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Average, binge and maximum alcohol intake in healthy young men: discriminant function analysis.

R Cowan, L K Massey, T K Greenfield

    Journal of Studies on Alcohol
    |November 1, 1985
    PubMed
    Summary

    Blood tests can identify college students who drink heavily. A panel of 35 blood tests accurately classified participants based on their alcohol consumption levels, showing promise for identifying at-risk young drinkers.

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    Area of Science:

    • Biochemistry
    • Toxicology
    • Public Health

    Background:

    • Undergraduate men in Greek houses are known for high alcohol consumption.
    • Previous research identified this demographic as a high-risk group for excessive alcohol intake.
    • Understanding consumption patterns is crucial for targeted interventions.

    Purpose of the Study:

    • To evaluate the effectiveness of blood tests in identifying high-volume alcohol consumers among undergraduate men.
    • To determine if specific blood markers correlate with self-reported alcohol intake.
    • To assess the utility of discriminant analysis for classifying drinkers based on blood profiles.

    Main Methods:

    • Collected blood samples and self-reported lifestyle data (alcohol, diet, exercise, smoking, drug use) from 89 undergraduate men.

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  • Utilized multiple discriminant analysis with 35 blood tests to classify subjects by alcohol consumption.
  • Analyzed classification accuracy at various consumption thresholds (e.g., >2 oz/day, >1.5 oz/day) and binge drinking measures.
  • Main Results:

    • Discriminant analysis correctly classified 100% of subjects consuming >2 oz of alcohol per day.
    • Classification accuracy reached 96% at a threshold of 1.5 oz/day.
    • High accuracy (96-99%) was achieved using binge consumption measures, with 90-92% accuracy for maximum drinks per occasion.

    Conclusions:

    • A panel of common blood tests, analyzed via discriminant analysis, is a promising method for identifying young individuals with high alcohol consumption.
    • This technique shows potential for objective assessment of alcohol intake in at-risk populations.
    • Further research can refine this approach for public health screening and intervention.