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 DSM-5. The MINI International Neuropsychiatric Interview was used for current diagnosis of alcohol use disorder (AUD). 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 AUD 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 AUD in AMD patients in Lithuania.
Subject(s)
Alcoholism/diagnosis , Anxiety Disorders/psychology , Mood Disorders/psychology , Adult , Alcoholism/psychology , Depressive Disorder, Major/psychology , Diagnosis, Dual (Psychiatry) , Factor Analysis, Statistical , Female , Humans , Lithuania , Male , Mass Screening , Middle Aged , Reproducibility of Results , Surveys and Questionnaires , Young AdultABSTRACT
OBJECTIVES: Patients with obsessive compulsive disorder (OCD) frequently show traits of autism spectrum disorders (ASD). This is one of the first studies to explore the clinical impact of the overlap between OCD and ASD as a categorical diagnosis. METHODS: A cross-sectional survey in 73 adult outpatients with DSM-IV OCD. Autistic traits were measured using the Autism-Spectrum Quotient (AQ). A clinical estimate ASD diagnosis was made by interview using DSM-IV-TR criteria. OCD patients with and without autistic traits or ASD were compared on demographic and clinical parameters and level of OCD treatment-resistance based on treatment history. RESULTS: Thirty-four (47%) patients scored above the clinical threshold on the AQ (≥26) and 21 (27.8%) met diagnostic criteria for ASD. These diagnoses had not been made before. Patients with autistic traits showed a borderline significant increase in OCD symptom-severity (Yale-Brown Obsessive Compulsive Scale (Y-BOCS); p = .054) and significantly increased impairment of insight (Brown Assessment of Beliefs Scale; p = .01). There was a positive correlation between AQ and Y-BOCS scores (p = .04), but not with OCD treatment resistance. CONCLUSION: There is a high prevalence of previously undiagnosed ASD in patients with OCD. ASD traits are associated with greater OCD symptom-severity and poor insight.
