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

Datos Bibliográficos

ID11033871
AutoresYih-Ing Hser (0000-0002-5809-739X, Los Angeles Centers for Alcohol and Drug Abuse), Y I Hser, Michael Prendergast (0000-0003-1532-9127), M D Anglin, J K Chen, Jiatao Chen (0000-0002-2705-7045), S C Hsieh
Año1998
Volumen88
Número3
Páginas487-490
Fecha de publicación1998-03-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaAmerican Journal of Public Health (JOURNAL)
Identificadores de la revistaISSN: 0090-0036 • E-ISSN: 1541-0048
EditorialAmerican Public Health Association (PUBLISHER • US)
DOI10.2105/ajph.88.3.487
PMID9518991
OpenAlexW2000818438
IdiomaEN
Citas recibidas5
Referencias citadas5

OBJECTIVES: This study sought to provide population-based estimates of drug-using arrestees in the 185 largest US cities. METHODS: 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. RESULTS: 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. CONCLUSIONS: This approach represents a cost-efficient method for prevalence estimation based on empirically demonstrable relationships between social indicators and drug use rates

Census · Drug · Economics · Environmental health · Estimation · Logistic regression · Population · Psychiatry · Regression analysis · Sociology · Statistics · Census and Population Estimation · Demography · HIV, Drug Use, Sexual Risk · Mathematics · Medicine · Substance Abuse Treatment and Outcomes