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人口密度决定了环境紫外线辐射与 1 型糖尿病发病率之间的关联方向。

Population density determines the direction of the association between ambient ultraviolet radiation and type 1 diabetes incidence.

机构信息

ANU Medical School, The Australian National University, Canberra, ACT, Australia.

出版信息

Pediatr Diabetes. 2010 Sep;11(6):394-402. doi: 10.1111/j.1399-5448.2009.00620.x. Epub 2009 Dec 8.

Abstract

BACKGROUND

Type 1 diabetes incidence has increased rapidly over the last 20 years, and ecological studies show inverse latitudinal gradients for both incidence and prevalence. Some studies have found season of birth or season of diagnosis effects. Together these findings suggest an important role for environmental factors in disease etiology.

OBJECTIVE

To examine whether type 1 diabetes incidence varies in relation to ambient ultraviolet radiation (UVR) in Australian children.

METHODS

We used case records of 4773 children aged 0-14 yr from the Australian National Diabetes Register to estimate type 1 diabetes incidence in relation to residential ambient UVR, both as a continuous variable and in four categories. We examined season of birth and season of diagnosis and variation in these parameters and in age at diagnosis, in relation to ambient UVR.

RESULTS

Overall incidence was 20 per 100 000 population with no sex difference. There was a statistically significant trend toward winter diagnosis (adjusted RR = 1.22, 95% CI 1.13-1.33, p<0.001) but no apparent season of birth effect. Incidence in the highest UVR category was significantly lower than in the lowest UVR category (RR = 0.85, 95% CI 0.75-0.96). We found an inverse association between incidence and ambient UVR that was present only at low population densities; at high population densities type 1 diabetes incidence increased with increasing ambient UVR.

CONCLUSION

In low population density, largely rural environments, ambient UVR may better reflect the personal UV dose, with the latter being protective for the development of type 1 diabetes. This effect is lost or reversed in high population density, largely urban, environments.

摘要

背景

在过去的 20 年中,1 型糖尿病的发病率迅速上升,生态研究表明发病率和患病率都存在反纬向梯度。一些研究发现了出生季节或诊断季节的影响。这些发现共同表明环境因素在疾病病因学中起着重要作用。

目的

研究澳大利亚儿童 1 型糖尿病的发病率是否与环境紫外线辐射(UVR)有关。

方法

我们使用澳大利亚国家糖尿病登记处的 4773 名 0-14 岁儿童的病例记录,来估计与居住环境 UVR 相关的 1 型糖尿病发病率,同时将其作为一个连续变量和四个类别进行研究。我们研究了出生季节和诊断季节以及这些参数的变化,以及诊断时的年龄,与环境 UVR 的关系。

结果

总体发病率为每 100000 人口 20 例,无性别差异。冬季诊断的趋势具有统计学意义(调整后的 RR = 1.22,95%CI 1.13-1.33,p<0.001),但没有明显的出生季节效应。最高 UVR 类别的发病率明显低于最低 UVR 类别的发病率(RR = 0.85,95%CI 0.75-0.96)。我们发现发病率与环境 UVR 之间存在反比关系,这种关系仅在人口密度较低的情况下存在;在人口密度较高的情况下,1 型糖尿病的发病率随着环境 UVR 的增加而增加。

结论

在人口密度较低的农村环境中,环境 UVR 可能更好地反映个人的紫外线剂量,而后者对 1 型糖尿病的发生具有保护作用。在人口密度较高的城市环境中,这种效应消失或逆转。

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