Published, Version of Record (VoR)CC BY V4.0, Open
Abstract
Environmental Sciences Environmental Sciences & Ecology Life Sciences & Biomedicine Public, Environmental & Occupational Health Science & Technology Toxicology
Background Studies of PM2.5 and type 2 diabetes employ differing methods for exposure assignment, which could explain inconsistencies in this growing literature. We hypothesized associations between PM2.5 and new onset type 2 diabetes would differ by PM2.5 exposure data source, duration, and community type. Methods We identified participants of the US-based REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort who were free of diabetes at baseline (2003-2007); were geocoded at their residence; and had follow-up diabetes information. We assigned PM2.5 exposure estimates to participants for periods of 1 year prior to baseline using three data sources, and 2 years prior to baseline for two of these data sources. We evaluated adjusted odds of new onset diabetes per 5 mu g/m(3) increases in PM2.5 using generalized estimating equations with a binomial distribution and logit link, stratified by community type. Results Among 11,208 participants, 1,409 (12.6%) had diabetes at follow-up. We observed no associations between PM2.5 and diabetes in higher and lower density urban communities, but within suburban/small town and rural communities, increases of 5 mu g/m(3) PM2.5 for 2 years (Downscaler model) were associated with diabetes (OR [95% CI] = 1.65 [1.09, 2.51], 1.56 [1.03, 2.36], respectively). Associations were consistent in direction and magnitude for all three PM2.5 sources evaluated. Significance 1- and 2-year durations of PM2.5 exposure estimates were associated with higher odds of incident diabetes in suburban/small town and rural communities, regardless of exposure data source. Associations within urban communities might be obfuscated by place-based confounding.
Evaluation of associations between estimates of particulate matter exposure and new onset type 2 diabetes in the REGARDS cohort
Creators
Tara P. McAlexander - Drexel University
S. Shanika A. De Silva - Drexel Univ, Dornsife Sch Publ Hlth, Dept Epidemiol & Biostat, Philadelphia, PA 19104 USA
Melissa A. Meeker - Drexel University
D. Leann Long - University of Alabama at Birmingham
Leslie A. McClure - Drexel University
Publication Details
Journal of exposure science & environmental epidemiology, v 32(4), pp 563-570
Publisher
Springer Nature
Number of pages
8
Grant note
CDC U01DP006293 / Centers for Disease Control and Prevention; United States Department of Health & Human Services; Centers for Disease Control & Prevention - USA
U01 NS041588 / National Institute on Aging; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute on Aging (NIA)
National Institute of Neurological Disorders and Stroke; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Neurological Disorders & Stroke (NINDS)
Resource Type
Journal article
Language
English
Academic Unit
Epidemiology and Biostatistics
Web of Science ID
WOS:000707683200002
Scopus ID
2-s2.0-85117226881
Other Identifier
991019169620504721
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