Literature DB >> 26438468

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

Christine M Ulbricht1, Levent Dumenci2, Anthony J Rothschild1,3, Kate L Lapane1.   

Abstract

The burden of depression in men is high. Current diagnostic criteria may not fully capture men's experience with depression. Descriptions of the heterogeneity in depression among men are lacking. The purpose of the study was to characterize latent subtypes of major depression and changes in these subtypes among men receiving citalopram in Level 1 of the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) trial. Latent transition analysis was applied to data from 387 men who completed baseline and Week 12 study visits in Level 1 of STAR*D. Items from the self-report version of the Quick Inventory of Depressive Symptomatology were used as indicators of latent depression subtypes. Four statuses were identified at baseline and Week 12. Baseline statuses were Mild (10% of men), Moderate (53%), Severe with Psychomotor Slowing (20%), and Severe with Psychomotor Agitation (17%). At Week 12, the statuses were Symptom Resolution (41%), Mild (36%), Moderate (18%), and Severe with Psychomotor Slowing (5%). Men in the Mild status were most likely to transition to Symptom Resolution (probability = 69%). Men in the Severe with Agitation status were least likely to transition to Symptom Resolution (probability = 0%). This work highlights the need to not focus solely on summary rating scores but to also consider patterns of symptoms when treating depression.

Entities:  

Keywords:  STAR*D; depression subtypes; latent transition analysis; major depressive disorder

Mesh:

Substances:

Year:  2015        PMID: 26438468      PMCID: PMC5734533          DOI: 10.1177/1557988315607297

Source DB:  PubMed          Journal:  Am J Mens Health        ISSN: 1557-9883


  41 in total

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Review 5.  Cognitive-behavioral treatment of depression in men: tailoring treatment and directions for future research.

Authors:  Jason S Spendelow
Journal:  Am J Mens Health       Date:  2014-04-08

6.  Gender differences in the prevalence of somatic versus pure depression: a replication.

Authors:  Brett Silverstein
Journal:  Am J Psychiatry       Date:  2002-06       Impact factor: 18.112

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

Authors:  Stephanie Rodgers; Vladeta Ajdacic-Gross; Mario Müller; Michael P Hengartner; Martin Grosse Holtforth; Jules Angst; Wulf Rössler
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8.  Sequenced treatment alternatives to relieve depression (STAR*D): rationale and design.

Authors:  A John Rush; Maurizio Fava; Stephen R Wisniewski; Philip W Lavori; Madhukar H Trivedi; Harold A Sackeim; Michael E Thase; Andrew A Nierenberg; Frederic M Quitkin; T Michael Kashner; David J Kupfer; Jerrold F Rosenbaum; Jonathan Alpert; Jonathan W Stewart; Patrick J McGrath; Melanie M Biggs; Kathy Shores-Wilson; Barry D Lebowitz; Louise Ritz; George Niederehe
Journal:  Control Clin Trials       Date:  2004-02

9.  Can phase III trial results of antidepressant medications be generalized to clinical practice? A STAR*D report.

Authors:  Stephen R Wisniewski; A John Rush; Andrew A Nierenberg; Bradley N Gaynes; Diane Warden; James F Luther; Patrick J McGrath; Philip W Lavori; Michael E Thase; Maurizio Fava; Madhukar H Trivedi
Journal:  Am J Psychiatry       Date:  2009-04-01       Impact factor: 18.112

10.  Response to a selective serotonin reuptake inhibitor (citalopram) in major depressive disorder with melancholic features: a STAR*D report.

Authors:  Patrick J McGrath; Ahsan Y Khan; Madhukar H Trivedi; Jonathan W Stewart; David W Morris; Stephen R Wisniewski; Sachiko Miyahara; Andrew A Nierenberg; Maurizio Fava; A John Rush
Journal:  J Clin Psychiatry       Date:  2008-11-18       Impact factor: 4.384

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  3 in total

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2.  Change in suicidal ideation and associated factors among young adults in Hong Kong from 2018 to 2019: a latent transition analysis.

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3.  Refining our understanding of depressive states and state transitions in response to cognitive behavioural therapy using latent Markov modelling.

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