Exploration of mood spectrum symptoms during a major depressive episode: The impact of contrapolarity—Results from a transdiagnostic cluster analysis on an Italian sample of unipolar and bipolar patients

Author:

Mineo LudovicoORCID,Rodolico AlessandroORCID,Spedicato Giorgio AlfredoORCID,Aguglia AndreaORCID,Bolognesi Simone,Concerto CarmenORCID,Cuomo Alessandro,Goracci Arianna,Maina Giuseppe,Fagiolini AndreaORCID,Amore Mario,Aguglia Eugenio

Abstract

AbstractBackgroundSubthreshold hypomania during a major depressive episode challenges the bipolar-unipolar dichotomy. In our study we employed a cross-diagnostic cluster analysis - to identify distinct subgroups within a cohort of depressed patients.MethodsA k-means cluster analysis— based on the domain scores of the Mood Spectrum Self-Report (MOODS-SR) questionnaire—was performed on a data set of 300 adults with either bipolar or unipolar depression. After identifying groups, between-clusters comparisons were conducted on MOODS-SR domains and factors and on a set of sociodemographic, clinical and psychometric variables.ResultsThree clusters were identified: one with intermediate depressive and poor manic symptomatology (Mild), one with severe depressive and poor manic symptomatology (Moderate), and a third one with severe depressive and intermediate manic symptomatology (Mixed). Across the clusters, bipolar patients were significantly less represented in the Mild one, while the DSM-5 “Mixed features” specifier did not differentiate the groups. When compared to the other patients, those of Mixed cluster exhibited a stronger association with most of the illness-severity, quality of life, and outcomes measures considered. After performing pairwise comparisons significant differences between “Mixed” and “Moderate” clusters were restricted to: current and disease-onset age, psychotic ideation, suicidal attempts, hospitalization numbers, impulsivity levels and comorbidity for Cluster B personality disorder.ConclusionsIn the present study, a clustering approach based on a spectrum exploration of mood symptomatology led to the identification of three transdiagnostic groups of patients. Consistent with our hypothesis, the magnitude of subthreshold (hypo)manic symptoms was related to a greater clinical severity, regardless of the main categorical diagnosis.

Publisher

Royal College of Psychiatrists

Subject

Psychiatry and Mental health

Reference80 articles.

1. Borderline personality disorder and bipolar disorder comorbidity in suicidal patients: diagnostic and therapeutic challenges;Marcinko;Psychiatr Danub.,2009

2. [45] Nykodym, T , Kraljevic, T , Hussami, N , Rao, A , Wang, A. Generalized linear modeling with H2O. Mountain View, CA: H2O.ai; 2021; http://h2o.ai/resources/

3. Differentiating the bipolar disorders from borderline personality disorder

4. Phenomenology of mixed states: a principal component analysis study

5. Mixed States: Beyond Depression and Mania

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3