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The Association between Long-term PM2.5 Exposure and Risk for Pancreatic Cancer: An Application of Social Informatics.
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.
Afiliación
  • Bhavsar NA; Department of Surgery, School of Medicine, Duke University, Durham, NC.
  • Jowers K; Department of Biostatistics and Bioinformatics, School of Medicine, Duke University, Durham, NC.
  • Yang LZ; Nicholas Institute for Energy, Environment & Sustainability, Duke University, Durham, NC.
  • Guha S; Department of Biostatistics and Bioinformatics, School of Medicine, Duke University, Durham, NC.
  • Lin X; Department of Statistics, Texas A&M University, College Station, TX.
  • Peskoe S; Department of Economics, Duke University, Durham, NC.
  • McManus H; Department of Biostatistics and Bioinformatics, School of Medicine, Duke University, Durham, NC.
  • McElroy L; Department of Medicine, School of Medicine, Duke University, Durham, NC.
  • Bravo M; Department of Surgery, School of Medicine, Duke University, Durham, NC.
  • Reiter JP; Global Health Institute, Duke University, Durham, NC.
  • Whitsel E; Department of Statistical Sciences, Duke University, Durham, NC.
  • Timmins C; Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Am J Epidemiol ; 2024 Aug 09.
Article en En | MEDLINE | ID: mdl-39123098
ABSTRACT
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 one 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 IQR increase in average annual PM2.5 was associated with greater odds of pancreatic cancer (OR=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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Am J Epidemiol Año: 2024 Tipo del documento: Article País de afiliación: Nueva Caledonia Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Am J Epidemiol Año: 2024 Tipo del documento: Article País de afiliación: Nueva Caledonia Pais de publicación: Estados Unidos