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

Dados 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
Ano1998
Volume88
Fascículo3
Páginas487-490
Data de publicação1998-03-01
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoAmerican Journal of Public Health (JOURNAL)
Identificadores do periódicoISSN: 0090-0036 • E-ISSN: 1541-0048
EditoraAmerican Public Health Association (PUBLISHER • US)
DOI10.2105/ajph.88.3.487
PMID9518991
OpenAlexW2000818438
IdiomaEN
Citações recebidas5
Referências 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