Literature DB >> 20565440

The longitudinal course of bipolar disorder as revealed through weekly text messaging: a feasibility study.

Jedediah M Bopp1, David J Miklowitz, Guy M Goodwin, Will Stevens, Jennifer M Rendell, John R Geddes.   

Abstract

OBJECTIVES: To examine the feasibility of collecting course of illness data from patients with bipolar I and II disorder, using weekly text-messaged mood ratings, and to examine the time trajectory of symptom ratings based on this method of self-report.
METHODS: A total of 62 patients with bipolar I (n = 47) or II (n = 15) disorder provided mood data in response to weekly cell phone text messages (n = 54) or e-mail prompts (n = 8). Participants provided weekly ratings using the Altman Self-Rating Mania Scale and the Quick Inventory of Depressive Symptoms-Self Report. Patients with bipolar I and II disorder, and men and women, were compared on percentages of time in depressive or manic mood states over up to two years.
RESULTS: Participants provided weekly ratings over an average of 36 (range 1-92) weeks. Compliance with the procedure was 75%. Overall, participants reported depressive symptoms 47.7% of the time compared to 7% of entries reflecting manic symptoms, 8.8% reflecting both depressive and manic symptoms, and 36.5% reflecting euthymic mood. Participants with bipolar I disorder reported more days of depression and were less likely to improve with time than participants with bipolar II disorder. Gender differences observed at the beginning of the study were not observed at follow-up.
CONCLUSIONS: The results are similar to those of other longitudinal studies of bipolar disorder that use traditional retrospective, clinician-gathered mood data. Text-message-based symptom monitoring during routine follow-up may be a reliable alternative to in-person interviews.

Entities:  

Mesh:

Year:  2010        PMID: 20565440      PMCID: PMC2921773          DOI: 10.1111/j.1399-5618.2010.00807.x

Source DB:  PubMed          Journal:  Bipolar Disord        ISSN: 1398-5647            Impact factor:   6.744


  19 in total

1.  Life charts on a palmtop computer: first results of a feasibility study with an electronic diary for bipolar patients.

Authors:  L O Schärer; V Hartweg; G Valerius; M Graf; M Hoern; C Biedermann; S Walser; A Boensch; S Dittmann; A Forsthoff; B Hummel; H Grunze; J Walden
Journal:  Bipolar Disord       Date:  2002       Impact factor: 6.744

2.  A prospective investigation of the natural history of the long-term weekly symptomatic status of bipolar II disorder.

Authors:  Lewis L Judd; Hagop S Akiskal; Pamela J Schettler; William Coryell; Jean Endicott; Jack D Maser; David A Solomon; Andrew C Leon; Martin B Keller
Journal:  Arch Gen Psychiatry       Date:  2003-03

3.  Temporal analysis of the relationship of smoking behavior and urges to mood states in men versus women.

Authors:  R J Delfino; L D Jamner; C K Whalen
Journal:  Nicotine Tob Res       Date:  2001-08       Impact factor: 4.244

4.  The Altman Self-Rating Mania Scale.

Authors:  E G Altman; D Hedeker; J L Peterson; J M Davis
Journal:  Biol Psychiatry       Date:  1997-11-15       Impact factor: 13.382

5.  Computer-assisted self-assessment in persons with severe mental illness.

Authors:  Matthew Chinman; Alexander S Young; Terry Schell; Joseph Hassell; Jim Mintz
Journal:  J Clin Psychiatry       Date:  2004-10       Impact factor: 4.384

6.  The Inventory of Depressive Symptomatology, Clinician Rating (IDS-C) and Self-Report (IDS-SR), and the Quick Inventory of Depressive Symptomatology, Clinician Rating (QIDS-C) and Self-Report (QIDS-SR) in public sector patients with mood disorders: a psychometric evaluation.

Authors:  M H Trivedi; A J Rush; H M Ibrahim; T J Carmody; M M Biggs; T Suppes; M L Crismon; K Shores-Wilson; M G Toprac; E B Dennehy; B Witte; T M Kashner
Journal:  Psychol Med       Date:  2004-01       Impact factor: 7.723

7.  Long-term symptomatic status of bipolar I vs. bipolar II disorders.

Authors:  Lewis L Judd; Pamela J Schettler; Hagop S Akiskal; Jack Maser; William Coryell; David Solomon; Jean Endicott; Martin Keller
Journal:  Int J Neuropsychopharmacol       Date:  2003-06       Impact factor: 5.176

8.  The 16-Item Quick Inventory of Depressive Symptomatology (QIDS), clinician rating (QIDS-C), and self-report (QIDS-SR): a psychometric evaluation in patients with chronic major depression.

Authors:  A John Rush; Madhukar H Trivedi; Hicham M Ibrahim; Thomas J Carmody; Bruce Arnow; Daniel N Klein; John C Markowitz; Philip T Ninan; Susan Kornstein; Rachel Manber; Michael E Thase; James H Kocsis; Martin B Keller
Journal:  Biol Psychiatry       Date:  2003-09-01       Impact factor: 13.382

9.  A prospective, longitudinal study of percentage of time spent ill in patients with bipolar I or bipolar II disorders.

Authors:  Russell T Joffe; Glenda M MacQueen; Michael Marriott; L Trevor Young
Journal:  Bipolar Disord       Date:  2004-02       Impact factor: 6.744

10.  Life events and onset of a new phase in bipolar affective disorder.

Authors:  Ellen Margrethe Christensen; Annette Gjerris; Jens Knud Larsen; Birgitte Bjerg Bendtsen; Birgitte Holt Larsen; Heidi Rolff; Gudrun Ring; Eric Schaumburg
Journal:  Bipolar Disord       Date:  2003-10       Impact factor: 6.744

View more
  68 in total

1.  Alcohol stress response dampening: selective reduction of anxiety in the face of uncertain threat.

Authors:  Kathryn R Hefner; John J Curtin
Journal:  J Psychopharmacol       Date:  2011-09-21       Impact factor: 4.153

2.  Use of short messaging services to assess depressive symptoms among refugees in South Africa: Implications for social services providing mental health care in resource-poor settings.

Authors:  Andrew Tomita; Ka Muzombo Kandolo; Ezra Susser; Jonathan K Burns
Journal:  J Telemed Telecare       Date:  2015-09-24       Impact factor: 6.184

Review 3.  Development and Evaluation of a Smartphone-Based Measure of Social Rhythms for Bipolar Disorder.

Authors:  Mark Matthews; Saeed Abdullah; Elizabeth Murnane; Stephen Voida; Tanzeem Choudhury; Geri Gay; Ellen Frank
Journal:  Assessment       Date:  2016-08

4.  Using Smartphone Apps to Promote Psychiatric and Physical Well-Being.

Authors:  Cathaleene Macias; Trishan Panch; Yale M Hicks; Jason S Scolnick; David Lyle Weene; Dost Öngür; Bruce M Cohen
Journal:  Psychiatr Q       Date:  2015-12

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

Authors:  Anda Gershon; Nilam Ram; Sheri L Johnson; Allison G Harvey; Jamie M Zeitzer
Journal:  Clin Psychol Sci       Date:  2015-11-19

6.  People with bipolar I disorder report avoiding rewarding activities and dampening positive emotion.

Authors:  Michael D Edge; Christopher J Miller; Luma Muhtadie; Sheri L Johnson; Charles S Carver; Nicole Marquinez; Ian H Gotlib
Journal:  J Affect Disord       Date:  2012-09-27       Impact factor: 4.839

7.  Information processing in adolescents with bipolar I disorder.

Authors:  Jane Whitney; Jutta Joormann; Ian H Gotlib; Ryan G Kelley; Tenah Acquaye; Meghan Howe; Kiki D Chang; Manpreet K Singh
Journal:  J Child Psychol Psychiatry       Date:  2012-03-06       Impact factor: 8.982

8.  Experiences of remote mood and activity monitoring in bipolar disorder: A qualitative study.

Authors:  K E A Saunders; A C Bilderbeck; P Panchal; L Z Atkinson; J R Geddes; G M Goodwin
Journal:  Eur Psychiatry       Date:  2017-01-27       Impact factor: 5.361

9.  Increasing the response rate of text messaging data collection: a delayed randomized controlled trial.

Authors:  Ye Li; Wei Wang; Qiong Wu; Michelle Helena van Velthoven; Li Chen; Xiaozhen Du; Yanfeng Zhang; Igor Rudan; Josip Car
Journal:  J Am Med Inform Assoc       Date:  2014-10-20       Impact factor: 4.497

10.  Sleep impairment, mood symptoms, and psychosocial functioning in adolescent bipolar disorder.

Authors:  Jessica R Lunsford-Avery; Charles M Judd; David A Axelson; David J Miklowitz
Journal:  Psychiatry Res       Date:  2012-08-09       Impact factor: 3.222

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.