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Aim To analyse the association of neighbourhood unemployment with incident self-reported physician-diagnosed Type 2 diabetes in a population aged 45-74 years from five German regions. Methods Study participants were linked via their addresses at baseline to particular neighbourhoods. Individual-level data from five population-based studies were pooled and combined with contextual data on neighbourhood unemployment. Type 2 diabetes was assessed according to a self-reported physician diagnosis of diabetes. We estimated proportional hazard models (Weibull distribution) in order to obtain hazard ratios and 95% CIs of Type 2 diabetes mellitus, taking into account interval-censoring and clustering. Results We included 7250 participants residing in 228 inner city neighbourhoods in five German regions in our analysis. The incidence rate was 12.6 per 1000 person-years (95% CI 11.4-13.8). The risk of Type 2 diabetes mellitus was higher in men [hazard ratio 1.79 (95% CI 1.47-2.18)] than in women and higher in people with a low education level [hazard ratio 1.55 (95% CI 1.18-2.02)] than in those with a high education level. Independently of individual-level characteristics, we found a higher risk of Type 2 diabetes mellitus in neighbourhoods with high levels of unemployment [quintile 5; hazard ratio 1.72 (95% CI 1.23-2.42)] than in neighbourhoods with low unemployment (quintile 1). Conclusions Low education level and high neighbourhood unemployment were independently associated with an elevated risk of Type 2 diabetes mellitus. Studies examining the impact of the residential environment on Type 2 diabetes mellitus will provide knowledge that is essential for the identification of high-risk populations. [ABSTRACT FROM AUTHOR]

Aim To validate the German Diabetes Risk Score within the population-based cohort of the Cardiovascular Disease - Living and Ageing in Halle ( CARLA) study. Methods The sample included 582 women and 719 men, aged 45-83 years, who did not have diabetes at baseline. The individual risk of every participant was calculated using the German Diabetes Risk Score, which was modified for 4 years of follow-up. Predicted probabilities and observed outcomes were compared using Hosmer-Lemeshow goodness-of-fit tests and receiver-operator characteristic analyses. Changes in prediction power were investigated by expanding the German Diabetes Risk Score to include metabolic variables and by subgroup analyses. Results We found 58 cases of incident diabetes. The median 4-year probability of developing diabetes based on the German Diabetes Risk Score was 6.5%. The observed and predicted probabilities of developing diabetes were similar, although estimation was imprecise owing to the small number of cases, and the Hosmer-Lemeshow test returned a poor correlation (chi-squared = 55.3; P = 5.8*10-12). The area under the receiver-operator characteristic curve ( AUC) was 0.70 (95% CI 0.64-0.77), and after excluding participants ≥66 years old, the AUC increased to 0.77 (95% CI 0.70-0.84). Consideration of glycaemic diagnostic variables, in addition to self-reported diabetes, reduced the AUC to 0.65 (95% CI 0.58-0.71). A new model that included the German Diabetes Risk Score and blood glucose concentration ( AUC 0.81; 95% CI 0.76-0.86) or HbA1c concentration ( AUC 0.84; 95% CI 0.80-0.91) was found to peform better. Conclusions Application of the German Diabetes Risk Score in the CARLA cohort did not reproduce the findings in the European Prospective Investigation into Cancer and Nutrition ( EPIC) Potsdam study, which may be explained by cohort differences and model overfit in the latter; however, a high score does provide an indication of increased risk of diabetes. [ABSTRACT FROM AUTHOR]

Aim Our objective was to test the hypothesis that the prevalence of Type 2 diabetes increases with increasing regional deprivation even after controlling for individual socio-economic status. Methods We pooled cross-sectional data from five German population-based studies. The data set contained information on n = 11 688 study participants (men 50.1%) aged 45-74 years, of whom 1008 people had prevalent Type 2 diabetes (men 56.2%). Logistic multilevel regression was performed to estimate odds ratios (OR) and 95% confidence intervals (CI) for diabetes prevalence. We controlled for sex, age and lifestyle risk factors, individual socio-economic status and regional deprivation, based on a new small-area deprivation measure, the German Index of Multiple Deprivation. Results Adjusted for sex, age, body mass index (BMI), physical activity, smoking status and alcohol consumption, the prevalence of Type 2 diabetes showed a stepwise increase in risk with increasing area deprivation [OR 1.88 (95% CI 1.16-3.04) in quintile 4 and OR 2.14 (95% CI 1.29-3.55) in quintile 5 compared with the least deprived quintile 1], even after controlling for individual socio-economic status. Focusing on individual socio-economic status alone, the risk of having diabetes was significantly higher for low compared with medium or high educational level [OR 1.46 (95% CI 1.24-1.71)] and for the lowest compared with the highest income group [OR 1.53 (95% CI 1.18-1.99)]. Conclusion Regional deprivation plays a significant part in the explanation of diabetes prevalence in Germany independently of individual socio-economic status. The results of the present study could help to target public health measures in deprived regions. [ABSTRACT FROM AUTHOR]

Diabet. Med. 29, 646-653 (2012) Abstract 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. [ABSTRACT FROM AUTHOR]

Leisure-time physical activity is associated with better health and a reduced risk of all-cause mortality. It is unclear if this association is also present with a high level of physical activity as it is found in professional athletes. In a population-based retrospective cohort study, we compared the survival experience of all soccer players participating for Germany in international matches between 1908 and 2006 to that of the general population. To summarize survival experience, we calculated cumulative relative survival ratios (RSRs) from a life table. We included data of 812 international players, of which 428 (=52.7%) died during follow-up. In all 13 intervals, cumulative observed survival was smaller than cumulative expected survival, resulting in cumulative RSRs being <1. The cumulative RSRs are statistically significantly different from 1 in all but the last interval. This impaired survival experience of the internationals translates into a loss of median residual lifetime of 1.9 years [95% confidence interval: 0.6, 3.2] years at the entry time into the cohort. This loss is mainly driven by the mortality of internationals from the earlier half of the observation period. Reasons for this might be poorer medical care in former times, internationals being killed in action during World War II, and a changing distribution of causes of death during the 20th century. [ABSTRACT FROM AUTHOR]