Literature DB >> 1897614

Identification and characterization of greater mood variance in depression.

D P Hall1, H C Sing, A J Romanoski.   

Abstract

OBJECTIVE: The authors sought to assess the quantity and quality of mood variation in depressed persons.
METHOD: Using a visual analogue scale, they compared variation of mood in a group of patients (N = 9) with a DSM-III-R diagnosis of depressive disorder and in a group of nondepressed subjects (N = 9) over 12 consecutive hours. To quantify mood variation for each subject, the authors computed the standard deviation of each subject's 13 mood ratings on the visual analogue scale. To characterize the quality of mood variation within each subject, they plotted each subject's mood ratings as a function of time and applied complex demodulation to confirm cyclical patterns of mood variability (ultradian cycles).
RESULTS: The depressed group demonstrated greater mood score variability over the course of the day. Both groups demonstrated ultradian cycles and circadian trends; however, the depressed group demonstrated ultradian cycles of significantly greater amplitude than the nondepressed group.
CONCLUSIONS: Repeated assessments of mood at different times of the day may be necessary to obtain an accurate impression of a patient's mood state. Further, the mechanism of depressive disorders may include a deregulation of a normal oscillatory mood variation pattern.

Entities:  

Mesh:

Year:  1991        PMID: 1897614     DOI: 10.1176/ajp.148.10.1341

Source DB:  PubMed          Journal:  Am J Psychiatry        ISSN: 0002-953X            Impact factor:   18.112


  6 in total

1.  Diurnal variation in regional brain glucose metabolism in depression.

Authors:  Anne Germain; Eric A Nofzinger; Carolyn C Meltzer; Annette Wood; David J Kupfer; Robert Y Moore; Daniel J Buysse
Journal:  Biol Psychiatry       Date:  2007-01-09       Impact factor: 13.382

2.  Clock gene variants differentiate mood disorders.

Authors:  Monika Paulina Dmitrzak-Weglarz; Joanna Maria Pawlak; Malgorzata Maciukiewicz; Jerzy Moczko; Monika Wilkosc; Anna Leszczynska-Rodziewicz; Dorota Zaremba; Joanna Hauser
Journal:  Mol Biol Rep       Date:  2014-09-26       Impact factor: 2.316

3.  Momentary Associations of Osteoarthritis Pain and Affect: Depression as Moderator.

Authors:  Patricia A Parmelee; Emily A Behrens; Kyrsten Costlow Hill; Brian S Cox; Jason A DeCaro; Francis J Keefe; Dylan M Smith
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2022-07-05       Impact factor: 4.942

4.  Chronobiology and mood disorders.

Authors:  Anna Wirz-Justice
Journal:  Dialogues Clin Neurosci       Date:  2003-12       Impact factor: 5.986

Review 5.  Isolating biomarkers for symptomatic states: considering symptom-substrate chronometry.

Authors:  M T Treadway; C V Leonard
Journal:  Mol Psychiatry       Date:  2016-05-31       Impact factor: 15.992

6.  Passive Sensing of Prediction of Moment-To-Moment Depressed Mood among Undergraduates with Clinical Levels of Depression Sample Using Smartphones.

Authors:  Nicholas C Jacobson; Yeon Joo Chung
Journal:  Sensors (Basel)       Date:  2020-06-24       Impact factor: 3.576

  6 in total

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