Literature DB >> 27642544

Daily Actigraphy Profiles Distinguish Depressive and Interepisode States in Bipolar Disorder.

Anda Gershon1, Nilam Ram2, Sheri L Johnson3, Allison G Harvey3, Jamie M Zeitzer4.   

Abstract

Disruptions in activity are core features of mood states in bipolar disorder (BD). This study sought to identify activity patterns that discriminate between mood states in BD. Locomotor activity was collected using actigraphy for six weeks in participants with inter-episode BD type I (n=37) or participants with no lifetime mood disorders (n=39). The 24-hour activity pattern of each participant-day was characterized and within-person differences in activity patterns were examined across mood states. Results show that among participants with BD, depressive days are distinguished from other mood states by an overall lower activity level, and a pattern of later activity onset, a midday elevation of activity, and low evening activity. No distinct within-person activity patterns were found for hypomanic/manic days. Since activity can be monitored non-invasively for extended time periods, activity pattern identification may be leveraged to detect mood states in BD, thereby providing more immediate delivery of care.

Entities:  

Keywords:  Bipolar disorder; actigraphy; activity; circadian rhythms; depression

Year:  2015        PMID: 27642544      PMCID: PMC5022043          DOI: 10.1177/2167702615604613

Source DB:  PubMed          Journal:  Clin Psychol Sci        ISSN: 2167-7034


  34 in total

Review 1.  The behavioral activation system and mania.

Authors:  Sheri L Johnson; Michael D Edge; M Kathleen Holmes; Charles S Carver
Journal:  Annu Rev Clin Psychol       Date:  2011-11-07       Impact factor: 18.561

2.  Associations between circadian activity rhythms and functional brain abnormalities among euthymic bipolar patients: a preliminary study.

Authors:  Benjamin S McKenna; Sean P A Drummond; Lisa T Eyler
Journal:  J Affect Disord       Date:  2014-04-21       Impact factor: 4.839

Review 3.  Sleep in patients with remitted bipolar disorders: a meta-analysis of actigraphy studies.

Authors:  P A Geoffroy; J Scott; C Boudebesse; M Lajnef; C Henry; M Leboyer; F Bellivier; B Etain
Journal:  Acta Psychiatr Scand       Date:  2014-11-28       Impact factor: 6.392

4.  Toward a refined phenomenology of mania: combining clinician-assessment and self-report in the French EPIMAN study.

Authors:  H S Akiskal; E G Hantouche; M L Bourgeois; J M Azorin; D Sechter; J F Allilaire; L Chatenêt-Duchêne; S Lancrenon
Journal:  J Affect Disord       Date:  2001-12       Impact factor: 4.839

5.  Impact of an easy-access VA clinic-based program for patients with bipolar disorder.

Authors:  M S Bauer; L McBride; N Shea; C Gavin; F Holden; S Kendall
Journal:  Psychiatr Serv       Date:  1997-04       Impact factor: 3.084

6.  Are adults with bipolar disorder active? Objectively measured physical activity and sedentary behavior using accelerometry.

Authors:  Carol A Janney; Andrea Fagiolini; Holly A Swartz; John M Jakicic; Robert G Holleman; Caroline R Richardson
Journal:  J Affect Disord       Date:  2013-09-18       Impact factor: 4.839

7.  Replicable differences in preferred circadian phase between bipolar disorder patients and control individuals.

Authors:  Joel Wood; Boris Birmaher; David Axelson; Mary Ehmann; Catherine Kalas; Kelly Monk; Scott Turkin; David J Kupfer; David Brent; Timothy H Monk; Vishwajit L Nimgainkar
Journal:  Psychiatry Res       Date:  2009-03-10       Impact factor: 3.222

8.  Independent assessment of manic and depressive symptoms by self-rating. Scale characteristics and implications for the study of mania.

Authors:  M S Bauer; P Crits-Christoph; W A Ball; E Dewees; T McAllister; P Alahi; J Cacciola; P C Whybrow
Journal:  Arch Gen Psychiatry       Date:  1991-09

9.  Three times more days depressed than manic or hypomanic in both bipolar I and bipolar II disorder.

Authors:  Ralph W Kupka; Lori L Altshuler; Willem A Nolen; Trisha Suppes; David A Luckenbaugh; Gabriele S Leverich; Mark A Frye; Paul E Keck; Susan L McElroy; Heinz Grunze; Robert M Post
Journal:  Bipolar Disord       Date:  2007-08       Impact factor: 6.744

10.  Relapse and impairment in bipolar disorder.

Authors:  M J Gitlin; J Swendsen; T L Heller; C Hammen
Journal:  Am J Psychiatry       Date:  1995-11       Impact factor: 18.112

View more
  18 in total

1.  Daily Patterns of Accelerometer Activity Predict Changes in Sleep, Cognition, and Mortality in Older Men.

Authors:  Jamie M Zeitzer; Terri Blackwell; Andrew R Hoffman; Steve Cummings; Sonia Ancoli-Israel; Katie Stone
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2018-04-17       Impact factor: 6.053

2.  Variation in actigraphy-estimated rest-activity patterns by demographic factors.

Authors:  Jonathan A Mitchell; Mirja Quante; Suneeta Godbole; Peter James; J Aaron Hipp; Catherine R Marinac; Sara Mariani; Elizabeth M Cespedes Feliciano; Karen Glanz; Francine Laden; Rui Wang; Jia Weng; Susan Redline; Jacqueline Kerr
Journal:  Chronobiol Int       Date:  2017-06-26       Impact factor: 2.877

3.  Registration of 24-hour accelerometric rest-activity profiles and its application to human chronotypes.

Authors:  Erin I McDonnell; Vadim Zipunnikov; Jennifer A Schrack; Jeff Goldsmith; Julia Wrobel
Journal:  Biol Rhythm Res       Date:  2022-05-31       Impact factor: 1.362

4.  Sociodemographic, Health and Lifestyle, Sampling, and Mental Health Determinants of 24-Hour Motor Activity Patterns: Observational Study.

Authors:  Sonia Difrancesco; Harriëtte Riese; Kathleen R Merikangas; Haochang Shou; Vadim Zipunnikov; Niki Antypa; Albert M van Hemert; Robert A Schoevers; Brenda W J H Penninx; Femke Lamers
Journal:  J Med Internet Res       Date:  2021-02-17       Impact factor: 5.428

5.  Development of a Measure of Sleep, Circadian Rhythms, and Mood: The SCRAM Questionnaire.

Authors:  Jamie E M Byrne; Ben Bullock; Greg Murray
Journal:  Front Psychol       Date:  2017-12-01

6.  Variability of activity patterns across mood disorders and time of day.

Authors:  Karoline Krane-Gartiser; Arne E Vaaler; Ole Bernt Fasmer; Kjetil Sørensen; Gunnar Morken; Jan Scott
Journal:  BMC Psychiatry       Date:  2017-12-19       Impact factor: 3.630

7.  A pilot study to determine whether combinations of objectively measured activity parameters can be used to differentiate between mixed states, mania, and bipolar depression.

Authors:  Jan Scott; Arne E Vaaler; Ole Bernt Fasmer; Gunnar Morken; Karoline Krane-Gartiser
Journal:  Int J Bipolar Disord       Date:  2017-03-01

8.  Actigraphy as an objective intra-individual marker of activity patterns in acute-phase bipolar disorder: a case series.

Authors:  Karoline Krane-Gartiser; Andreas Asheim; Ole Bernt Fasmer; Gunnar Morken; Arne E Vaaler; Jan Scott
Journal:  Int J Bipolar Disord       Date:  2018-03-07

9.  Sleep, circadian rhythm, and physical activity patterns in depressive and anxiety disorders: A 2-week ambulatory assessment study.

Authors:  Sonia Difrancesco; Femke Lamers; Harriëtte Riese; Kathleen R Merikangas; Aartjan T F Beekman; Albert M van Hemert; Robert A Schoevers; Brenda W J H Penninx
Journal:  Depress Anxiety       Date:  2019-07-26       Impact factor: 6.505

Review 10.  Correlations Between Objective Behavioral Features Collected From Mobile and Wearable Devices and Depressive Mood Symptoms in Patients With Affective Disorders: Systematic Review.

Authors:  Darius A Rohani; Maria Faurholt-Jepsen; Lars Vedel Kessing; Jakob E Bardram
Journal:  JMIR Mhealth Uhealth       Date:  2018-08-13       Impact factor: 4.773

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.