Table 3.

Sociodemographic factors or behavioral variables associated with the presence of vaginal infection.

	P-value	OR	95% CI	Adjusted P-value
Age
21–30	0.355	0.77	0.44–1.35	0.549
31–40	0.919	0.96	0.41–2.26	0.919
41–50	0.412	0.57	0.15–2.16	0.549
Over 50	0.181	2.39	0.67–8.59	0.549
Education level
≤ Basic	0.628	0.58	0.06–5.27	0.628
Secondary	0.544	0.84	0.47–1.48	0.628
Occupation
Housewife	0.639	1.49	0.28–7.85	0.639
Unprofessional	0.048*	2.33	1.01–5.37	0.144
Professional	0.556	1.20	0.66–2.18	0.639
Civil status
Free union	0.143	2.72	0.71–10.37	0.215
Married	0.348	0.70	0.33–1.49	0.348
Divorced	0.143	2.72	0.71–10.37	0.215
Sexual partner
Having	0.412	0.82	0.52–1.31	0.412
Contraceptive use
Yes	0.603	1.13	0.71–1.82	0.603
Birth control methods
Condom	0.162	1.47	0.86–2.52	0.648
Hormonal contraception	0.752	0.89	0.43–1.85	0.901
Combined	0.470	0.74	0.33–1.67	0.901
Others	0.901	1.09	0.28–4.17	0.901

Univariable logistic regression analyses were conducted to examine how different subcategories (independent variables) were associated with the presence of vaginal infection (dependent variable). The following subcategories of each category were used as reference for statistical analysis: Under 20 in Age; University in Education Level; Student in Occupation; Single in Civil Status; Not Having in Sexual Partner; No in Contraceptive Use; None or Don’t answer in Birth Control Methods. Odds ratios (OR) and 95% confidence intervals (CI) obtained as measurements of relative risks and the assessments of independent risk factors for vaginal infection establishment. A value of P < 0.05 and 95% confidence intervals were considered significant for the test: *P ≤ 0.05. All initial values of P < 0.05 obtained by univariable logistic regression analyses were then evaluated through Benjamini–Hochberg (BH) adjustment to detect false discovery rate (FDR) for conducting multiple comparisons. These P-values evaluated by BH adjustment were illustrated in the table as adjusted P-values.