Table 2.

Sociodemographic factors associated with water security among participants in Mumbai and Bangkok (N = 650)

Characteristics	Mumbai, India (n = 290)				Bangkok, Thailand (n = 360)
	Water insecurity				Water insecurity
	No	Yes	Odds ratio/95% CI		No	Yes	Odds ratio/95% CI
	N (%)	N (%)	Crude	Adjusted	N (%)	N (%)	Crude	Adjusted
Age	30.1 (7.2)	29.0 (6.6)	0.98 (0.94, 1.02)	0.97 (0.93, 1.02)	31.4 (7.9)	31.9 (7.2)	1.01 (0.97, 1.04)	1.01 (0.98, 1.05)
Gender
Cisgender	139 (79.9)	35 (20.1)	Ref	Ref	202 (83.1)	41 (16.9)	Ref	Ref
Transgender	67 (57.8)	49 (42.2)	2.90 (1.72, 4.90)**	3.35 (1.90, 5.92)**	91 (77.8)	26 (22.2)	1.41 (0.81, 2.44)	1.21 (0.68, 2.16)
Education status
None/primary/elementary	17 (70.8)	7 (29.2)	Ref	Ref	7 (46.7)	8 (53.3)	Ref	Ref
Secondary/high school	112 (70.0)	48 (30.0)	1.04 (0.41, 2.67)	1.23 (0.45, 3.33)	71 (73.2)	26 (26.8)	0.32 (0.11, 0.97)*	0.29 (0.09, 0.92)*
College/university	77 (72.6)	29 (27.4)	0.91 (0.34, 2.43)	1.53 (0.53, 4.42)	215 (86.7)	33 (13.3)	0.13 (0.05, 0.39)**	0.14 (0.05, 0.44)**
Employment status
No	72 (66.1)	37 (33.9)	Ref	Ref	61 (75.3)	20 (24.7)	Ref	Ref
Yes	133 (73.9)	47 (26.1)	0.69 (0.41, 1.15)	0.88 (0.50, 1.54)	232 (83.2)	47(16.9)	0.62 (0.34, 1.12)	0.87 (0.46, 1.66)
HIV status
Negative	187 (70.6)	78(29.4)	Ref	Ref	273 (81.1)	64 (18.9)	Ref	Ref
Positive	19 (76.0)	6 (24.0)	0.76 (0.29, 1.97)	0.90 (0.33, 2.47)	20 (86.9)	3 (13.1)	0.64 (0.18, 2.22)	0.59 (0.16, 2.11)
COVID-19 job loss
No	159 (69.7)	69 (30.3)	Ref	Ref	47 (67.1)	23 (32.9)	Ref	Ref
Yes	47 (75.8)	15 (24.2)	2.23 (1.28, 3.87)**	2.52 (1.41, 4.53)**	246 (84.8)	44 (15.2)	2 (1.15, 3.50)*	1.71 (0.94, 3.12)

CI, confidence interval.

^* p < 0.05;

^** p < 0.01.