Document 1862
 DOCN  M94A1862
 TI    The AIDS risk reduction model and HIV prevention in Uganda.
 DT    9412
 AU    Schumann DA; Stallings R; Nathanson C; Nabwiso F; Salmond W; Rwabukwali
       C; Assingwire N; Marks J; Dept. of Pop. Dynamics, Johns Hopkins
       University, Baltimore,; Maryland 21205.
 SO    Int Conf AIDS. 1994 Aug 7-12;10(1):434 (abstract no. PD0344). Unique
       Identifier : AIDSLINE ICA10/94370713
 AB    OBJECTIVES: This study examines the applicability of the AIDS Risk
       Reduction Model (Cantania et al 1990) to a population served by the AIDS
       Information Center (AIC) in Uganda. METHODOLOGY: 443 AIC clients aged
       18-35 were interviewed in 1992. 375 of the study clients were
       re-interviewed 6-12 months later. Scaled variables measuring specific
       ARRM variables were developed using factor analysis and reliability
       assessment. Scale scores were compared at baseline and follow-up to
       ascertain change in ARRM variables by gender, serostatus, and other key
       indicators. RESULTS: Items designed to measure the ARRM variable,
       perceived susceptibility, formed two dimensions, susceptible to
       temptation and susceptible when drinking. There was no change in
       perceived susceptibility to temptation between baseline and followup by
       gender, serostatus, and knowledge of serostatus. But type of partnership
       at baseline (stable unions or abstinent) was associated with a decrease
       in perceived susceptibility to temptation over time. One dimension of
       the ARRM variable Social Norms entitled justify many partners showed an
       increase over time for seropositive males and males who did not return
       for test results. DISCUSSION AND CONCLUSIONS: This paper illustrates the
       application of the AIDS Risk Reduction Model to the urban Ugandan
       setting. Change in specific ARRM variables over time identifies
       potential high risk groups in the study population, such as seropositive
       males, and reminds us that target groups for behavioral change programs
       are heterogeneous and may respond differently to HIV prevention programs
       dependent upon gender, serostatus, and relationship status.
 DE    Acquired Immunodeficiency Syndrome/PREVENTION & CONTROL  Adolescence
       Adult  Female  *Health Education  Human  HIV Infections/*PREVENTION &
       CONTROL  Male  Risk Factors  Uganda  MEETING ABSTRACT

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