Details

Autor(en) / Beteiligte

• Schipf, Sabine
• Ittermann, Till
• Tamayo, Teresa
• Holle, Rolf
• Schunk, Michaela
• Maier, Werner
• Meisinger, Christine
• Thorand, Barbara
• Kluttig, Alexander
• Greiser, Karin Halina
• Berger, Klaus
• Müller, Grit
• Moebus, Susanne
• Slomiany, Uta
• Icks, Andrea
• Rathmann, Wolfgang
• Völzke, Henry

Titel

Regional differences in the incidence of self-reported type 2 diabetes in Germany: results from five population-based studies in Germany (DIAB-CORE Consortium)

Ist Teil von

• Journal of epidemiology and community health (1979), 2014-11, Vol.68 (11), p.1088-1095

Ort / Verlag

London: BMJ Publishing Group

Erscheinungsjahr

2014

Link zum Volltext

Quelle

BMJ Journals Archiv - DFG Nationallizenzen

Beschreibungen/Notizen

• Background Population-based data are paramount to investigate the long-term course of diabetes, for planning in healthcare and to evaluate the cost-effectiveness of primary prevention. We analysed regional differences in the incidence of self-reported type 2 diabetes mellitus in Germany. Methods Data of participants (baseline age 45–74 years) from five regional population-based studies conducted between 1997 and 2010 were included (mean follow-up 2.2–7.1 years). The incidence of self-reported type 2 diabetes mellitus at follow-up was compared. The incidence rates per 1000 person-years (95% CI) and the cumulative incidence (95% CI) from regional studies were directly standardised to the German population (31 December 2007) and weighted by inverse probability weights for losses to follow-up. Results Of 8787 participants, 521 (5.9%) developed type 2 diabetes mellitus corresponding to an incidence rate of 11.8/1000 person-years (95% CI 10.8 to 12.9). The regional incidence was highest in the East and lowest in the South of Germany with 16.9 (95% CI 13.3 to 21.8) vs 9.3 (95% CI 7.4 to 11.1)/1000 person-years, respectively. The incidence increased with age and was higher in men than in women. Conclusions The incidence of self-reported type 2 diabetes mellitus shows regional differences within Germany. Prevention measures need to consider sex-specific differences and probably can be more efficiently introduced toward those regions in need.