Literature DB >> 25012426

Lifetime mood spectrum symptoms among bipolar patients and healthy controls: a cross sectional study with the Mood Spectrum Self-Report questionnaire.

Amna A Ghouse1, Marsal Sanches1, Giovana B Zunta-Soares1, Jair C Soares2.   

Abstract

BACKGROUND: The "spectrum" model has advantages for the conceptualization of mental disorders, representing a complementary approach to the currently available categorical systems. We carried out a study in order to assess lifetime mood symptoms among patients with bipolar disorder (BD) and healthy controls from a dimensional perspective.
METHODS: The Mood Spectrum Self-Report instrument (MOODS-SR) was administered to 101 bipolar patients (52 BD I, 32 BD II, and 17 BD NOS, 36 males/65 females, mean age+SD=36.10±13.34 years) and 38 healthy controls (16 males/22females, mean age+SD=35.18±13.70 years). The scores of the different MOOD-SR scales and subscales among patients and controls were compared using non-parametric tests (Mann-Whitney and Kruskal-Wallis).
RESULTS: Bipolar patients scored significantly higher than healthy controls on the total MOOD-SR scores (BD: mean±SD=98.65±22.17; HC: mean±SD=12.92±10.72; p<0.01) and all subdomains. Multiple comparisons revealed lower scores among controls when compared to each one of the subtypes of BD, also regarding the total scores and all subdomains (p<0.01). Comparisons across the different subtypes of BD revealed statistically significant higher scores among BD I patients when compared to BD II and BD NOS patients, only in regard to the total MOOD-SR scores (BD I: mean±SD=102.94±22.79; BD II: mean±SD=93.53±21.97; BD NOS: mean±SD= 94.88±18.68; p=0.03) and two subdomains: mood mania and energy mania.
CONCLUSIONS: These results, although preliminary, suggest that even though the MOODS-SR seems effective in distinguishing BD patients from HC, it is not as good in discriminating different subtypes of BD, especially in respect to lifetime depressive symptoms. LIMITATIONS: Our sample size was small, and comprised by outpatients. The MOOD-SR measures only lifetime symptoms and does not take into account the progression of mood symptoms or the current mood state of patients.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bipolar disorder; Diagnosis; Mood disorder; Mood spectrum

Mesh:

Year:  2014        PMID: 25012426      PMCID: PMC4406378          DOI: 10.1016/j.jad.2014.04.064

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  17 in total

Review 1.  Conceptual underpinnings and empirical support for the mood spectrum.

Authors:  Giovanni B Cassano; Ellen Frank; Mario Miniati; Paola Rucci; Andrea Fagiolini; Stefano Pini; M Katherine Shear; Jack D Maser
Journal:  Psychiatr Clin North Am       Date:  2002-12

2.  Diagnosing bipolar disorder: how can we do it better?

Authors:  Michael Berk; Lesley Berk; Kirsteen Moss; Seetal Dodd; Gin S Malhi
Journal:  Med J Aust       Date:  2006-05-01       Impact factor: 7.738

3.  Psychosocial disability in the course of bipolar I and II disorders: a prospective, comparative, longitudinal study.

Authors:  Lewis L Judd; Hagop S Akiskal; Pamela J Schettler; Jean Endicott; Andrew C Leon; David A Solomon; William Coryell; Jack D Maser; Martin B Keller
Journal:  Arch Gen Psychiatry       Date:  2005-12

Review 4.  The evolving bipolar spectrum. Prototypes I, II, III, and IV.

Authors:  H S Akiskal; O Pinto
Journal:  Psychiatr Clin North Am       Date:  1999-09

5.  The HCL-32: towards a self-assessment tool for hypomanic symptoms in outpatients.

Authors:  Jules Angst; Rolf Adolfsson; Franco Benazzi; Alex Gamma; Elie Hantouche; Thomas D Meyer; Peter Skeppar; Eduard Vieta; Jan Scott
Journal:  J Affect Disord       Date:  2005-10       Impact factor: 4.839

Review 6.  The bipolar spectrum: a clinical reality in search of diagnostic criteria and an assessment methodology.

Authors:  G B Cassano; L Dell'Osso; E Frank; M Miniati; A Fagiolini; K Shear; S Pini; J Maser
Journal:  J Affect Disord       Date:  1999-08       Impact factor: 4.839

7.  Sensitivity and specificity of a new bipolar spectrum diagnostic scale.

Authors:  S Nassir Ghaemi; Christopher J Miller; Douglas A Berv; Jeffry Klugman; Klara J Rosenquist; Ronald W Pies
Journal:  J Affect Disord       Date:  2005-02       Impact factor: 4.839

8.  The emerging epidemiology of hypomania and bipolar II disorder.

Authors:  J Angst
Journal:  J Affect Disord       Date:  1998-09       Impact factor: 4.839

9.  The many forms of bipolar disorder: a modern look at an old illness.

Authors:  P Thomas
Journal:  J Affect Disord       Date:  2004-04       Impact factor: 4.839

10.  The National Depressive and Manic-depressive Association (DMDA) survey of bipolar members.

Authors:  J D Lish; S Dime-Meenan; P C Whybrow; R A Price; R M Hirschfeld
Journal:  J Affect Disord       Date:  1994-08       Impact factor: 4.839

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  3 in total

1.  Mood Spectrum Model: Evidence reconsidered in the light of DSM-5.

Authors:  Antonella Benvenuti; Mario Miniati; Antonio Callari; Michela Giorgi Mariani; Mauro Mauri; Liliana Dell'Osso
Journal:  World J Psychiatry       Date:  2015-03-22

2.  Predicting Bipolar Disorder Risk Factors in Distressed Young Adults From Patterns of Brain Activation to Reward: A Machine Learning Approach.

Authors:  Leticia de Oliveira; Liana C L Portugal; Mirtes Pereira; Henry W Chase; Michele Bertocci; Richelle Stiffler; Tsafrir Greenberg; Genna Bebko; Jeanette Lockovich; Haris Aslam; Janaina Mourao-Miranda; Mary L Phillips
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2019-04-17

3.  Swedish Version of Mood Spectrum Self-Report Questionnaire: Psychometric Properties of Lifetime and Last-week Version.

Authors:  Michael Ioannou; Marzia Dellepiane; Antonella Benvenuti; Konstantinos Feloukatzis; Nektaria Skondra; Liliana Dell'Osso; Steinn Steingrímsson
Journal:  Clin Pract Epidemiol Ment Health       Date:  2016-03-31
  3 in total

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