Unraveling the Paradox: High Lung Cancer Incidence Among Asian American Women Despite Low Smoking Prevalence-A Secondary Data Analysis
This project proposes a secondary data analysis of the NLST dataset to examine non-smoking-related risk factors and their potential contribution to lung cancer incidence among Asian American women. The NLST provides a unique opportunity to explore these questions due to its comprehensive collection of demographics, clinical, imaging, and follow-up data, including Asian American women diagnosed for lung cancer.
The findings from this project will contribute to a more nuanced understanding of lung cancer risk among non-smoking Asian American women and may inform the development of more inclusive screening criteria, ensuring that high-risk individuals are not excluded based on smoking history alone. This research directly supports national efforts to reduce health disparities and improve cancer outcomes through personalized, evidence-based screening strategies.
Aim 1: To characterize the demographic and clinical profiles of Asian American women in the NLST cohort.
We will identify and describe the Asian American female participants in the dataset, summarizing their demographic, smoking history, occupational/environmental exposures, family history of lung cancer, comorbidities, etc.
Aim 2: To investigate the role of non-smoking-related risk factors in predicting lung cancer incidence among Asian American women.
We will use multivariable logistic regression to examine associations between lung cancer outcomes and non-smoking factors such as second-hand smoke exposure, family history, comorbidities, occupational/environmental exposures, etc.
Barbara McMorris, School of Nursing, University of Minnesota Twin Cities
Ju Sun, Department of Computer Science & Engineering, University of Minnesota Twin Cities