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How much can data on days with heavy drinking decrease the underestimation of true alcohol consumption?

M Göransson1, B S Hanson

  • 1Department of Community Health Sciences, Lund University, Malmö General Hospital, Sweden.

Journal of Studies on Alcohol
|November 1, 1994
PubMed
Summary
This summary is machine-generated.

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This study improved alcohol consumption estimation by including heavy drinking days, reducing underestimation. Further refinement involves asking about deviations from typical drinking patterns.

Area of Science:

  • Public Health
  • Epidemiology
  • Survey Methodology

Background:

  • Accurate alcohol consumption data is crucial for public health.
  • Traditional quantity-frequency methods often underestimate true alcohol intake.
  • Underestimation poses challenges for epidemiological studies and policy-making.

Purpose of the Study:

  • To assess if an adjusted quantity-frequency method, incorporating heavy drinking occasions, can reduce alcohol consumption underestimation.
  • To improve the accuracy of self-reported alcohol consumption data.
  • To compare estimated consumption with registered alcohol sales.

Main Methods:

  • A modified quantity-frequency questionnaire was mailed to a randomized sample of 1,500 adults (20-75 years) in Malmö, Sweden.
  • Data from 930 participants (64.3% response rate) were analyzed.

Related Experiment Videos

  • Estimated alcohol consumption was validated against city-wide alcohol sales data.
  • Main Results:

    • The adjusted method estimated per capita alcohol consumption at 77.0% of registered sales.
    • Including heavy drinking days increased estimated weekly per capita consumption by 3.5% (74.5g to 77.1g; p < .001).
    • 15.1% of alcohol consumers increased their reported intake after adjustments.

    Conclusions:

    • The adjusted quantity-frequency method, by accounting for heavy drinking days, partially reduces alcohol consumption underestimation.
    • To further minimize underestimation, future surveys should include questions about atypical drinking patterns.
    • Improved survey methods are essential for more accurate alcohol consumption surveillance.