Evaluation of associations between estimates of particulate matter exposure and new onset type 2 diabetes in the REGARDS cohort

Details

• Alternative Title:
  J Expo Sci Environ Epidemiol
• Personal Author:
  McAlexander, Tara P. ; De Silva, S. Shanika A. ; Meeker, Melissa A. ; Long, D. Leann ; McClure, Leslie A.
• Description:
  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 μg/m3 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 μg/m3 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.
  
  
• Subjects:
  Air Pollutants Air Pollution Cities Cohort Studies Diabetes Mellitus, Type 2 Environmental Exposure Humans Particulate Matter Stroke
• Source:
  J Expo Sci Environ Epidemiol. 32(4):563-570
• Pubmed ID:
  34657127
• Pubmed Central ID:
  PMC9012798
• Document Type:
  Journal Article
• Funding:
  U01 DP006293/DP/NCCDPHP CDC HHSUnited States/
• Volume:
  32
• Issue:
  4
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:b1d3e50e98623a88a0801db6e11b66ec91303217eb327ef45531556de937431e
• Download URL:
  https://stacks.cdc.gov/view/cdc/116480/cdc_116480_DS1.pdf
• File Type:
  [PDF - 711.00 KB ]