Using the Bivariate Dale Model to jointly estimate predictors of frequency and quantity of alcohol use

• Published in: Journal of studies on alcohol Vol. 66; no. 5; p. 688
• Main Authors: McMillan, Garnett P, Hanson, Tim, Bedrick, Edward J, Lapham, Sandra C
• Format: Journal Article
• Language: English
• Published: United States 01.09.2005
• Subjects: Adult; Alcohol Drinking - epidemiology; Alcohol Drinking - legislation & jurisprudence; Alcohol Drinking - psychology; Alcoholism - epidemiology; Alcoholism - psychology; Alcoholism - rehabilitation; Automobile Driving - legislation & jurisprudence; Beer; Child; Child Abuse, Sexual - psychology; Child Abuse, Sexual - statistics & numerical data; Confidence Intervals; Cross-Sectional Studies; Female; Humans; Logistic Models; Male; Mass Screening; Middle Aged; Models, Statistical; Odds Ratio; Risk Factors; Statistics as Topic
• ISSN: 0096-882X
• DOI: 10.15288/jsa.2005.66.688

This study demonstrates the usefulness of the Bivariate Dale Model (BDM) as a method for estimating the relationship between risk factors and the quantity and frequency of alcohol use, as well as the degree of association between these highly correlated drinking measures. The BDM is used to evaluate childhood sexual abuse, along with age and gender, as risk factors for the quantity and frequency of beer consumption in a sample of driving-while-intoxicated (DWI) offenders (N = 1,964; 1,612 men). The BDM allows one to estimate the relative odds of drinking up to each level of ordinal-scaled quantity and frequency of alcohol use, as well as model the degree of association between quantity and frequency of alcohol consumption as a function of covariates. Individuals who experienced childhood sexual abuse have increased risks of higher quantity and frequency of beer consumption. History of childhood sexual abuse has a greater effect on women, causing them to drink higher quantities of beer per drinking occasion. The BDM is a useful method for evaluating predictors of the quantity-frequency of alcohol consumption. SAS macrocode for fitting the BDM model is provided.