Document Type

Capstone Experience

Graduation Date

5-2025

Degree Name

Master of Public Health

Department

Biostatistics

First Committee Member

Gleb R. Haynatzki

Second Committee Member

Abraham Mengist

Third Committee Member

Peter Julius

Abstract

Objective

To identify and evaluate potential risk factors for OSSN at the University Teaching Hospital (UTH) in Lusaka, Zambia.

Methods

Data from 475 patients were analyzed retrospectively, and it included 390 with OSSN and 85 with benign biopsies. Variables with significance values

Results

Several key predictors of OSSN were identified after controlling for confounders in the household cooks sub-population, these were, a lower household income (adjusted odds ratio [aOR] = 0.64, 95% CI: 0.46–0.90, p = .009), a Lab confirmed HIV-positive status (aOR = 3.56, 95% CI: 1.72–7.21, p = .001) and exposure to biomass smoke (aOR = 2.47, 95% CI: 1.05–5.84, p = .039).

Conclusion

Lower household income and HIV-positive status were identified as significant risk factors, underscoring the need for targeted public health interventions. Logistic regression models outperformed regularized methods in predicting OSSN risk. We recommend improved healthcare access, HIV screening, and environmental protection measures could significantly reduce OSSN incidence in at-risk populations.

Available for download on Saturday, June 14, 2025

Included in

Epidemiology Commons

Share

COinS