| Literature DB >> 32479519 |
Johann Kolstee1, Martin Holt2, Jeff Jin1, Mohamed A Hammoud1, Louisa Degenhardt3, Lisa Maher1,4, Toby Lea2,5, Garrett Prestage1.
Abstract
PURPOSE: To understand the characteristics of a minority of Australian gay and bisexual men (GBM) who, despite an increase in the number and availability of HIV risk reduction strategies, do not consistently use a strategy to protect themselves from HIV.Entities:
Year: 2020 PMID: 32479519 PMCID: PMC7263606 DOI: 10.1371/journal.pone.0233922
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Participant characteristics of GBM in the FLUX cohort 2014–2017.
| Variable | Total (n = 2920) | Frequent Risk Reduction (FRR) (n = 2252) | No Risk Reduction (NRR) (n = 253) | PrEP users (n = 415) |
|---|---|---|---|---|
| 35.4 (13.0) | 34.7 (12.9) | 32.4 (13.3) | 41.2 (11.8) | |
| 970 (43.2%) | ||||
| Less than university | 1,264 (43.3%) | 714 (31.8%) | 151 (59.7%) | 143 (34.5%) |
| Undergrad completed | 915 (31.3%) | 562 (25.0%) | 62 (24.5%) | 139 (33.5%) |
| Postgrad completed | 735 (25.17%) | 40 (15.8%) | 133 (32.0%) | |
| Did not answer | 6 (0.2%) | |||
| 1,637 (73.0%) | 179 (71.6%) | |||
| Anglo-Australian | 2,108 (72.2%) | 604 (27.0%) | 71 (28.4%) | 292 (70.4%) |
| Other backgrounds | 798 (27.3%) | 123 (29.6%) | ||
| Did not answer | 14 (0.5%) | |||
| Gay/Homosexual | 2,609 (89.4%) | 1,994 (88.5%) | 224 (88.5%) | 391 (94.2%) |
| Bisexual | 250 (8.6%) | 210 (9.3%) | 24 (9.5%) | 16 (3.9%) |
| Heterosexual | 4 (0.1%) | 2 (0.1%) | 2 (0.8%) | 0 (0%) |
| Other | 57 (2.0%) | 46 (2.0%) | 3 (1.2%) | 8 (1.9%) |
| 30.0 (6.3) | 29.1 (6.2) | 32.4 (6.3) | 32.7(5.6) | |
| 3.6 (1.6) | 3.5 (1.6) | 3.4 (1.6) | 4.5 (1.5) | |
| Amyl nitrite | 616 (21.1%) | 368 (16.3%) | 64 (25.3%) | 184 (44.3%) |
| Cocaine | 69 (2.4%) | 48 (2.1%) | 1 (0.4%) | 20 (4.8%) |
| EDM | 395 (13.5%) | 231 (10.3%) | 30 (11.9%) | 134 (32.3%) |
| GHB | 87 (3.0%) | 39 (1.7%) | 8 (3.2%) | 40 (9.7%) |
| Crystal Methamphetamine | 171 (5.9%) | 107 (4.8%) | 17 (6.7%) | 47 (11.3%) |
| HIV-positive | 196 (6.7%) | 190 (8.4%) | 6 (2.4%) | 0 (0%) |
| HIV-negative | 2295 (78.6%) | 1727 (76.7%) | 161 (63.6%) | 407 (98.1%) |
| Do not know/unsure | 429 (14.7%) | 335 (14.9%) | 86 (34.0%) | 8 (1.9%) |
| Never tested | 391 (13.4%) | 312 (13.9%) | 77 (30.4%) | 2 (0.5%) |
| Yes | 2,517 (86.2%) | 1929 (85.7%) | 175 (69.2%) | 413 (99.5%) |
| Did not answer | 12 (0.4%) | |||
| 5 (2.0%) | ||||
| Very much a top | 137 (4.7%) | 11 (0.5%) | 32 (12.7%) | 21 (5.1%) |
| Top | 530 (18.2%) | 426 (18.9%) | 114 (45.4%) | 72 (17.3%) |
| Versatile | 1,366 (46.8%) | 1,056 (46.9%) | 75 (29.9%) | 196 (47.2%) |
| Bottom | 703 (24.1%) | 532 (23.6%) | 25 (10.0%) | 96 (23.1%) |
| Very much a bottom | 175 (6.0%) | 120 (5.3%) | 30 (7.2%) | |
| Did not answer | 9 (0.3%) | |||
| (Last 6 months) | 590 (20.8%) | 529 (24.3%) | ||
| Condoms only | 345 (12.1%) | 29 (1.3%) | 22 (8.7%) | 39 (9.4%) |
| PrEP | 167 (5.9%) | 163 (7.5%) | 0 (0%) | 316 (76.1%) |
| Insertive condomless—no PrEP | 130 (4.6%) | 107 (4.9%) | 4 (1.6%) | 0 (0%) |
| Receptive condomless withdrawal—no PrEP | 232 (8.2%) | 156 (7.2%) | 23 (9.1%) | 0 (0%) |
| Receptive condomless ejaculation–no PrEP | 76 (30.0%) | 0 (0%) | ||
| (Last 6 months) | 23 (0.8%) | 23 (1.1%) | ||
| Condoms only | 42 (1.5%) | 42 (1.9%) | 0 (0%) | 0 (0%) |
| Undetectable and treated | 65 (2.3%) | 65 (3.0%) | 0 (0%) | 0 (0%) |
| Receptive condomless only–no ARV | 3 (0.1%) | 2 (0.1%) | 0 (0%) | 0 (0%) |
| Insertive comdomless withdrawal–no ARV | 8 (0.3%) | 8 (0.4%) | 1 (0.4%) | 0 (0%) |
| Insertive condomless ejaculation–no ARV | 5 (2.0%) | 0 (0%) | ||
| (Last 6 months) | 81 (2.9%) | |||
| Condoms only | 23 (0.8%) | 72 (3.3%) | 8 (3.2%) | 1 (0.2%) |
| Insertive condomless—no PrEP | 23 (0.8%) | 14 (0.6%) | 7 (2.8%) | 2 (0.5%) |
| Receptive condomless withdrawal—no PrEP | 55 (1.9%) | 19 (0.9%) | 4 (1.6%) | 0 (0%) |
| Receptive condomless ejaculation–no PrEP | 25 (1.1%) | 26 (10.3%) | 4 (1.0%) | |
| (Last 6 months) | 266 (9.4%) | 245 (11.3%) | ||
| Condoms only | 264 (9.3%) | 25 (1.1%) | 7 (2.8%) | 14 (3.4%) |
| PrEP | 123 (4.3%) | 119 (5.5%) | 0 (0%) | 239 57.6% |
| Insertive condomless—no PrEP | 108 (3.8%) | 86 (4.0%) | 4 (1.6%) | 0 (0%) |
| Receptive condomless withdrawal—no PrEP | 206 (7.3%) | 126 (5.8%) | 22 (8.7%) | 0 (0%) |
| Receptive condomless ejaculation–no PrEP | 80 (31.6%) | 0 (0%) | ||
| (Last 6 months) | 8 (0.3%) | |||
| Condoms only | 26 (0.9%) | 8 (0.4%) | 0 (0%) | 0 (0%) |
| Undetectable and treated | 41 (1.4%) | 26 (1.2%) | 0 (0%) | 0 (0%) |
| Receptive condomless only–no ARV | 1 (0.0%) | 41 (1.9%) | 0 (0%) | 0 (0%) |
| Insertive comdomless withdrawal–no ARV | 3 (0.1%) | 0 (0%) | 1 (0.4%) | 0 (0%) |
| Insertive condomless ejaculation–no ARV | 1 (0.0%) | 2 (0.8%) | 0 (0%) | |
| (Last 6 months) | 35 (1.6%) | |||
| Condoms only | 39 (1.4%) | 9 (0.4%) | 3 (1.2%) | 1 (0.2%) |
| Insertive condomless—no PrEP | 20 (0.7%) | 11 (0.5%) | 10 (4.0%) | 1 (0.2%) |
| Receptive condomless withdrawal—no PrEP | 20 (0.7%) | 11 (0.5%) | 8 (3.2%) | 1 (0.2%) |
| Receptive condomless ejaculation–no PrEP | 30 (1.1%) | 15 (5.9%) | 4 (1.0%) |
Fig 1Definition of No Risk Reduction (NRR) men.
The category of men who never or rarely used HIV risk reduction strategies (NRR men).
Logistic regression analysis of No Risk Reduction (NRR) GBM versus PrEP users.
| NRR (n = 253) | PrEP (n = 415) | Bivariate OR (95% CI) | Multivariate AOR (95% CI) | |
|---|---|---|---|---|
| 32.4 (13.3) | 41.2 (11.8) | 0.94 (0.93 to 0.96) | 0.96 (0.95 to 0.98) | |
| Less than undergraduate | 151 (59.7%) | 143 (34.5%) | 1.00 | 1.00 |
| Undergraduate | 62 (24.5%) | 139 (33.5%) | 0.42 (0.29 to 0.62) | 0.51 (0.34 to 0.78) |
| Postgraduate | 40 (15.8%) | 133 (32.0%) | 0.28 (0.19 to 0.43) | 0.47 (0.29 to 0.76) |
| 71 (28.4%) | ||||
| Other Background | 179 (71.6%) | 123 (29.6%) | 1.00 | |
| Anglo-Australian | 292 (70.4%) | 1.06 (0.75 to 1.50) | ||
| Gay | 224 (88.5%) | 391 (94.2%) | 1.00 | 1.00 |
| Bisexual / Other | 29 (11.5%) | 24 (5.8%) | 2.11 (1.20 to 3.71) | 1.49 (0.72 to 3.12) |
| 32.4 (6.3) | 32.7 (5.6) | 0.99 (0.96 to 1.02) | ||
| 3.4 (1.6) | 4.4 (1.5) | 0.66 (0.59 to 0.73) | 0.75 (0.66 to 0.84) | |
| Never used & over 6M | 147 (58.1%) | 142 (34.2%) | 1.00 | 1.00 |
| Past 6 Months | 42 (16.6%) | 89 (21.4%) | 0.46 (0.30 to 0.70) | 0.60 (0.36 to 0.99) |
| Weekly/Monthly | 64 (25.3%) | 184 (44.3%) | 0.34 (0.23 to 0.48) | 0.63 (0.41 to 0.96) |
| Never used & over 6M | 224 (88.5%) | 299 (72.0%) | 1.00 | 1.00 |
| Past 6 Months | 28 (11.1%) | 96 (23.1%) | 0.39 (0.25 to 0.61) | 0.52 (0.31 to 0.87) |
| Weekly/Monthly | 1 (0.4%) | 20 (4.8%) | 0.07 (0.01 to 0.50) | 0.11 (0.01 to 0.85) |
| Never used & over 6M | 195 (77.1%) | 188 (45.3%) | 1.00 | 1.00 |
| Past 6 Months | 28 (11.1%) | 93 (22.4%) | 0.29 (0.18 to 0.46) | 0.55 (0.33 to 0.92) |
| Weekly/Monthly | 30 (11.9%) | 134 (32.3%) | 0.22 (0.14 to 0.34) | 0.53 (0.31 to 0.89) |
| Never used & over 6M | 233 (92.1%) | 322 (77.6%) | 1.00 | 1.00 |
| Past 6 Months | 12 (4.7%) | 53 (12.8%) | 0.31 (0.16 to 0.60) | 0.62 (0.25 to 1.50) |
| Weekly/Monthly | 8 (3.2%) | 40 (9.6%) | 0.28 (0.13 to 0.60) | 0.82 (0.29 to 2.33) |
| Never used & over 6M | 211 (83.4%) | 318 (76.6%) | 1.00 | |
| Past 6 Months | 25 (9.9%) | 50 (12.0%) | 0.75 (0.45 to 1.26) | |
| Weekly/Monthly | 17 (6.7%) | 47 (11.3%) | 0.55 (0.30 to 0.97) | |
| 5 (2.0%) | 21 (5.1%) | 1.00 | 1.00 | |
| Very much a top | 32 (12.7%) | 72 (17.3%) | 1.87 (0.65 to 5.39) | 2.71 (0.63 to 11.64) |
| Top | 114 (45.4%) | 196 (47.2%) | 2.44 (0.90 to 6.66) | 3.30 (0.82 to 13.27) |
| Versatile | 75 (29.9%) | 96 (23.1%) | 3.28 (1.18 to 9.12) | 4.35 (1.05 to 18.01) |
| Bottom | 25 (10.0%) | 30 (7.2%) | 3.50 (1.15 to 10.6) | 2.59 (0.57 to 11.77) |
| Very much a bottom |
*P<0.05.
**P<0.001.
***P<0.0001.
Logistic regression analysis of No Risk Reduction (NRR) GBM versus Frequent Risk Reduction (FRR) GBM.
| NRR (n = 253) | FRR (n = 2,252) | Bivariate OR (95% CI) | Multivariate AOR (95% CI) | |
|---|---|---|---|---|
| 32.4 (13.3) | 34.7 (12.9) | 0.99 (0.98 to 1.00) | 0.99 (0.98 to 1.00) | |
| 970 (43.2%) | ||||
| Less than undergrad | 151 (59.7%) | 714 (31.8%) | 1.00 | 1.00 |
| Undergraduate | 62 (24.5%) | 562 (25.0%) | 0.56 (0.41 to 0.76) | 0.59 (0.43 to 0.83) |
| Postgraduate | 40 (15.8%) | 0.46 (0.32 to 0.66) | 0.46 (0.31 to 0.67) | |
| 71 (28.4%) | 604 (27.0%) | |||
| Other background | 179 (71.6%) | 1,637 (73.0%) | 1.00 | |
| Anglo-Australian | 0.93 (0.70 to 1.24) | |||
| Gay | 224 (88.5%) | 1,994 (88.5%) | 1.00 | |
| Bisexual / Other | 29 (11.5%) | 258 (11.5%) | 1.00 (0.67 to 1.50) | |
| 32.4 (6.3) | 29.1 (6.2) | 1.09 (1.07 to 1.12) | 1.09 (1.06 to 1.12) | |
| 3.4 (1.6) | 3.5 (1.6) | 0.97 (0.89 to 1.05) | ||
| Never used & over 6M | 147 (58.1%) | 1,517 (67.4%) | 1.00 | 1.00 |
| Past 6 Months | 42 (16.6%) | 367 (16.3%) | 1.18 (0.82 to 1.70) | 0.99 (0.65 to 1.51) |
| Weekly/Monthly | 64 (25.3%) | 368 (16.3%) | 1.79 (1.31 to 2.46) | 1.30 (0.89 to 1.91) |
| Never used & over 6M | 224 (88.5%) | 1,957 (86.9%) | 1.00 | |
| Past 6 Months | 28 (11.1%) | 247 (11.0%) | 0.99 (0.65 to 1.50) | |
| Weekly/Monthly | 1 (0.4%) | 48 (2.1%) | 0.18 (0.03 to 1.33) | |
| Never used & over 6M | 195 (77.1%) | 1,730 (76.8%) | 1.00 | |
| Past 6 Months | 28 (11.1%) | 291 (12.9%) | 0.85 (0.56 to 1.29) | |
| Weekly/Monthly | 30 (11.9%) | 231 (10.3%) | 1.15 (0.77 to 1.73) | |
| Never used & over 6M | 233 (92.1%) | 2,099 (93.2%) | 1.00 | |
| Past 6 Months | 12 (4.7%) | 114 (5.1%) | 0.95 (0.52 to 1.75) | |
| Weekly/Monthly | 8 (3.2%) | 39 (1.7%) | 1.85 (0.85 to 4.00) | |
| Never used & over 6M | 211 (83.4%) | 2,010 (89.3%) | 1.00 | 1.00 |
| Past 6 Months | 25 (9.9%) | 135 (6.0%) | 1.76 (1.13 to 2.77) | 1.31 (0.64 to 2.70) |
| Weekly/Monthly | 17 (6.7%) | 107 (4.8%) | 1.51 (0.89 to 2.57) | 0.72 (0.37 to 1.38) |
| 5 (2.0%) | 11 (0.5%) | |||
| 32 (12.7%) | 426 (19.0%) | 1.00 | 1.00 | |
| Very much a top | 114 (45.4%) | 1,056 (47.0%) | 1.67 (0.64 to 4.38) | 2.06 (0.70 to 6.05) |
| Top | 75 (29.9%) | 532 (24.4%) | 2.40 (0.96 to 5.99) | 2.94 (1.05 to 8.23) |
| Versatile | 25 (10.0%) | 120 (5.3%) | 3.13 (1.24 to 7.92) | 3.40 (1.20 to 9.63) |
| Bottom | 4.63 (1.71 to 12.5) | 3.73 (1.21 to 11.6) | ||
| Very much a bottom |
*P<0.05.
**P<0.001.
***P<0.0001.