Literature DB >> 26802021

Changes in depression subtypes for women during treatment with citalopram: a latent transition analysis.

Christine M Ulbricht1, Levent Dumenci2, Anthony J Rothschild3, Kate L Lapane4.   

Abstract

UNLABELLED: The aim of this study was to characterize latent subtypes of major depression and changes in these subtypes among women receiving citalopram in the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) trial. Latent transition analysis was applied to data from 755 women 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 subtype. Four subtypes were identified at baseline and week 12. The baseline subtypes were Mild (21 %), Moderate (30 %), Severe with Increased Appetite (16 %), and Severe with Decreased Appetite (34 %). The subtypes at week 12 were Symptom Resolution (65 %), Mild (23 %), Moderate (9 %), and Severe with Psychomotor Disturbances (3 %). Women in the Moderate subtype at baseline had the greatest chance of moving to Symptom Resolution (87 %). Women in the Severe with Decreased Appetite subtype had the lowest chance of transitioning to Symptom Resolution (46 %). Depression severity and appetite distinguished depression subtypes for women before treatment with citalopram. Depression severity and psychomotor disturbances characterized the subtypes after treatment. This work highlights the need to consider how depression treatment changes different symptoms instead of relying exclusively on summary rating scores. CLINICAL TRIAL REGISTRATION: www.clinicaltrials.gov , NCT00021528.

Entities:  

Keywords:  Appetite; Major depressive disorder; Person-centered analysis; Psychomotor disturbances; Sex differences

Mesh:

Substances:

Year:  2016        PMID: 26802021     DOI: 10.1007/s00737-016-0606-8

Source DB:  PubMed          Journal:  Arch Womens Ment Health        ISSN: 1434-1816            Impact factor:   3.633


  3 in total

1.  Problems with latent class analysis to detect data-driven subtypes of depression.

Authors:  H M van Loo; R B K Wanders; K J Wardenaar; E I Fried
Journal:  Mol Psychiatry       Date:  2016-11-08       Impact factor: 15.992

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

Authors:  Ana Catarino; Jonathan M Fawcett; Michael P Ewbank; Sarah Bateup; Ronan Cummins; Valentin Tablan; Andrew D Blackwell
Journal:  Psychol Med       Date:  2020-06-29       Impact factor: 7.723

3.  Efficacy of hyperbaric oxygen combined with escitalopram in depression and its effect on cognitive function.

Authors:  Kun Mi; Qiang Guo; Bao-Yan Xu; Man Wang; Hao Bi
Journal:  Pak J Med Sci       Date:  2021 Jul-Aug       Impact factor: 1.088

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.