Department of Epidemiology Human Genetics and Environmental Sciences, UTHealth School of Public Health in San Antonio, San Antonio (Ms Hernandez, Dr Gimeno Ruiz de Porras, Dr Whitworth); Southwest Center for Occupational and Environmental Health (SWCOEH) (Dr Gimeno Ruiz de Porras, Dr Whitworth); Center for Research in Occupational Health (CISAL), Universitat Pompeu Fabra, Barcelona (Dr Gimeno Ruiz de Porras); Centro de Investigacion Biomedica en Red de Epidemiologia y Salud Publica (CIBERESP) (Dr Gimeno Ruiz de Porras), Spain; Department of Management, Policy and Community Health (Dr Marko); Institute for Health Policy, UTHealth School of Public Health (Dr Marko), Houston, Texas.
J Occup Environ Med. 2018 Jul;60(7):594-602. doi: 10.1097/JOM.0000000000001332.
To examine the association between air pollution and diabetes prevalence in the United States, 2002 to 2008.
Annual average particulate matter (PM2.5) and ozone concentrations were calculated using daily county-level data from the CDC's Tracking Network. Individual-level outcome and covariate data were obtained from the Centers for Disease Control and Prevention (CDC) Behavioral Risk Factor Surveillance System for 862,519 individuals. We used Poisson regression analyses to examine associations between each air pollutant (per 10-unit increase) with diabetes, including regional sub-analyses. Analyses were adjusted for year, age, sex, race, ethnicity, education, income, smoking status, body mass index, exercise, and asthma.
Positive associations between each pollutant and diabetes were found (PM2.5: prevalence ratio [PR] = 1.10; 95% confidence interval [CI] = 1.03, 1.17; ozone: PR = 1.06; 95% CI = 1.03, 1.09). There was limited evidence of effect modification by region.
Interventions to reduce ambient air pollution may help alleviate the diabetes burden in the US.
研究 2002 年至 2008 年美国空气污染与糖尿病患病率之间的关系。
利用疾病预防控制中心（CDC）追踪网络的每日县一级数据，计算出每年平均颗粒物（PM2.5）和臭氧浓度。个体水平的结局和协变量数据来自疾病预防控制中心（CDC）的行为风险因素监测系统，共涉及 862519 人。我们采用泊松回归分析，研究了每种空气污染物（每增加 10 个单位）与糖尿病之间的关联，包括区域性亚分析。分析调整了年份、年龄、性别、种族、民族、教育程度、收入、吸烟状况、体重指数、运动和哮喘等因素。
发现每种污染物与糖尿病之间均存在正相关关系（PM2.5：患病率比[PR]为 1.10；95%置信区间[CI]为 1.03，1.17；臭氧：PR 为 1.06；95%CI 为 1.03，1.09）。区域间的效应修饰作用证据有限。
减少环境空气污染的干预措施可能有助于减轻美国的糖尿病负担。
