The socio-demographic and clinical data of the participants were entered in the REDCapTM electronic data capture tool, version 6.5.0 (Vanderbilt University, Nashville, Tennessee). Prevalence of T. vaginalis was expressed as a percentage with exact 95% binomial confidence intervals (CIs). Univariable logistic regression was used to determine associations of T. vaginalis presence with socio-demographic data, hygienic data, sexual behavior, and vaginal signs & symptoms. Variables significant at P ≤ 0.1 in bivariable analysis were entered into a multivariable model to identify independent associations. Crude odds ratios (COR) and adjusted odds ratios (AOR) were calculated. These statistical analyses were done using STATA, version 13.1 (Stata-Corp, College Station, Texas).