Table 2.

Logistic Regression Analysis for Tuberculosis Infection

Characteristic	AOR	95% CI		P Value
HIV-status
HIV-negative	Ref	Ref	Ref
HIV-positive	1.43	1.03	1.99	.031
Age, y	1.069	1.045	1.093	< .0001

Multivariate logistic regression model for tuberculosis (TB) infection, defined as latent TB infection or previous or current active TB infection. The model was constructed in a stepwise forward selection method, with variables with univariate P < .10 eligible for inclusion and likelihood ratio test used to determine the contributed model fitness. Bonferroni-adjusted level of significance: 0.0038.

Abbreviations: AOR, adjusted odds ratio; CI, confidence interval; HIV, human immunodeficiency virus.