关键词: Air pollution Diabetes Dysglycemia Impaired fasting glucose NO2 O3 PM10 SO2

Mesh : Male Humans Nitrogen Dioxide / analysis Sulfur Dioxide / analysis Cohort Studies Air Pollutants / analysis Air Pollution / analysis Diabetes Mellitus / epidemiology chemically induced Particulate Matter / analysis Environmental Exposure / analysis

来  源:   DOI:10.1007/s11356-022-22330-3

Abstract:
To examine the associations between long-term exposure to five major air pollutants including SO2, PM10, O3, NO2, and CO, and incident dysglycemia, impaired fasting glucose (IFG), and diabetes, separately. A total of 4254 (1720 men) normoglycemic individuals aged 20-69 years at baseline were followed from 2001 to 2018 every 3 years. To measure the long-term hazards of air pollutants for incident dysglycemia, the Weibull proportional hazards models for every 10-unit increment adjusted for diabetes risk factors were fitted. The air pollutants were put in the models in the form of averages of 1-, 2-, and 3-year periods. During a median follow-up of 12.2 years, we observed 1780 dysglycemia events. In contrast to NO2, the increase in SO2, O3, and PM10 levels were significantly associated with a higher risk of dysglycemia and IFG in all time spans excluding PM10 at 2 years. The largest hazard ratios for incident dysglycemia and IFG were attributable to PM10 in 3 years (2.20 (95% CI 1.67, 2.89) and 2.08 (1.55, 2.80), respectively). Moreover, exposure to all the pollutants except NO2 in 1 year (0.89 (0.80, 0.98)) had no significant associations with incident diabetes. There was a signal that younger (< 45 years) and never-smoker individuals were more predispose to dysglycemic effects of air pollution (all P for interactions > 0.03). Our findings suggested that long-term exposure to air pollution increased incident dysglycemia risk, the effect which was mainly attributable to IFG status.
摘要:
为了研究长期暴露于包括SO2,PM10,O3,NO2和CO在内的五种主要空气污染物之间的关联,和突发的血糖异常,空腹血糖受损(IFG),糖尿病,分开。从2001年到2018年,每3年随访4254名(1720名男性)基线年龄为20-69岁的血糖正常个体。为了测量空气污染物对突发血糖异常的长期危害,我们对每10个单位增量的Weibull比例风险模型进行了糖尿病危险因素校正.空气污染物以1-的平均值的形式放入模型中,2-,和3年期间。在12.2年的中位随访期间,我们观察到1780例血糖异常事件.与NO2相比,SO2,O3和PM10水平的增加与2年时不包括PM10的所有时间跨度中血糖异常和IFG的风险均显着相关。发生血糖异常和IFG的最大危险比可归因于3年内的PM10(2.20(95%CI1.67,2.89)和2.08(1.55,2.80),分别)。此外,1年内暴露于除NO2以外的所有污染物(0.89(0.80,0.98))与糖尿病事件无显著关联.有一个信号表明,年轻(<45岁)和从不吸烟的个体更容易受到空气污染的血糖异常影响(所有相互作用的P>0.03)。我们的研究结果表明,长期暴露于空气污染会增加血糖异常事件的风险,主要归因于IFG地位的影响。
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