Functioning of alcohol use disorder criteria among men and women with arrests for driving under the influence of alcohol.

paper Primary Public

Authors: McCutcheon, Vivia V; Agrawal, Arpana; Heath, Andrew C; Edenberg, Howard J; Hesselbrock, Victor M; Schuckit, Marc A; Kramer, John R; Bucholz, Kathleen K
Year: 2011
Journal: Alcoholism, clinical and experimental research
PMID: 21631541
DOI: 10.1111/j.1530-0277.2011.01550.x
PMCID: PMC3166544

BACKGROUND: Many states require screening of individuals arrested for driving under the influence (DUI) of alcohol to determine recidivism risk and the need for treatment based on severity of alcohol problems. Several screening instruments use DSM-IV criteria for alcohol abuse and dependence to assess alcohol problems in this population, but whether they adequately measure alcohol problems in individuals with DUIs has not been examined. In addition, gender differences in DUI samples suggest that female offenders have more severe alcohol problems than male offenders. The current study examines differences in alcohol criteria functioning by DUI history and gender using an item response theory (IRT) approach. METHODS: Data from diagnostic interviews with 8,605 participants in the Collaborative Study on the Genetics of Alcoholism, including 1,655 who ever reported a DUI arrest (20% women), were used to examine differences in alcohol criteria functioning between men and women with and without DUIs. The factor underlying item response was conceptualized as unidimensional, representing alcohol problem severity. RESULTS: Social/interpersonal problems, larger/longer, and inability/persistent desire to quit displayed greater discrimination of IRT-defined alcohol problem severity among individuals with DUIs than those without. Irrespective of DUI status, women had a higher threshold than men for time spent drinking or recovering. Women without DUIs had a higher threshold than similar men for social/interpersonal problems. Taken as a whole, the criteria yielded similar amounts of information in all groups. CONCLUSIONS: DSM-IV criteria for alcohol abuse and dependence adequately detect alcohol problem severity in individuals with DUIs, and some are better at detecting severity in this particularly high-risk group than in individuals without DUIs. However, the criteria as a whole are equally effective in measuring alcohol problem severity among individuals with and without DUIs and may be used with confidence in screening DUI offenders.

#	Section	Preview
0	INTRODUCTION	Individuals arrested for driving under the influence of alcohol (DUI) represent a significant risk…
1	INTRODUCTION	these instruments are widely used in judicial settings but have not been sufficiently evaluated…
2	INTRODUCTION	Women account for an increasing proportion of individuals arrested for DUI. Arrests of women for DUI…
3	INTRODUCTION	et al., 1996; Kahler et al., 2003; Schuckit et al., 1998; Wu et al., 2009), suggests that women with…
4	INTRODUCTION	The current study examines differences in DSM-IV alcohol abuse and dependence criteria functioning…
5	MATERIALS AND METHODS — Sample	Data were collected from 1287 probands and 7318 relatives of probands who participated in the…
6	MATERIALS AND METHODS — Sample	17% African American, 6% Hispanic white, and 3% other ethnicity, with a mean age of 40.2 (sd =…
7	MATERIALS AND METHODS — Sample	a greater number of AUD criteria than individuals with no DUIs (range 0 – 11, DUI, mean (sd) = 8.3…
8	MATERIALS AND METHODS — Measures	The Semi-Structured Assessment for the Genetics of Alcoholism (SSAGA; Bucholz et al., 1994; Bucholz…
9	MATERIALS AND METHODS — Measures	more when you spent so much time drinking or recovering from the effects of alcohol that you had…
10	MATERIALS AND METHODS — Statistical analysis	Two abuse criteria, hazardous use and legal problems, were excluded from the analysis due to their…
11	MATERIALS AND METHODS — Statistical analysis	Exploratory factor analysis (EFA; Fabrigar et al., 1999) was used to determine the number of factors…
12	MATERIALS AND METHODS — Statistical analysis	The direct effects of gender on AUD criteria in the sample as a whole were tested within the…
13	MATERIALS AND METHODS — Statistical analysis	status. In these models, factor means were set to zero for women without DUIs and were freely…
14	MATERIALS AND METHODS — Statistical analysis	tests were conducted to assess DCF by gender for individuals with and without DUIs, using the…
15	MATERIALS AND METHODS — Statistical analysis	For criteria showing DCF, effect sizes for were calculated for difficulty parameters showing DCF as…
16	MATERIALS AND METHODS — Statistical analysis	Descriptive statistics were computed using Stata statistical software (StataCorp, 2009), and factor…
17	RESULTS	Rates of alcohol dependence for individuals with and without DUIs were 81.3% and 30.8%,…
18	RESULTS — DUI versus alcohol abuse with no DUI	Individuals with DUIs (n=1655)were compared to those who met abuse criteria (with or without…
19	RESULTS — DUI versus alcohol abuse with no DUI	higher lifetime rates of illicit drug use (77.0% vs. 67.9%, p < .001), major depression (50.6% vs.…

Name	Type
4-group model local	cohort
Abuse without DUI Cohort local	cohort
addiction	phenotype
adolescents	cohort
Adults18Plus local	cohort
Adults aged 18 and older local	cohort
African American	cohort
age at initiation	phenotype
alcohol	phenotype
alcohol abuse	phenotype
Alcohol abuse with DUI local	cohort
Alcohol abuse without DUI local	cohort
alcohol dependence	phenotype
Alcohol Problems	phenotype
alcohol-related phenotypes	phenotype
alcohol-related problems	phenotype
alcohol severity factor local	phenotype
Alcohol severity factor local	phenotype
Alcohol Severity Factor local	phenotype
Alcohol Use	phenotype
Alcohol Use Disorder	phenotype
Alcohol Use Disorder (AUD) criterion endorsement local	phenotype
antisocial personality disorder	phenotype
arrest for DUI local	phenotype
AUD	phenotype
cannabis use	phenotype
childhood trauma	phenotype
clinical samples	cohort
Collaborative Study on the Genetics of Alcoholism (COGA)	cohort
conduct disorder	phenotype
continued drinking despite physical or psychological problems local	phenotype
Continuum of alcohol problem severity local	phenotype
Crash-related deaths local	phenotype
DCF local	phenotype
Dependence symptoms	phenotype
Difficulty quitting local	phenotype
domestic violence program local	cohort
Drinking despite physical or psychological problems local	phenotype
drinking larger amounts than intended local	phenotype
Drinking/recovering local	phenotype
Driving under influence local	phenotype
Driving Under Influence local	phenotype
Driving Under Influence (DUI) local	phenotype
Driving under the influence	phenotype
Driving Under the Influence local	cohort
Driving Under the Influence (DUI) local	phenotype
Driving under the influence of alcohol local	phenotype
drug dependence	phenotype
Drunken behavior arrests local	phenotype
DSM-III-R alcohol dependence	phenotype
DSM-IV criteria for alcohol abuse local	phenotype
DSM-IV criteria for alcohol dependence local	phenotype
DUI arrestees local	cohort
DUI Cohort local	cohort
DUI group local	cohort
DUI history local	phenotype
DUI offenders local	cohort
DUI status local	cohort
DUI status local	phenotype
families	cohort
Feighner definite alcoholism local	phenotype
Female DUI group local	cohort
full sample	cohort
Giving up activities	phenotype
GivingUpActivities local	phenotype
hazardous use	phenotype
High risk family study local	cohort
High risk for Alcohol Use Disorder local	phenotype
high-risk sample	cohort
HighRiskSample local	cohort
High-risk samples local	cohort
Hispanic white local	cohort
illicit drug use	phenotype
inability/persistent desire to quit local	phenotype
Inability/persistent desire to quit local	phenotype
Inability/Persistent desire to quit local	phenotype
Individuals with DUIs local	cohort
Individuals without DUIs local	cohort
larger/longer	phenotype
legal problems	phenotype
Low income	phenotype
major depressive disorder	phenotype
Male DUI group local	cohort
Maximum Drinks in 24h local	phenotype
men	cohort
men with DUI local	cohort
Men with DUI local	phenotype
Men with DUI histories local	cohort
Men with DUIs local	cohort
Men with no DUIs local	cohort
men without DUI local	cohort
More local	phenotype
Multisite treatment sample local	cohort
NESARC	cohort
No DUI local	phenotype
Non-DUI group local	cohort
number of DUIs local	phenotype
Number of DUIs local	phenotype
Other ethnicity local	cohort
parental divorce/separation	phenotype
participants	cohort
Physical problems	phenotype
physical/psychological problems local	phenotype
Physical/Psychological problems local	phenotype
population-based sample	cohort
population-based samples	cohort
PopulationBasedSamples local	cohort
probands	cohort
psychiatric disorders	phenotype
psychological problems	phenotype
Recidivism risk local	phenotype
Relatives of probands local	cohort
role failure local	phenotype
Separated/divorced local	phenotype
Separation	phenotype
sex	phenotype
Social and environmental adversity local	phenotype
Social or interpersonal problems due to drinking local	phenotype
social problems	phenotype
spending so much time drinking local	phenotype
Time Spent	phenotype
Time spent drinking	phenotype
TimeSpentDrinking local	phenotype
Time spent drinking or recovering local	phenotype
time spent drinking/recovering local	phenotype
tolerance	phenotype
withdrawal	phenotype
women	cohort
women with DUI local	cohort
Women with DUI local	phenotype
Women with DUI histories local	cohort
Women with DUIs local	cohort
Women with no DUIs local	cohort
women without DUI local	cohort
Women without DUIs local	cohort

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