Table 2. Sociodemographic characteristics and behavioral, economic, and social impact from COVID-19 associated with receiving HIV testing during COVID-19 among MSM in Jiangsu Province, China(N = 436).
| Characteristics | Total participants (N = 436) | Percent | Getting HIV test (N = 147) | Proportion | P value | Unadjusted OR (95%CI) | Adjusted OR (95%CI) |
|---|---|---|---|---|---|---|---|
| Demographic characteristics | |||||||
| Age | |||||||
| ≥41 | 95 | 21.8 | 40 | 42.11 | 0.059 | 2.18(1.22–3.90)** | |
| 31–40 | 104 | 23.9 | 38 | 36.54 | 1.73(0.97–3.07)+ | ||
| 25–30 | 117 | 26.8 | 39 | 33.33 | 1.50(0.85–2.64) | ||
| 18–24 | 120 | 27.5 | 30 | 25.00 | Reference | ||
| Years living in local cities | |||||||
| >2 years | 300 | 68.8 | 112 | 37.33 | 0.018 | 1.72(1.10–2.70)* | |
| ≤2 year | 136 | 31.2 | 35 | 25.74 | Reference | ||
| Marital status | |||||||
| Married | 119 | 27.3 | 52 | 43.70 | 0.007 | 1.81 (1.17–2.80)** | 1.89(1.19–3.01) ** |
| Single | 317 | 72.7 | 95 | 29.97 | Reference | Reference | |
| Impact from COVID-19 | |||||||
| Anxiety or stress | |||||||
| Increased | 229 | 52.5 | 76 | 33.19 | 0.016 | 1.11(0.73–1.68) | |
| Decreased | 23 | 5.3 | 14 | 60.87 | 3.47(1.42–8.47)** | ||
| Same | 184 | 42.2 | 57 | 30.98 | Reference | ||
| Quality of sleep | |||||||
| Increased | 65 | 14.9 | 37 | 56.92 | < .01 | 3.10(1.78–5.40)*** | 2.07(1.11–3.86) * |
| Decreased | 100 | 22.9 | 29 | 29.00 | 0.96(0.58–1.59) | 0.86(0.50–1.49) | |
| Same | 281 | 62.2 | 81 | 29.89 | Reference | Reference | |
| Difficulty accessing health care | |||||||
| Increased | 90 | 20.6 | 45 | 50.00 | < .01 | 2.55(1.58–4.12)*** | 2.34 (1.37–3.99) ** |
| Decreased | 30 | 6.9 | 13 | 43.33 | 1.95(0.91–4.18)+ | 2.08(0.90–4.81) + | |
| Same | 316 | 72.5 | 89 | 28.16 | Reference | Reference | |
| Number of sex partners | |||||||
| Increased | 18 | 4.1 | 7 | 38.89 | 0.450 | 1.13(0.42–3.03) | |
| Decreased | 196 | 45.0 | 60 | 30.61 | 0.78(0.52–1.18) | ||
| Same | 222 | 50.9 | 80 | 36.04 | Reference | ||
| Opportunities to have sex | |||||||
| Increased | 24 | 5.5 | 15 | 62.50 | 0.004 | 3.08(1.28–7.42)* | 1.75(0.66–4.61) |
| Decreased | 227 | 52.1 | 67 | 29.52 | 0.77(0.51–1.17) | 0.60(0.38–0.95) * | |
| Same | 185 | 42.4 | 65 | 35.14 | Reference | Reference | |
| Use of dating/hook-up apps or websites to connect virtually with other men | |||||||
| Increased | 121 | 27.8 | 33 | 27.27 | 0.211 | 0.66(0.40–1.08)+ | |
| Decreased | 114 | 26.2 | 41 | 35.96 | 0.99(0.61–1.59) | ||
| Same | 201 | 46.1 | 73 | 36.32 | Reference | ||
| Use of dating/hook-up apps or websites to meet other men in person | |||||||
| Increased | 26 | 6.0 | 7 | 26.92 | 0.378 | 0.62(0.25–1.55) | |
| Decreased | 233 | 53.4 | 74 | 31.76 | 0.78(0.52–1.18) | ||
| Same | 177 | 40.6 | 66 | 37.29 | Reference | ||
| Use of condoms | |||||||
| Increased | 33 | 7.6 | 17 | 51.52 | 0.038 | 2.35(1.14–4.82)* | |
| Decreased | 53 | 12.1 | 21 | 39.62 | 1.45(0.80–2.63) | ||
| Same | 350 | 80.3 | 109 | 31.14 | Reference | ||
| Illicit drug use | |||||||
| Increased | 6 | 1.4 | 3 | 50.00 | 0.593 | 1.95(0.39–9.78) | |
| Decreased | 47 | 10.8 | 14 | 29.79 | 0.83(0.43–1.60) | ||
| Same | 383 | 87.8 | 130 | 33.94 | Reference | ||
| Alcohol use | |||||||
| Increased | 66 | 15.2 | 21 | 31.82 | 0.025 | 1.05(0.59–1.87) | |
| Decreased | 79 | 18.1 | 37 | 46.84 | 1.99(1.20–3.31)** | ||
| Same | 291 | 66.7 | 89 | 30.69 | Reference | ||
| Lost Job | |||||||
| Yes | 67 | 15.4 | 28 | 41.79 | 0.129 | 1.51(0.89–2.57) | |
| No | 369 | 84.6 | 119 | 32.25 | Reference | ||
| Lost health insurance | |||||||
| Yes | 35 | 8.0 | 10 | 6.8 | 0.817 | 0.910(0.409–2.035) | |
| No | 401 | 92.0 | 18 | 6.2 | Reference | ||
| Lost housing | |||||||
| Yes | 35 | 8.0 | 15 | 10.2 | 0.233 | 0.654(0.325–1.319) | |
| No | 401 | 92.0 | 20 | 6.9 | Reference |
+ p < .10
*p < .05
**p < .01
***p < .001.