Occupational Differences in Cancer Prevalence Among U.S. Adults: Evidence from NHIS 2023

Authors

  • Shiying Wu

DOI:

https://doi.org/10.54097/b1pczv19

Keywords:

Cancer Prevalence; Occupation; Weighted GLM; Sensitivity Analysis; Epidemiology.

Abstract

This analysis examines how lifetime cancer prevalence differs across major occupation groups among U.S. adults, using the 2023 National Health Interview Survey (NHIS). All estimates apply the final adult sample weight (WTFA_A) so that results represent the national population. The outcome was whether a respondent had ever been told by a health professional that they had cancer (CANEV_A). Occupation (EMDOCCUPN2_A), sex, and age served as the core predictors. Weighted prevalence and 95% confidence intervals were reported overall and by demographic subgroups. Adjusted contrasts came from survey‑weighted logistic regression (binomial link) across 23 Standard Occupational Classification (SOC) major groups, with the largest weighted group used as the reference. Four prespecified robustness checks were used to gauge sensitivity: pooling very small occupation groups (n < 100), replacing the continuous age term with age‑band indicators (18–44, 45–64, 65+), estimating sex‑stratified models, and excluding the Armed Forces. Cancer prevalence was higher among legal and community/social service workers and lower among farming workers and members of the Armed Forces. These contrasts remained stable across the robustness checks.

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References

[1] National Center for Health Statistics. (2023). National Health Interview Survey (NHIS), 2023 Sample Adult File. Hyattsville, MD: U.S. Department of Health and Human Services.

[2] Siegel, R. L., Miller, K. D., & Jemal, A. (2023). Cancer statistics, 2023. CA: A Cancer Journal for Clinicians, 73(1), 17–48.

[3] Loomis, D., et al. (2018). The global burden of occupational carcinogens. American Journal of Industrial Medicine, 61(9), 778–792.

[4] Ward, E., et al. (2010). Occupational exposure to carcinogens in the United States: Results from a national survey. Journal of Occupational and Environmental Medicine, 52(7), 742–748.

[5] U.S. Bureau of Labor Statistics. (2023). Standard Occupational Classification (SOC) Manual. Washington, DC: BLS.

[6] International Agency for Research on Cancer (IARC). (2022). Monographs on the Identification of Carcinogenic Hazards to Humans. Lyon, France: IARC.

[7] Lumley, T. (2010). Complex Surveys: A Guide to Analysis Using R. John Wiley & Sons.

[8] Rushton, L., et al. (2012). Occupational cancer burden in Great Britain. British Journal of Cancer, 107(S1), S3–S7.

[9] GBD 2023 Risk Factors Collaborators. (2024). Global burden of occupational carcinogen exposure, 1990–2023. The Lancet Public Health, 9(3), e180–e192.

[10] R Core Team. (2023). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing.

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Published

10-02-2026

Issue

Section

Articles

How to Cite

Wu, S. (2026). Occupational Differences in Cancer Prevalence Among U.S. Adults: Evidence from NHIS 2023. International Journal of Biology and Life Sciences, 13(2), 390-395. https://doi.org/10.54097/b1pczv19