1977年至2001年间,瑞典东南部人口密度高、贫困程度高的地区1型糖尿病发病率较低。

IF 3.4
B-M Holmqvist, O Lofman, U Samuelsson
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引用次数: 32

摘要

目的: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。方法:1977-2001年瑞典东南部所有诊断为1型糖尿病的儿童按其居住地进行地理定义,并在国家网格中分配x和y坐标。风险人口和社会经济数据被汇总在82,000个200米的正方形中,并进行了同样的地理编码。社会经济指数采用符号chi(2)法计算。在地理信息系统中,通过叠加分析确定城乡梯度。结果:近25年发病率呈上升趋势,近6年尤为明显。在小家庭比例高、家庭收入高、受教育程度高的地区,发病率最高,这在诊断和出生时都有发现。在城乡分析中,发病率最低的是人口> 20,000的城市地区,那里的贫困发生率也较高。结论: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,尽管其他因素仍有待解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A low incidence of Type 1 diabetes between 1977 and 2001 in south-eastern Sweden in areas with high population density and which are more deprived.

Aims: 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.

Method: 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.

Results: 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.

Conclusions: 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.

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