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  1. Fulltext. A regression analysis estimating the number of drug-using arrestees in 185 US cities.

    Article - En anglais



    This study sought to provide population-based estimates of drug-using arrestees in the 185 largest US cities.


    A prevalence model for drug-using arrestees was developed by relating selected social indicators (from 1990 census data) and drug use rates (from Drug Use Forecasting program data) via logistic regression analysis.


    It was estimated that in 1990, across the 185 cities, about 925 000 arrestees used cocaine, 317 000 used opiates, 213 000 used amphetamines, 389 000 were drug injectors, and 1 296 000 used an illicit drug.


    This approach represents a cost-efficient method for prevalence estimation based on empirically demonstrable relationships beetwen social indicators and drug use rates.

    Mots-clés Pascal : Toxicomanie, Milieu carcéral, Homme, Régression logistique, Prévalence, Statut socioéconomique, Substance toxicomanogène, Consommation, Modèle prévision, Epidémiologie, Etats Unis, Amérique du Nord, Amérique, Arrestation

    Mots-clés Pascal anglais : Drug addiction, Carceral environment, Human, Logistic regression, Prevalence, Socioeconomic status, Drug of abuse, Consumption, Forecast model, Epidemiology, United States, North America, America

    Logo du centre Notice produite par :
    Inist-CNRS - Institut de l'Information Scientifique et Technique

    Cote : 98-0201428

    Code Inist : 002B30A01A2. Création : 11/09/1998.