Health-related quality of life in subjects with and without Type 2 diabetes: pooled analysis of five population-based surveys in Germany

Diabet. Med. 29, 646–653 (2012) Aims  To estimate population values of health‐related quality of life (HRQL) in subjects with and without Type 2 diabetes mellitus across several large population‐based survey studies in Germany. Systematic differences in relation to age and sex were of particular int...

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Published inDiabetic medicine Vol. 29; no. 5; pp. 646 - 653
Main Authors Schunk, M., Reitmeir, P., Schipf, S., Völzke, H., Meisinger, C., Thorand, B., Kluttig, A., Greiser, K.-H., Berger, K., Müller, G., Ellert, U., Neuhauser, H., Tamayo, T., Rathmann, W., Holle, R.
Format Journal Article
LanguageEnglish
Published Oxford, UK Blackwell Publishing Ltd 01.05.2012
Blackwell
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ISSN0742-3071
1464-5491
1464-5491
DOI10.1111/j.1464-5491.2011.03465.x

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Summary:Diabet. Med. 29, 646–653 (2012) Aims  To estimate population values of health‐related quality of life (HRQL) in subjects with and without Type 2 diabetes mellitus across several large population‐based survey studies in Germany. Systematic differences in relation to age and sex were of particular interest. Methods  Individual data from four population‐based studies from different regions throughout Germany and the nationwide German National Health Interview and Examination Survey (GNHIES98) were included in a pooled analysis of primary data (N = 9579). HRQL was assessed using the generic index instrument SF‐36 (36‐item Short Form Health Survey) or its shorter version, the SF‐12 (12 items). Regression analysis was carried out to examine the association between Type 2 diabetes and the two component scores derived from the SF‐36/SF‐12, the physical component summary score (PCS‐12) and the mental component summary score (MCS‐12), as well as interaction effects with age and sex. Results  The PCS‐12 differed significantly by −4.1 points in subjects with Type 2 diabetes in comparison with subjects without Type 2 diabetes. Type 2 diabetes was associated with significantly lower MCS‐12 in women only. Higher age was associated with lower PCS‐12, but with an increase in MCS‐12, for subjects with and without Type 2 diabetes. Conclusions  Pooled analysis of population‐based primary data offers HRQL values for subjects with Type 2 diabetes in Germany, stratified by age and sex. Type 2 diabetes has negative consequences for HRQL, particularly for women. This underlines the burden of disease and the importance of diabetes prevention. Factors that disadvantage women with Type 2 diabetes need to be researched more thoroughly.
Bibliography:ark:/67375/WNG-0S5C4S4L-9
ArticleID:DME3465
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ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0742-3071
1464-5491
1464-5491
DOI:10.1111/j.1464-5491.2011.03465.x