ArticleJournal of the American Heart Association2020
Sociodemographic Determinants of Acute Myocardial Infarction Hospitalization Risks in Florida.
Article in Journal of the American Heart Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Barriers and facilitators of readiness for hospital discharge in patients with myocardial infarction: a qualitative study: quality improvement study.Annals of medicine and surgery (2012) · 2024Article
- Thoughts about the change in incidence, treatment, and outcomes of first myocardial infarctions across the 21st century.European heart journal open · 2022Article
- Evaluating Levels of Community Participation in a University-Community Partnership: The Jackson Heart Study.Diseases (Basel, Switzerland) · 2022Article
- Twenty Years of Leading the Way among Cohort Studies in Community-Driven Outreach and Engagement: Jackson State University/Jackson Heart Study.International journal of environmental research and public health · 2021Review
- Sociodemographic Determinants of Acute Myocardial Infarction Hospitalization Risks in Florida.Journal of the American Heart Association · 2020Article
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Authors and funding
6 authors.
Funding
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Abstract
Background Identifying social determinants of myocardial infarction (MI) hospitalizations is crucial for reducing/eliminating health disparities. Therefore, our objectives were to identify sociodemographic determinants of MI hospitalization risks and to assess if the impacts of these determinants vary by geographic location in Florida. Methods and Results This is a retrospective ecologic study at the county level. We obtained data for principal and secondary MI hospitalizations for Florida residents for the 2005-2014 period and calculated age- and sex-adjusted MI hospitalization risks. We used a multivariable negative binomial model to identify sociodemographic determinants of MI hospitalization risks and a geographically weighted negative binomial model to assess if the strength of associations vary by location. There were 645 935 MI hospitalizations (median age, 72 years; 58.1%, men; 73.9%, white). Age- and sex-adjusted risks ranged from 18.49 to 69.48 cases/10 000 persons, and they were significantly higher in counties with low education levels (risk ratio [RR]=1.033,
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