| Literature DB >> 35055534 |
Elizabeth Kaplun1,2, Richard J Martino1, Kristen D Krause1,3, Michael Briganti1,4, Paul A D'Avanzo1, Perry N Halkitis1,2,3.
Abstract
Methamphetamine use is associated with increased risk of HIV infection among young sexual minority men (SMM). Post-exposure prophylaxis (PEP) is an effective strategy for individuals who are exposed to HIV, but there is limited research about PEP use among young SMM and its relationship with methamphetamine use. This study analyzes the association between ever PEP use and recent methamphetamine use among young SMM in New York City, using cross-sectional data from the P18 Cohort Study (n = 429). Multivariable logistic regression models were used to assess the association between methamphetamine use and ever PEP use. Compared with those who had not used methamphetamine in the last 6 months, young SMM who did use methamphetamine were significantly more likely to have ever used PEP (AOR = 6.07, 95% CI: 2.10-16.86). Young SMM who had ever used PrEP had 16 times higher odds of ever using PEP (AOR = 16, 95% CI: 7.41-35.95). Those who completed bachelor's degrees were 61% less likely to have ever used PEP (AOR = 0.39, 95% CI: 0.17-0.88). These data suggest that methamphetamine use could increase the risk of HIV infection, highlighting the critical need to target interventions for young SMM who use methamphetamine and are more likely to engage in unprotected intercourse.Entities:
Keywords: gender minority; racial and ethnic minority; sexual health; sexual minority; substance use; syndemic theory
Mesh:
Substances:
Year: 2022 PMID: 35055534 PMCID: PMC8775683 DOI: 10.3390/ijerph19020712
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Characteristics of P18 Cohort Study participants from baseline Wave II sample (n = 665).
| Variable |
| % |
|---|---|---|
|
| 665 | 100 |
| Hispanic/Latino | 212 | 31.88% |
| Black Non-Hispanic | 170 | 25.56% |
| Asian Non-Hispanic | 49 | 7.37% |
| Mixed Non-Hispanic | 43 | 6.47% |
| Native American/Other Non-Hispanic | 23 | 3.46% |
| White Non-Hispanic | 168 | 25.26% |
|
| - | - |
| No | 104 | 15.64% |
| Yes | 560 | 84.21% |
| Missing | 1 | 0.15% |
|
| - | - |
| Identifies as “not exclusively homosexual” | 118 | 17.74% |
| Identifies as “exclusively homosexual” | 547 | 82.26% |
|
|
|
|
| Lower (<5 k) | 219 | 32.93% |
| Middle (5 k–19,999) | 200 | 30.08% |
| Upper (>20 K) | 214 | 32.18% |
| Missing | 32 | 4.81% |
|
| - | - |
| No | 443 | 66.62% |
| Yes | 222 | 33.38% |
|
| - | - |
| High school diploma or less | 318 | 47.82% |
| Associate degree | 78 | 11.73% |
| Bachelor’s degree | 260 | 39.10% |
| Graduate degree | 8 | 1.20% |
| Missing | 1 | 0.15% |
|
| - | - |
| HIV− | 629 | 94.59% |
| HIV+ | 30 | 4.51% |
| Test not given | 6 | 0.90% |
|
| - | - |
| No | 617 | 92.78% |
| Yes | 43 | 6.47% |
| Missing | 5 | 0.75% |
|
| - | - |
| No | 459 | 69.02% |
| Yes | 59 | 8.87% |
| Missing | 147 | 22.11% |
|
| - | - |
| No | 439 | 66.02% |
| Yes | 57 | 8.57% |
| Missing | 169 | 25.41% |
PEP ever use by participant characteristics, PrEP ever use, and recent methamphetamine use (n = 429) a.
| PEP Ever Use | |||||
|---|---|---|---|---|---|
| No ( | Yes ( | ||||
|
| % |
| % | ||
|
| 0.13 b | ||||
| Hispanic/Latino | 125 | 90.58% | 13 | 9.42% | |
| Black NH | 76 | 80.85% | 18 | 19.15% | |
| Asian NH | 21 | 80.77% | 5 | 19.23% | |
| Mixed NH | 24 | 88.89% | 3 | 11.11% | |
| Native American/Other NH | 12 | 92.31% | 1 | 7.69% | |
| White NH | 120 | 91.60% | 11 | 8.40% | |
|
| 0.54 | ||||
| No | 53 | 91.38% | 5 | 8.62% | |
| Yes | 325 | 87.60% | 46 | 12.40% | |
|
| 0.83 | ||||
| Identifies as “not exclusively homosexual” | 51 | 86.44% | 8 | 13.56% | |
| Identifies as “exclusively homosexual” | 327 | 88.38% | 43 | 11.62% | |
|
| 0.18 | ||||
| Lower (<5 k) | 130 | 92.20% | 11 | 7.80% | |
| Middle (5 k–19,999) | 105 | 85.37% | 18 | 14.63% | |
| Upper (>20 K) | 143 | 86.67% | 22 | 13.33% | |
|
| 0.36 | ||||
| No | 251 | 89.32% | 30 | 10.68% | |
| Yes | 127 | 85.81% | 21 | 14.19% | |
|
| 0.027 b | ||||
| High school diploma or less | 162 | 85.26% | 28 | 14.74% | |
| Associate degree | 38 | 84.44% | 7 | 15.56% | |
| Bachelor’s degree | 174 | 92.55% | 14 | 7.45% | |
| Graduate degree | 4 | 66.67% | 2 | 33.33% | |
|
| 0.40 b | ||||
| HIV− | 375 | 88.24% | 50 | 11.76% | |
| HIV+ | 3 | 75.00% | 1 | 25.00% | |
|
| <0.0001 | ||||
| No | 352 | 92.63% | 28 | 7.37% | |
| Yes | 26 | 53.06% | 23 | 46.94% | |
|
| 0.0015 b | ||||
| No | 361 | 89.58% | 42 | 10.42% | |
| Yes | 17 | 65.38% | 9 | 35.62% | |
a There were 236 participants with missing values removed from the analytic sample. b Fisher’s exact test was used for analysis instead of χ2.
Binary logistic regression examining associations between ever PEP use and individual characteristics, PrEP use, and methamphetamine use.
| Variable | OR (95% CI) | AOR (95% CI) | ||
|---|---|---|---|---|
|
| ||||
| White (Reference) | 1 | 1 | ||
| Hispanic/Latino | 1.13 (0.49–2.68) | 0.77 | 1.01 (0.38–2.69) | 0.99 |
| Black NH | 2.58 (1.17–5.93) | 0.02 | 2.47 (0.94–6.74) | 0.07 |
| Asian NH | 2.6 (0.76–7.96) | 0.11 | 3.16 (0.75–12.04) | 0.10 |
| Mixed NH | 1.43 (0.31–4.99) | 0.61 | 1.27 (0.23–5.44) | 0.76 |
| Native American/Other NH | 0.91 (0.05–5.33) | 0.93 | 0.45 (0.02–3.44) | 0.51 |
|
| ||||
| High school diploma or less (Reference) | 1 | 1 | ||
| Associate degree | 1.06 (0.40–2.49) | 0.9 | 1.34 (0.44–3.63) | 0.58 |
| Bachelor’s degree | 0.46 (0.23–0.90) | 0.03 | 0.39 (0.17–0.88) | 0.03 |
| Graduate degree | 2.88 (0.39–15.47) | 0.24 | 1.93 (0.20–14.35) | 0.53 |
|
| ||||
| Yes | 4.54 (1.83–10.62) | 0.0007 | 6.07 (2.10–16.86) | 0.0006 |
|
| ||||
| Yes | 11.09 (5.63–22.06) | <0.0001 | 16.0 (7.41–35.95) | <0.001 |
CI = Confidence Interval. OR = Odds Ratios. AOR = Adjusted Odds Ratios.
Unprotected Sexual Behavior by PEP Use.
| PEP Use Ever-No | PEP Use Ever-Yes | ||||
|---|---|---|---|---|---|
| Mean | Standard Deviation | Mean | Standard Deviation | ||
| Total unprotected oral given | 3.43 | 4.39 | 4.14 | 4.45 | 0.26 |
| Total unprotected oral received | 3.51 | 4.27 | 4.35 | 4.28 | 0.16 |
| Total unprotected anal insertive | 0.87 | 2.65 | 1.37 | 2.75 | 0.20 |
| Total unprotected anal receptive | 1.05 | 2.49 | 1.23 | 2.54 | 0.62 |
| Total unprotected vaginal insertive | 0.01 | 0.16 | 0.00 | 0.00 | 0.13 |
| Total unprotected mutual masturbation | 2.31 | 3.31 | 3.46 | 5.82 | 0.15 |
| Total unprotected rimming received | 1.27 | 2.74 | 1.56 | 3.12 | 0.50 |
| Total unprotected rimming given | 1.06 | 2.72 | 1.40 | 3.05 | 0.42 |
| Total unprotected fingering received | 1.07 | 2.66 | 0.91 | 2.08 | 0.60 |
| Total unprotected fingering given | 0.79 | 2.22 | 1.44 | 2.84 | 0.10 |
| Unprotected fisting received | 0.01 | 0.15 | 0.02 | 0.13 | 0.66 |
| Unprotected fisting insertive | 0.01 | 0.18 | 0.05 | 0.29 | 0.33 |
| Total Unique partners | 2.48 | 2.76 | 3.33 | 3.67 | 0.09 |