Binary Logistic Regression Analysis of Sociodemographic and Clinical Determinants of HIV-TB Coinfection Among Patients Attending HIV Clinics
DOI:
https://doi.org/10.62054/ijdm/0302.13Abstract
The present study explored the predictors of tuberculosis (TB) infection status among individuals with HIV infection in Adamawa State, Nigeria, through chi-square tests for independence and binary logistic regression. Specifically, a retrospective cross-sectional design was used, and the source of data was secondary in nature and gathered from the records of HIV-positive patients at the Specialist Hospital, Yola. A sample of 969 HIV-infected patients who were living in fifteen Local Government Areas (LGAs) in Adamawa State was selected. Out of these patients, 811 (83.7%) had no TB infection, while 158 (16.3%) had TB infection, resulting in the prevalence of 16.3%. There were five predictor variables, namely, LGA of residence, sex, current body weight, age group, and current viral load. Bivariate analysis showed that LGA (χ² = 176.561, p < 0.001) and current body weight (χ² = 14.428, p = 0.001) were associated with TB infection, but not sex, age group, and viral load. Binary logistic regression was found to be significant (χ² = 168.865, df = 21, p < 0.001), fit well (Hosmer-Lemeshow p = 0.546), accounted for 27.2% of the variance in the outcome variable (Nagelkerke R² = 0.272). In the bivariate model, LGA and current weight were found to be independent predictors of TB; the patients residing in Hong (OR = 43.951), Mayo-Belwa (OR = 8.164), Maiha (OR = 5.907), and Michika (OR = 2.997) were found to have significantly higher odds of co-infection than that of Yola South, while patients with a weight range of 30–60 kg had twice the odds of having TB infection than patients with a weight range above 60 kg. Gender, age category, and viral load status were not statistically significant as independent predictors of TB infection.
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