| Literature DB >> 35981775 |
Omar Martinez1, Ethan Levine2, Miguel Munoz-Laboy3, Alex Carballo-Diéguez4, José Arturo Bauermeister5, Alexi Chacon6, Jeffrey Jacobson7, Robert Bettiker7, Madeline Sutton8, Abby E Rudolph9, Elwin Wu10, Scott D Rhodes11, Amanda E Tanner12, Lilli Mann11, Omar Valentin13, Ariel Ilarraza14, Mariana Pardes14, Robin Davison14, Maria Isabel Fernandez15.
Abstract
OBJECTIVES: HIV scholars and practitioners have worked to expand strategies for prevention among marginalised populations who are disproportionately impacted by the epidemic, such as racial minority men who have sex with men (MSM). Given this urgency, the objective of this study was to assess interest in biomedical prevention strategies.Entities:
Keywords: HIV & AIDS; public health; sexual medicine
Mesh:
Year: 2022 PMID: 35981775 PMCID: PMC9394203 DOI: 10.1136/bmjopen-2022-063474
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 3.006
Sample characteristics (N=381)
| M (SD) or n (%) | |
| Age (n=376), M (SD) | 30.84 (10.89) |
| Identify as Latino/Hispanic/Afro-Latino (n=379) | 186 (49) |
| Race (mutually exclusive, n=375) | |
| 98 (26) | |
| 9 (2) | |
| 6 (2) | |
| 106 (28) | |
| 156 (42) | |
| Biomedical prevention tools | |
| 85 (22) | |
| 300 (79) | |
| 229 (60) | |
| 242 (64) | |
| 300 (79) | |
| Sexual behaviour, general | |
| 309 (81) | |
| 4.86 (8.10) | |
| Sexual risk behaviour, primary relationship | |
| 196 (90) | |
| 138 (71) | |
| Sexual risk behaviour, outside primary relationship | |
| 126 (58) | |
| 117 (58) | |
| Child sexual abuse, before age 14 | |
| 166 (44) | |
| 69 (18) | |
| 132 (35) | |
| 114 (30) | |
| 69 (18) | |
| 69 (18) | |
| 109 (29) | |
| 206 (54) | |
| Protective factors | |
| 325 (86) | |
| 314 (82) | |
| 124 (33) | |
| 187 (49) |
*Operationalised as indicating ‘definite’ or ‘probable’ interest in using this prevention method.
CSA, Childhood Sexual Abuse; PrEP, pre-exposure prophylaxis.
Interest in using biomedical prevention tools (N=381)
| Definitely not interested | Probably not interested | Probably interested | Definitely interested | |
| Rectal douche | 33 (9) | 48 (13) | 117 (31) | 183 (48) |
| Dissolvable implant | 69 (18) | 83 (22) | 111 (29) | 118 (31) |
| Removable implant | 55 (14) | 84 (22) | 111 (29) | 131 (34) |
| Injection | 30 (8) | 51 (13) | 110 (29) | 190 (50) |
Bivariate analyses (N=381)
| Rectal douche | Dissolvable implant | Removable implant | Injection | |||||
| Not interested | Interested | Not interested | Interested | Not interested | Interested | Not interested | Interested | |
| M (SD) or n (%) | M (SD) or n (%) | M (SD) or n (%) | M (SD) or n (%) | M (SD) or n (%) | M (SD) or n (%) | M (SD) or n (%) | M (SD) or n (%) | |
| Age (n=376), M (SD) | 30.69 (9.37) | 30.88 (11.28) | 31.00 (11.21) | 30.73 (10.69) | 30.96 (10.92) | 30.77 (10.89) | 30.30 (10.90) | 30.99 (10.90) |
| Identify as Latino/Hispanic/Afro-Latino (n=379) | 34 (18) | 152 (82) | 68 (36) | 118 (64) | 59 (31) | 127 (69) | 34 (18) | 152 (82) |
| Race (mutually exclusive, n=375) | ||||||||
| 23 (23) | 75 (77) | 42 (42) | 56 (58) | 37 (37) | 61 (63) | 17 (17) | 81 (83) | |
| 3 (33) | 6 (67) | 4 (44) | 5 (56) | 6 (66) | 3 (34) | 4 (44) | 5 (56) | |
| 0 (0) | 6 (100) | 1 (16) | 5 (84) | 1 (16) | 5 (84) | 0 (0) | 6 (100) | |
| 24 (22) | 82 (78) | 46 (43) | 60 (57) | 42 (39) | 64 (61) | 24 (22) | 82 (78) | |
| 30 (19) | 126 (81) | 57 (36) | 99 (64) | 51 (32) | 105 (68) | 34 (21) | 122 (79) | |
| 24 (28) | 61 (72) | 33 (38) | 52 (62) | 29 (34) | 56 (66) | 12 (14) | 73 (86) | |
| Sexual behaviour, general | ||||||||
| 68 (22) | 241 (78) | 121 (39) | 188 (61) | 113 (36) | 196 (64) | 60 (19) | 249 (81) | |
| 4.79 (6.23) | 4.88 (8.56) | 4.25 (4.99) | 5.24 (9.55) | 4.17 (4.82) | 5.24 (9.44) | 4.05 (5.24) | 5.05 (8.63) | |
| Sexual risk behaviour, primary relationship | ||||||||
| 36 (18) | 160 (82) | 78 (39) | 118 (61) | 73 (37) | 123 (63) | 38 (19) | 158 (81)* | |
| 26 (18) | 112 (82) | 54 (39) | 84 (61) | 55 (39) | 83 (61) | 28 (20) | 110 (80) | |
| Sexual risk behaviour, outside primary relationship | ||||||||
| 20 (15) | 106 (85) | 54 (42) | 72 (58) | 47 (37) | 79 (63) | 28 (22) | 98 (78) | |
| 23 (19) | 94 (81) | 53 (45) | 64 (55) | 42 (35) | 75 (65) | 23 (19) | 94 (81) | |
| Child sexual abuse, before age 14 | ||||||||
| 36 (21) | 130 (79) | 55 (33) | 111 (67)* | 50 (30) | 116 (70)* | 25 (15) | 141 (85)** | |
| 16 (23) | 53 (77) | 20 (28) | 49 (71)* | 18 (26) | 51 (74) | 12 (17) | 57 (83) | |
| 25 (18) | 107 (82) | 41 (31) | 91 (69)* | 35 (26) | 97 (74)** | 15 (11) | 117 (89)** | |
| 22 (19) | 92 (81) | 36 (31) | 78 (69)* | 35 (30) | 79 (70) | 17 (14) | 97 (86)* | |
| 14 (20) | 55 (80) | 20 (28) | 49 (72)* | 20 (28) | 49 (72) | 12 (17) | 57 (83) | |
| 13 (18) | 56 (82) | 22 (31) | 47 (69) | 21 (30) | 48 (70) | 11 (15) | 58 (85) | |
| 22 (20) | 87 (80) | 32 (29) | 77 (71)** | 31 (28) | 78 (72)* | 15 (13) | 94 (87) | |
| 44 (21) | 162 (79) | 71 (34) | 135 (66) | 62 (30) | 144 (70)** | 35 (16) | 171 (84) | |
| Protective factors | ||||||||
| 74 (22) | 251 (78) | 134 (41) | 191 (59) | 120 (36) | 205 (64) | 70 (21) | 255 (79) | |
| 70 (22) | 244 (77) | 128 (40) | 186 (60) | 118 (37) | 196 (63) | 67 (21) | 247 (79) | |
| 38 (30) | 86 (70)** | 44 (35) | 80 (65) | 36 (29) | 88 (71)* | 24 (19) | 100 (81) | |
| 47 (25) | 140 (75) | 76 (40) | 111 (60) | 71 (37) | 116 (63) | 37 (19) | 150 (81) | |
*P<0.05, **P<0.01, in χ2 analysis.
PrEP, pre-exposure prophylaxis.