title: Predicting protected sexual behaviour using the Information-Motivation-Behaviour skills model among adolescent substance abusers in court-ordered treatment.
abstract: The Information-Motivation-Behavioural skills model (Fisher & Fisher, 1992) was used to predict condom use among adolescents residing in a court-ordered inpatient substance abuse treatment programme (N = 271; 181 male and 90 female, primarily of minority ethnicity). In a predictive structural equation model, demographic variables, HIV transmission knowledge, and motivational variables of pro-condom norms and attitudes, and perceived susceptibility predicted condom use skills and condom use self-efficacy. Along with the other variables in the model, condom skills and condom self-efficacy were hypothesized to predict condom use over a three-month period. It was found that condom skills were predicted by greater age, pro-condom attitudes and greater perceived susceptibility. Condom self-efficacy was predicted by gender, pro-condom norms and condom attitudes. Condom use was significantly predicted by pro-condom norms and stronger condom self-efficacy. Both condom skills and knowledge did not significantly predict condom use. Significant demographic predictors of condom use included greater age and gender. Results suggest that changing personal attitudes about condoms and reinforcing the power of pro-condom beliefs among significant others will encourage condom use among adolescents who are at high risk for HIV and other STDs.
authors.affiliation: University of Connecticut.
authors.forename: S
authors.initials: S
authors.lastname: Kalichman
authors.forename: J A
authors.initials: JA
authors.lastname: Stein
authors.forename: R
authors.initials: R
authors.lastname: Malow
authors.forename: C
authors.initials: C
authors.lastname: Averhart
authors.forename: J
authors.initials: J
authors.lastname: Dévieux
authors.forename: T
authors.initials: T
authors.lastname: Jennings
authors.forename: G
authors.initials: G
authors.lastname: Prado
authors.forename: D J
authors.initials: DJ
authors.lastname: Feaster