Masterarbeit, 2016
31 Seiten, Note: B
This study investigates the relationship between area of residence and the risk of cardiovascular disease (CVD) and CVD-specific mortality among adults with type 1 diabetes mellitus (T1DM) in Stockholm County, Sweden. The primary objective is to assess whether adults living in disadvantaged areas experience an increased risk compared to those residing in other areas.
The study begins by outlining the background of CVD as a significant public health concern in Sweden and exploring previous research on the association between area of residence and CVD risk, particularly in adults with T1DM. The aim and research questions are then clearly stated. The methodology section details the study design, data sources, study setting, exposure, covariates, and outcomes. Statistical analysis methods are also described. The study's ethical considerations are discussed, followed by a presentation of the results, including socio-demographic characteristics of the study population and the association between area of residence and CVD risk and mortality. The discussion section interprets the findings, while the strengths and limitations of the study are critically evaluated. Finally, the conclusion and implications for public health are summarized.
The primary keywords and focus topics of the text include area of residence, cardiovascular disease, stroke, myocardial infarction, peripheral vascular disorders, mortality, morbidity, type 1 diabetes mellitus, health inequalities, and Swedish cohort study.
The study focuses on whether the area of residence (disadvantaged vs. other areas) increases the risk of cardiovascular disease (CVD) and CVD-specific mortality in adults with type 1 diabetes mellitus.
The study followed a cohort of 7,544 adults with type 1 diabetes mellitus, aged 40 to 80 years, living in Stockholm County.
The research assessed risks for general CVD, stroke, peripheral vascular disease, and myocardial infarction (heart attack).
The study found an adjusted hazard ratio of 1.9 for myocardial infarction, indicating a significantly higher risk for individuals living in disadvantaged areas.
The models were adjusted for age, gender, education, country of birth, social allowance, disability allowance, and disposable income.
The results highlight the presence of health inequalities at the area level, suggesting that public health interventions should target disadvantaged neighborhoods to reduce CVD risks for diabetic patients.
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