BACKGROUND: Identifying depressive subtypes is an important tool in reducing the heterogeneity of major depressive disorder. However, few studies have examined the stability of putative subtypes of depression over time. METHOD: The sample included 488 persons from the Netherlands Study of Depression and Anxiety (NESDA) who had major depressive disorder at baseline and at the 2-year follow-up assessment. A latent transition analysis (LTA) was applied to examine the stability of depressive subtypes across time-points. Differences in demographic, clinical, psychosocial and health correlates between subtypes were evaluated in a subsample of persons with stable subtypes. RESULTS: Three subtypes were identified at each time-point: a moderate subtype (prevalence T0 39%, T1 42%), a severe typical subtype (T0 30%, T1 25%), and a severe atypical subtype (T0 31%, T1 34%). The LTA showed 76% stability across the 2-year follow-up, with the greatest stability in the severe atypical class (79%). Analyses of correlates in the stable subtypes showed a predominance of women and more overweight and obesity in the severe atypical subtype, and a greater number of negative life events and higher neuroticism and functioning scores in the severe typical subtype. CONCLUSIONS: Subtypes of major depressive disorder were found to be stable across a 2-year follow-up and to have distinct determinants, supporting the notion that the identified subtypes are clinically meaningful.
BACKGROUND: Identifying depressive subtypes is an important tool in reducing the heterogeneity of major depressive disorder. However, few studies have examined the stability of putative subtypes of depression over time. METHOD: The sample included 488 persons from the Netherlands Study of Depression and Anxiety (NESDA) who had major depressive disorder at baseline and at the 2-year follow-up assessment. A latent transition analysis (LTA) was applied to examine the stability of depressive subtypes across time-points. Differences in demographic, clinical, psychosocial and health correlates between subtypes were evaluated in a subsample of persons with stable subtypes. RESULTS: Three subtypes were identified at each time-point: a moderate subtype (prevalence T0 39%, T1 42%), a severe typical subtype (T0 30%, T1 25%), and a severe atypical subtype (T0 31%, T1 34%). The LTA showed 76% stability across the 2-year follow-up, with the greatest stability in the severe atypical class (79%). Analyses of correlates in the stable subtypes showed a predominance of women and more overweight and obesity in the severe atypical subtype, and a greater number of negative life events and higher neuroticism and functioning scores in the severe typical subtype. CONCLUSIONS: Subtypes of major depressive disorder were found to be stable across a 2-year follow-up and to have distinct determinants, supporting the notion that the identified subtypes are clinically meaningful.
Authors: Y Milaneschi; F Lamers; W J Peyrot; A Abdellaoui; G Willemsen; J-J Hottenga; R Jansen; H Mbarek; A Dehghan; C Lu; D I Boomsma; B W J H Penninx Journal: Mol Psychiatry Date: 2015-06-30 Impact factor: 15.992
Authors: Bauke T Stegenga; Mirjam I Geerlings; Francisco Torres-González; Miguel Xavier; Igor Svab; Brenda W Penninx; Irwin Nazareth; Michael King Journal: Soc Psychiatry Psychiatr Epidemiol Date: 2012-11-21 Impact factor: 4.328
Authors: Yuri Milaneschi; Femke Lamers; Wouter J Peyrot; Bernhard T Baune; Gerome Breen; Abbas Dehghan; Andreas J Forstner; Hans J Grabe; Georg Homuth; Carol Kan; Cathryn Lewis; Niamh Mullins; Matthias Nauck; Giorgio Pistis; Martin Preisig; Margarita Rivera; Marcella Rietschel; Fabian Streit; Jana Strohmaier; Alexander Teumer; Sandra Van der Auwera; Naomi R Wray; Dorret I Boomsma; Brenda W J H Penninx Journal: JAMA Psychiatry Date: 2017-12-01 Impact factor: 21.596
Authors: Stephanie Rodgers; Martin Grosse Holtforth; Michael P Hengartner; Mario Müller; Aleksandra A Aleksandrowicz; Wulf Rössler; Vladeta Ajdacic-Gross Journal: Front Psychiatry Date: 2015-05-04 Impact factor: 4.157