Ml. Williams et al., A CLUSTER-ANALYSIS OF NOT-IN-TREATMENT DRUG-USERS AT RISK FOR HIV-INFECTION, The American journal of drug and alcohol abuse, 24(2), 1998, pp. 199-223
The purpose of the analysis described here was to classify not-in-trea
tment drug users participating in the National Institute on Drug Abuse
(NIDA)-sponsored Cooperative Agreement study into several ''homogeneo
us'' HIV risk groups using cluster analysis. Data for this analysis (N
= 17,778) were collected at 19 study sites in the United States and P
uerto Rico. Measures selected for the cluster analysis were limited to
(a) current drug use and HIV risk behaviors, (b) mutually exclusive b
ehaviors, (c) behaviors directly related to HIV risk, and (d) behavior
s that were not statistically rare. Eight homogeneous HIV risk cluster
s were produced. Crack cocaine use was the most distinguishing feature
of three clusters. Another three clusters were distinguishable by dru
g injection and needle use practices. Two additional clusters could no
t be grouped with either the crack-or the injection-dominant clusters.
Prostitution was the most distinguishing risk behavior of one of thes
e clusters, and extremely high drug injection frequencies and relative
rates of risky needle use characterized the other. Composition of the
clusters varied significantly by gender, race/ethnicity, educational
attainment, and drug use characteristics. In addition, perceptions and
behaviors initiated to reduce the chances of becoming infected with H
IV varied by cluster. Subjects in the crack-predominant clusters repor
ted low perceptions of the chances of getting AIDS. Perceptions of the
chances of becoming infected with HIV among subjects in the injection
-predominant clusters were strongly related to injection frequency. Se
roprevalence was also related to cluster. Higher rates of HIV infectio
n were evident among the injection-predominant clusters, and higher ra
tes were related to frequency of injection and the rate of risky needl
e use. Among the crack-predominant clusters, the relationship between
drug use and sexual behaviors and HIV infection was less clear.