Literature DB >> 31390484

Age at diagnosis of Type 2 diabetes in Germany: a nationwide analysis based on claims data from 69 million people.

E Jacobs1,2, W Rathmann1,2, T Tönnies1, D Arendt3, M Marchowez3, L Veith3, O Kuss1,2,4, R Brinks1,5, A Hoyer1.   

Abstract

AIM: For many European countries, including Germany, no valid estimates are available on age at diagnosis of Type 2 diabetes. Thus, we aimed to estimate the age at diagnosis in Germany.
METHODS: Age at diagnosis of Type 2 diabetes in Germany was estimated based on Type 2 diabetes prevalence and incidence and the age distribution of the German population. Age- and sex-specific incidence and prevalence in 2014/2015, based on claims data from statutory health insurance (n= 69 000 000, ~85% of the German population), and the age pyramid for Germany in 2015 were used for the calculation. Age at Type 2 diabetes diagnosis was stratified by sex. CIs were estimated using bootstrap methods. In addition, the age range in which 50% of the population received a diagnosis of Type 2 diabetes was calculated (the interquartile range).
RESULTS: The mean ± sd age at Type 2 diabetes diagnosis in 2015 was 61.0 ± 13.4 years (95% CI 60.9-61.0) in men. Women were diagnosed ~2 years later than men (mean age 63.4 ± 14.9 years; 95% CI 63.4-63.5). The age range in which 50% of the population was diagnosed with diabetes was 53-72 years for men and 54-76 years for women.
CONCLUSIONS: The sex differences are mainly attributable to a higher incidence of Type 2 diabetes in men than women during middle age and the higher absolute number of women in the older ages. The early age at diabetes diagnosis compared to average life expectancy means that the risk of diabetes-related complications is increased.
© 2019 Diabetes UK.

Entities:  

Year:  2019        PMID: 31390484     DOI: 10.1111/dme.14100

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  5 in total

1.  The association between the risk of developing type 2 diabetes mellitus and health-related quality of life: baseline results from the Dimini lifestyle intervention.

Authors:  Franziska Püschner; Sarah Wetzel; Dominika Urbanski-Rini; Nick Bertram; Monika Schliffke; Martin Göhl; Carsten Petersen
Journal:  Qual Life Res       Date:  2021-05-19       Impact factor: 4.147

2.  Development a clinical prediction model of the neurological outcome for patients with coma and survived 24 hours after cardiopulmonary resuscitation.

Authors:  Hai Wang; Long Tang; Li Zhang; Zheng-Liang Zhang; Hong-Hong Pei
Journal:  Clin Cardiol       Date:  2020-06-23       Impact factor: 2.882

3.  Physical inactivity in healthy, obese, and diabetic adults in Germany: An analysis of related socio-demographic variables.

Authors:  Stephanie Linder; Karim Abu-Omar; Wolfgang Geidl; Sven Messing; Mustafa Sarshar; Anne K Reimers; Heiko Ziemainz
Journal:  PLoS One       Date:  2021-02-09       Impact factor: 3.240

4.  Endogenous Testosterone Levels Are Associated with Risk of Type 2 Diabetes in Women without Established Comorbidity.

Authors:  Jon J Rasmussen; Christian Selmer; Signe Frøssing; Morten Schou; Jens Faber; Christian Torp-Pedersen; Gunnar H Gislason; Lars Køber; David M Hougaard; Arieh S Cohen; Caroline Kistorp
Journal:  J Endocr Soc       Date:  2020-05-05

Review 5.  Safety of dipeptidyl peptidase-4 inhibitors in older adults with type 2 diabetes: a systematic review and meta-analysis of randomized controlled trials.

Authors:  Katharina Doni; Stefanie Bühn; Alina Weise; Nina-Kristin Mann; Simone Hess; Andreas Sönnichsen; Dawid Pieper; Petra Thürmann; Tim Mathes
Journal:  Ther Adv Drug Saf       Date:  2022-01-21
  5 in total

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