| Literature DB >> 19125321 |
Adam W Carrico1, Mallory O Johnson, Grant N Colfax, Judith Tedlie Moskowitz.
Abstract
The use of stimulants has important implications for HIV prevention and care. However, few investigations have examined psychological correlates of substance use and adherence to anti-retroviral therapy (ART) among HIV-positive stimulant users. This cross-sectional investigation examined affective correlates of stimulant use and ART adherence among HIV-positive methamphetamine users. In total, 122 HIV-positive men who have sex with men or transgendered individuals on ART who reported using methamphetamine in the past 30 days were recruited from the community. HIV-specific traumatic stress was consistently and independently associated with more frequent cocaine/crack use (but not with methamphetamine use). Positive affect was independently associated with a decreased likelihood of reporting any injection drug use and an increased likelihood of reporting perfect ART adherence. HIV-specific traumatic stress may be an important determinant of increased cocaine/crack use in this population. Positive affect may increase the likelihood that individuals will refrain from injection drug use and achieve high levels of ART adherence.Entities:
Mesh:
Substances:
Year: 2009 PMID: 19125321 PMCID: PMC2891867 DOI: 10.1007/s10461-008-9513-y
Source DB: PubMed Journal: AIDS Behav ISSN: 1090-7165
Demographic and clinical characteristics of 122 HIV-positive individuals on ART (San Francisco, 2007–2008)
| Variable |
|
|---|---|
| Gender | |
| Male | 115 (94) |
| Transgender (male to female) | 5 (4) |
| Transgender (female to male) | 2 (2) |
| Sexual orientation | |
| Exclusively heterosexual | 3 (3) |
| Predominantly heterosexual | 6 (5) |
| Bisexual | 15 (12) |
| Predominantly gay | 20 (16) |
| Exclusively gay | 78 (64) |
| Ethnicity | |
| African American | 39 (32) |
| Hispanic/Latino | 17 (14) |
| Asian/Pacific Islander | 2 (2) |
| Native American/Alaskan Native | 2 (2) |
| Caucasian | 50 (41) |
| Multi-cultural | 12 (9) |
| Education | |
| Did not graduate high school | 17 (14) |
| High school graduate | 31 (26) |
| Some college | 42 (34) |
| College graduate or greater | 32 (26) |
| Income | |
| <$5,000 | 11 (9) |
| $5,000–$11,999 | 54 (44) |
| $12,000–$15,999 | 26 (21) |
| $16,000–$24,999 | 20 (17) |
| $25,000–$74,999 | 11 (9) |
| Currently in a primary relationship | 48 (39) |
| Undetectable HIV viral load (self report) | 74 (61) |
aPossible range of scores was 10–50
bPossible range of scores was 0–75
Logistic regression analyses for indices of methamphetamine use
| Predictor variable | At least weekly | Binge use | Tox+ urine screen | |||
|---|---|---|---|---|---|---|
| AOR | 95% CI | AOR | 95% CI | AOR | 95% CI | |
| Age | .95 | .89–1.01 | .93 | .87–1.00 | .95 | .89–1.01 |
| Caucasian | 1.00 | Reference | 1.00 | Reference | 1.00 | Reference |
| African American | .15** | .06–.41 | .10** | .03–.29 | .37 | .13–1.04 |
| Hispanic/Latino | .39 | .12–1.33 | .20* | .05–.78 | .12* | .02–.64 |
| Other ethnic minority | .64 | .19–2.19 | .47 | .11–1.98 | .37 | .09–1.46 |
| Positive affect (PANAS) | 1.21 | .74–1.98 | .98 | .58–1.64 | 1.00 | .57–1.75 |
| Negative affect (PANAS) | 1.76* | 1.02–3.03 | 1.54 | .86–2.75 | 1.60 | .93–2.78 |
| HIV-specific traumatic stress (IES) | .73 | .46–1.15 | .75 | .46–1.22 | .52* | .30–.90 |
Analyses included all available data from the 122 participants
AOR adjusted odds ratio
* P < .05; ** P ≤ .01
Logistic regression analyses for indices of cocaine/crack use
| Predictor variable | At least weekly | Binge use | Tox+ urine screen | |||
|---|---|---|---|---|---|---|
| AOR | 95% CI | AOR | 95% CI | AOR | 95% CI | |
| Age | 1.06 | .99–1.13 | 1.06 | .99–1.13 | 1.05 | .98–1.13 |
| Caucasian | 1.00 | Reference | 1.00 | Reference | 1.00 | Reference |
| African American | 3.66* | 1.31–10.23 | 2.93* | 1.08–7.96 | 5.19** | 1.81–14.87 |
| Hispanic/Latino | 1.77 | .43–7.29 | 2.21 | .58–8.42 | 2.37 | .60–9.42 |
| Other ethnic minority | 3.06 | .79–11.77 | 1.93 | .50–7.36 | 2.67 | .66–10.79 |
| Positive affect (PANAS) | .78 | .47–1.29 | .79 | .48–1.30 | .79 | .48–1.31 |
| Negative affect (PANAS) | .77 | .45–1.33 | .85 | .51–1.44 | .87 | .51–1.47 |
| HIV-specific traumatic stress (IES) | 2.18** | 1.33–3.58 | 1.86** | 1.16–2.99 | 1.74* | 1.07–2.82 |
Analyses included all available data from the 122 participants
AOR adjusted odds ratio
* P < .05; ** P ≤ .01
Logistic regression analyses for injection drug use and ART adherence
| Predictor variable | Injection drug use | 100% ART adherence | ||
|---|---|---|---|---|
| AOR | 95% CI | AOR | 95% CI | |
| Age | 1.01 | .95–1.07 | .99 | .92–1.07 |
| Caucasian | 1.00 | Reference | 1.00 | Reference |
| African American | .48 | .19–1.18 | 1.45 | .50–4.24 |
| Hispanic/Latino | .52 | .16–1.71 | .90 | .21–3.77 |
| Other ethnic minority | .65 | .20–2.10 | 4.00* | 1.09–14.70 |
| Time since HIV diagnosis | .96 | .88–1.05 | ||
| Time since starting ART | 1.06 | .97–1.17 | ||
| Positive affect (PANAS) | .62* | .38–.99 | 1.79* | 1.06–3.03 |
| Negative affect (PANAS) | .89 | .55–1.43 | 1.23 | .71–2.14 |
| HIV-specific traumatic stress (IES) | .85 | .55–1.31 | 1.56 | .96–2.55 |
Analyses included all 122 participants
AOR adjusted odds ratio
* P < .05