Cluster analysis of patients with alcohol use disorder featuring alexithymia, depression, and diverse drinking behavior

Abstract

Abstract Aim This study aimed to identify subgroups of alcohol use disorder (AUD) based on a multidimensional combination of alexithymia, depression, and diverse drinking behavior. Method We recruited 176 patients with AUD, which were initially divided into non‐alexithymic (n = 130) and alexithymic (n = 46) groups using a cutoff score of 61 on the Toronto Alexithymia Scale (TAS‐20). Subsequently, the profiles of the two groups were compared. Thereafter, a two‐stage cluster analysis using hierarchical and K‐means methods was performed with the Z‐scores from the TAS‐20, the Quick Inventory of Depressive Symptomatology Self‐Report Japanese Version, the 12‐item questionnaire for quantitative assessment of depressive mixed state, and the 20‐item questionnaire for drinking behavior pattern. Results In the first analysis, Alexithymic patients with AUD showed greater depressive symptoms and more pathological drinking behavior patterns than those without alexithymia. Cluster analysis featuring alexithymia, depression, and drinking behavior identified three subtypes: Cluster 1 (core AUD type) manifesting pathological drinking behavior highlighting automaticity; Cluster 2 (late‐onset type) showing relatively late‐onset alcohol use and fewer depressive symptoms or pathological drinking behavior; and Cluster 3 (alexithymic type) characterized by alexithymia, depression, and pathological drinking behavior featuring greater coping with negative affect. Conclusion The multidimensional model with alexithymia, depression, and diverse drinking behavior provided possible practical classification of AUD. The alexithymic subtype may require more caution, and additional support for negative affect may be necessary due to accompanying mood problems and various maladaptive drinking behaviors.

Keywords

• alcohol drinking habits
• alcohol use disorder
• alexithymia
• cluster analysis
• depression