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

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

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.

Suggested Citation

  • Hser, Y.-I. & Prendergast, M. & Anglin, M.D. & Chen, J.K. & Hsieh, S.-C., 1998. "A regression analysis estimating the number of drug-using arrestees in 185 US cities," American Journal of Public Health, American Public Health Association, vol. 88(3), pages 487-490.
    • Handle: RePEc:aph:ajpbhl:1998:88:3:487-490_2
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    Cited by:

    1. Maxwell, Jane Carlisle & Pullum, Thomas W., 2001. "Using a modification of the capture-recapture model to estimate the need for substance abuse treatment," Evaluation and Program Planning, Elsevier, vol. 24(3), pages 257-265, August.
    2. Lisa Stolzenberg & Stewart D'Alessio & James Rivers & Augusto Newell, 2003. "Measuring Substance Abuse Treatment Need Among Adults in Florida: A Social Indicators Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 61(1), pages 19-57, January.

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