Table 4.
Water insecurity and sociodemographic factors associated with alcohol misuse and COVID-19 stress among participants in Mumbai, India and Bangkok, Thailand (N = 650)
| Characteristics | Alcohol misuse symptoms | COVID-19 stress | ||||||
|---|---|---|---|---|---|---|---|---|
| Mumbai, India | Bangkok, Thailand | Mumbai, India | Bangkok, Thailand | |||||
| Crude OR (95% CI) | Adjusted OR (95% CI) | Crude OR (95% CI) | Adjusted OR (95% CI) | Crude OR (95% CI) | Adjusted OR (95% CI) | Crude OR (95% CI) | Adjusted OR (95% CI) | |
| Age | 1.04 (0.99, 1.08) | 1.04(1.00, 1.08)* | 0.96(0.93, 0.98)* | 0.96(0.93, 0.99)* | 0.1 (−0.02, 0.22) | 0.12 (−0.01, 0.24)* | −0.02 (−0.11, 0.08) | −0.03(−0.12, 0.06) |
| Gender | ||||||||
| Cisgender | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref |
| Transgender | 1.46 (0.81, 2.61) | 1.28 (0.68, 2.42) | 1.21(0.76,1.92) | 1.13 (0.69, 1.84) | 0.80 (−0.95, 2.55) | 0.23 (−1.57, 2.03) | 0.94 (−0.64, 2.52) | 0.62 (−0.91, 2.15) |
| Water insecure | ||||||||
| No | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref |
| Yes | 1.91(1.04, 3.49)* | 2.00(1.04, 3.83)* | 2.34(1.36, 4.01)** | 2.06(1.16, 3.66)* | 4.19 (2.36, 6.01)** | 3.86 (1.96, 5.76)** | 4.46(2.61, 6.31)** | 4.03 (2.15, 5.92)** |
| Educational status | ||||||||
| None/primary/elementary | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref |
| Secondary/high school | 1.30 (0.42, 4.06) | 1.34 (0.42, 4.29) | 1.03 (0.35, 3.07) | 1.25 (0.40, 3.90) | −0.19 (−3.39, 3.0) | −0.27 (−3.35, 2.80) | −2.94 (−6.83, 0.96) | −2.24 (−6.00, 1.53) |
| College/university | 1.16 (0.36, 3.78) | 1.24 (0.36, 4.22) | 0.41 (0.14, 1.19) | 0.55 (0.18, 1.68) | 0.12(−3.18, 3.43) | 0.17 (−3.08, 3.41) | −3.01(−6.75, 0.72) | −0.96 (−4.61, 2.69) |
| Job lost | ||||||||
| No | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref |
| Yes | 0.84 (0.47, 1.50) | 0.76 (0.41, 1.40) | 1.30 (0.84, 2.03) | 1.01 (0.63, 1.62) | 2.85 (1.13, 4.56)** | 2.26 (0.55, 3.97)** | 3.16(1.71, 4.62)** | 2.94 (1.47, 4.40)** |
CI, confidence interval.
p < 0.05;
p < 0.01.