Table 3. Odds of seropositivity among the study participants residing in slum and non-slum areas.

	Overall	Slum	Non-slum
Variables	OR(95% CI)	OR (95% CI)	OR(95% CI)
Sex
Male	Ref.	Ref.	Ref.
Female	1.62(1.40, 1.86)	1.70(1.01, 2. 94)	1.25(0.87, 1. 73)
Years of education
11–15 years	Ref.	-	Ref.
6–10 years	1.47 (1.16, 1.88)	Ref.	1.32(1.02, 1. 75)
1–5 years	1. 45(1.05, 11.99)	120(0. 76, 1. 95)	1.39(0.96, 1.70)
No education	0.86 (0.62, 1.19)	0. 87(0.44, 1.70)	0.58 (0. 34, 1.03)
Monthly family income, taka
>70000	Ref.	-	Ref.
40000–70000	1.35 (1.08, 1.72)	Ref	1.39(1.09, 1.86)
20000–40000	1. 28(0. 97, 1.63)	1.47(0.70, 3.42)	1.21(0.96, 1.70)
<20000	1.13(0.85, 1. 48)	2.43(1.20, 5.21)	1.35(0.86, 2.23)
BMI
Normal	Ref.	Ref.	Ref.
Underweight	0.97(0.75, 1.27)	0.73(0.56, 0.94)	1.28 (0.81, 2.05)
Overweight	1.35(1.26, 1. 97)	1.28(1.01, 1.63)	1.39 (1.05, 1.79)
BCG vaccination
Not given	Ref.	Ref.	Ref.
Given	0.84(0.60, 0.96)	0.79(0.48, 1. 17)	0.80 (0.51, 1.35)

Data was presented as Odds ratio (OR) with 95% confidence interval. Bayesian multivariate generalized linear mixed model was applied to estimate seroprevalence-associated risks (odds ratio). The regression model was adjusted by sex, age, years of education, occupation, family income and body mass index (BMI).