Regional variation in drug purchase opportunity among youths in the United States, 1996-1997

J Urban Health. 2002 Mar;79(1):104-12. doi: 10.1093/jurban/79.1.104.

Abstract

This study was designed to examine geographic variation in illegal drug purchase opportunity among young people living in the United States; there was a subfocus on age, sex, and urban/rural residence. Data from the 1996-1997 National Household Surveys on Drug Abuse were analyzed; the nationally representative sample of community residents included 21,531 participants aged 12-24 years old. Respondents were asked if someone had approached them to sell them an illegal drug during the past 30 days. To protect respondents' confidentiality, there is no finegrained geographical coding of data in the National Household Surveys on Drug Abuse public use data files, but nine geographical divisional indicators are provided (i.e., West North Central, New England, etc.). Results indicated males were an estimated 1.8 times more likely than females to have had a recent illicit drug purchase opportunity, and urban residents were 1.5 times more likely than rural residents to have had a recent drug purchase opportunity. As for geographic divisions, the Pacific division surpassed all other divisions: Its residents were 1.5 times more likely to have recent drug purchase opportunities than the West North Central division (used here as a reference category). After controlling statistically for age, sex, and urban/rural residence, residence in four divisions was found to be associated with greater likelihood of an illicit drug purchase opportunity. The observed patterns of drug purchase opportunity add new features to our understanding of illicit drug involvement across the United States.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adolescent
  • Child
  • Commerce / statistics & numerical data*
  • Data Collection
  • Drug and Narcotic Control
  • Family Characteristics
  • Female
  • Geography
  • Humans
  • Illicit Drugs / supply & distribution*
  • Likelihood Functions
  • Male
  • Rural Population / statistics & numerical data
  • Substance-Related Disorders / epidemiology
  • United States / epidemiology
  • Urban Population / statistics & numerical data

Substances

  • Illicit Drugs