Table 2:
Factors associated with willingness to use long-acting injectable (LAI-) PrEP among Nigerian sexual minority men SMM, bivariate and multivariable (N=305)
| Total Sample (N=305) |
Willingness to Use LAI PrEP |
P-Value | Logistic Regression Modeling | |||
|---|---|---|---|---|---|---|
| Willing (n=269, 88.2%) |
Not Willing/ Not Sure (n=36, 11.8%) |
Unadjusted Odds Ratio (95% Confidence Interval) |
Adjusted Odds Ratio (95% Confidence Interval) |
|||
| Demographics | ||||||
| Site | 0.99 | |||||
| Abuja | 59 (19.5) | 52 (88.1) | 7 (11.9) | Ref | ||
| Delta | 88 (29.1) | 78 (88.6) | 10 (11.4) | 1.05 (0.38-2.93) | ||
| Lagos | 83 (27.5) | 73 (88.0) | 10 (12.0) | 0.98 (0.35-2.75) | ||
| Plateau | 72 (23.8) | 63 (87.5) | 9 (12.5) | 0.94 (0.33-2.70) | ||
| Age | 0.36 | |||||
| 18-24 years | 70 (23.4) | 59 (84.3) | 11 (15.7) | Ref | ||
| 25-29 years | 87 (29.1) | 76 (87.4) | 11 (12.6) | 1.29 (0.52-3.18) | ||
| 30+ years | 142 (47.5) | 129 (90.9) | 13 (9.1) | 1.85 (0.78-4.37) | ||
| Relationship Status | 0.03 | |||||
| Single | 186 (61.0) | 170 (91.4) | 16 (8.6) | 2.15 (1.06-4.33) * | 2.14 (1.04-4.39) * | |
| Not Single | 119 (39.0) | 99 (83.2) | 20 (16.8) | Ref | Ref | |
| Educational Attainment | 0.92 | |||||
| Senior Secondary School or lower | 142 (46.6) | 125 (88.0) | 17 (12.0) | Ref | ||
| Some University or Vocational School | 65 (21.3) | 58 (89.2) | 7 (10.8) | 1.13 (0.44-2.87) | ||
| University degree or higher | 80 (26.2) | 71 (88.8) | 9 (11.2) | 1.07 (0.46-2.53) | ||
| Other | 18 (5.9) | 15 (83.3) | 3 (16.7) | 0.68 (0.18-2.60) | ||
| Sexual Orientation | 0.56 | |||||
| Gay/Homosexual | 113 (37.3) | 98 (86.7) | 15 (13.3) | Ref | ||
| Bisexual | 190 (62.7) | 169 (89.0) | 21 (11.0) | 0.81 (0.40-1.65) | ||
| Religious Affiliation | 0.94 | |||||
| Christian | 190 (62.5) | 168 (88.4) | 22 (11.6) | Ref | ||
| Muslim | 93 (30.6) | 82 (88.2) | 11 (11.8) | 0.98 (0.45-2.11) | ||
| Other | 21 (6.9) | 18 (85.7) | 3 (14.3) | 0.79 (0.21-2.88) | ||
| Social Marginalization | ||||||
| Monthly income (in Naira) | 0.28 | |||||
| 0-10,000 | 82 (27.3) | 74 (90.2) | 8 (9.8) | Ref | ||
| 10,000-30,000 | 84 (28.0) | 72 (85.7) | 12 (14.3) | 0.65 (0.25-1.68) | ||
| 30,000-50,000 | 62 (20.7) | 53 (85.5) | 9 (14.5) | 0.64 (0.23-1.76) | ||
| 50,000-100,000 | 35 (11.7) | 29 (82.9) | 6 (17.1) | 0.52 (0.17-1.64) | ||
| 100,000+ | 37 (12.3) | 36 (97.3) | 1 (2.7) | 3.89 (0.47-32.3) | ||
| Employment Status | 0.29 | |||||
| Employed | 241 (79.0) | 215 (89.2) | 26 (10.8) | 1.53 (0.70-3.37) | ||
| Unemployed | 64 (21.0) | 54 (84.4) | 10 (15.6) | Ref | ||
| Financial Hardship | 0.36 | |||||
| High | 180 (59.6) | 156 (86.7) | 24 (13.3) | 0.71 (0.34-1.48) | ||
| Low | 122 (40.4) | 110 (90.2) | 12 (9.8) | Ref | ||
| Sexual Health | ||||||
| Any history of STIs | 0.12 | |||||
| Yes | 121 (39.8) | 111 (91.7) | 10 (8.3) | 1.84 (0.85-3.97) | ||
| No | 183 (60.2) | 157 (85.8) | 26 (14.2) | Ref | ||
| STIs in the past year | ||||||
| Yes | 86 (28.5) | 79 (91.9) | 7 (8.1) | 1.75 (0.74-4.16) | ||
| No | 216 (71.5) | 187 (86.6) | 29 (13.4) | Ref | ||
| # of Receptive Anal sex acts in last 30 days | 0.95 | |||||
| 0 | 146 (48.0) | 128 (87.7) | 18 (12.3) | Ref | ||
| 1 | 43 (14.1) | 37 (86.1) | 6 (13.9) | 0.87 (0.32-2.34) | ||
| 2-3 | 65 (21.4) | 58 (89.2) | 7 (10.8) | 1.17 (0.46-2.94) | ||
| 4-5 | 35 (21.4) | 32 (91.4) | 3 (8.6) | 1.50 (0.42-5.41) | ||
| 6+ | 15 (4.9) | 13 (86.7) | 2 (13.3) | 0.91 (0.19-4.39) | ||
| # of Insertive Anal sex acts in last 30 days | 0.71 | |||||
| 0 | 104 (34.4) | 92 (88.5) | 12 (11.5) | Ref | ||
| 1 | 40 (13.3) | 34 (85.0) | 6 (15.0) | 0.74 (0.26-2.13) | ||
| 2-3 | 76 (25.2) | 69 (90.8) | 7 (9.2) | 1.29 (0.48-3.44) | ||
| 4-5 | 41 (13.6) | 37 (90.2) | 4 (9.8) | 1.21 (0.37-3.98) | ||
| 6+ | 41 (13.6) | 34 (82.9) | 7 (17.1) | 0.63 (0.23-1.74) | ||
| Consistent condom use for receptive sex acts in the last 3 months | 0.16 | |||||
| Yes | 211 (69.6) | 183 (86.7) | 28 (13.3) | Ref | ||
| No | 92 (30.4) | 85 (92.4) | 7 (7.6) | 1.86 (0.78-4.42) | ||
| Consistent condom use for insertive sex acts in the last 3 months | 0.006 | |||||
| Yes | 198 (65.8) | 167 (84.3) | 31 (15.7) | Ref | ||
| No | 103 (34.2) | 98 (95.2) | 5 (4.9) | 3.64 (1.37-9.67) * | 3.94 (1.47-10.59) * | |
| Geosocial Networking app usage in previous 3 months | 0.38 | |||||
| Yes | 148 (48.5) | 133 (89.9) | 15 (10.1) | 1.37 (0.68-2.78) | ||
| No | 157 (51.5) | 136 (86.6) | 21 (13.4) | Ref | ||
| Exchange sex in previous 3 months | 0.51 | |||||
| Yes | 112 (36.7) | 97 (86.6) | 15 (13.4) | 0.79 (0.39-1.60) | ||
| No | 193 (63.3) | 172 (89.1) | 21 (10.9) | Ref | ||
| Healthcare Access | ||||||
| Primary care Provider | 0.02 | |||||
| Yes | 130 (42.6) | 121 (93.1) | 9 (6.9) | 2.45 (1.11-5.41) * | 2.68 (1.20-6.00) * | |
| No | 175 (57.4) | 148 (84.6) | 27 (15.4) | Ref | Ref | |
| Health Insurance | 0.50 | |||||
| Yes | 45 (14.9) | 41 (91.1) | 4 (8.9) | 1.45 (0.49-4.32) | ||
| No | 258 (85.1) | 226 (87.6) | 32 (12.4) | Ref | ||
| Unable to assess medical care due to cost in last year | 0.23 | |||||
| Yes | 130 (42.6) | 118 (90.8) | 12 (9.2) | 1.56 (0.75-3.25) | ||
| No | 175 (57.4) | 151 (86.3) | 24 (13.7) | Ref | ||
| PrEP Indicators | ||||||
| Awareness of PrEP | 0.65 | |||||
| Yes | 135 (44.9) | 121 (89.6) | 14 (10.4) | 1.18 (0.57-2.44) | ||
| No | 166 (55.1) | 146 (88.0) | 20 (12.0) | Ref | ||
| History of oral PrEP Use | 0.27 | |||||
| Yes | 44 (14.5) | 41 (93.2) | 3 (6.8) | 1.99 (0.58-6.8) | ||
| No | 260 (85.5) | 227 (87.3) | 33 (12.7) | Ref | ||
*
p<0.05
**
p<0.01