Anne M Weaver, Aurelian Bidulescu, Gregory A Wellenius, DeMarc A Hickson, Mario Sims, Ambarish Vaidyanathan, Wen-Chih Wu, Adolfo Correa, Yi Wang
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We used mixed-effect modified Poisson regression to estimate risk ratios (RRs) and 95% confidence intervals (CIs) of incidence of diabetes by visit 2 and prevalence ratios (PRs) of the association between air pollution exposure and prevalent diabetes at visits 1 and 2. We adjusted for potential confounding by patient characteristics, as well as inverse probability weights of diabetes at visit 2, accounting for clustering by census tract.</p><p><strong>Results: </strong>We observed associations between incident diabetes and interquartile range increase in 1-year O<sub>3</sub> (RR 1.34, 95% CI = 1.11, 1.61) and 3-year O<sub>3</sub> (RR 0.88, 95% CI = 0.76, 1.02). We observed associations between prevalent diabetes and 1-year PM<sub>2.5</sub> (PR 1.08, 95% CI = 1.00, 1.17), 1-year O<sub>3</sub> (PR 1.18, 95% CI = 1.10, 1.27), and 3-year O<sub>3</sub> (PR 0.95, 95% CI = 0.90, 1.01) at visit 2.</p><p><strong>Conclusions: </strong>Our results provide some evidence of positive associations between indicators of long-term PM<sub>2.5</sub> and O<sub>3</sub> exposure and diabetes. This study is particularly relevant to African Americans, who have higher prevalence of diabetes but relatively few studies of environmental pollution risk factors.</p>","PeriodicalId":11713,"journal":{"name":"Environmental Epidemiology","volume":" ","pages":"e140"},"PeriodicalIF":3.3000,"publicationDate":"2021-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8078431/pdf/ee9-5-e140.pdf","citationCount":"3","resultStr":"{\"title\":\"Associations between air pollution indicators and prevalent and incident diabetes in an African American cohort, the Jackson Heart Study.\",\"authors\":\"Anne M Weaver, Aurelian Bidulescu, Gregory A Wellenius, DeMarc A Hickson, Mario Sims, Ambarish Vaidyanathan, Wen-Chih Wu, Adolfo Correa, Yi Wang\",\"doi\":\"10.1097/EE9.0000000000000140\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Diabetes is especially prevalent among African Americans. Prior studies suggest that long-term exposure to ambient air pollution may be associated with greater incidence of diabetes, but results remain heterogeneous. Few studies have included large numbers of African Americans.</p><p><strong>Methods: </strong>We assessed diabetes status and concentrations of 1- and 3-year fine particulate matter (PM<sub>2.5</sub>) and ozone (O<sub>3</sub>) among African American participants of the Jackson Heart Study at visits 1 (2000-2004, N = 5128) and 2 (2005-2008, N = 2839). We used mixed-effect modified Poisson regression to estimate risk ratios (RRs) and 95% confidence intervals (CIs) of incidence of diabetes by visit 2 and prevalence ratios (PRs) of the association between air pollution exposure and prevalent diabetes at visits 1 and 2. We adjusted for potential confounding by patient characteristics, as well as inverse probability weights of diabetes at visit 2, accounting for clustering by census tract.</p><p><strong>Results: </strong>We observed associations between incident diabetes and interquartile range increase in 1-year O<sub>3</sub> (RR 1.34, 95% CI = 1.11, 1.61) and 3-year O<sub>3</sub> (RR 0.88, 95% CI = 0.76, 1.02). We observed associations between prevalent diabetes and 1-year PM<sub>2.5</sub> (PR 1.08, 95% CI = 1.00, 1.17), 1-year O<sub>3</sub> (PR 1.18, 95% CI = 1.10, 1.27), and 3-year O<sub>3</sub> (PR 0.95, 95% CI = 0.90, 1.01) at visit 2.</p><p><strong>Conclusions: </strong>Our results provide some evidence of positive associations between indicators of long-term PM<sub>2.5</sub> and O<sub>3</sub> exposure and diabetes. 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引用次数: 3
摘要
背景:糖尿病在非裔美国人中尤为普遍。先前的研究表明,长期暴露于环境空气污染可能与更高的糖尿病发病率有关,但结果仍不一致。很少有研究包括大量的非裔美国人。方法:我们评估了杰克逊心脏研究的非裔美国参与者的糖尿病状况和1年和3年的细颗粒物(PM2.5)和臭氧(O3)浓度,随访1(2000-2004年,N = 5128)和2(2005-2008年,N = 2839)。我们使用混合效应修正泊松回归来估计第二次访视时糖尿病发病率的风险比(rr)和95%置信区间(CIs),以及第一次和第二次访视时空气污染暴露与糖尿病患病率之间关联的患病率比(pr)。我们调整了患者特征的潜在混淆因素,以及第二次就诊时糖尿病的逆概率权重,考虑了人口普查区的聚类。结果:我们观察到1年O3 (RR 1.34, 95% CI = 1.11, 1.61)和3年O3 (RR 0.88, 95% CI = 0.76, 1.02)的糖尿病发病率与四分位数范围增加之间存在关联。在随访2时,我们观察到流行糖尿病与1年PM2.5 (PR = 1.08, 95% CI = 1.00, 1.17)、1年O3 (PR = 1.18, 95% CI = 1.10, 1.27)和3年O3 (PR = 0.95, 95% CI = 0.90, 1.01)之间的相关性。结论:我们的研究结果为长期PM2.5和O3暴露与糖尿病之间的正相关指标提供了一些证据。这项研究与非裔美国人特别相关,他们的糖尿病患病率较高,但对环境污染风险因素的研究相对较少。
Associations between air pollution indicators and prevalent and incident diabetes in an African American cohort, the Jackson Heart Study.
Background: Diabetes is especially prevalent among African Americans. Prior studies suggest that long-term exposure to ambient air pollution may be associated with greater incidence of diabetes, but results remain heterogeneous. Few studies have included large numbers of African Americans.
Methods: We assessed diabetes status and concentrations of 1- and 3-year fine particulate matter (PM2.5) and ozone (O3) among African American participants of the Jackson Heart Study at visits 1 (2000-2004, N = 5128) and 2 (2005-2008, N = 2839). We used mixed-effect modified Poisson regression to estimate risk ratios (RRs) and 95% confidence intervals (CIs) of incidence of diabetes by visit 2 and prevalence ratios (PRs) of the association between air pollution exposure and prevalent diabetes at visits 1 and 2. We adjusted for potential confounding by patient characteristics, as well as inverse probability weights of diabetes at visit 2, accounting for clustering by census tract.
Results: We observed associations between incident diabetes and interquartile range increase in 1-year O3 (RR 1.34, 95% CI = 1.11, 1.61) and 3-year O3 (RR 0.88, 95% CI = 0.76, 1.02). We observed associations between prevalent diabetes and 1-year PM2.5 (PR 1.08, 95% CI = 1.00, 1.17), 1-year O3 (PR 1.18, 95% CI = 1.10, 1.27), and 3-year O3 (PR 0.95, 95% CI = 0.90, 1.01) at visit 2.
Conclusions: Our results provide some evidence of positive associations between indicators of long-term PM2.5 and O3 exposure and diabetes. This study is particularly relevant to African Americans, who have higher prevalence of diabetes but relatively few studies of environmental pollution risk factors.