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Related Experiment Videos

Self-reported drug use data: what do they reveal?

E R Harrison1, J Haaga, T Richards

  • 1Social Policy Department, RAND Corporation, Washington, D.C.

The American Journal of Drug and Alcohol Abuse
|January 1, 1993
PubMed
Summary

Self-reported marijuana and cocaine use data show declining trends but reveal inconsistencies. Some individuals inaccurately deny past drug use, influenced by external factors.

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Area of Science:

  • Sociology
  • Psychology
  • Public Health

Background:

  • Self-reported drug use surveys are crucial for understanding substance abuse trends.
  • Previous research indicates declining drug use in the late 1980s.
  • Assessing the accuracy of self-reported drug use is vital for valid epidemiological studies.

Purpose of the Study:

  • To examine self-reported marijuana and cocaine use from national surveys.
  • To compare prevalence rates across birth cohorts and analyze longitudinal inconsistencies.
  • To identify factors influencing reporting accuracy in drug use surveys.

Main Methods:

  • Analysis of data from the National Household Survey of Drug Abuse (NHSDA).
  • Longitudinal analysis of self-reported drug use from the National Longitudinal Survey Youth Cohort (NLS-Y).
  • Comparison of lifetime prevalence rates between survey waves and across birth cohorts.

Main Results:

  • Reported drug use aligned with declining trends in the late 1980s.
  • Significant inconsistencies found in lifetime marijuana and cocaine use reporting over time.
  • Approximately one-fifth of users denied any lifetime use in subsequent surveys, particularly infrequent users.
  • Pregnancy status influenced reporting accuracy, with currently pregnant women reporting more honestly.

Conclusions:

  • While most individuals report drug use accurately, under-reporting and denial are present.
  • External factors, such as pregnancy, significantly impact the accuracy of self-reported drug use.
  • Researchers must consider potential reporting biases when interpreting drug use survey data.

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