONE, E-ISSN 1932-6203, Vol. 17, no 6, article id e0270533Article in journal (Refereed) Published
Abstract [en]

Background: Those with low socioeconomic status have an increased risk of stroke, more severe strokes, reduced access to treatment, and more adverse outcomes after stroke. The question is why these differences are present. In this study we investigate to which extent the association between low socioeconomic status and stroke severity can be explained by differences in risk factors and stroke prevention drugs.

Methods: The study included 86 316 patients registered with an ischemic stroke in the Swedish Stroke Register (Riksstroke) 2012–2016. Data on socioeconomic status was retrieved from the Longitudinal integrated database for health insurance and labour market studies (LISA) by individual linkage. We used education level as proxy for socioeconomic status, with primary school education classified as low education. Stroke severity was measured using the Reaction Level Scale, with values above 1 classified as severe strokes. To investigate the pathways via risk factors and stroke prevention drugs we performed a mediation analysis estimating indirect and direct effects.

Results: Low education was associated with an excess risk of a severe stroke compared to mid/high education (absolute risk difference 1.4%, 95% CI: 1.0%-1.8%), adjusting for confounders. Of this association 28.5% was an indirect effect via risk factors (absolute risk difference 0.4%, 95% CI: 0.3%-0.5%), while the indirect effect via stroke prevention drugs was negligible.

Conclusion: Almost one third of the association between low education and severe stroke was explained by risk factors, and clinical effort should be taken to reduce these risk factors to decrease stroke severity among those with low socioeconomic status.

Place, publisher, year, edition, pages
Public Library of Science , 2022. Vol. 17, no 6, article id e0270533
National Category
Public Health, Global Health and Social Medicine Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:umu:diva-197294DOI: 10.1371/journal.pone.0270533ISI: 000892027900173PubMedID: 35749530Scopus ID: 2-s2.0-85132837107OAI: oai:DiVA.org:umu-197294DiVA, id: diva2:1676738
Part of project
What lies between? Uncovering the mechanisms behind socioeconomic inequalities in stroke care and outcome through innovative statistical methods for mediation analysis, Forte, Swedish Research Council for Health, Working Life and WelfareUncovering the mechanisms behind socioeconomic inequalities in stroke care and outcome through innovative statistical methods for mediation analysis, Swedish Research Council
Funder
Swedish Research Council, 2018-02670Forte, Swedish Research Council for Health, Working Life and Welfare, 2018-00852Available from: 2022-06-27 Created: 2022-06-27 Last updated: 2025-02-20Bibliographically approved

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Lindmark, AnitaEriksson, MarieDarehed, David

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