Multidimensional Structure of the Alcohol Use Disorders Identification Test: Factorial Validity and Reliability in Patients with Anxiety and Mood disorders in Lithuania

Julija Gecaite, Vesta Steibliene, Naomi Fineberg, Aurelija Podlipskyte, Adomas Bunevičius, Vilma Liaugaudaite, Alicja Juskiene, Narseta Mickuvienė, Julius Burkauskas

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Abstract

Aims. The current study aimed to evaluate the factorial structure of the Lithuanian version of the Alcohol Use Disorders Identification Test (AUDIT) in patients with anxiety and mood disorders (AMD).
Methods. The AUDIT was completed by 199 consecutive outpatients with AMD (21% men, mean age 39±12 years), as defined by AMD criteria in Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5) (Association, 2013). The MINI International Neuropsychiatric Interview (Sheehan, 2016) was used for current diagnosis of alcohol use disorder. Sociodemographic and clinical data were also collected.
Results. In patients with AMD, the AUDIT showed high internal consistency (Cronbach's alpha = 0.88) and good psychometric characteristics for identifying current alcohol use disorder at a cut-off value of ≥9 (positive predictive value=83.7%, sensitivity=94.7%, specificity=95.7%). The confirmatory factor analysis suggested a three-factor (‘consumption’, ‘dependence’, and ‘related consequences’) structure and indicated adequate fit to the model (comparative fit index=0.966, normed fit index=0.936, root mean square error of approximation=0.072).
Conclusions. The findings are in line with increasing evidence suggesting that the AUDIT measures three separate factors related to alcohol misuse level of consumption, dependence and alcohol-related consequences and support the utility of AUDIT as a screening instrument for alcohol use disorder in AMD patients in Lithuania.
Original languageEnglish
Article numberagaa118
Pages (from-to)109–115
Number of pages7
JournalAlcohol and Alcoholism
Volume56
Issue number1
Early online date16 Nov 2020
DOIs
Publication statusPublished - 1 Jan 2021

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