10 research outputs found

    Association of individual and area-level socioeconomic conditions with quality of life and glycaemic control in 11-to 21-year-old adolescents with early-onset type 1 diabetes: A cross-sectional study.

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    PurposeTo analyse the association of area-level deprivation (German Index of Multiple Deprivation, GIMD 2010) with health- and disease-related quality of life (QoL) and glycaemic control (HbA1c) jointly with individual-level socioeconomic status (SES) in young patients with preschool-onset type 1 diabetes.MethodsA total of 425 male and 414 female patients aged 11-21years from a Germany-wide population-based survey completed the generic KINDL-R, the DISABKIDS chronic-generic module (DCGM-12), and the DISABKIDS diabetes-specific module with impact and treatment scales (QoL indicators; range 0-100 with higher scores representing better QoL). To analyse the association of area-level deprivation and SES with QoL and HbA1c, multiple linear regression models were applied adjusting for sociodemographic and health-related variables.ResultsMean QoL scores (SD) were 73.2 (12.2) for the KINDL-R, 76.1 (16.1) for the DCGM-12, 66.2 (19.9) for diabetes impact, and 56.4 (27.3) for diabetes treatment (DISABKIDS). Mean HbA1c was 8.3 (1.4)%. While both QoL outcomes and HbA1c level improved with increasing individual SES, no association was observed between area-level deprivation (GIMD 2010) and either outcome.ConclusionsCompared with individual SES, area-level deprivation seems to be of minor importance for QoL and glycaemic control in young people with early-onset type 1 diabetes

    Associations of area deprivation and urban/rural traits with the incidence of type 1 diabetes: Analysis at the municipality level in North Rhine-Westphalia, Germany.

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    Aim To analyse the associations of area deprivation and urban/rural traits with the incidence of type 1 diabetes in the German federal state of North Rhine-Westphalia.Methods Data of incident type 1 diabetes cases in children and adolescents aged <20 years between 2007 and 2014 were extracted from a population-based diabetes register. Population data, indicators of area deprivation and urban/rural traits at the municipality level (396 entities) were obtained from official statistics. Area deprivation was assessed in five groups based on quintiles of an index of multiple deprivation and its seven deprivation domains. Poisson regression accounting for spatial dependence was applied to investigate associations of area deprivation and urban/rural traits with type 1 diabetes incidence.Results Between 2007 and 2014, 6143 incident cases were reported (99% completeness); the crude incidence was 22.3 cases per 100 000 person-years. The incidence decreased with increasing employment and environmental deprivation (relative risk of the most vs. the least deprived municipalities: 0.905 [95% CI: 0.813, 1.007] and 0.839 [0.752, 0.937], respectively) but was not associated with the composite deprivation index. The incidence was higher in more peripheral, rural, smaller and less densely populated municipalities, and the strongest association was estimated for the location trait (relative risk of peripheral/very peripheral compared with very central location: 1.231 [1.044, 1.452]).Conclusions The results suggest that the type 1 diabetes risk is higher in more remote, more rural, less densely populated and less deprived areas. Urban/rural traits were stronger predictors of type 1 diabetes risk than area deprivation indicators
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