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

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 gene...

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Autores principales: Ptushkina, Violetta, Jacobs, Esther, Schipf, Sabine, Völzke, Henry, Markus, Marcello Ricardo Paulista, Nauck, Matthias, Meisinger, Christa, Peters, Annette, Maier, Werner, Herder, Christian, Roden, Michael, Rathmann, Wolfgang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6276210/
https://www.ncbi.nlm.nih.gov/pubmed/30509230
http://dx.doi.org/10.1186/s12889-018-6265-0
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author Ptushkina, Violetta
Jacobs, Esther
Schipf, Sabine
Völzke, Henry
Markus, Marcello Ricardo Paulista
Nauck, Matthias
Meisinger, Christa
Peters, Annette
Maier, Werner
Herder, Christian
Roden, Michael
Rathmann, Wolfgang
author_facet Ptushkina, Violetta
Jacobs, Esther
Schipf, Sabine
Völzke, Henry
Markus, Marcello Ricardo Paulista
Nauck, Matthias
Meisinger, Christa
Peters, Annette
Maier, Werner
Herder, Christian
Roden, Michael
Rathmann, Wolfgang
author_sort Ptushkina, Violetta
collection PubMed
description 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.
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spelling pubmed-62762102018-12-06 Regional differences of macrovascular disease in Northeast and South Germany: the population-based SHIP-TREND and KORA-F4 studies Ptushkina, Violetta Jacobs, Esther Schipf, Sabine Völzke, Henry Markus, Marcello Ricardo Paulista Nauck, Matthias Meisinger, Christa Peters, Annette Maier, Werner Herder, Christian Roden, Michael Rathmann, Wolfgang BMC Public Health Research Article 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. BioMed Central 2018-12-03 /pmc/articles/PMC6276210/ /pubmed/30509230 http://dx.doi.org/10.1186/s12889-018-6265-0 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Ptushkina, Violetta
Jacobs, Esther
Schipf, Sabine
Völzke, Henry
Markus, Marcello Ricardo Paulista
Nauck, Matthias
Meisinger, Christa
Peters, Annette
Maier, Werner
Herder, Christian
Roden, Michael
Rathmann, Wolfgang
Regional differences of macrovascular disease in Northeast and South Germany: the population-based SHIP-TREND and KORA-F4 studies
title Regional differences of macrovascular disease in Northeast and South Germany: the population-based SHIP-TREND and KORA-F4 studies
title_full Regional differences of macrovascular disease in Northeast and South Germany: the population-based SHIP-TREND and KORA-F4 studies
title_fullStr Regional differences of macrovascular disease in Northeast and South Germany: the population-based SHIP-TREND and KORA-F4 studies
title_full_unstemmed Regional differences of macrovascular disease in Northeast and South Germany: the population-based SHIP-TREND and KORA-F4 studies
title_short Regional differences of macrovascular disease in Northeast and South Germany: the population-based SHIP-TREND and KORA-F4 studies
title_sort regional differences of macrovascular disease in northeast and south germany: the population-based ship-trend and kora-f4 studies
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6276210/
https://www.ncbi.nlm.nih.gov/pubmed/30509230
http://dx.doi.org/10.1186/s12889-018-6265-0
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