German Diabetes Centre, Leibniz Institute for Diabetes Research at Heinrich Heine University Düsseldorf, Institute for Biometrics and Epidemiology, Düsseldorf, Germany.
German Centre for Diabetes Research (DZD), Neuherberg, Germany.
Diabet Med. 2020 Dec;37(12):2089-2097. doi: 10.1111/dme.14258. Epub 2020 Mar 3.
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.
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.
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]).
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.
分析地区贫困程度和城乡特征与北莱茵-威斯特法伦州德国联邦州 1 型糖尿病发病率之间的关联。
从基于人群的糖尿病登记处提取了 2007 年至 2014 年期间年龄<20 岁的儿童和青少年 1 型糖尿病新发病例的数据。从官方统计数据中获得了人口数据、市区贫困程度指标和城乡特征指标(396 个实体)。根据多种贫困指数及其七个贫困领域的五分位数,将地区贫困程度分为五个组进行评估。应用考虑空间依赖性的泊松回归来调查地区贫困程度和城乡特征与 1 型糖尿病发病率之间的关联。
在 2007 年至 2014 年期间,报告了 6143 例新发病例(完整性为 99%);粗发病率为每 100000 人年 22.3 例。发病率随就业和环境贫困程度的增加而降低(最贫困与最不贫困的市区之间的相对风险:0.905[95%CI:0.813,0.907]和 0.839[0.752,0.937]),但与综合贫困指数无关。发病率在位置特征更为偏远、农村、较小和人口密度较低的市区较高,最强的关联估计为位置特征(与非常中心位置相比,偏远/非常偏远位置的相对风险:1.231[1.044,1.452])。
结果表明,在较偏远、较农村、人口密度较低和贫困程度较低的地区,1 型糖尿病的风险更高。城乡特征是 1 型糖尿病风险的更强预测因子,而不是贫困程度指标。