Document Detail

Type 2 diabetes: prevalence and relevance of genetic and acquired factors for its prediction.
MedLine Citation:
PMID:  23762204     Owner:  NLM     Status:  In-Data-Review    
BACKGROUND: The epidemiology of type 2 diabetes in Germany is of major societal interest, as is the question of the predictive value of genetic and acquired risk factors.
METHODS: We present clinically relevant aspects of these topics on the basis of a selective review of pertinent literature retrieved by a PubMed search that centered on population-based studies.
RESULTS: The German Health Interview and Examination Survey for Adults (Studie zur Gesundheit Erwachsener in Deutschland [DEGS1], 2008-2011) revealed that diabetes was diagnosed in 7.2% of the population aged 18 to 79 years (women 7.4%, men 7.0%). These figures are two percentage points higher than those found in the preceding national survey (1998). The percentage of cases that were not captured by these surveys is estimated at 2% to 7% depending on the method. Independently of personal factors (the individual's life style), it seems that living in a disadvantaged region characterized by high unemployment, air pollution, and poor infrastructure raises the risk of diabetes. Moreover, type 2 diabetes has a substantial hereditary component. More than 60 genetic regions have been identified to date that affect the risk of type 2 diabetes, yet all of them together account for only 10% to 15% of the genetic background of the disease.
CONCLUSION: The prevalence of type 2 diabetes in Germany has risen in recent years. The discovery of new genetic ariants that confer a higher risk of developing the disease has improved our understanding of insulin secretion in diabetes pathogenesis rather than the prediction of individual diabetes risk ("personalized medicine").
Wolfgang Rathmann; Christa Scheidt-Nave; Michael Roden; Christian Herder
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Publication Detail:
Type:  Journal Article     Date:  2013-05-10
Journal Detail:
Title:  Deutsches Ärzteblatt international     Volume:  110     ISSN:  1866-0452     ISO Abbreviation:  Dtsch Arztebl Int     Publication Date:  2013 May 
Date Detail:
Created Date:  2013-06-13     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101475967     Medline TA:  Dtsch Arztebl Int     Country:  Germany    
Other Details:
Languages:  eng     Pagination:  331-7     Citation Subset:  IM    
Institute of Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf.
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