Predicting Substance Abuse Among Youth With, or at High Risk for, HIV

This article describes data from 4,111 males and 4,085 females participating in 10 HIV/AIDS service demonstration projects. The sample was diverse in age, gender, ethnicity, HIV status, and risk for HIV transmission. Logistic regression was used to determine the attributes that best predict substanc...

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Bibliographic Details
Published in:Psychology of addictive behaviors 2000-06, Vol.14 (2), p.197-205
Main Authors: Huba, G. J, Melchior, Lisa A, Greenberg, Brian, Trevithick, Lee, Feudo, Rudy, Tierney, Steven, Sturdevant, Marsha, Hodgins, Antigone, Remafedi, Gary, Woods, Elizabeth R, Wallace, Michael, Schneir, Arlene, Kawata, Ariane K, Brady, Russell E, Singer, Barney, Marconi, Katherine, Wright, Eric, Panter, A. T
Format: Article
Language:English
Subjects:
Acquired Immunodeficiency Syndrome - psychology
Addictive behaviors
Adolescent
Adult
Adult and adolescent clinical studies
Age Factors
At Risk Populations
Biological and medical sciences
Drug Abuse
Drug addiction
Ethnic Groups - statistics & numerical data
Female
High risk
HIV
HIV Infections - psychology
Human
Human immunodeficiency virus
Human Sex Differences
Human viral diseases
Humans
Infectious diseases
Juvenile Delinquency - psychology
Male
Medical sciences
Odds Ratio
Population Surveillance
Predictive Value of Tests
Predictors
Psychology. Psychoanalysis. Psychiatry
Psychopathology. Psychiatry
Psychosexual Behavior
Risk Assessment
Risk Factors
Sex Factors
Sexual Behavior - psychology
Substance abuse
Substance-Related Disorders - epidemiology
Substance-Related Disorders - etiology
Substance-Related Disorders - psychology
United States - epidemiology
Viral diseases
Viral diseases of the lymphoid tissue and the blood. Aids
Young people
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Summary:This article describes data from 4,111 males and 4,085 females participating in 10 HIV/AIDS service demonstration projects. The sample was diverse in age, gender, ethnicity, HIV status, and risk for HIV transmission. Logistic regression was used to determine the attributes that best predict substance abuse. Males who were younger; HIV positive; homeless; involved in the criminal justice system; had a sexually transmitted disease (STD); engaged in survival sex; and participated in risky sex with men, women, and drug injectors were most likely to have a substance abuse history. For females, the same predictors were significant, with the exception of having an STD. Odds ratios as high as 6 to 1 were associated with the predictors. Information about sexual and other risk factors also was highly predictive of substance abuse issues among youth.
ISSN:0893-164X
1939-1501
DOI:10.1037/0893-164X.14.2.197