• Christina Dornquast, Lars E Kroll, Hannelore K Neuhauser, Stefan N Willich, Thomas Reinhold, and Markus A Busch.
• Institute for Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin; Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin; German Center for Cardiovascular Research (DZHK), Berlin Site.
• Dtsch Arztebl Int. 2016 Oct 21; 113 (42): 704711704-711.

BackgroundCardiovascular disease continues to be the single most common cause of death and to account for the largest single portion of treatment costs in Germany. Reliable data on regional differences in the frequency of cardio - vascular disease are important for the planning of targeted care structures and preventive measures.MethodsPooled data from the German Health Update (GEDA), a nationwide telephone health survey conducted in 2009, 2010 and 2012 (n = 62 214) were used to estimate the lifetime prevalence of major cardiovascular disease (self-reported medical diagnosis of myocardial infarction, other coronary heart disease, stroke, or congestive heart failure) in each of the German federal states. The influence of sociodemographic factors on regional prevalence differences was examined in adjusted logistic regression analyses. Prevalences were compared with mortality rates from cardiovascular disease that were obtained from cause-of-death statistics.ResultsThe lifetime prevalence of cardiovascular disease in Germany ranged from 10.0% in Baden-W¨rttemberg to 15.8% in Saxony-Anhalt. After adjustment for age, sex, socioeconomic status, and size of the communities of residence, nine of the other 15 states had significantly higher prevalences than Baden-W¨rttemberg, with odds ratios ranging from 1.26 (Hesse) to 1.55 (Saxony-Anhalt). Four of the five states that previously constituted the German Democratic Republic (East Germany) had above-average figures for prevalence and mortality.ConclusionThere are relevant differences among the German federal states in the lifetime prevalence of major cardiovascular disease, which are only partly accounted for by differences in age and sex distribution, socioeconomic status, and community size.

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