Literature DB >> 32308814

Smartphone Monitoring of Mood Instability in Young Depressed Patients: A Latent-class Analyses.

Vibha Anand1, Bo Hu2, Amit Anand3.   

Abstract

This study captured daily and weekly mood ratings using a smartphone from bipolar disorder (BD) and unipolar major depression disorder (MDD) subjects at high (HRMDD) and low risk (LRMDD) for developing Bipolar Disorder (BD) and healthy controls (HC).
METHOD: 40 subjects (18 - 30 yr) (6 BD, 13 HRMDD, 16 LRMDD and 5 HC) were studied and a total of 2401 daily and 744 weekly ratings were collected. HRMDD and LRMDD subjects were naturalistically treated with antidepressants. We investigate if latent-class analyses of ratings can detect mood instability among MDD and BD groups.
RESULTS: Our analyses revealed four underlying mood states correlating with clinical mood states. There was a trend for greater number of state changes in BD and HRMDD subjects compared to LRMDD and HC groups.
CONCLUSION: Smartphone ratings may adequately capture mood instability in BD subjects and at risk HRMDD subjects and offers a prudent way for monitoring development of serious manic symptoms. ©2019 AMIA - All rights reserved.

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Year:  2020        PMID： 32308814      PMCID： PMC7153103     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN： 1559-4076


  12 in total

1.  Mood instability in bipolar disorder type I versus type II-continuous daily electronic self-monitoring of illness activity using smartphones.

Authors:  Maria Faurholt-Jepsen; Christian Ritz; Mads Frost; Rie Lambæk Mikkelsen; Ellen Margrethe Christensen; Jakob Bardram; Maj Vinberg; Lars Vedel Kessing
Journal:  J Affect Disord       Date:  2015-08-01       Impact factor: 4.839

Review 2.  Antidepressants for the acute treatment of bipolar depression: a systematic review and meta-analysis.

Authors:  Michelle M Sidor; Glenda M Macqueen
Journal:  J Clin Psychiatry       Date:  2010-10-05       Impact factor: 4.384

3.  Sub-threshold bipolar disorder in medication-free young subjects with major depression: Clinical characteristics and antidepressant treatment response.

Authors:  Parashar Koirala; Bo Hu; Murat Altinay; Manshi Li; Amy L DiVita; Kelly A Bryant; Harish S Karne; Jess G Fiedorowicz; Amit Anand
Journal:  J Psychiatr Res       Date:  2018-12-08       Impact factor: 4.791

4.  The perils of being too stable: mood regulation in bipolar disorder

Authors:  Abigail Ortiz; Martin Alda
Journal:  J Psychiatry Neurosci       Date:  2018-11-01       Impact factor: 6.186

5.  A rating scale for mania: reliability, validity and sensitivity.

Authors:  R C Young; J T Biggs; V E Ziegler; D A Meyer
Journal:  Br J Psychiatry       Date:  1978-11       Impact factor: 9.319

6.  A high-risk study of bipolar disorder. Childhood clinical phenotypes as precursors of major mood disorders.

Authors:  John I Nurnberger; Melvin McInnis; Wendy Reich; Elizabeth Kastelic; Holly C Wilcox; Anne Glowinski; Philip Mitchell; Carrie Fisher; Mariano Erpe; Elliot S Gershon; Wade Berrettini; Gina Laite; Robert Schweitzer; Kelly Rhoadarmer; Vegas V Coleman; Xueya Cai; Faouzi Azzouz; Hai Liu; Masoud Kamali; Christine Brucksch; Patrick O Monahan
Journal:  Arch Gen Psychiatry       Date:  2011-10

Review 7.  Subthreshold bipolarity: diagnostic issues and challenges.

Authors:  Robin Nusslock; Ellen Frank
Journal:  Bipolar Disord       Date:  2011 Nov-Dec       Impact factor: 6.744

8.  Lifetime prevalence of mental disorders in U.S. adolescents: results from the National Comorbidity Survey Replication--Adolescent Supplement (NCS-A).

Authors:  Kathleen Ries Merikangas; Jian-Ping He; Marcy Burstein; Sonja A Swanson; Shelli Avenevoli; Lihong Cui; Corina Benjet; Katholiki Georgiades; Joel Swendsen
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2010-07-31       Impact factor: 8.829

Review 9.  Smartphone-Based Monitoring of Objective and Subjective Data in Affective Disorders: Where Are We and Where Are We Going? Systematic Review.

Authors:  Ezgi Dogan; Christian Sander; Xenija Wagner; Ulrich Hegerl; Elisabeth Kohls
Journal:  J Med Internet Res       Date:  2017-07-24       Impact factor: 5.428

Review 10.  Telemonitoring with respect to mood disorders and information and communication technologies: overview and presentation of the PSYCHE project.

Authors:  Hervé Javelot; Anne Spadazzi; Luisa Weiner; Sonia Garcia; Claudio Gentili; Markus Kosel; Gilles Bertschy
Journal:  Biomed Res Int       Date:  2014-06-24       Impact factor: 3.411
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  1 in total

Review 1.  Efficacy of digital technologies aimed at enhancing emotion regulation skills: Literature review.

Authors:  Ferozkhan Jadhakhan; Holly Blake; Danielle Hett; Steven Marwaha
Journal:  Front Psychiatry       Date:  2022-09-07       Impact factor: 5.435
  1 in total

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