环境卫生
四分位间距
医学
胰腺癌
优势比
逻辑回归
可能性
风险因素
癌症
人口学
记录链接
老年学
内科学
人口
社会学
作者
Nrupen A. Bhavsar,Kay Jowers,Zidanyue Yang,Sharmistha Guha,Xuan Lin,Sarah B. Peskoe,H. N. McManus,Lisa M. McElroy,Mercedes A. Bravo,Jerome P. Reiter,Eric A. Whitsel,Christopher Timmins
摘要
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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