A personality-based latent class typology of outpatients with major depressive disorder: association with symptomatology, prescription pattern and social function.

Abstract:

BACKGROUND:While major depressive disorder (MDD) is considered to be a heterogeneous disorder, the nature of the heterogeneity remains unclear. Studies have attempted to classify patients with MDD using latent variable techniques, yet the empirical approaches to symptom-based subtyping of MDD have not provided conclusive evidence. Here we aimed to identify homogeneous classes of MDD based on personality traits, using a latent profile analysis. METHODS:We studied 238 outpatients with DSM-IV MDD recruited from our specialized depression outpatient clinic and assessed their dimensional personality traits with the Temperament and Character Inventory. Latent profile analysis was conducted with 7 dimensions of the Temperament and Character Inventory as indicators. Relationships of the identified classes with symptomatology, prescription pattern, and social function were then examined. RESULTS:The latent profile analysis indicated that a 3-class solution best fit the data. Of the sample, 46.2% was classified into a "neurotic" group characterized by high harm avoidance and low self-directedness; 30.3% into an "adaptive" group characterized by high self-directedness and cooperativeness; and 23.5% into a "socially-detached" group characterized by low reward dependence and cooperativeness and high self-transcendence. The 2 maladaptive groups, namely neurotic and socially-detached groups, demonstrated unique patterns of symptom expression, different classes of psychotropic medication use, and lower social functioning. LIMITATIONS:Generalizability of the findings was limited since our patients were recruited from the specialized depression outpatient clinic. CONCLUSIONS:Our personality-based latent profile analysis identified clinically meaningful 3 MDD groups that were markedly different in their personality profiles associated with distinct symptomatology and functioning.

journal_name

J Affect Disord

authors

Hori H,Teraishi T,Nagashima A,Koga N,Ota M,Hattori K,Kim Y,Higuchi T,Kunugi H

doi

10.1016/j.jad.2017.03.053

subject

Has Abstract

pub_date

2017-08-01 00:00:00

pages

8-15

eissn

0165-0327

issn

1573-2517

pii

S0165-0327(16)32146-2

journal_volume

217

pub_type

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