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Do changes in per capita consumption mirror changes in drinking patterns?

R G Smart1, H M Suurvali, R E Mann

  • 1Addiction Research Foundation Division, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.

Journal of Studies on Alcohol
|August 6, 2000
PubMed
Summary
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Per capita alcohol consumption from sales data showed a weak relationship with survey measures of drinking patterns over time. This suggests potential issues with data accuracy or unrecorded alcohol use, requiring further investigation.

Area of Science:

  • Epidemiology
  • Public Health
  • Alcohol Research

Background:

  • Alcohol consumption is often measured using both sales data and population surveys.
  • Understanding the concordance between these measures is crucial for accurate public health surveillance.
  • Previous research has explored the relationship between per capita consumption and drinking patterns.

Purpose of the Study:

  • To assess the correlation between per capita alcohol consumption derived from beverage sales and survey-based drinking pattern data.
  • To determine if sales-derived consumption accurately reflects changes in self-reported drinking behaviors over time.

Main Methods:

  • Utilized data from 12 household surveys in Ontario (1977-1997).
  • Analyzed variables including percentage of drinkers, daily drinkers, heavy episodic drinking, alcohol-related harms, and average weekly drinks.

Related Experiment Videos

  • Correlated these survey measures with per capita alcohol consumption figures.

    • Main Results:

    • Found significant correlations only between per capita consumption and the percentage of daily drinkers.
    • Observed a significant correlation between the percentage of drinkers and the average number of drinks per week.
    • Overall, the association between per capita consumption and most survey measures of drinking patterns was weak.

    Conclusions:

    • The relationship between per capita alcohol consumption and survey-derived drinking patterns is not consistently strong.
    • Potential reasons for weak associations include a limited number of data points or increased unrecorded alcohol consumption.
    • Further research is recommended to validate these findings and explore underlying causes.