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

Y.-I. Hser, M. Prendergast, M.D. Anglin, J.K. Chen and S.-C. Hsieh

American Journal of Public Health, 1998, vol. 88, issue 3, 487-490

Abstract: 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.

Date: 1998
References: Add references at CitEc
Citations: View citations in EconPapers (2)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aph:ajpbhl:1998:88:3:487-490_2

Access Statistics for this article

American Journal of Public Health is currently edited by Alfredo Morabia

More articles in American Journal of Public Health from American Public Health Association
Bibliographic data for series maintained by Christopher F Baum ().