Document Type
Article
Publication Date
7-19-2022
Abstract
Background: The inverse relationship between BMI and lung cancer diagnosis is well defined. However, few studies have examined the racial differences in these relationships. The purpose of this paper is to explore the relationships amongst race, BMI, and lung cancer diagnosis using the National Lung Screening Trial (NLST) data.
Methods: Multivariate regression analysis was used to analyze the BMI, race, and lung cancer diagnosis relationships.
Results: Among 53,452 participants in the NLST cohort, 3.9% were diagnosed with lung cancer, 43% were overweight, and 28% were obese. BMI was inversely related to lung cancer diagnosis among Whites: those overweight (aOR = .83, 95%CI = .75-.93), obese (aOR = .64, 95%CI = .56-.73) were less likely to develop lung cancer, compared to those with normal weight. These relationships were not found among African-Americans.
Conclusion: Our findings indicate that the inverse relationship of BMI and lung cancer risk among Whites is consistent, whereas this relationship is not significant for African-Americans. In consideration of higher lung cancer incidence among African Americans, we need to explore other unknown mechanisms explaining this racial difference.
Recommended Citation
Zhao, Joy; Barta, Julie; McIntire, Russell K.; Shusted, Christine S.; Zeigler-Johnson, Charnita; and Juon, Hee-Soon, "Racial Difference in BMI and Lung Cancer Diagnosis: Analysis of the National Lung Screening Trial" (2022). Department of Medical Oncology Faculty Papers. Paper 198.
https://jdc.jefferson.edu/medoncfp/198
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
PubMed ID
35854273
Language
English
Comments
This article is the author’s final published version in BMC Cancer, Volume 22, Issue 1, July 2022, Article number 797.
The published version is available at https://doi.org/10.1186/s12885-022-09888-4. Copyright © Zhao et al.