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Neighborhood socioeconomic characteristics and statin medication in patients with myocardial infarction: a Swedish nationwide follow-up study

Overview of attention for article published in BMC Cardiovascular Disorders, July 2016
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Title
Neighborhood socioeconomic characteristics and statin medication in patients with myocardial infarction: a Swedish nationwide follow-up study
Published in
BMC Cardiovascular Disorders, July 2016
DOI 10.1186/s12872-016-0319-y
Pubmed ID
Authors

Per-Ola Forsberg, Xinjun Li, Kristina Sundquist

Abstract

Coronary heart disease (CHD) and myocardial infarction (MI) are associated with neighborhood-level socioeconomic status (SES). Statins are important drugs for secondary prevention of MI. However, no study has determined whether neighborhood-level SES is associated with statin medication in MI patients. We aimed to determine whether there is a difference in statin medication rate in MI patients across different levels of neighborhood SES. All patients in Sweden, diagnosed with incident MI from January 1st, 2000 until December 31(st) 2010, were followed (n = 116,840). Of these, 89.7 % received statin medication. Data were analyzed by multilevel logistic regression, with individual-level characteristics (age, marital status, family income, educational attainment, country of origin, urban/rural status and comorbidities/chronic conditions related to MI) as covariates. Low neighborhood-level SES was significantly associated with low statin medication rate (Odds Ratio 0.80). In the full model, which took into account individual-level socioeconomic characteristics and MI comorbidities, the odds no longer remained significant. Individual-level approaches may be most important in health care policies regarding statin medication in MI patients.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 3%
Unknown 36 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 19%
Student > Ph. D. Student 6 16%
Student > Master 5 14%
Researcher 3 8%
Student > Postgraduate 2 5%
Other 5 14%
Unknown 9 24%
Readers by discipline Count As %
Medicine and Dentistry 10 27%
Nursing and Health Professions 4 11%
Unspecified 2 5%
Biochemistry, Genetics and Molecular Biology 2 5%
Social Sciences 2 5%
Other 3 8%
Unknown 14 38%