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Published in: BMC Public Health 1/2018

Open Access 01-12-2018 | Research article

Regional differences of macrovascular disease in Northeast and South Germany: the population-based SHIP-TREND and KORA-F4 studies

Authors: Violetta Ptushkina, Esther Jacobs, Sabine Schipf, Henry Völzke, Marcello Ricardo Paulista Markus, Matthias Nauck, Christa Meisinger, Annette Peters, Werner Maier, Christian Herder, Michael Roden, Wolfgang Rathmann

Published in: BMC Public Health | Issue 1/2018

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Abstract

Background

Previous studies found regional differences in the prevalence and incidence of type 2 diabetes between Northeast and South of Germany. The aim of this study was to investigate if regional variations are also present for macrovascular disease in people with type 2 diabetes and in the general population. A further aim was to investigate if traditional risk factors of macrovascular complications can explain these regional variations.

Methods

Data of persons aged 30–79 from two regional population-based studies, SHIP-TREND (Northeast Germany, 2008–2012, n = 2539) and KORA-F4 (South Germany, 2006–2008, n = 2932), were analysed. Macrovascular disease was defined by self-reported previous myocardial infarction, stroke or coronary angiography. Multivariable logistic regression was performed to estimate odds ratios (OR) and 95% confidence intervals (CI) for prevalence of macrovascular disease in persons with type 2 diabetes and in the general population.

Results

The prevalence of macrovascular disease in persons with type 2 diabetes and in the general population was considerably higher in the Northeast (SHIP-TREND: 32.8 and 12.0%) than in the South of Germany (KORA-F4: 24.9 and 8.8%), respectively. The odds of macrovascular disease in persons with type 2 diabetes was 1.66 (95% CI: 1.11–2.49) in the Northeast in comparison to the South after adjustment for sex, age, body mass index, hypertension, hyperlipidemia and smoking. In the general population, SHIP-TREND participants also had a significantly increased odds of macrovascular disease compared to KORA-F4 participants (OR = 1.63, 95% CI: 1.33–2.00). After excluding coronary angiography (myocardial infarction or stroke only), the ORs for region decreased in all models, but the difference between SHIP-TREND and KORA-F4 participants was still significant in the age- and sex-adjusted model for the general population (OR = 1.34, 95% CI: 1.01–1.78).

Conclusions

This study provides an indication for regional differences in macrovascular disease, which is not explained by traditional risk factors. Further examinations of other risk factors, such as regional deprivation or geographical variations in medical care services are needed.
Literature
1.
go back to reference International Diabetes Federation. IDF Diabetes Atlas. 8th ed. Brussels: International Diabetes Federation; 2017. International Diabetes Federation. IDF Diabetes Atlas. 8th ed. Brussels: International Diabetes Federation; 2017.
2.
go back to reference Ogurtsova K, da Rocha Fernandes JD, Huang Y, Linnenkamp U, Guariguata L, Cho NH, et al. IDF diabetes atlas: global estimates for the prevalence of diabetes for 2015 and 2040. Diabetes Res Clin Pract. 2017;128:40–50.CrossRef Ogurtsova K, da Rocha Fernandes JD, Huang Y, Linnenkamp U, Guariguata L, Cho NH, et al. IDF diabetes atlas: global estimates for the prevalence of diabetes for 2015 and 2040. Diabetes Res Clin Pract. 2017;128:40–50.CrossRef
3.
go back to reference Tamayo T, Rosenbauer J, Wild SH, Spijkerman AMW, Baan C, Forouhi NG, et al. Diabetes in Europe: an update. Diabetes Res Clin Pract. 2014;103(2):206–17.CrossRef Tamayo T, Rosenbauer J, Wild SH, Spijkerman AMW, Baan C, Forouhi NG, et al. Diabetes in Europe: an update. Diabetes Res Clin Pract. 2014;103(2):206–17.CrossRef
4.
go back to reference Schipf S, Werner A, Tamayo T, Holle R, Schunk M, Maier W, et al. Regional differences in the prevalence of known type 2 diabetes mellitus in 45-74 years old individuals: results from six population-based studies in Germany (DIAB-CORE consortium). Diabet Med. 2012;29(7):e88–95.CrossRef Schipf S, Werner A, Tamayo T, Holle R, Schunk M, Maier W, et al. Regional differences in the prevalence of known type 2 diabetes mellitus in 45-74 years old individuals: results from six population-based studies in Germany (DIAB-CORE consortium). Diabet Med. 2012;29(7):e88–95.CrossRef
5.
go back to reference Schipf S, Ittermann T, Tamayo T, Holle R, Schunk M, Maier W, et al. Regional differences in the incidence of self-reported type 2 diabetes in Germany: results from five population-based studies in Germany (DIAB-CORE consortium). J Epidemiol Community Health. 2014;68(11):1088–95.CrossRef Schipf S, Ittermann T, Tamayo T, Holle R, Schunk M, Maier W, et al. Regional differences in the incidence of self-reported type 2 diabetes in Germany: results from five population-based studies in Germany (DIAB-CORE consortium). J Epidemiol Community Health. 2014;68(11):1088–95.CrossRef
6.
go back to reference Tamayo T, Schipf S, Meisinger C, Schunk M, Maier W, Herder C, et al. Regional differences of undiagnosed type 2 diabetes and prediabetes prevalence are not explained by known risk factors. PLoS One. 2014;9(11):e113154.CrossRef Tamayo T, Schipf S, Meisinger C, Schunk M, Maier W, Herder C, et al. Regional differences of undiagnosed type 2 diabetes and prediabetes prevalence are not explained by known risk factors. PLoS One. 2014;9(11):e113154.CrossRef
7.
go back to reference Rydén L, Grant PJ, Anker SD, Berne C, Cosentino F, Danchin N, et al. ESC guidelines on diabetes, pre-diabetes, and cardiovascular diseases developed in collaboration with the EASD. Eur Heart J. 2013;34(39):3035–87.CrossRef Rydén L, Grant PJ, Anker SD, Berne C, Cosentino F, Danchin N, et al. ESC guidelines on diabetes, pre-diabetes, and cardiovascular diseases developed in collaboration with the EASD. Eur Heart J. 2013;34(39):3035–87.CrossRef
8.
go back to reference Shah AD, Langenberg C, Rapsomaniki E, Denaxas S, Pujades-Rodriguez M, Gale CP, et al. Type 2 diabetes and incidence of cardiovascular diseases: a cohort study in 1·9 million people. Lancet Diabetes Endocrinol 2015;3(2):105–13. Shah AD, Langenberg C, Rapsomaniki E, Denaxas S, Pujades-Rodriguez M, Gale CP, et al. Type 2 diabetes and incidence of cardiovascular diseases: a cohort study in 1·9 million people. Lancet Diabetes Endocrinol 2015;3(2):105–13.
9.
go back to reference Rao Kondapally Seshasai S, Kaptoge S, Thompson A, Di Angelantonio E, Gao P, Sarwar N, et al. Diabetes mellitus, fasting glucose, and risk of cause-specific death. N Engl J Med. 2011;364(9):829–41.CrossRef Rao Kondapally Seshasai S, Kaptoge S, Thompson A, Di Angelantonio E, Gao P, Sarwar N, et al. Diabetes mellitus, fasting glucose, and risk of cause-specific death. N Engl J Med. 2011;364(9):829–41.CrossRef
10.
go back to reference Zhang Y, Hu G, Yuan Z, Chen L. Glycosylated hemoglobin in relationship to cardiovascular outcomes and death in patients with type 2 diabetes: a systematic review and meta-analysis. PLoS One. 2012;7(8).CrossRef Zhang Y, Hu G, Yuan Z, Chen L. Glycosylated hemoglobin in relationship to cardiovascular outcomes and death in patients with type 2 diabetes: a systematic review and meta-analysis. PLoS One. 2012;7(8).CrossRef
11.
go back to reference Ng CS, Lee JYC, Toh MP, Ko Y. Cost-of-illness studies of diabetes mellitus: a systematic review. Diabetes Res Clin Pract. 2014;105(2):151–63.CrossRef Ng CS, Lee JYC, Toh MP, Ko Y. Cost-of-illness studies of diabetes mellitus: a systematic review. Diabetes Res Clin Pract. 2014;105(2):151–63.CrossRef
12.
go back to reference Völzke H, Alte D, Schmidt CO, Radke D, Lorbeer R, Friedrich N, et al. Cohort profile: the study of health in Pomerania. Int J Epidemiol. 2011;40(2):294–307.CrossRef Völzke H, Alte D, Schmidt CO, Radke D, Lorbeer R, Friedrich N, et al. Cohort profile: the study of health in Pomerania. Int J Epidemiol. 2011;40(2):294–307.CrossRef
13.
go back to reference Laxy M, Holle R, Döring A, Peters A, Hunger M. The longitudinal association between weight change and health-related quality of life: the KORA S4/F4 cohort study. Int J Public Health. 2014;59(2):279–88.CrossRef Laxy M, Holle R, Döring A, Peters A, Hunger M. The longitudinal association between weight change and health-related quality of life: the KORA S4/F4 cohort study. Int J Public Health. 2014;59(2):279–88.CrossRef
14.
go back to reference Rathmann W, Haastert B, Icks A, Löwel H, Meisinger C, Holle R, et al. High prevalence of undiagnosed diabetes mellitus in southern Germany: target populations for efficient screening. The KORA survey 2000. Diabetologia. 2003;46(2):182–9.CrossRef Rathmann W, Haastert B, Icks A, Löwel H, Meisinger C, Holle R, et al. High prevalence of undiagnosed diabetes mellitus in southern Germany: target populations for efficient screening. The KORA survey 2000. Diabetologia. 2003;46(2):182–9.CrossRef
15.
go back to reference Möckel M, Searle J, Jeschke E. Indikation, Prognose und regionale Unterschiede der Herzkatheterversorgung in Deutschland. In: Klauber J, Günster C, Gerste B, Robra B-P, Schmacke N, editors. Versorgungs-Report. Schwerpunkt: Depression. Stuttgart: Schattauer; 2014. Möckel M, Searle J, Jeschke E. Indikation, Prognose und regionale Unterschiede der Herzkatheterversorgung in Deutschland. In: Klauber J, Günster C, Gerste B, Robra B-P, Schmacke N, editors. Versorgungs-Report. Schwerpunkt: Depression. Stuttgart: Schattauer; 2014.
16.
go back to reference American Diabetes Association. Standards of medical Care in Diabetes-2012. Diabetes Care. 2012;35(Suppl 1):S11–63. American Diabetes Association. Standards of medical Care in Diabetes-2012. Diabetes Care. 2012;35(Suppl 1):S11–63.
17.
go back to reference Maier W, Holle R, Hunger M, Peters A, Meisinger C, Greiser KH, et al. The impact of regional deprivation and individual socio-economic status on the prevalence of type 2 diabetes in Germany. A pooled analysis of five population-based studies. Diabet Med. 2013;30(3):e78–86.CrossRef Maier W, Holle R, Hunger M, Peters A, Meisinger C, Greiser KH, et al. The impact of regional deprivation and individual socio-economic status on the prevalence of type 2 diabetes in Germany. A pooled analysis of five population-based studies. Diabet Med. 2013;30(3):e78–86.CrossRef
18.
go back to reference Stöckl D, Rückert-Eheberg I-M, Heier M, Peters A, Schipf S, Krabbe C, et al. Regional variability of lifestyle factors and hypertension with prediabetes and newly diagnosed type 2 diabetes mellitus: the population-based KORA-F4 and SHIP-TREND studies in Germany. PLoS One. 2016;11(6):e0156736.CrossRef Stöckl D, Rückert-Eheberg I-M, Heier M, Peters A, Schipf S, Krabbe C, et al. Regional variability of lifestyle factors and hypertension with prediabetes and newly diagnosed type 2 diabetes mellitus: the population-based KORA-F4 and SHIP-TREND studies in Germany. PLoS One. 2016;11(6):e0156736.CrossRef
19.
go back to reference Rückert I-M, Schunk M, Holle R, Schipf S, Völzke H, Kluttig A, et al. Blood pressure and lipid management fall far short in persons with type 2 diabetes: results from the DIAB-CORE consortium including six German population-based studies. Cardiovasc Diabetol. 2012;11:50.CrossRef Rückert I-M, Schunk M, Holle R, Schipf S, Völzke H, Kluttig A, et al. Blood pressure and lipid management fall far short in persons with type 2 diabetes: results from the DIAB-CORE consortium including six German population-based studies. Cardiovasc Diabetol. 2012;11:50.CrossRef
20.
go back to reference Beilby J. Definition of metabolic syndrome: report of the National Heart, Lung, and Blood Institute/American Heart Association conference on scientific issues related to definition. Clin Biochem Rev. 2004;25(3):195–8.PubMedCentral Beilby J. Definition of metabolic syndrome: report of the National Heart, Lung, and Blood Institute/American Heart Association conference on scientific issues related to definition. Clin Biochem Rev. 2004;25(3):195–8.PubMedCentral
21.
go back to reference Dornquast C, Kroll LE, Neuhauser HK, Willich SN, Reinhold T, Busch MA. Regional differences in the prevalence of cardiovascular disease-results from the German Health Update (GEDA) from 2009–2012. Cologne. Dtsch Arztebl Int. 2016;113:704–11. Dornquast C, Kroll LE, Neuhauser HK, Willich SN, Reinhold T, Busch MA. Regional differences in the prevalence of cardiovascular disease-results from the German Health Update (GEDA) from 2009–2012. Cologne. Dtsch Arztebl Int. 2016;113:704–11.
22.
go back to reference Müller-Nordhorn J, Rossnagel K, Mey W, Willich SN. Regional variation and time trends in mortality from ischaemic heart disease: East and West Germany 10 years after reunification. London. J Epidemiol Community Health. 2004;58:481–5. Müller-Nordhorn J, Rossnagel K, Mey W, Willich SN. Regional variation and time trends in mortality from ischaemic heart disease: East and West Germany 10 years after reunification. London. J Epidemiol Community Health. 2004;58:481–5.
23.
go back to reference Gaber E, Wildner M. Sterblichkeit, Todesursachen und regionale Unterschiede. Gesundheitsberichterstattung des Bundes. Heft 52. Robert Koch-Inst. 2011. Gaber E, Wildner M. Sterblichkeit, Todesursachen und regionale Unterschiede. Gesundheitsberichterstattung des Bundes. Heft 52. Robert Koch-Inst. 2011.
24.
go back to reference Robert Koch-Institut: 25 Jahre nach dem Fall der Mauer: regionale Unterschiede in der Gesundheit. Beiträge zur Gesundheitsberichterstattung des Bundes. GBE kompakt - 3/2014. Berlin: RKI; 2014. Robert Koch-Institut: 25 Jahre nach dem Fall der Mauer: regionale Unterschiede in der Gesundheit. Beiträge zur Gesundheitsberichterstattung des Bundes. GBE kompakt - 3/2014. Berlin: RKI; 2014.
25.
go back to reference WHO: Global Health Risks - Mortality and burden of disease attributable to selected major risks. 2009. WHO: Global Health Risks - Mortality and burden of disease attributable to selected major risks. 2009.
26.
go back to reference Diederichs C, Neuhauser H, Kroll L, Lange C, Mensink G, Dornquast C, et al. Regional differences in the prevalence of cardiovascular risk factors in men and women in Germany. Bundesgesundheitsbl Gesundheitsforsch Gesundheitsschutz. 2017;60(2):151–62.CrossRef Diederichs C, Neuhauser H, Kroll L, Lange C, Mensink G, Dornquast C, et al. Regional differences in the prevalence of cardiovascular risk factors in men and women in Germany. Bundesgesundheitsbl Gesundheitsforsch Gesundheitsschutz. 2017;60(2):151–62.CrossRef
27.
go back to reference Völzke H, Neuhauser H, Moebus S, Baumert J, Berger K, Stang A, et al. Regional disparities in smoking among adults in Germany. Berlin: Dtsch Arztebl; 2006. Völzke H, Neuhauser H, Moebus S, Baumert J, Berger K, Stang A, et al. Regional disparities in smoking among adults in Germany. Berlin: Dtsch Arztebl; 2006.
28.
go back to reference Hauner H, Bramlage P, Lösch C, Schunkert H, Wasem J, Jöckel K-H, et al. Overweight, obesity and high waist circumference – regional differences in prevalence in primary medical care. Berlin: Dtsch Arztebl; 2008. Hauner H, Bramlage P, Lösch C, Schunkert H, Wasem J, Jöckel K-H, et al. Overweight, obesity and high waist circumference – regional differences in prevalence in primary medical care. Berlin: Dtsch Arztebl; 2008.
29.
go back to reference Moebus S, Hanisch J, Bramlage P, Lösch C, Hauner H, Wasem J, et al. Regional differences in the prevalence of the metabolic syndrome in primary care practices in Germany. Dtsch Arzteblatt Int. 2008;105(12):207–13. Moebus S, Hanisch J, Bramlage P, Lösch C, Hauner H, Wasem J, et al. Regional differences in the prevalence of the metabolic syndrome in primary care practices in Germany. Dtsch Arzteblatt Int. 2008;105(12):207–13.
30.
go back to reference Diederichs C, Neuhauser H. Regional variations in hypertension prevalence and management in Germany: results from the German health interview and examination survey (DEGS1). J Hypertens. 2014;32(7):1405–14.CrossRef Diederichs C, Neuhauser H. Regional variations in hypertension prevalence and management in Germany: results from the German health interview and examination survey (DEGS1). J Hypertens. 2014;32(7):1405–14.CrossRef
31.
go back to reference Stang A, Stang M. An inter-state comparison of cardiovascular risk in Germany-towards an explanation of high ischemic heart disease mortality in Saxony-Anhalt. Cologne: Dtsch Arztebl Int; 2014. Stang A, Stang M. An inter-state comparison of cardiovascular risk in Germany-towards an explanation of high ischemic heart disease mortality in Saxony-Anhalt. Cologne: Dtsch Arztebl Int; 2014.
33.
go back to reference Robert Koch-Institut: 20 Jahre nach dem Fall der Mauer: Wie hat sich die Gesundheit in Deutschland entwickelt? Gesundheitsberichterstattung des Bundes. Berlin: RKI; 2009. Robert Koch-Institut: 20 Jahre nach dem Fall der Mauer: Wie hat sich die Gesundheit in Deutschland entwickelt? Gesundheitsberichterstattung des Bundes. Berlin: RKI; 2009.
34.
go back to reference Mensink GBM, Beitz R. Food and nutrient intake in east and West Germany, 8 years after the reunification - the German nutrition survey 1998. Eur J Clin Nutr. 2004;58(7):1000–10.CrossRef Mensink GBM, Beitz R. Food and nutrient intake in east and West Germany, 8 years after the reunification - the German nutrition survey 1998. Eur J Clin Nutr. 2004;58(7):1000–10.CrossRef
35.
go back to reference Winkler G, Holtz H, Döring A. Comparison of food intakes of selected populations in former east and West Germany: results from the MONICA projects Erfurt and Augsburg. Ann Nutr Metab. 1992;36(4):219–34.CrossRef Winkler G, Holtz H, Döring A. Comparison of food intakes of selected populations in former east and West Germany: results from the MONICA projects Erfurt and Augsburg. Ann Nutr Metab. 1992;36(4):219–34.CrossRef
36.
go back to reference Augustin J, Austermann J, Erasmi S. Netzwerkanalysen in der regionalen Versorgungsforschung: Das Beispiel der dermatologischen Versorgung in der Metropolregion Hamburg. Georg Thieme Verl KG Stuttg 2016. Augustin J, Austermann J, Erasmi S. Netzwerkanalysen in der regionalen Versorgungsforschung: Das Beispiel der dermatologischen Versorgung in der Metropolregion Hamburg. Georg Thieme Verl KG Stuttg 2016.
37.
go back to reference Maier W. Messung und Bewertung regionaler Deprivation. In: Geographie der Gesundheit. Augustin, Koller (Hrsg.); 2017. Maier W. Messung und Bewertung regionaler Deprivation. In: Geographie der Gesundheit. Augustin, Koller (Hrsg.); 2017.
38.
go back to reference Kivimäki M, Lawlor DA, Davey Smith G, Kouvonen A, Virtanen M, Elovainio M, et al. Socioeconomic position, co-occurrence of behavior-related risk factors, and coronary heart disease: the Finnish public sector study. Am J Public Health. 2007;97(5):874–9.CrossRef Kivimäki M, Lawlor DA, Davey Smith G, Kouvonen A, Virtanen M, Elovainio M, et al. Socioeconomic position, co-occurrence of behavior-related risk factors, and coronary heart disease: the Finnish public sector study. Am J Public Health. 2007;97(5):874–9.CrossRef
39.
go back to reference Maier W, Scheidt-Nave C, Holle R, Kroll LE, Lampert T, Du Y, et al. Area level deprivation is an independent determinant of prevalent type 2 diabetes and obesity at the national level in Germany. Results from the National Telephone Health Interview Surveys “German health update” GEDA 2009 and 2010. PLoS One. 2014;9(2):e89661.CrossRef Maier W, Scheidt-Nave C, Holle R, Kroll LE, Lampert T, Du Y, et al. Area level deprivation is an independent determinant of prevalent type 2 diabetes and obesity at the national level in Germany. Results from the National Telephone Health Interview Surveys “German health update” GEDA 2009 and 2010. PLoS One. 2014;9(2):e89661.CrossRef
40.
go back to reference Cohen BE, Edmondson D, Kronish IM. State of the art review: depression, stress, anxiety, and cardiovascular disease. Am J Hypertens. 2015;28(11):1295–302.CrossRef Cohen BE, Edmondson D, Kronish IM. State of the art review: depression, stress, anxiety, and cardiovascular disease. Am J Hypertens. 2015;28(11):1295–302.CrossRef
41.
go back to reference Techniker Krankenkasse: Depressionsatlas - Auswertungen zu Arbeitsunfähigkeit und Arzneiverordnungen. Hamburg: Tech Krankenkasse; 2015. Techniker Krankenkasse: Depressionsatlas - Auswertungen zu Arbeitsunfähigkeit und Arzneiverordnungen. Hamburg: Tech Krankenkasse; 2015.
42.
go back to reference Roth GA, Dwyer-Lindgren L, Bertozzi-Villa A, Stubbs RW, Morozoff C, Naghavi M, et al. Trends and patterns of geographic variation in cardiovascular mortality among US counties, 1980-2014. JAMA. 2017;317(19):1976–92.CrossRef Roth GA, Dwyer-Lindgren L, Bertozzi-Villa A, Stubbs RW, Morozoff C, Naghavi M, et al. Trends and patterns of geographic variation in cardiovascular mortality among US counties, 1980-2014. JAMA. 2017;317(19):1976–92.CrossRef
43.
go back to reference Filate WA, Johansen HL, Kennedy CC, Tu JV. Regional variations in cardiovascular mortality in Canada. Can J Cardiol. 2003;19(11):1241–8.PubMed Filate WA, Johansen HL, Kennedy CC, Tu JV. Regional variations in cardiovascular mortality in Canada. Can J Cardiol. 2003;19(11):1241–8.PubMed
44.
go back to reference Starrin B, Larsson G, Brenner SO. Regional variations in cardiovascular mortality in Sweden--structural vulnerability in the local community. Soc Sci Med. 1988;27(9):911–7.CrossRef Starrin B, Larsson G, Brenner SO. Regional variations in cardiovascular mortality in Sweden--structural vulnerability in the local community. Soc Sci Med. 1988;27(9):911–7.CrossRef
45.
go back to reference Ueshima H, Ohsaka T, Asakura S. Regional differences in stroke mortality and alcohol consumption in Japan. Stroke. 1986;17(1):19–24.CrossRef Ueshima H, Ohsaka T, Asakura S. Regional differences in stroke mortality and alcohol consumption in Japan. Stroke. 1986;17(1):19–24.CrossRef
46.
go back to reference Lawlor DA, Bedford C, Taylor M, Ebrahim S. Geographical variation in cardiovascular disease, risk factors, and their control in older women: British Women’s heart and health study. J Epidemiol Community Health. 2003;57(2):134–40.CrossRef Lawlor DA, Bedford C, Taylor M, Ebrahim S. Geographical variation in cardiovascular disease, risk factors, and their control in older women: British Women’s heart and health study. J Epidemiol Community Health. 2003;57(2):134–40.CrossRef
47.
go back to reference Gupta R, Guptha S, Sharma KK, Gupta A, Deedwania P. Regional variations in cardiovascular risk factors in India: India heart watch. World J Cardiol. 2012;4(4):112–20.CrossRef Gupta R, Guptha S, Sharma KK, Gupta A, Deedwania P. Regional variations in cardiovascular risk factors in India: India heart watch. World J Cardiol. 2012;4(4):112–20.CrossRef
48.
go back to reference Wojtyniak B, Jankowski K, Zdrojewski T, Opolski G. Regional differences in determining cardiovascular diseases as the cause of death in Poland: time for change. Kardiol Pol. 2012;70(7):695–701.PubMed Wojtyniak B, Jankowski K, Zdrojewski T, Opolski G. Regional differences in determining cardiovascular diseases as the cause of death in Poland: time for change. Kardiol Pol. 2012;70(7):695–701.PubMed
49.
go back to reference Davletov K, McKee M, Berkinbayev S, Battakova Z, Vujnovic M, Rechel B. Regional differences in cardiovascular mortality in Kazakhstan: further evidence for the “Russian mortality paradox”? Eur J Pub Health. 2015;25(5):890–4.CrossRef Davletov K, McKee M, Berkinbayev S, Battakova Z, Vujnovic M, Rechel B. Regional differences in cardiovascular mortality in Kazakhstan: further evidence for the “Russian mortality paradox”? Eur J Pub Health. 2015;25(5):890–4.CrossRef
50.
go back to reference Romon I, Jougla E, Balkau B, Fagot-Campagna A. The burden of diabetes-related mortality in France in 2002: an analysis using both underlying and multiple causes of death. Eur J Epidemiol. 2008;23(5):327–34.CrossRef Romon I, Jougla E, Balkau B, Fagot-Campagna A. The burden of diabetes-related mortality in France in 2002: an analysis using both underlying and multiple causes of death. Eur J Epidemiol. 2008;23(5):327–34.CrossRef
51.
go back to reference Gregg EW, Sattar N, Ali MK. The changing face of diabetes complications. Lancet Diabetes Endocrinol. 2016;4(6):537–47.CrossRef Gregg EW, Sattar N, Ali MK. The changing face of diabetes complications. Lancet Diabetes Endocrinol. 2016;4(6):537–47.CrossRef
52.
go back to reference Fox CS, Coady S, Sorlie PD, Levy D, Meigs JB, D’Agostino RB, et al. Trends in cardiovascular complications of diabetes. JAMA. 2004;292(20):2495–9.CrossRef Fox CS, Coady S, Sorlie PD, Levy D, Meigs JB, D’Agostino RB, et al. Trends in cardiovascular complications of diabetes. JAMA. 2004;292(20):2495–9.CrossRef
53.
go back to reference Gregg EW, Li Y, Wang J, Burrows NR, Ali MK, Rolka D, et al. Changes in diabetes-related complications in the United States, 1990-2010. N Engl J Med. 2014;370(16):1514–23.CrossRef Gregg EW, Li Y, Wang J, Burrows NR, Ali MK, Rolka D, et al. Changes in diabetes-related complications in the United States, 1990-2010. N Engl J Med. 2014;370(16):1514–23.CrossRef
54.
go back to reference Booth GL, Kapral MK, Fung K, Tu JV. Recent trends in cardiovascular complications among men and women with and without diabetes. Diabetes Care. 2006;29(1):32–7.CrossRef Booth GL, Kapral MK, Fung K, Tu JV. Recent trends in cardiovascular complications among men and women with and without diabetes. Diabetes Care. 2006;29(1):32–7.CrossRef
55.
go back to reference Icks A, Dickhaus T, Hörmann A, Heier M, Giani G, Kuch B, et al. Differences in trends in estimated incidence of myocardial infarction in non-diabetic and diabetic people: monitoring trends and determinants on cardiovascular diseases (MONICA)/cooperative Health Research in the region of Augsburg (KORA) registry. Diabetologia. 2009;52(9):1836–41.CrossRef Icks A, Dickhaus T, Hörmann A, Heier M, Giani G, Kuch B, et al. Differences in trends in estimated incidence of myocardial infarction in non-diabetic and diabetic people: monitoring trends and determinants on cardiovascular diseases (MONICA)/cooperative Health Research in the region of Augsburg (KORA) registry. Diabetologia. 2009;52(9):1836–41.CrossRef
56.
go back to reference Courtemanche C, Tchernis R, Ukert B. The effect of smoking on obesity: evidence from a randomized trial. J Health Econ. 2017;57:31–44.CrossRef Courtemanche C, Tchernis R, Ukert B. The effect of smoking on obesity: evidence from a randomized trial. J Health Econ. 2017;57:31–44.CrossRef
57.
go back to reference Pankova A, Kralikova E, Fraser K, Lajka J, Svacina S, Matoulek M. No difference in hypertension prevalence in smokers, former smokers and non-smokers after adjusting for body mass index and age: a cross-sectional study from the Czech Republic, 2010. Tob Induc Dis. 2015;13(1):24.CrossRef Pankova A, Kralikova E, Fraser K, Lajka J, Svacina S, Matoulek M. No difference in hypertension prevalence in smokers, former smokers and non-smokers after adjusting for body mass index and age: a cross-sectional study from the Czech Republic, 2010. Tob Induc Dis. 2015;13(1):24.CrossRef
58.
go back to reference Margolis KL, Qi L, Brzyski R, Bonds DE, Howard BV, Kempainen S, et al. Validity of diabetes self-reports in the Women’s health initiative: comparison with medication inventories and fasting glucose measurements. Clin Trials Lond Engl. 2008;5(3):240–7.CrossRef Margolis KL, Qi L, Brzyski R, Bonds DE, Howard BV, Kempainen S, et al. Validity of diabetes self-reports in the Women’s health initiative: comparison with medication inventories and fasting glucose measurements. Clin Trials Lond Engl. 2008;5(3):240–7.CrossRef
59.
go back to reference Molenaar EA, Van Ameijden EJC, Grobbee DE, Numans ME. Comparison of routine care self-reported and biometrical data on hypertension and diabetes: results of the Utrecht health project. Eur J Pub Health. 2007;17(2):199–205.CrossRef Molenaar EA, Van Ameijden EJC, Grobbee DE, Numans ME. Comparison of routine care self-reported and biometrical data on hypertension and diabetes: results of the Utrecht health project. Eur J Pub Health. 2007;17(2):199–205.CrossRef
Metadata
Title
Regional differences of macrovascular disease in Northeast and South Germany: the population-based SHIP-TREND and KORA-F4 studies
Authors
Violetta Ptushkina
Esther Jacobs
Sabine Schipf
Henry Völzke
Marcello Ricardo Paulista Markus
Matthias Nauck
Christa Meisinger
Annette Peters
Werner Maier
Christian Herder
Michael Roden
Wolfgang Rathmann
Publication date
01-12-2018
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2018
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-018-6265-0

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