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

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)...

Descripción completa

Detalles Bibliográficos
Publicado en:American Journal of Epidemiology Vol. 194; no. 3; pp. 730 - 738
Autores principales: Bhavsar, Nrupen A, Jowers, Kay, Yang, Lexie Z, Guha, Sharmistha, Lin, Xuan, Peskoe, Sarah, McManus, Hannah, McElroy, Lisa, Bravo, Mercedes, Reiter, Jerome P, Whitsel, Eric, Timmins, Christopher
Formato: research tables/charts Journal Article
Publicado: Oxford University Press / USA Mar2025
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=184351224&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 184351224
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        00029262
        1X1
      jtl: American Journal of Epidemiology
      issn: 00029262
      maglogo: N
    pubinfo:
      dt: Mar2025
      vid: 194
      iid: 3
      pid: 622
      pub: Oxford University Press / USA
    artinfo:
      ui:
        184351224
        184351224
        184351224
        10.1093/aje/kwae271
        184351224
      ppf: 730
      ppct: 8
      formats:
      tig:
        atl: The association between long-term PM2.5 exposure and risk for pancreatic cancer: an application of social informatics.
      aug:
        au:
          Bhavsar, Nrupen A
          Jowers, Kay
          Yang, Lexie Z
          Guha, Sharmistha
          Lin, Xuan
          Peskoe, Sarah
          McManus, Hannah
          McElroy, Lisa
          Bravo, Mercedes
          Reiter, Jerome P
          Whitsel, Eric
          Timmins, Christopher
        affil: Department of Surgery, School of Medicine, Duke University, Durham, NC, United States
      sug:
        subj:
          Particulate Matter
          Environmental Exposure
          Pancreatic Neoplasms Risk Factors
          Risk Assessment
          Pancreatic Neoplasms Prevention and Control
          Social Determinants of Health
          Human
          Medical Informatics
          Case Control Studies
          Air Pollution
          Electronic Health Records
          Socioeconomic Factors
          Algorithms
          Logistic Regression
          Male
          Female
          Odds Ratio
          Confidence Intervals
          Funding Source
          Male
          Female
      ab: 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.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N