Do the risk factors for type 2 diabetes mellitus vary by location? A spatial analysis of health insurance claims in Northeastern Germany using kernel density estimation and geographically weighted regression

[1] Glynn LG(2011)The prevalence of multimorbidity in primary care and its effect on health care utilization and cost Fam Pract 28 516-523

[2] Valderas JM(2005)Socioeconomic differences in the prevalence of common chronic diseases: an overview of eight European countries Int J Epidemiol 34 316-326

[3] Healy P(2013)Using spatial analysis to predict health care use at the local level: a case study of type 2 diabetes medication use and its association with demograpHic change and socioeconomic status PLoS ONE 8 e72730-2355

[4] Burke E(2006)Socioeconomic status and trends in disparities in 4 major risk factors for cardiovascular disease among US adults, 1971–2002 Arch Intern Med 166 2348-467

[5] Newell J(2006)Socioeconomic status and ischaemic heart disease mortality in 10 western European populations during the 1990s Heart 92 461-626

[6] Gillespie P(2012)Wie „bedarfsgerecht “ist die Bedarfsplanung? Eine Analyse der regionalen Verteilung der vertragsärztlichen Versorgung Gesundheitswesen 74 618-163

[7] Dalstra JA(2014)Kleinräumige Versorgungsforschung Wo sich Wissenschaft, Praxis und Politik treffen Bundesgesundheitsbl 57 161-439

[8] Kunst AE(2011)Geographic distribution of diagnosed diabetes in the US: a diabetes belt Am J Prev Med 40 434-1053

[9] Borrell C(2004)Global prevalence of diabetes estimates for the year 2000 and projections for 2030 Diabetes Care 27 1047-2367

[10] Breeze E(2011)Location, location, location: geographic clustering of lower-extremity amputation among Medicare beneficiaries with diabetes Diabetes Care 34 2363-1383

[1] Glynn LG(2011)The prevalence of multimorbidity in primary care and its effect on health care utilization and cost Fam Pract 28 516-523

[2] Valderas JM(2005)Socioeconomic differences in the prevalence of common chronic diseases: an overview of eight European countries Int J Epidemiol 34 316-326

[3] Healy P(2013)Using spatial analysis to predict health care use at the local level: a case study of type 2 diabetes medication use and its association with demograpHic change and socioeconomic status PLoS ONE 8 e72730-2355

[4] Burke E(2006)Socioeconomic status and trends in disparities in 4 major risk factors for cardiovascular disease among US adults, 1971–2002 Arch Intern Med 166 2348-467

[5] Newell J(2006)Socioeconomic status and ischaemic heart disease mortality in 10 western European populations during the 1990s Heart 92 461-626

[6] Gillespie P(2012)Wie „bedarfsgerecht “ist die Bedarfsplanung? Eine Analyse der regionalen Verteilung der vertragsärztlichen Versorgung Gesundheitswesen 74 618-163

[7] Dalstra JA(2014)Kleinräumige Versorgungsforschung Wo sich Wissenschaft, Praxis und Politik treffen Bundesgesundheitsbl 57 161-439

[8] Kunst AE(2011)Geographic distribution of diagnosed diabetes in the US: a diabetes belt Am J Prev Med 40 434-1053

[9] Borrell C(2004)Global prevalence of diabetes estimates for the year 2000 and projections for 2030 Diabetes Care 27 1047-2367

[10] Breeze E(2011)Location, location, location: geographic clustering of lower-extremity amputation among Medicare beneficiaries with diabetes Diabetes Care 34 2363-1383