Course trajectories of unipolar depressive disorders identified by latent class growth analysis

Published on Jul 1, 2012in Psychological Medicine 5.47
· DOI :10.1017/S0033291711002509
Didi Rhebergen12
Estimated H-index: 12
(VU University Medical Center),
Femke Lamers24
Estimated H-index: 24
(VU University Medical Center)
+ 3 AuthorsBrenda W. J. H. Penninx123
Estimated H-index: 123
(VU University Medical Center)
Abstract
Background Current classification of unipolar depression reflects the idea that prognosis is essential. However, do DSM categories of major depressive disorder (MDD), dysthymic disorder (Dysth) and double depression (DD=MDD+Dysth) indeed adequately represent clinically relevant course trajectories of unipolar depression? Our aim was to test DSM categories (MDD, Dysth and DD) in comparison with empirically derived prognostic categories, using a prospectively followed cohort of depressed patients.Method A large sample (n=804) of out-patients with unipolar depression were derived from a prospective cohort study, the Netherlands Study of Depression and Anxiety (NESDA). Using latent class growth analysis (LCGA), empirically derived 2-year course trajectories were constructed. These were compared with DSM diagnoses and a wider set of putative predictors for class membership.Results Five course trajectories were identified, ranging from mild severity and rapid remission to high severity and chronic course trajectory. Contrary to expectations, more than 50% of Dysth and DD were allocated to classes with favorable course trajectories, suggesting that current DSM categories do not adequately represent course trajectories. The class with the most favorable course trajectory differed on several characteristics from other classes (younger age, more females, less childhood adversity, less somatic illnesses, lower neuroticism, higher extraversion). Older age, earlier age of onset and lower extraversion predicted poorest course trajectory.Conclusions MDD, Dysth and DD did not adequately match empirically derived course trajectories for unipolar depression. For the future classification of unipolar depression, it may be wise to retain the larger, heterogeneous category of unipolar depression, adopting cross-cutting dimensions of severity and duration to further characterize patients. © 2011 Cambridge University Press.
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  • Citations (40)
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References47
Published on Feb 1, 2008in Journal of the American Geriatrics Society 4.16
Donald H. Taylor36
Estimated H-index: 36
,
Michael Ezell2
Estimated H-index: 2
+ 2 AuthorsElizabeth C. Clipp42
Estimated H-index: 42
There is great interest in understanding how human processes (biological, social, behavioral) develop or change over time. Development of statistical procedures that take advantage of data sources with repeated measures has accelerated in recent years, allowing for empirical estimation of many such phenomenon.1,2 This article applies such a statistical procedure, Latent Class Trajectory Analysis (LCTA), to the problem of identifying the effect of spousal caregiving on caregiver depressive sympto...
42 Citations Source Cite
Jules Angst77
Estimated H-index: 77
(University of Zurich),
A. Dobler-Mikola2
Estimated H-index: 2
(University of Zurich)
A prospective study of depressive syndromes and diagnoses was performed among a young adult Swiss population with three interviews over 7 years. Different definitions of depressive states were used: on the one hand, depressive syndromes including mood disturbances of any severity, on the other, well-defined diagnoses of depression. Women were consistently overrepresented among subjects with depressive syndromes of some length and among those with DSM-III major depressive disorder. Both sexes app...
379 Citations Source Cite
Published on Nov 1, 2002in Comprehensive Psychiatry 2.13
Stewart A. Shankman23
Estimated H-index: 23
(Stony Brook University),
Daniel N. Klein71
Estimated H-index: 71
(Stony Brook University)
Abstract It has long been debated whether depression is best classified with a categorical or dimensional diagnostic system. There has been surprisingly little discussion, however, of what the contents of a dimensional classification should include, with most studies employing a single dimension based on symptom severity. The present study explored whether a dimension based on prior course of depression increases the validity of a dimensional model based on symptom severity alone and whether the...
17 Citations Source Cite
Published on Aug 1, 2005in Journal of Abnormal Psychology 4.64
Mike Stoolmiller47
Estimated H-index: 47
,
Hyoun Kyoung Kim25
Estimated H-index: 25
,
Deborah M. Capaldi44
Estimated H-index: 44
Heterogeneity in the longitudinal course of depressive symptoms was studied through the use of general growth mixture modeling for young men in the Oregon Youth Study (N = 206), who ranged in age from 15 to 24 years. Four trajectory classes were identified: the very-low, the moderate-decreasing, the high-decreasing, and the high-persistent classes. The 3 lowest classes differed primarily quantitatively with the initial level or mean level across time being the major determinant of class differen...
115 Citations Source Cite
Published on May 1, 2010in Comprehensive Psychiatry 2.13
Thomas M. Olino30
Estimated H-index: 30
(Stony Brook University),
Daniel N. Klein71
Estimated H-index: 71
(Stony Brook University)
+ 2 AuthorsJohn R. Seeley78
Estimated H-index: 78
(Oregon Research Institute)
Abstract This study used person-oriented analyses to identify subgroups of individuals who exhibit different patterns of depressive and anxiety disorders over the course of adolescence and young adulthood. Using latent class growth analysis, six trajectory classes were identified. Two classes were mainly characterized by depressive disorders; one class was mainly characterized by anxiety disorders; two classes were characterized by temporally different patterns of comorbidity; and one class was ...
64 Citations Source Cite
Published on Feb 1, 1995in Journal of Personality Assessment 2.34
Paul T. Costa19
Estimated H-index: 19
(National Institutes of Health),
Robert R. McCrae102
Estimated H-index: 102
(National Institutes of Health)
Personality traits are organized hierarchically, with narrow, specific traits combining to define broad, global factors. The Revised NEO Personality Inventory (NEO-PI-R; Costa & McCrae, 1992c) assesses personality at both levels, with six specific facet scales in each of five broad domains. This article describes conceptual issues in specifying facets of a domain and reports evidence on the validity of NEO-PI-R facet scales. Facet analysis—the interpretation of a scale in terms of the specific f...
1,068 Citations Source Cite
Published on May 1, 1996in Psychological Medicine 5.47
Rush Aj7
Estimated H-index: 7
(University of Texas Southwestern Medical Center),
Christina M. Gullion13
Estimated H-index: 13
(University of Texas Southwestern Medical Center)
+ 2 AuthorsMadhukar H. Trivedi86
Estimated H-index: 86
(University of Texas Southwestern Medical Center)
The psychometric properties of the 28- and 30-item versions of the Inventory of Depressive Symptomatology, Clinician-Rated (IDS-C) and Self-Report (IDS-SR) are reported in a total of 434 (28-item) and 337 (30-item) adult out-patients with current major depressive disorder and 118 adult euthymic subjects (15 remitted depressed and 103 normal controls). Cronbach's α ranged from 0.92 to 0.94 for the total sample and from 0.76 to 0.82 for those with current depression. Item total correlations, as we...
1,264 Citations Source Cite
Published on Dec 1, 2010in BMC Public Health 2.42
Anni Skipstein5
Estimated H-index: 5
,
Harald Janson7
Estimated H-index: 7
+ 1 AuthorsKristin S. Mathiesen12
Estimated H-index: 12
Background There is a lack of population-based studies of developmental trajectories following mothers throughout the whole child-rearing phase and there are few longitudinal studies focusing on both symptoms of depression and anxiety. The aim of the current study is to identify latent trajectory groups based on counts of symptoms of anxiety and depression among mothers throughout the child-rearing phase and the relations of the latent groups to maternal socio-demographic variables.
33 Citations Source Cite
Published on May 1, 2009in Journal of Affective Disorders 3.79
Jules Angst77
Estimated H-index: 77
(University of Zurich),
Alex Gamma45
Estimated H-index: 45
(University of Zurich)
+ 2 AuthorsDaniel N. Klein71
Estimated H-index: 71
(University of Zurich)
Abstract Background Clinical studies have demonstrated a great clinical relevance of long-term depression (LTD). Our study aims to characterise LTD in comparison with episodic (non-chronic) major depressive episodes (MDE) on the basis of data from a community sample. Method The Zurich Cohort Study is a prospective study of young adults followed from age 20/21 to 40/41 with six interviews. The stratified sample consisted of two thirds high scorers and one third lower scorers on the Symptom Checkl...
82 Citations Source Cite
Published on Dec 1, 2007in Biological Psychiatry 11.98
Ian Colman31
Estimated H-index: 31
(University of Cambridge),
George B. Ploubidis23
Estimated H-index: 23
(University of Cambridge)
+ 2 AuthorsTim Croudace43
Estimated H-index: 43
(University of Cambridge)
BACKGROUND: Little is known about long-term profiles of depressive and anxious symptomatology over the life course and about the developmental determinants of different trajectories. The objective of this study was to identify a novel typology of symptoms of depression and anxiety over the life course and examine its neurodevelopmental antecedents in an epidemiological sample. METHODS: A longitudinal latent variable analysis was conducted on measures of anxious and depressive symptoms at ages 13...
113 Citations Source Cite
Cited By40
Published on Oct 1, 2013in Journal of Affective Disorders 3.79
Mauro García-Toro15
Estimated H-index: 15
,
Jose M. Rubio7
Estimated H-index: 7
(Columbia University)
+ 5 AuthorsCarlos Blanco60
Estimated H-index: 60
(Columbia University)
Abstract Background Chronic major depressive disorder (CMDD) is highly prevalent and associated with high personal and societal cost. Identifying risk factors for persistence and remission of CMDD may help in developing more effective treatment and prevention interventions. Methods Prospective cohort study of individuals participating in the National Epidemiologic Survey on Alcohol and Related Conditions (Wave 1; n =43,093) and its 3-year follow-up (Wave 2; n =34,653) who met a diagnosis of CMDD...
20 Citations Source Cite
Published on Nov 1, 2012in British Journal of Psychiatry 5.87
Ian M. Goodyer57
Estimated H-index: 57
(University of Cambridge)
Despite available therapies, mental disorders are the predominant chronic diseases of young people. Increasing the validity of descriptive psychiatry is now essential. Mathematical approaches can help characterise clinical phenotypes and aid both causal research and therapeutics in the community and the clinic.
7 Citations Source Cite
Published on Jan 1, 2015in Journal of Abnormal Child Psychology 3.29
Emily C. Cook10
Estimated H-index: 10
(Rhode Island College),
Jacqueline C. Pflieger4
Estimated H-index: 4
(SRA International)
+ 1 AuthorsChristian M. Connell19
Estimated H-index: 19
(Yale University)
Latent transition analysis was used to identify patterns and trajectories of antisocial behavior (ASB) and their association with young adult outcomes in a nationally representative sample of adolescents (N = 5,422; 53.9 % female). Participants were on average 13.96 years of age (SD = 1.06) at wave 1 of the study. Latent class analysis identified four classes of ASB including a non-ASB class, an aggressive class, a petty theft class, and a serious ASB class. In general, youth who were classified...
12 Citations Source Cite
Published on Jun 1, 2014in Social Psychiatry and Psychiatric Epidemiology 2.92
Esme Fuller-Thomson26
Estimated H-index: 26
(University of Toronto),
Marla Battiston2
Estimated H-index: 2
(University of Toronto)
+ 1 AuthorsSarah Brennenstuhl19
Estimated H-index: 19
(University of Toronto)
Purpose This study sought to investigate time to remission from depression in a community-based sample of adults followed for 12 years.
13 Citations Source Cite
Published on Aug 1, 2015in Biological Psychiatry 11.98
Lianne Schmaal21
Estimated H-index: 21
(VU University Medical Center),
Andre F. Marquand28
Estimated H-index: 28
(Radboud University Nijmegen)
+ 5 AuthorsBrenda W. J. H. Penninx123
Estimated H-index: 123
(VU University Medical Center)
Background A chronic course of major depressive disorder (MDD) is associated with profound alterations in brain volumes and emotional and cognitive processing. However, no neurobiological markers have been identified that prospectively predict MDD course trajectories. This study evaluated the prognostic value of different neuroimaging modalities, clinical characteristics, and their combination to classify MDD course trajectories.
23 Citations Source Cite
Published on Jul 1, 2015in Journal of Affective Disorders 3.79
Klaas J. Wardenaar16
Estimated H-index: 16
(University of Groningen),
Rei Monden3
Estimated H-index: 3
(University of Groningen)
+ 1 AuthorsPeter de Jonge53
Estimated H-index: 53
(University of Groningen)
Abstract Background The course-heterogeneity of Major Depressive Disorder (MDD) hampers development of better prognostic models. Although latent class growth analyses (LCGA) have been used to explain course-heterogeneity, such analyses have failed to also account for symptom-heterogeneity of depressive symptoms. Therefore, the aim was to identify more specific data-driven subgroups based on patterns of course-trajectories on different depressive symptom domains. Methods In primary care MDD patie...
15 Citations Source Cite
Published on May 4, 2014in Journal of Personality Assessment 2.34
Thomas M. Olino30
Estimated H-index: 30
(University of Pittsburgh),
Stephanie D. Stepp27
Estimated H-index: 27
(University of Pittsburgh)
+ 2 AuthorsAlison E. Hipwell35
Estimated H-index: 35
(University of Pittsburgh)
Longitudinal mixture models have become popular in the literature. However, modest attention has been paid to whether these models provide a better fit to the data than growth models. Here, we compared longitudinal mixture models to growth models in the context of changes in depression and anxiety symptoms in a community sample of girls from age 10 to 17. Model comparisons found that the preferred solution was a 5-class parallel process growth mixture model that differed in the course of depress...
5 Citations Source Cite
Published on Jun 1, 2013in Journal of Affective Disorders 3.79
Jane Gunn Mbbs37
Estimated H-index: 37
(University of Melbourne),
Peter Elliott25
Estimated H-index: 25
(University of Melbourne)
+ 7 AuthorsFrances Griffiths27
Estimated H-index: 27
(University of Warwick)
Abstract Background Depression screening in primary care yields high numbers. Knowledge of how depressive symptoms change over time is limited, making decisions about type, intensity, frequency and length of treatment and follow-up difficult. This study is aimed to identify depressive symptom trajectories and associated socio–demographic, co-morbidity, health service use and treatment factors to inform clinical care. Methods 789 people scoring 16 or more on the CES-D recruited from 30 randomly s...
23 Citations Source Cite
Published on Jun 1, 2015in International Journal of Social Psychiatry 1.61
Tae Yeon Kwon1
Estimated H-index: 1
(Sun Moon University)
BACKGROUND: Longitudinal research is needed to examine the depressive symptom trajectories of different groups during adulthood and their antecedents and consequences, because depressive symptoms may be changeable and heterogeneous over time. Aims: This study examined the number of trajectory groups describing the depressive symptoms of Korean adults, as well as the shape of the trajectories and the association between trajectory group membership and psychosocial factors identified based on the ...
2 Citations Source Cite
Published on Jan 1, 2014in Journal of Affective Disorders 3.79
M.J.H. Huibers31
Estimated H-index: 31
(Maastricht University),
Breukelen van Gerard J. P40
Estimated H-index: 40
(Maastricht University)
+ 5 AuthorsFrenk Peeters33
Estimated H-index: 33
(Maastricht University)
Abstract Background Identifying patient characteristics that predict response within treatments (prognostic) or between treatments (prescriptive) can inform clinical decision-making. In this study, we sought to identify predictors of response to evidence-based treatments in a sample of depressed patients seeking help in routine practice. Methods Data come from a pragmatic trial of 174 patients with major depression who received an evidence-based treatment of their own choice: cognitive therapy (...
3 Citations Source Cite