Abstract
BackgroundVariability in sensitivity to the acute effects of alcohol is an important risk factor for the development of alcohol use disorder (AUD). The most commonly used retrospective self‐report measure of sensitivity, the Self‐Rating of the Effects of Alcohol (SRE) form, queries a limited number of alcohol effects and relies on respondents’ ability to recall experiences that might have occurred in the distant past. Here, we investigated the construct validity of an alternative measure that queries a larger number of alcohol effects, the Alcohol Sensitivity Questionnaire (ASQ), and compared it to the SRE in predicting momentary subjective responses to an acute dose of alcohol.MethodsHealthy young adults (N = 423) completed the SRE and the ASQ and then were randomly assigned to consume either alcohol or a placebo beverage (between‐subjects manipulation). Stimulation and sedation (Biphasic Alcohol Effects Scale) and subjective intoxication were measured multiple times after drinking.ResultsHierarchical linear models showed that the ASQ reliably predicted each of these outcomes following alcohol but not placebo consumption, provided unique prediction beyond that associated with differences in recent alcohol involvement, and was preferred over the SRE (in terms of model fit) in direct model comparisons of stimulation and sedation.ConclusionsThe ASQ compared favorably with the better‐known SRE in predicting increased stimulation and reduced sedation following an acute alcohol challenge. The ASQ appears to be a valid self‐report measure of alcohol sensitivity and therefore holds promise for identifying individuals at‐risk for AUD and related problems.
Topics

No keywords indexed for this article. Browse by subject →

References
44
[1]
A new look at the statistical model identification

H. Akaike

IEEE Transactions on Automatic Control 10.1109/tac.1974.1100705
[5]
2002 Springer New York KP Burnham DR Anderson Model Selection and Multimodel Inference: A Practical Information‐Theoretic Approach
[6]
Constructing validity: Basic issues in objective scale development.

Lee Anna Clark, David Watson

Psychological Assessment 10.1037/1040-3590.7.3.309
[20]
A general and simple method for obtaining R 2 from generalized linear mixed‐effects models

Shinichi Nakagawa, Holger Schielzeth

Methods in Ecology and Evolution 10.1111/j.2041-210x.2012.00261.x
[23]
NIAAA(2003)Task Force on Recommended Questions of the National Council on Alcohol Abuse and Alcoholism: Recommended Sets of Alcohol Consumption Questions October 15–16. Available at:http://www.niaaa.nih.gov/research/guidelines-and-resources/recommended-alcohol-questions. Accessed September 9 2009.
[24]
NIAAA(2004)Administering Alcohol in Human Studies. Available at:http://niaaa.nih.gov/Resources/ResearchResources/job22.htm. Accessed January 18 2008.
[26]
O'Neill SE "Alcohol susceptibility and tolerance in young adults" Alcohol Clin Exp Res (2002)
[29]
Subjective Response to Alcohol Challenge: A Quantitative Review

Patrick D. Quinn, Kim Fromme

Alcoholism: Clinical and Experimental Research 10.1111/j.1530-0277.2011.01521.x
[30]
Self-Rating of the Effects of Alcohol (SRE): Predictive utility and reliability across interview and self-report administrations

Lara A. Ray, Eliza J. Hart, Pauline F. Chin

Addictive Behaviors 10.1016/j.addbeh.2010.10.009
[31]
1986 Springer New York Y Sakamoto M Ishiguro G Kitagawa Akaike Information Criterion Statistics
[32]
Schermelleh‐Engel K "Evaluating the fit of structural equation models: tests of significance and descriptive goodness‐of‐fit measures" Methods Psychol Res (2003)
[34]
Plasma Cortisol Levels Following Ethanol in Sons of Alcoholics and Controls

Marc A. Schuckit

Archives of General Psychiatry 10.1001/archpsyc.1987.01800230022005
[43]
AIC model selection using Akaike weights

Eric-Jan Wagenmakers, Simon Farrell

Psychonomic Bulletin & Review 10.3758/bf03206482