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Alternative measures and models of hazardous consumption
1National Institute on Alcohol Abuse and Alcoholism/DBE, National Institutes of Health, Willco Building, Suite 514, 6000 Executive Boulevard MSC 7003, Bethesda, MD 20892-7003, USA. ddawson@willco.niaaa.nih.gov
Journal of Substance Abuse
|April 6, 2001
Summary
Two ways to measure hazardous alcohol consumption were compared. Neither method consistently predicted alcohol-related outcomes better, but simple measures proved effective.
Area of Science:
- Addiction research
- Public health
- Behavioral science
Background:
- Hazardous alcohol consumption is typically defined as exceeding a threshold (approx. 60g) on drinking days.
- Two conceptualizations exist: total intake on threshold-exceeding days vs. only the amount above the threshold.
- The former is hypothesized to better predict acute alcohol-related outcomes due to improved individual discrimination.
Purpose of the Study:
- To compare the predictive power of two distinct measures of hazardous alcohol consumption.
- To evaluate their effectiveness in predicting acute alcohol-related outcomes.
- To identify optimal modeling strategies for hazardous alcohol intake.
Main Methods:
- Two alternative estimation approaches for hazardous alcohol consumption were developed.
- These measures were used in multiplicative models to predict four alcohol-related outcomes: impaired driving, fighting, interpersonal problems, and injuries.
- Model performance was assessed by the proportion of variance explained.
Main Results:
- No consistent evidence emerged supporting one conceptualization of hazardous alcohol consumption over the other in predicting outcomes.
- Linear transformations of consumption variables significantly improved predictive power.
- Models incorporating frequency, mean volume per hazardous day, and nonhazardous intake volume demonstrated high predictive accuracy.
Conclusions:
- The conceptualization of hazardous alcohol consumption does not appear to be a critical factor in predicting acute alcohol-related outcomes.
- Linear transformations and simpler, easily obtainable measures can effectively predict alcohol-related harms.
- Focusing on frequency, volume per hazardous day, and nonhazardous intake offers a practical approach to risk assessment.