
c59ef0c233bf3598fdc612e30926b4da.ppt
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HIV Risk Behaviors and Alcohol Intoxication among Injection Drug Users in Puerto Rico Tomás D. Matos, MS Center for Addiction Studies Universidad Central del Caribe Study funded by the NIDA, Grant 5 R 01 DA 10636
Background: AIDS • Puerto Rico ranks 5 th in AIDS Incidence among United States • AIDS incidence rate – 26. 4 / 100, 000 pop. • Injection Drug use – 50% of cases • Heterosexual contact – 25% of cases • Men who have sex with men – 16% of cases • Deaths - 62. 0% of AIDS cases 2
Background: ALCOHOL/DRUG USE • 7. 7% alcohol abuse – last year • 4. 9% alcohol dependence – last year • 1. 2% illicit drug abuse – last year • 3. 0% illicit drug dependence – last year 3
Background: ALCOHOL DEPENDENCE • 31. 4% Major depression/Generalized Anxiety disorders • 10. 6% Received specialized treatment services 4
Background: DRUG DEPENDENCE • 41. 4%Major depression/Generalized Anxiety disorders • 27. 3% Received specialized treatment services 5
Methods: Recruitment Design • Eligibility Criteria – Injected last 30 days – 18 years old or more – Not in treatment 6
Methods: Recruitment Design • Recruitment Sites – Cooping Areas – Public Housing Projects – Shooting Galleries – Streets 7
Methods: Structure Interview • Variables: – Demographics – Drug use history – Health status – HIV/AIDS Risk Behaviors – Health Services Utilization 8
Experimental Design Recruitment (Targeted Sampling in Communities of the North Health Care Region) Initial Assessment Randomization Intervention Group Motivational Interviewing by Community Counselors • Inducement to Enter Change Process Motivational Interviewing by Clinical Counselors • Skill Building to Change Risk Behaviors • Inducement to Enter Treatment and Health Care Follow-Up Assessment Outcomes After 6 months Intervention Process: Control Group 9
Methods: Measure • Alcohol Intoxication Question: • During the last 30 days how many days did you drink until intoxicated? ____ number of days 10
Figure 1 Alcohol use - last 30 days 11
Other Measures: • Drug injection behaviors: – number of injection years, – number of injections per day, pooling money to buy drugs. • Drug injection risky behaviors: – shared needles, cotton , water. • Sexual behaviors: – number of casual or paid sex partners. • Sexual risk behaviors: – number of occasions of had unprotected sex (principal, casual, paid partner), sex for money or drug. 12
Analyses: • The measure of the number of days respondents drank until intoxicated as well as the measures of risk behavior were treated as dichotomous variables in the analyses. • Demographic variables of gender, age, education, HIV status, frequency of injection, years of injection, depression and anxiety symptoms were included as covariates. • Statistical analyses employed included chi-square tests and multiple logistic regressions. • All the statistical procedures were conducted with the Statistical Package for the Social Sciences (Version 11. 5, SPSS Inc. , Chicago IL). 13
Sample Profile: Gender 14
Sample Profile: Age 15
Sample Profile: High School Education 16
Sample Profile: Self-Considered Homeless 17
Results: Injection Drug Combination 18
Sample Profile: Mental Health • Severe depression – 51. 9% • Mean/SD – 28. 4/13. 7 • Severe anxiety – 37. 1% • Mean/SD – 20. 4/16. 0 19
HIV Status 20
Table 1. Injection behaviors by alcohol intoxication 21
Table 2. Injection risk by alcohol intoxication 22
Table 3. Sex behaviors by alcohol intoxication 23
Table 4. Sex risk behaviors by alcohol intoxication 24
Table 5 a Results of injection risk behaviors regressed against alcohol intoxication 25
Table 5 b. Results of injection risk behaviors regressed against alcohol intoxication 26
Table 6. Results of type of sexual partner regressed against alcohol intoxication 27
Table 7 a. Results of sexual risk behaviors regressed against alcohol intoxication 28
Table 7 b. Results of sexual risk behaviors regressed against alcohol intoxication 29
Summary • IDUs who also consume alcohol to intoxication • were more likely to: – – – – Had more years of injecting drugs Injected more frequency Pooled money to buy drugs Shared Needles Shared Cotton Had a Paid Sex Partner Had a Casual Sex Partner Had Sex for Money/Drugs • Non-significant differences in sexual risk behavior were observed. 30
Conclusions • This study demonstrates the significant impact of alcohol intoxication and drug use on HIV risk behaviors. • IDUs who also consume alcohol to intoxication are at greater risk of exposure to HIV injection risk behaviors than IDUs who did not. Prevention interventions to reduce HIV risk and HIV prevalence need to assess and address the dual substance abuse problems of IDU and intoxication. • The practices of needle and cotton sharing need to be addressed with preventive interventions that account the risk of alcohol consumption until intoxication. 31
References 1 Fenaughty A and Fisher DG. High-risk sexual behavior among drug users: The utility of a typology of alcohol variables. Sexually Transmitted Diseases 1998; 25(1): 38 -43. 2 Stein MD, Hanna L; Natarajan R, et al. Alcohol use patterns predict high risk behaviors among active injection drug users. Journal of Substance Abuse Treatment 2000; 18: 359 -363. 3 Stein MD, Anderson B, Charuvastra A, and Friedman PD. Alcohol use and sexual risk taking among drinking drug injectors who attend needle exchange. Alcoholism: Clinical and Experimental Research 2001; 25(10): 1487 -1493. 4 Rees V, Saitz R, Horton NJ, and Samet J. Association of alcohol consumption with HIV sex- and drug-risk behaviors among drug users. Journal of Substance Abuse Treatment 2001; 21: 129 -134. 32
c59ef0c233bf3598fdc612e30926b4da.ppt