Literature DB >> 24292327

The role of sex on stability and change of depression symptom subtypes over 20 years: a latent transition analysis.

Stephanie Rodgers1, Vladeta Ajdacic-Gross, Mario Müller, Michael P Hengartner, Martin Grosse Holtforth, Jules Angst, Wulf Rössler.   

Abstract

Prospective studies investigating the long-term stability of depression symptom subtypes are rare. Moreover, sex has received little attention as a predictor. This study aimed to investigate the role of sex on stability and transition patterns of depressive symptom subtypes over 20 years. The data were drawn from three follow-ups (1988, 1999, and 2008) of the longitudinal Zurich Study. Latent transition analyses were fitted to the data of 322 subjects, using depressive symptoms from the face-to-face interviews. The stable classes were characterized by psychosocial correlates. Three subtypes were identified: 'severe atypical,' 'severe typical,' and 'moderate.' While stability of the severe atypical and moderate subtype was relatively high and increased over time (70-71; 45-90%), stability of the severe typical subtype was lower (45-48%). Females had a higher risk of being in the severe atypical subtype and exhibited more transitions, particularly with respect to the severe typical subtype. In contrast, males displayed more stable subtypes. The stable severe atypical subtype was associated with comorbid eating disorders as well as psychosis syndromes, whereas the stable severe typical subtype was associated only with psychosis syndromes. Our results provide first evidence for the notion that long-term stability and transition patterns differ by sex and depression subtypes. This finding has received too little attention in previous research and should be considered in treatments.

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Year:  2013        PMID: 24292327     DOI: 10.1007/s00406-013-0475-3

Source DB:  PubMed          Journal:  Eur Arch Psychiatry Clin Neurosci        ISSN: 0940-1334            Impact factor:   5.270


  46 in total

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  6 in total

1.  A Latent Transition Analysis Model for Latent-State-Dependent Nonignorable Missingness.

Authors:  Sonya K Sterba
Journal:  Psychometrika       Date:  2016-06       Impact factor: 2.500

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Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2014-10       Impact factor: 5.270

3.  Changes in Depression Subtypes Among Men in STAR*D: A Latent Transition Analysis.

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Journal:  Curr Psychiatry Rep       Date:  2018-04-02       Impact factor: 5.285

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Authors:  Brett Silverstein; Jules Angst
Journal:  Psychiatry J       Date:  2015-07-14

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Journal:  Transl Psychiatry       Date:  2016-07-12       Impact factor: 6.222

  6 in total

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