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丹麦护士队列中细颗粒物的长期暴露与糖尿病发病率

Long-term exposure to fine particulate matter and incidence of diabetes in the Danish Nurse Cohort.

作者信息

Hansen Anne Busch, Ravnskjær Line, Loft Steffen, Andersen Klaus Kaae, Bräuner Elvira Vaclavik, Baastrup Rikke, Yao Claire, Ketzel Matthias, Becker Thomas, Brandt Jørgen, Hertel Ole, Andersen Zorana Jovanovic

机构信息

Center for Epidemiology and Screening, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.

Danish Cancer Research Center, Danish Cancer Society, Copenhagen, Denmark.

出版信息

Environ Int. 2016 May;91:243-50. doi: 10.1016/j.envint.2016.02.036. Epub 2016 Mar 16.

Abstract

AIMS/HYPOTHESIS: It has been suggested that air pollution may increase the risk of type 2 diabetes but data on particulate matter with diameter <2.5μm (PM2.5) are inconsistent. We examined the association between long-term exposure to PM2.5 and diabetes incidence.

METHODS

We used the Danish Nurse Cohort with 28,731 female nurses who at recruitment in 1993 or 1999 reported information on diabetes prevalence and risk factors, and obtained data on incidence of diabetes from National Diabetes Register until 2013. We estimated annual mean concentrations of PM2.5, particulate matter with diameter <10μm (PM10), nitrogen oxides (NOx) and nitrogen dioxide (NO2) at their residence since 1990 using a dispersion model and examined the association between the 5-year running mean of pollutants and diabetes incidence using a time-varying Cox regression.

RESULTS

Of 24,174 nurses 1137 (4.7%) developed diabetes. We detected a significant positive association between PM2.5 and diabetes incidence (hazard ratio; 95% confidence interval: 1.11; 1.02-1.22 per interquartile range of 3.1μg/m(3)), and weaker associations for PM10 (1.06; 0.98-1.14 per 2.8μg/m(3)), NO2 (1.05; 0.99-1.12 per 7.5μg/m(3)), and NOx (1.01; 0.98-1.05 per 10.2μg/m(3)) in fully adjusted models. Associations with PM2.5 persisted in two-pollutant models. Associations with PM2.5 were significantly enhanced in never smokers (1.24; 1.09-1.42), and augmented in obese (1.25; 1.06-1.47) and subjects with myocardial infarction (1.32; 0.86-2.02), but without significant interaction.

CONCLUSIONS/INTERPRETATION: Fine particulate matter may the most relevant pollutant for diabetes development among women, and non-smokers, obese women, and heart disease patients may be most susceptible.

摘要

目的/假设:空气污染可能会增加2型糖尿病的发病风险,但关于直径小于2.5微米的颗粒物(PM2.5)的数据并不一致。我们研究了长期暴露于PM2.5与糖尿病发病率之间的关联。

方法

我们使用丹麦护士队列,其中有28731名女性护士,她们在1993年或1999年招募时报告了糖尿病患病率和风险因素的信息,并从国家糖尿病登记处获取了截至2013年的糖尿病发病率数据。我们使用扩散模型估算了她们自1990年以来居住地的PM2.5、直径小于10微米的颗粒物(PM10)、氮氧化物(NOx)和二氧化氮(NO2)的年平均浓度,并使用时变Cox回归研究了污染物的5年移动平均值与糖尿病发病率之间的关联。

结果

在24174名护士中,有1137人(4.7%)患糖尿病。我们检测到PM2.5与糖尿病发病率之间存在显著正相关(风险比;95%置信区间:1.11;每3.1μg/m³四分位间距为1.02 - 1.22),在完全调整模型中,PM10(每2.8μg/m³为1.06;0.98 - 1.14)、NO2(每7.5μg/m³为1.05;0.99 - 1.12)和NOx(每10.2μg/m³为1.01;0.98 - 1.05)的相关性较弱。在双污染物模型中,与PM2.5的关联仍然存在。在从不吸烟者中,与PM2.5的关联显著增强(1.24;1.09 - 1.42),在肥胖者(1.25;1.06 - 1.47)和心肌梗死患者(1.32;0.86 - 2.02)中增强,但无显著交互作用。

结论/解读:细颗粒物可能是女性中与糖尿病发生最相关的污染物,非吸烟者、肥胖女性和心脏病患者可能最易受影响。

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