Holmqvist B-M, Lofman O, Samuelsson U
Division of Paediatrics, Department of Molecular and Clinical Medicine, Linkoping University, Linkoping,
Diabet Med. 2008 Mar;25(3):255-60. doi: 10.1111/j.1464-5491.2007.02342.x. Epub 2008 Jan 14.
To explore how socioeconomic factors and population density may contribute to the geographical variation of incidence of Type 1 diabetes in children in south-eastern Sweden.
All children diagnosed with Type 1 diabetes in south-eastern Sweden during 1977-2001 were defined geographically to their place of residence and were allocated x and y coordinates in the national grid. The population at risk and socioeconomic data were aggregated in 82,000 200-m squares and geocoded likewise. A socioeconomic index was calculated using a signed chi(2) method. Rural-urban gradients were defined by overlay analysis in a geographic information system.
The incidence during the past 25 years has been rising steadily, particularly in the last 6 years. The incidence was highest in areas with a high proportion of small families, of families with a high family income and better education, and this was found both at the time of diagnosis and at the time of birth. In the rural-urban analysis, the lowest incidence was found in the urban area with > 20,000 inhabitants, where there was also a higher frequency of deprivation.
Our findings indicate that geographical variations in incidence rates of Type 1 diabetes in children are associated with socioeconomic factors and population density, although other contributing factors remain to be explained.
探讨社会经济因素和人口密度如何影响瑞典东南部儿童1型糖尿病发病率的地理差异。
将1977年至2001年期间在瑞典东南部被诊断为1型糖尿病的所有儿童按居住地进行地理定位,并在国家网格中为其分配x和y坐标。将风险人群和社会经济数据汇总到82000个200米见方的区域,并同样进行地理编码。使用带符号的卡方方法计算社会经济指数。通过地理信息系统中的叠加分析定义城乡梯度。
过去25年中发病率一直在稳步上升,尤其是在过去6年。在小家庭比例高、家庭收入高且教育程度高的地区发病率最高,这在诊断时和出生时均有发现。在城乡分析中,居民超过20000人的市区发病率最低,且贫困发生率也较高。
我们的研究结果表明,儿童1型糖尿病发病率的地理差异与社会经济因素和人口密度有关,尽管其他影响因素仍有待解释。