Literature DB >> 1928464

Mood variability: a study of four groups.

R W Cowdry1, D L Gardner, K M O'Leary, E Leibenluft, D R Rubinow.   

Abstract

OBJECTIVE: The authors' goal was to determine whether self-rated patterns of mood regulation differed among patients with major depression, patients with borderline personality disorder, patients with premenstrual syndrome (PMS), and normal subjects.
METHOD: Fourteen days of morning and evening mood self-ratings on a visual analog scale were analyzed for 65 female subjects (10 with major depression, 16 with borderline personality disorder, 15 with PMS, and 24 without psychiatric diagnoses). For each individual, the mean and standard deviation of morning and evening ratings, the mean absolute change in mood from one day to the next, and the change from morning to evening were determined.
RESULTS: The four groups differed significantly on every measure of mood and mood variability except diurnal variation. As expected, the group with major depression had the lowest global ratings and a low degree of variability. The group with borderline personality disorder was less depressed than the group with major depression and showed a high degree of mood variability. Autocorrelation analysis suggested that mood ratings in borderline personality disorder vary randomly from one day to the next. The mood variability over the 14 days of the patients with PMS was significantly greater than that of normal subjects.
CONCLUSIONS: The visual analog scale can capture patterns of mood and mood variability thought to be typical of these diagnostic groups. Mood disorders differ not only in the degree of abnormal mood but also in the pattern of mood variability, suggesting that mechanisms regulating mood stability may differ from those regulating overall mood state.

Entities:  

Mesh:

Year:  1991        PMID: 1928464     DOI: 10.1176/ajp.148.11.1505

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


  27 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.  Complex affect dynamics add limited information to the prediction of psychological well-being.

Authors:  Egon Dejonckheere; Merijn Mestdagh; Marlies Houben; Isa Rutten; Laura Sels; Peter Kuppens; Francis Tuerlinckx
Journal:  Nat Hum Behav       Date:  2019-04-15

3.  Sleep disturbances and circadian CLOCK genes in borderline personality disorder.

Authors:  Monika Fleischer; Michael Schäfer; Andrew Coogan; Frank Häßler; Johannes Thome
Journal:  J Neural Transm (Vienna)       Date:  2012-07-19       Impact factor: 3.575

4.  Measuring Self-Esteem with Passive Sensing.

Authors:  Mehrab Bin Morshed; Koustuv Saha; Munmun De Choudhury; Gregory D Abowd; Thomas Plötz
Journal:  Int Conf Pervasive Comput Technol Healthc       Date:  2020-05-18

5.  The everyday emotional experience of adults with major depressive disorder: Examining emotional instability, inertia, and reactivity.

Authors:  Renee J Thompson; Jutta Mata; Susanne M Jaeggi; Martin Buschkuehl; John Jonides; Ian H Gotlib
Journal:  J Abnorm Psychol       Date:  2012-06-18

Review 6.  Affective instability in borderline personality disorder: experience sampling findings.

Authors:  Elena Irina Nica; Paul S Links
Journal:  Curr Psychiatry Rep       Date:  2009-02       Impact factor: 5.285

7.  Mood instability, mental illness and suicidal ideas: results from a household survey.

Authors:  Steven Marwaha; Nick Parsons; Matthew Broome
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2013-01-24       Impact factor: 4.328

8.  Emotional lability and affective synchrony in borderline personality disorder.

Authors:  Michelle Schoenleber; Christopher R Berghoff; Matthew T Tull; David DiLillo; Terri Messman-Moore; Kim L Gratz
Journal:  Personal Disord       Date:  2016-07

9.  The Course of Positive Affective and Cognitive States in Borderline Personality Disorder: A 10-year Follow-up Study.

Authors:  Lawrence Ian Reed; Garrett Fitzmaurice; Mary C Zanarini
Journal:  Personal Ment Health       Date:  2012-11-01

10.  The stability of personality traits in individuals with borderline personality disorder.

Authors:  Christopher J Hopwood; Daniel A Newman; M Brent Donnellan; John C Markowitz; Carlos M Grilo; Charles A Sanislow; Emily B Ansell; Thomas H McGlashan; Andrew E Skodol; M Tracie Shea; John G Gunderson; Mary C Zanarini; Leslie C Morey
Journal:  J Abnorm Psychol       Date:  2009-11
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.