Identifying Populations at Risk for Lung Cancer Mortality from the National Health and Nutrition Examination Survey (2001–2018) Using the 2021 USPSTF Screening Guidelines

Vivian Tieu (), Samuel MacDowell, Sedra Tibi, Bradley Ventayen and Mukesh Agarwal
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Vivian Tieu: Department of Medical Education, Faculty of Medicine, California University of Science and Medicine, Colton, CA 92324, USA
Samuel MacDowell: Department of Medical Education, Faculty of Medicine, California University of Science and Medicine, Colton, CA 92324, USA
Sedra Tibi: Department of Medical Education, Faculty of Medicine, California University of Science and Medicine, Colton, CA 92324, USA
Bradley Ventayen: Department of Medical Education, Faculty of Medicine, California University of Science and Medicine, Colton, CA 92324, USA
Mukesh Agarwal: Department of Medical Education, Faculty of Medicine, California University of Science and Medicine, Colton, CA 92324, USA

IJERPH, 2024, vol. 21, issue 6, 1-13

Abstract: Lung cancer (LC) is the leading cause of cancer mortality in the United States. To combat this predicament, early screening and critically assessing its risk factors remain crucial. The aim of this study was to identify the value of specific factors from the National Health and Nutrition Examination Survey (NHANES) from 2001–2018, as they relate to lung cancer mortality in the US Preventive Services Task Force (USPSTF)-eligible population. A total of 3545 adults who met USPSTF criteria were extracted from 81,595 NHANES participants. The LC Death Risk Assessment Tool was used to calculate the number of deaths per 1000 individuals. The Mann–Whitney U test and one-way ANOVA determined the statistical significance of the factors involved in LC mortality. Male sex, African and Hispanic ethnicity, lower education attainment, and secondhand exposure to cigarette smoke correlated with an increased risk of LC mortality. Additionally, the factor of emotional support from NHANES data was analyzed and did not show any benefit to reducing risk. By identifying individuals at high-risk, preventative measures can be maximized to produce the best possible outcome

Keywords: lung cancer screening; preventative health; health inequity; race; socioeconomic (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2024
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