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

**Authors:** Vivian Tieu, Samuel MacDowell, Sedra Tibi, Bradley Ventayen, Mukesh Agarwal

PMC · DOI: 10.3390/ijerph21060781 · 2024-06-15

## TL;DR

This study identifies populations at higher risk for lung cancer mortality using data from the NHANES survey and USPSTF screening guidelines.

## Contribution

The study applies the 2021 USPSTF guidelines to NHANES data to identify risk factors for lung cancer mortality in an eligible population.

## Key findings

- Male sex, African and Hispanic ethnicity, lower education, and secondhand smoke exposure correlate with higher lung cancer mortality risk.
- Emotional support from NHANES data did not reduce lung cancer mortality risk.
- The LC Death Risk Assessment Tool was used to quantify mortality risk in the USPSTF-eligible population.

## 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

## Linked entities

- **Diseases:** lung cancer (MONDO:0005138)

## Full-text entities

- **Diseases:** cancer (MESH:D009369), LC (MESH:D008175), Death (MESH:D003643)

## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11203664/full.md

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Source: https://tomesphere.com/paper/PMC11203664