Long-term air pollution exposures on type 2 diabetes prevalence and medication use

Ying-Ying Meng , Yu Yu , Susan H. Babey , Jason Su
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Abstract

Background

Type 2 diabetes has raised great public health concerns due to its association with the increased risk of several adverse health outcomes. We aimed to investigate the association of criteria air pollutants and traffic density with the prevalence of type 2 diabetes and antidiabetic medication use in California.

Methods

A cross-sectional study was conducted using 2005 California Health Interview Survey (CHIS) data, linked with criteria air pollutant exposure measures, including government-monitored ozone (O3), particulate matter (PM10, PM2.5) and nitrogen dioxide (NO2), residential traffic density, and land use regression modeled NOX, NO, and NO2 estimates for Los Angeles County only based on the respondents’ geocoded residential addresses. Weighted logistic regression models were used to examine the influences of 36-month average exposures to each air pollutant and traffic density on diabetes prevalence and medication use.

Results

Among 31,483 CHIS 2005 state-wide respondents, 6.7% of adults reported having been diagnosed with type 2 diabetes. We observed type 2 diabetes prevalence was positively associated with exposures to O3, PM10, and PM2.5, and with NO, NO2, and NOx only in Los Angeles County. For each 10ppb increase in O3 or 10ug/m3 increase in PM10 or PM2.5, the odds of taking any medication increased by 40%, 56%, and 50%; taking pills increased by 33%, 31%, and 41%; taking insulin increased by 43%, 53%, and 46%; and taking both insulin and pills increased by 70%, 60%, and 88%, respectively. When traffic density within 750 feet of a respondent's home increased by one interquartile, 7% increase in odds of using any medication and taking pills was also observed.

Conclusion

This study adds to evidence indicating greater air pollution exposure is associated with increased diabetes prevalence. It also provides new evidence demonstrating a strong association between pollutant exposure and antidiabetic medication use in adult Californians.

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长期空气污染暴露对2型糖尿病患病率和药物使用的影响
背景:2型糖尿病与几种不良健康结果的风险增加有关,引起了公众对其健康的高度关注。我们的目的是调查加州标准空气污染物和交通密度与2型糖尿病患病率和抗糖尿病药物使用的关系。方法利用2005年加州健康访谈调查(CHIS)数据进行了一项横断面研究,并与标准空气污染物暴露措施相关联,包括政府监测的臭氧(O3)、颗粒物(PM10、PM2.5)和二氧化氮(NO2)、住宅交通密度,以及仅基于受访者地理代码的洛杉矶县NOX、NO和NO2估算的土地利用回归模型。采用加权logistic回归模型检验了36个月平均暴露于每种空气污染物和交通密度对糖尿病患病率和药物使用的影响。结果在2005年CHIS的31483名全州受访者中,6.7%的成年人报告被诊断为2型糖尿病。我们观察到,仅在洛杉矶县,2型糖尿病的患病率与O3、PM10和PM2.5以及NO、NO2和NOx的暴露呈正相关。臭氧浓度每增加10ppb或PM10或PM2.5浓度每增加10ug/m3,服用任何药物的几率分别增加40%、56%和50%;服药人数分别增加了33%、31%和41%;胰岛素使用量分别增加了43%、53%和46%;同时服用胰岛素和药片的人数分别增加了70%、60%和88%。当被调查者家周围750英尺范围内的交通密度增加一个四分之一时,使用任何药物和服用药片的几率也会增加7%。结论:该研究进一步证明,暴露在空气污染中与糖尿病患病率增加有关。该研究还提供了新的证据,证明加州成年人接触污染物与使用抗糖尿病药物之间存在密切联系。
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来源期刊
Hygiene and environmental health advances
Hygiene and environmental health advances Environmental Science (General)
CiteScore
1.10
自引率
0.00%
发文量
0
审稿时长
38 days
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