Table 4.
Regression models for self-reported changes in number of sexual partner, number of anal sex partner and number of unprotected anal sex partners in an online sample of gay, bisexual and other men who have sex with men (GBMSM) (n = 279)
| Characteristic | Change in number of sex partners | Change in number of anal sex partners | Change in number of unprotected anal sex partners |
|---|---|---|---|
| Beta (SE) p-value | Beta (SE) p-value | Beta (SE) p-value | |
| Age (18–24) | |||
| 25–34 | 0.115 (0.844) 0.415 | − 0.214 (2.637) 0.124 | − 0.259 (0.450) 0.214 |
| 35–44 | 0.752 (0.941) 0.247 | − 2.231 (2.993) 0.487 | − 0.232 (0.500) 0.414 |
| > 45 | 1.720 (1.119) 0.092 | − 2.401 (2.350) 0.484 | − 0.444 (0.509) 0.745 |
| Education (high school) | |||
| Some college | 0.735 (0.750) 0.127 | − 2.868 (1.250) 0.017 | − 0.018 (0.401) 0.274 |
| College graduate or graduate school | 0.295 (0.834) 0.414 | − 1.054 (0.059) 0.013 | − 0.277 (0.441) 0.278 |
| Employed (Yes) | |||
| No | 0.038 (0.798) 0.089 | − 0.049 (2.451) 0.179 | 0.209 (0.418) 0.332 |
| Race (Black/African American) | |||
| White | − 0.791 (1.393) 0.217 | 1.561 (2.831) 0.358 | 0.290 (0.731) 0.278 |
| Other | − 0.793 (1.524) 0.398 | − 0.321 (2.864) 0.298 | 0.291 (0.799) 0.541 |
| Sexual identity (Gay/homosexual) | |||
| Bisexual/other | 4.749 (1.296) 0.003 | 0.483 (0.089) 0.023 | 2.478 (0.680) 0.032 |
| HIV sero-status (HIV-negative) | |||
| HIV-positive | − 0.288 (0.053) 0.000 | − 3.299 (1.233) 0.001 | − 0.137 (0.552) 0.412 |
| Relationship status (single) | |||
| Has partner (i.e. boyfriend) | 0.533 (0.606) 0.841 | − 2.086 (1.862) 0.478 | 0.158 (0.318) 0.452 |
| Married to male partner | 0.133 (0.846) 0.651 | 0.949 (2.600) 0.845 | 0.019 (0.441) 0.521 |
| Change in substance use during lockdown (stayed the same) | |||
| Increased | 1.234 (0.186) 0.023 | 5.697 (2.706) 0.029 | 0.294 (0.038) 0.011 |
| Decreased | − 0.956 (0.733) 0.078 | − 1.645 (2.555) 0.298 | − 0.287 (0.362) 0.089 |
| Change in binge drinking during lockdown (stayed the same) | |||
| Increased | 1.527 (0.691) 0.037 | 0.874 (0.124) 0.034 | 0.227 (0.362) 0.125 |
| Decreased | 0.484 (0.735) 0.495 | 0.793 (2.261) 0.546 | 0.284 (0.386) 0.099 |
| Have skipped meals due to COVID-19 (no) | |||
| Yes | − 1.775 (0.145) 0.037 | − 1.695 (3.212) 0.641 | 0.188 (0.584) 0.278 |
| Have experienced homelessness during COVID-19 (no) | |||
| Yes | − 0.908 (0.321) 0.021 | 0.662 (1.435) 0.453 | − 0.470 (0.080) 0.039 |
| Perceived prevalence of COVID-19 among US population | 0.054 (0.032) 0.189 | 0.145 (0.098) 0.741 | − 0.038 (0.016) 0.017 |
| Perceived prevalence of COVID-19 among state population | − 0.055 (0.037) 0.517 | − 0.233 (0.111) 0.019 | − 0.050 (0.012) 0.047 |
| Perceived prevalence of COVID-19 among county population | − 0.062 (0.030) 0.024 | 0.069 (0.095) 0.821 | 0.020 (0.016) 0.451 |
| Perceived prevalence of COVID-19 among friends | − 0.050 (0.023) 0.021 | − 0.606 (0.070) 0.027 | 0.012 (0.011) 0.458 |
| Perceived prevalence of COVID-19 among sex partners | − 0.044 (0.019) 0.002 | − 0.189 (0.075) 0.033 | − 0.050 (0.011) 0.022 |
| When will the COVID-19 pandemic end | |||
| Within the next 6 months | 1.355 (1.388) 0.078 | 3.536 (4.120) 0.147 | 1.515 (0.703) 0.014 |
| Within the next 6 months to 1 year | 0.129 (0.056) 0.048 | 1.558 (4.226) 0.184 | 1.962 (0.782) 0.005 |
| In 1 to 5 years | 0.413 (0.061) 0.017 | 2.667 (4.804) 0.217 | 2.412 (0.820) 0.034 |
| How likely are you to take the COVID-19 vaccine (Very likely) | |||
| Somewhat likely | 0.964 (0.760) 0.217 | 4.034 (2.335) 0.741 | 0.504 (0.398) 0.351 |
| Somewhat unlikely/very unlikely | 1.219 (0.315) 0.035 | 0.470 (0.075) 0.032 | 0.397 (0.069) 0.021 |
Figures in italics are significant at the 5% level