Table 3:
Factors associated with preference for different PrEP modalities, bivariate and multivariable
| Frequency of PrEP preferences | Multinomial Logistic Regression for PrEP preferencesa |
|||||||
|---|---|---|---|---|---|---|---|---|
| Prefer daily Oral pill (n=62,21.0%) |
Prefer LAI- PrEP (n=131, 44.4%) |
Prefer other type of PrEP (subdermal implant, and rectal microbicides ) (n=70, 23.7%) |
Like them all equally (n=32, 10.9%) |
P-value | Prefer LAI- PrEP |
Prefer other type of PrEP (subdermal implant, and rectal microbicides |
Like them all equally |
|
| Demographics | ||||||||
| Site | 0.06 | |||||||
| Abuja | 12 (21.4) | 19 (33.9) | 17 (30.4) | 8 (14.3) | 0.58 (0.23-1.51) | 1.65 (0.57-4.81) | 3.11 (0.67-14.43) | |
| Delta | 16 (18.4) | 31 (35.6) | 26 (29.9) | 14 (16.1) | 0.71 (0.30-1.69) | 1.90 (0.70-5.11) | 4.08 (0.97-17.2) | |
| Lagos | 18 (22.0) | 42 (51.2) | 15 (18.3) | 7 (8.5) | 0.86 (0.38-1.96) | 0.97 (0.35-2.73) | 1.81 (0.40-8.31) | |
| Plateau | 14 (20.9) | 38 (56.7) | 12 (17.9) | 3 (4.5) | Ref | |||
| Age | 0.12 | |||||||
| 18-24 years | 17 (25.8) | 27 (40.9) | 18 (27.3) | 4 (6.1) | 0.69 (0.33-1.45) | 1.22 (0.52-2.85) | 0.54 (0.15-1.93) | |
| 25-29 years | 14 (16.5) | 32 (37.7) | 26 (30.6) | 13 (15.3) | 0.99 (0.47-2.13) | 2.14 (0.93-4.94) | 2.14 (0.79-5.81) | |
| 30+ years | 30 (21.7) | 69 (50.0) | 26 (18.8) | 13 (9.4) | Ref | |||
| Relationship Status | 0.92 | |||||||
| Single | 40 (21.9) | 80 (43.7) | 42 (22.9) | 21 (11.5) | 0.86 (0.46-1.62) | 0.83 (0.41-1.67) | 1.05 (0.43-2.57) | |
| Not Single | 22 (19.6) | 51 (45.5) | 28 (25.0) | 11 (9.8) | Ref | |||
| Educational Attainment | 0.04 | |||||||
| Senior Secondary School or lower | 38 (27.3) | 64 (46.0) | 25 (18.0) | 12 (8.6) | Ref | |||
| Some University/ University degree/higher | 20 (14.5) | 62 (44.9) | 40 (29.0) | 16 (11.6) | 1.83 (0.97-3.51) | 3.04 (1.46-6.4) * | 2.53 (1.01-6.38) * | |
| Other | 4 (22.2) | 5 (27.8) | 5 (27.8) | 4 (22.2) | 0.74 (0.19-2.94) | 1.90 (0.47-7.77) | 3.17 (0.69-14.6) | |
| Sexual Orientation | 0.25 | |||||||
| Gay/Homosexual | 26 (23.6) | 50 (45.5) | 27 (24.6) | 7 (6.4) | 0.84 (0.45-1.56) | 0.85 (0.42-1.70) | 0.38 (0.14-1.00) | |
| Bisexual | 35 (19.1) | 80 (43.7) | 43 (23.5) | 25 (13.7) | Ref | |||
| Religious Affiliation | 0.006 | |||||||
| Christian | 37 (19.7) | 80 (42.6) | 50 (26.6) | 21 (11.2) | Ref | |||
| Muslim | 23 (26.7) | 46 (53.5) | 11 (12.8) | 6 (7.0) | 0.93 (0.49-1.74) | 0.35 (0.15-0.82) ** | 0.46 (0.16-1.31) | |
| Other | 2 (10.0) | 5 (25.0) | 8 (40.0) | 5 (25.0) | 1.16 (0.21-6.24) | 2.96 (0.59-14.8) | 4.41 (0.79-24.7) | |
| Social Marginalization | 0.21 | |||||||
| Monthly income (in Naira) | ||||||||
| 0-10,000 | 21 (26.6) | 36 (45.6) | 16 (20.3) | 6 (7.6) | Ref | |||
| 10,000-30,000 | 14 (17.5) | 35 (43.8) | 21 (26.3) | 10 (12.5) | 1.46 (0.64-3.31) | 1.97 (0.77-5.03) | 2.50 (0.74-8.45) | |
| 30,000-50,000 | 18 (30.0) | 24 (40.0) | 14 (23.3) | 4 (6.7) | 0.78 (0.35-1.76) | 1.02 (0.39-2.65) | 0.78 (0.19-3.20) | |
| 50,000-100,000 | 5 (14.7) | 15 (44.1) | 11 (32.4) | 3 (8.8) | 2.77 (0.83-9.25) | 1.97 (0.48-8.17) | 7.00 (1.56-31.5) * | |
| 100,000+ | 4 (10.8) | 19 (51.4) | 6 (16.2) | 8 (21.6) | 1.75 (0.56-5.51) | 2.89 (0.84-9.99) | 2.10 (0.39-11.43) | |
| Employment Status | 0.33 | |||||||
| Employed | 51 (21.8) | 104 (44.4) | 51 (21.8) | 28 (12.0) | 0.83 (0.38-1.81) | 0.56 (0.25-1.34) | 1.51 (0.44-5.19) | |
| Unemployed | 11 (18.0) | 27 (44.3) | 19 (31.2) | 4 (6.6) | Ref | |||
| Financial Hardship | 0.004 | |||||||
| High | 43 (25.0) | 81 (47.1) | 37 (21.5) | 11 (6.4) | Ref | |||
| Low | 18 (15.0) | 48 (40.0) | 33 (27.5) | 21 (17.5) | 1.42 (0.74-2.73) | 2.13 (1.03-4.4) * | 4.56 (1.83-11.4) * | |
| Sexual Health | ||||||||
| Any history of STIs | 0.43 | |||||||
| Yes | 22 (18.5) | 52 (43.7) | 28 (23.5) | 17 (14.3) | 1.21 (0.65-2.27) | 1.21 (0.60-2.46) | 2.06 (0.87-4.91) | |
| No | 40 (22.9) | 78 (44.6) | 42 (24.0) | 15 (8.6) | Ref | |||
| STIs in the past year | 0.19 | |||||||
| Yes | 15 (17.7) | 39 (45.9) | 17 (20.0) | 14 (16.5) | 1.36 (0.68-2.71) | 1.02 (0.46-2.28) | 2.44 (0.98-6.05) | |
| No | 47 (22.7) | 90 (43.5) | 52 (25.1) | 18 (8.7) | Ref | |||
| # of Receptive Anal sex acts in last 30 days | 0.99 | |||||||
| 0 | 29 (20.9) | 63 (45.3) | 30 (21.6) | 17 (12.2) | Ref | |||
| 1 | 8 (19.1) | 19 (45.2) | 11 (26.2) | 4 (9.5) | 1.09 (0.43-2.79) | 1.33 (0.47-3.78) | 0.85 (0.22-3.26) | |
| 2-3 | 13 (20.3) | 29 (45.3) | 17 (26.6) | 5 (7.8) | 1.03 (0.47-2.26) | 1.26 (0.52-3.06) | 0.66 (0.20-2.16) | |
| 4+ | 12 (24.5) | 20 (40.8) | 12 (24.5) | 5 (10.2) | 0.77 (0.33-1.78) | 0.97 (0.37-2.50) | 0.71 (0.21-2.37) | |
| # of Insertive Anal sex acts in last 30 days | 0.68 | |||||||
| 0 | 22 (21.6) | 45 (44.1) | 22 (21.6) | 13 (12.8) | Ref | |||
| 1 | 6 (15.8) | 16 (42.1) | 12 (31.6) | 4 (10.5) | 1.30 (0.45-3.79) | 2.00 (0.64-6.28) | 1.13 (0.27-4.76) | |
| 2-3 | 12 (16.7) | 36 (50.0) | 19 (26.4) | 5 (6.9) | 1.47 (0.64-3.36) | 1.58 (0.62-4.03) | 0.71 (0.20-2.46) | |
| 4+ | 22 (27.5) | 32 (40.0) | 17 (21.3) | 9 (11.3) | 0.71 (0.34-1.50) | 0.77 (0.33-1.84) | 0.69 (0.25-1.95) | |
| Consistent condom use for receptive sex acts in the last 3 months | 0.67 | |||||||
| Yes | 42 (20.9) | 86 (42.8) | 49 (24.4) | 24 (11.9) | 0.91 (0.48-1.73) | 1.23 (0.58-2.60) | 1.43 (0.55-3.74) | |
| No | 20 (21.7) | 45 (48.9) | 19 (20.7) | 8 (8.7) | Ref | |||
| Consistent condom use for insertive sex acts in the last 3 months | 0.62 | |||||||
| Yes | 39 (20.7) | 79 (42.0) | 49 (26.1) | 21 (11.2) | 0.95 (0.51-1.78) | 1.45 (0.70-3.00) | 1.13 (0.46-2.75) | |
| No | 23 (22.3) | 49 (47.6) | 20 (19.4) | 11 (10.7) | Ref | |||
| Geosocial Networking app usage in previous 3 months | 0.40 | |||||||
| Yes | 31 (21.1) | 65 (44.2) | 31 (21.1) | 20 (13.6) | 0.99 (0.54-1.80) | 0.80 (0.40-1.58) | 1.67 (0.70-4.00) | |
| No | 31 (21.0) | 66 (44.6) | 39 (26.4) | 12 (8.1) | Ref | |||
| Exchange sex in previous 3 months | 0.71 | |||||||
| Yes | 25 (22.9) | 49 (44.9) | 26 (23.9) | 9 (8.3) | 0.88 (0.48-1.64) | 0.88 (0.43-1.76) | 0.58 (0.23-1.46) | |
| No | 37 (19.9) | 82 (44.1) | 44 (23.7) | 23 (12.4) | Ref | |||
| Healthcare Access | ||||||||
| Primary care Provider | 0.04 | |||||||
| Yes | 23 (18.1) | 65 (51.2) | 22 (17.3) | 17 (13.4) | 1.67 (0.90-3.10) | 0.78 (0.38-1.60) | 1.92 (0.81-4.56) | |
| No | 39 (23.2) | 66 (39.3) | 48 (28.6) | 15 (8.9) | Ref | |||
| Health Insurance | 0.71 | |||||||
| Yes | 9 (20.0) | 23 (51.1) | 8 (17.8) | 5 (11.1) | 1.24 (0.54-2.87) | 0.75 (0.27-2.07) | 1.07 (0.33-3.51) | |
| No | 52 (21.0) | 107 (43.2) | 62 (25.0) | 27 (10.9) | Ref | |||
| Unable to assess medical care due to cost in last year | 0.57 | |||||||
| Yes | 22 (17.3) | 58 (45.7) | 33 (26.0) | 14 (11.0) | 1.44 (0.77-2.70) | 1.62 (0.81-3.27) | 1.41 (0.59-3.38) | |
| No | 40 (23.8) | 73 (43.5) | 37 (22.0) | 18 (10.7) | Ref | |||
| PrEP Indicators | ||||||||
| Awareness of PrEP | 0.53 | |||||||
| Yes | 24 (17.9) | 63 (47.0) | 34 (25.4) | 13 (9.7) | 1.45 (0.78-2.69) | 1.54 (0.77-3.10) | 1.06 (0.44-2.52) | |
| No | 37 (23.6) | 67 (42.7) | 34 (21.7) | 19 (12.1) | Ref | |||
| History of oral PrEP Use | 0.59 | |||||||
| Yes | 12 (27.3) | 20 (45.5) | 9 (20.5) | 3 (6.8) | 0.75 (0.34-1.65) | 0.63 (0.24-1.60) | 0.43 (0.11-1.66) | |
| No | 50 (20.0) | 111 (44.4) | 60 (24.0) | 29 (11.6) | Ref | |||
a
Multinomial regression, dependent variable = preferring LAI-PrEP, other type of PrEP (subdermal implant, and rectal microbicides), or liking them all equally, compared to preferring a daily oral pill
*
p<0.05
**
p<0.01