| Literature DB >> 22276954 |
Kirsten Marchand1, Eugenia Oviedo-Joekes, Daphne Guh, David C Marsh, Suzanne Brissette, Martin T Schechter.
Abstract
BACKGROUND: Substitution with opioid-agonists (e.g., methadone) has shown to be an effective treatment for chronic long-term opioid dependency. Survival sex work, very common among injection drug users, has been associated with poor Opioid Agonist Treatment (OAT) engagement, retention and response. Therefore, this study was undertaken to determine factors associated with engaging in sex work among long-term opioid dependent women receiving OAT.Entities:
Year: 2012 PMID: 22276954 PMCID: PMC3281790 DOI: 10.1186/1477-7517-9-8
Source DB: PubMed Journal: Harm Reduct J ISSN: 1477-7517
Total number of women reporting sex trade
| Women Total N = 97 | ||||
|---|---|---|---|---|
| Ever (a) | 52 | 53.6 | 97 | 53.6 |
| Baseline | 42 | 43.3 | 97 | 43.3 |
| 3 months | 28 | 28.9 | 89 | 31.5 |
| 6 months | 21 | 21.6 | 86 | 24.4 |
| 9 months | 23 | 23.7 | 88 | 26.1 |
| 12 months | 23 | 23.7 | 92 | 25.0 |
| 18 months | 18 | 18.6 | 87 | 20.7 |
| 24 months | 17 | 17.5 | 81 | 21.0 |
(a) Reported ever being involved in sex trade at some point during the evaluation period
Univariate logistic regression analysis, adjusted by baseline sex trade, of variables associated with engaging in sex trade after baseline
| Variable (a) | OR | p-value |
|---|---|---|
| (95% CI) | ||
| Treatment Retention: (b) | 0.41 | 0.001 |
| Yes vs. No | (0.24, 0.68) | |
| Social Relations: (c) | 1.08 | 0.009 |
| Every 0.2 unit increase | (1.02, 1.14) | |
| Days injecting drugs: (c) | 6.40 | < 0.001 |
| High (≥ 20) vs. Low (≤ 8) | (3.37,12.18) | |
| 3.26 | 0.002 | |
| Medium (9-19) vs. Low (≤ 8) | (1.53, 6.95) | |
| Times injecting on a typical day: (d) | 5.40 | 0.001 |
| High (≥ 7) vs. Low (≤ 3) | (2.05, 14.22) | |
| Days with heroin use: | 5.12 | < 0.001 |
| Every 5 day increase | (2.76, 9.52) | |
| Days with cocaine use: | 5.92 | < 0.001 |
| Every 5 day increase | (2.77, 12.66) | |
| EQ5D: (e) | 0.99 | 0.019 |
| Every 0.1 unit increase | (0.98, 1.00) | |
| Physical health symptoms: (d) | 1.05 | 0.02 |
| Every 1 unit increase | (1.01, 1.09) | |
| Psychological symptoms: (d) | 1.09 | < 0.001 |
| Every 1 unit increase | (1.06, 1.13) | |
OR: Odds ratios; CI: Confidence Interval
(a) All variables refer to the prior month;
(b) Retention to treatment: at least 20 out of prior 30 days;
(c) EuropASI (European version of the Addiction Severity Index). Sub-scale scores range from 0 to 1; higher scores are indicative of more severe problems;
(d) MAP (Maudsley Addiction Profile). Scores range from 0 to 40; higher scores are indicative of more symptoms;
(e) EQ5D (Euroquol) Scores range from 0 to 1; higher scores are indicative of less severe problems; EQ5D index score with U.S. weights.
Multivariate GEE model of predictors of engaging in sex trade after baseline
| Variable (a) | OR | p-value |
|---|---|---|
| (95% CI) | ||
| Heroin use: | 1.26 | 0.01 |
| Every 5 day increase | (1.05, 1.15) | |
| Cocaine use: | 1.36 | < 0.001 |
| Every 5 day increase | (1.16, 1.60) | |
| Psychological symptoms: (b) | 1.07 | < 0.001 |
| Every 1 unit increase | (1.03, 1.11) | |
OR: Odds ratios; CI: Confidence Interval;
Model adjusted by ethnicity, interaction between age and randomization arm, treatment retention (not significant) and study site and baseline sex work (significant).
(a) All variables refer to the prior month;
(b) MAP (Maudsley Addiction Profile). Scores range from 0 to 40; higher scores are indicative of more symptoms.