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The association between long-term PM2.5 exposure and risk for pancreatic cancer: an application of social informatics.

Publication ,  Journal Article
Bhavsar, NA; Jowers, K; Yang, LZ; Guha, S; Lin, X; Peskoe, S; McManus, H; McElroy, L; Bravo, M; Reiter, JP; Whitsel, E; Timmins, C
Published in: Am J Epidemiol
March 4, 2025

There is a profound need to identify modifiable risk factors to screen and prevent pancreatic cancer. Air pollution, including fine particulate matter (PM2.5), is increasingly recognized as a risk factor for cancer. We conducted a case-control study using data from the electronic health record (EHR) of Duke University Health System, 15-year residential history, NASA satellite fine particulate matter (PM2.5), and neighborhood socioeconomic data. Using deterministic and probabilistic linkage algorithms, we linked residential history and EHR data to quantify long-term PM2.5 exposure. Logistic regression models quantified the association between a 1 interquartile range (IQR) increase in PM2.5 concentration and pancreatic cancer risk. The study included 203 cases and 5027 controls (median age of 59 years, 62% female, 26% Black). Individuals with pancreatic cancer had higher average annual exposure (9.4 μg/m3) as compared to an IQR increase in average annual PM2.5, which was associated with greater odds of pancreatic cancer (odds ratio = 1.20; 95% CI, 1.00-1.44). These findings highlight the link between elevated PM2.5 exposure and increased pancreatic cancer risk. They may inform screening strategies for high-risk populations and guide air pollution policies to mitigate exposure. This article is part of a Special Collection on Environmental Epidemiology.

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Published In

Am J Epidemiol

DOI

EISSN

1476-6256

Publication Date

March 4, 2025

Volume

194

Issue

3

Start / End Page

730 / 737

Location

United States

Related Subject Headings

  • Risk Factors
  • Particulate Matter
  • Pancreatic Neoplasms
  • North Carolina
  • Middle Aged
  • Male
  • Logistic Models
  • Humans
  • Female
  • Epidemiology
 

Citation

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Bhavsar, N. A., Jowers, K., Yang, L. Z., Guha, S., Lin, X., Peskoe, S., … Timmins, C. (2025). The association between long-term PM2.5 exposure and risk for pancreatic cancer: an application of social informatics. Am J Epidemiol, 194(3), 730–737. https://doi.org/10.1093/aje/kwae271
Bhavsar, Nrupen A., Kay Jowers, Lexie Z. Yang, Sharmistha Guha, Xuan Lin, Sarah Peskoe, Hannah McManus, et al. “The association between long-term PM2.5 exposure and risk for pancreatic cancer: an application of social informatics.Am J Epidemiol 194, no. 3 (March 4, 2025): 730–37. https://doi.org/10.1093/aje/kwae271.
Bhavsar NA, Jowers K, Yang LZ, Guha S, Lin X, Peskoe S, et al. The association between long-term PM2.5 exposure and risk for pancreatic cancer: an application of social informatics. Am J Epidemiol. 2025 Mar 4;194(3):730–7.
Bhavsar, Nrupen A., et al. “The association between long-term PM2.5 exposure and risk for pancreatic cancer: an application of social informatics.Am J Epidemiol, vol. 194, no. 3, Mar. 2025, pp. 730–37. Pubmed, doi:10.1093/aje/kwae271.
Bhavsar NA, Jowers K, Yang LZ, Guha S, Lin X, Peskoe S, McManus H, McElroy L, Bravo M, Reiter JP, Whitsel E, Timmins C. The association between long-term PM2.5 exposure and risk for pancreatic cancer: an application of social informatics. Am J Epidemiol. 2025 Mar 4;194(3):730–737.
Journal cover image

Published In

Am J Epidemiol

DOI

EISSN

1476-6256

Publication Date

March 4, 2025

Volume

194

Issue

3

Start / End Page

730 / 737

Location

United States

Related Subject Headings

  • Risk Factors
  • Particulate Matter
  • Pancreatic Neoplasms
  • North Carolina
  • Middle Aged
  • Male
  • Logistic Models
  • Humans
  • Female
  • Epidemiology