TY - JOUR
T1 - Predictors of change in frequency of crack cocaine use in a street- recruited sample
AU - Deren, Sherry
AU - Beardsley, Mark
AU - Tortu, Stephanie
AU - Goldstein, Marjorie F.
PY - 1999/3
Y1 - 1999/3
N2 - Crack cocaine users are at high risk for HIV, with higher frequency crack users engaging in higher rates of HIV-related sexual risk behaviors. This study will assess the variables impacting changes in crack use frequency. Out-of-treatment crack users were street recruited in East Harlem, NY. Subjects (n = 727) were 33% female, 91% minority, and 28% reported recent drug injecting. Baseline and 6-month follow-up interviews were administered. There was a significant reduction in crack use over time (p < .0001). Subjects were categorized according to five groups, based on their change in level of crack use between the two interviews, to predict those who stopped, maintained, or changed their level of use. Discriminant analyses identified six variables as the best predictors of the five groups, including having been in drug treatment since baseline and having been a drug injector (both related to reduced levels of crack use). The overall reduction in crack use for the sample masked the fact that important subgroups remained at high use levels or increased their use. The identification of subgroups who may be most resistant to reducing drug use can be helpful in developing more effective interventions.
AB - Crack cocaine users are at high risk for HIV, with higher frequency crack users engaging in higher rates of HIV-related sexual risk behaviors. This study will assess the variables impacting changes in crack use frequency. Out-of-treatment crack users were street recruited in East Harlem, NY. Subjects (n = 727) were 33% female, 91% minority, and 28% reported recent drug injecting. Baseline and 6-month follow-up interviews were administered. There was a significant reduction in crack use over time (p < .0001). Subjects were categorized according to five groups, based on their change in level of crack use between the two interviews, to predict those who stopped, maintained, or changed their level of use. Discriminant analyses identified six variables as the best predictors of the five groups, including having been in drug treatment since baseline and having been a drug injector (both related to reduced levels of crack use). The overall reduction in crack use for the sample masked the fact that important subgroups remained at high use levels or increased their use. The identification of subgroups who may be most resistant to reducing drug use can be helpful in developing more effective interventions.
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U2 - 10.1080/105504999305893
DO - 10.1080/105504999305893
M3 - Article
C2 - 10365189
AN - SCOPUS:0033011642
SN - 1055-0496
VL - 8
SP - 94
EP - 100
JO - American Journal on Addictions
JF - American Journal on Addictions
IS - 2
ER -