Literature DB >> 10814765

Understanding the heterogeneity of depression through the triad of symptoms, course and risk factors: a longitudinal, population-based study.

L Chen1, W W Eaton, J J Gallo, G Nestadt.   

Abstract

BACKGROUND: There is an ongoing research effort to test if depression is a homogeneous clinical syndrome and to identify valid and useful subtypes based on the number and nature of depressive symptoms. This study summarizes the patterns of depressive symptoms evident in a prospective study of the general population and examines the validity of potential subtypes by studying their course and etiologic heterogeneity.
METHODS: A general population sample of 1920 adults (aged 18-96) from the Baltimore Epidemiologic Catchment Area (ECA) follow-up study (1981 to 1993/6) were examined. Data on diagnoses, symptoms, course and risk factors were collected using the Diagnostic Interview Schedule (DIS). Latent class analysis was applied to summarize symptom patterns. Course characteristics and risk factor profiles were compared among potential subtypes based on the number of symptom groups or symptom patterns. Logistic regression models were used to examine the etiologic heterogeneity among potential subtypes based on symptoms.
RESULTS: The number of symptom groups gave the most efficient insight into differential etiologic processes. Severe depression (7-9 symptom groups) was associated with female gender, family history of depression but not with stressful life events before the onset of the first episode. Moderate (5-6 symptom groups) and mild depression (3-4 symptom groups) were associated with family history of depression, stressful life events before the onset, but not with female gender. The latent class model generated patterns of depressive psychopathology as follows: anhedonia, suicidal, psychomotor, and severely depressed subtypes. The Anhedonia subtype showed a course and risk factor profile distinct from the others. LIMITATIONS: The measurement of psychopathology was based on self-reported DIS interviews instead of psychiatric assessments. Recall or report bias cannot be excluded in the ascertainment of family history and stressful life events.
CONCLUSIONS: Depression is heterogeneous, even below the threshold of syndromal diagnosis. The severity of an episode appears to be more informative than the pattern of symptoms, with the possible exception of a putative anhedonic subtype.

Entities:  

Mesh:

Year:  2000        PMID: 10814765     DOI: 10.1016/s0165-0327(99)00132-9

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


  52 in total

1.  Latent class-derived subgroups of depressive symptoms in a community sample of older adults: the Cache County Study.

Authors:  Chien-Ti Lee; Jeannie-Marie Leoutsakos; Constantine G Lyketsos; David C Steffens; John C S Breitner; Maria C Norton
Journal:  Int J Geriatr Psychiatry       Date:  2011-12-02       Impact factor: 3.485

2.  Using a Bayesian latent growth curve model to identify trajectories of positive affect and negative events following myocardial infarction.

Authors:  Michael R Elliott; Joseph J Gallo; Thomas R Ten Have; Hillary R Bogner; Ira R Katz
Journal:  Biostatistics       Date:  2005-01       Impact factor: 5.899

3.  The course of depressive symptoms in men from early adolescence to young adulthood: identifying latent trajectories and early predictors.

Authors:  Mike Stoolmiller; Hyoun K Kim; Deborah M Capaldi
Journal:  J Abnorm Psychol       Date:  2005-08

4.  Pre-ejection period reactivity to reward is associated with anhedonic symptoms of depression among adolescents.

Authors:  Joshua J Ahles; Amy H Mezulis; Sheila E Crowell
Journal:  Dev Psychobiol       Date:  2017-04-13       Impact factor: 3.038

5.  Socioeconomic status and depressive syndrome: the role of inter- and intra-generational mobility, government assistance, and work environment.

Authors:  W W Eaton; C Muntaner; G Bovasso; C Smith
Journal:  J Health Soc Behav       Date:  2001-09

6.  Applying network analysis to psychological comorbidity and health behavior: Depression, PTSD, and sexual risk in sexual minority men with trauma histories.

Authors:  Karmel W Choi; Abigail W Batchelder; Peter P Ehlinger; Steven A Safren; Conall O'Cleirigh
Journal:  J Consult Clin Psychol       Date:  2017-12

7.  Searching for valid psychiatric phenotypes: discrete latent variable models.

Authors:  Jeannie-Marie S Leoutsakos; Peter P Zandi; Karen Bandeen-Roche; Constantine G Lyketsos
Journal:  Int J Methods Psychiatr Res       Date:  2010-06       Impact factor: 4.035

8.  Dimensions in major depressive disorder and their relevance for treatment outcome.

Authors:  Elske Vrieze; Koen Demyttenaere; Ronny Bruffaerts; Dirk Hermans; Diego A Pizzagalli; Pascal Sienaert; Titia Hompes; Peter de Boer; Mark Schmidt; Stephan Claes
Journal:  J Affect Disord       Date:  2013-10-19       Impact factor: 4.839

9.  Deconstructing major depression: a validation study of the DSM-IV symptomatic criteria.

Authors:  V Lux; K S Kendler
Journal:  Psychol Med       Date:  2010-01-11       Impact factor: 7.723

10.  Tri-city study of Ecstasy use problems: a latent class analysis.

Authors:  Lawrence M Scheier; Arbi Ben Abdallah; James A Inciardi; Jan Copeland; Linda B Cottler
Journal:  Drug Alcohol Depend       Date:  2008-07-31       Impact factor: 4.492

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.