title: Mood Spectrum Model: Evidence reconsidered in the light of DSM-5.
abstract: OBJECTIVE
  to investigate studies conducted with the Mood Spectrum Structured Interviews and Self-Report versions (SCI-MOODS and MOODS-SR).
  
  
  METHODS
  We conducted a review of studies published between 1997 and August 2014. The search was performed using Pubmed and PsycINFO databases. Analysis of the papers followed the inclusion and exclusion criteria recommended by the PRISMA Guidelines, namely: (1) articles that presented a combination of at least two terms, "SCI-MOODS" [all fields] or "MOODS-SR" [all fields] or "mood spectrum" [all fields]; (2) manuscript in English; (3) original articles; and (4) prospective or retrospective original studies (analytical or descriptive), experimental or quasi-experimental studies. Exclusion criteria were: (1) other study designs (case reports, case series, and reviews); (2) non-original studies including editorials, book reviews and letters to the editor; and (3) studies not specifically designed and focused on SCI-MOODS or MOODS-SR.
  
  
  RESULTS
  The search retrieved 43 papers, including 5 reviews of literature or methodological papers, and 1 case report. After analyzing their titles and abstracts, according to the eligibility criteria, 6 were excluded and 37 were chosen and included. The SCI-MOODS and the MOODS-SR have been tested in published studies involving 52 different samples across 4 countries (Italy, United States, Spain and Japan). The proposed mood spectrum approach has demonstrated its usefulness mainly in 3 different areas: (1) Patients with the so-called "pure" unipolar depression that might manifest hypomanic atypical and/or sub-threshold aspects systematically detectable with the mood questionnaire; (2) Spectrum features not detected by other instruments are clinically relevant, because they might manifest in waves during the lifespan, sometimes together, sometimes alone, sometimes reaching the severity for a full-blown disorder, sometimes interfering with other mental disorders or complicating the course of somatic diseases; and (3) Higher scores on the MOODS-SR factors assessing "psychomotor disturbances", "mixed instability" and "suicidality" delineate subtypes of patients characterized by the more severe forms of mood disorders, the higher risk for psychotic symptoms, and the lower quality of life after the remission of the full-blown-episode.
  
  
  CONCLUSIONS
  The mood spectrum model help researchers and clinicians in the systematic assessment of those areas of psychopathology that are still neglected by the Diagnostic and Statistical Manual of Mental Disorders 5 classification.
authors: Antonella Benvenuti, Mario Miniati, Antonio Callari, Michela Giorgi Mariani, Mauro Mauri, Liliana Dell'Osso, Department of Clinical and Experimental Medicine, University of Pisa, 56100 Pisa, Italy.
authors: Antonella
authors: A
authors: Benvenuti
authors: Antonella Benvenuti, Mario Miniati, Antonio Callari, Michela Giorgi Mariani, Mauro Mauri, Liliana Dell'Osso, Department of Clinical and Experimental Medicine, University of Pisa, 56100 Pisa, Italy.
authors: Mario
authors: M
authors: Miniati
authors: Antonella Benvenuti, Mario Miniati, Antonio Callari, Michela Giorgi Mariani, Mauro Mauri, Liliana Dell'Osso, Department of Clinical and Experimental Medicine, University of Pisa, 56100 Pisa, Italy.
authors: Antonio
authors: A
authors: Callari
authors: Antonella Benvenuti, Mario Miniati, Antonio Callari, Michela Giorgi Mariani, Mauro Mauri, Liliana Dell'Osso, Department of Clinical and Experimental Medicine, University of Pisa, 56100 Pisa, Italy.
authors: Michela
authors: M
authors: Giorgi Mariani
authors: Antonella Benvenuti, Mario Miniati, Antonio Callari, Michela Giorgi Mariani, Mauro Mauri, Liliana Dell'Osso, Department of Clinical and Experimental Medicine, University of Pisa, 56100 Pisa, Italy.
authors: Mauro
authors: M
authors: Mauri
authors: Antonella Benvenuti, Mario Miniati, Antonio Callari, Michela Giorgi Mariani, Mauro Mauri, Liliana Dell'Osso, Department of Clinical and Experimental Medicine, University of Pisa, 56100 Pisa, Italy.
authors: Liliana
authors: L
authors: Dell'Osso
keywords: Bipolar; Categorical; Diagnostic and Statistical Manual of Mental Disorders 5; Dimensional; Mood disorders; Spectrum; Unipolar