Literature DB >> 3977549

Infradian rhythms. A comparison of affective disorders and normal persons.

M R Eastwood, J L Whitton, P M Kramer, A M Peter.   

Abstract

We matched patients with affective disorders by sex and age with a healthy control group. The two groups recorded daily measures of hours slept, energy, anxiety, and mood levels for 14 months. We analyzed the data using spectral analysis. We found that both groups had statistically significant infradian rhythms, with the majority having seasonal cycles, and that the patients with affective disorders differed from the control subjects in having a greater amplitude of their periodicities.

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Year:  1985        PMID: 3977549     DOI: 10.1001/archpsyc.1985.01790260093011

Source DB:  PubMed          Journal:  Arch Gen Psychiatry        ISSN: 0003-990X


  6 in total

1.  Seasonal changes in affective state in samples of Asian and white women.

Authors:  K Suhail; R Cochrane
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  1997-04       Impact factor: 4.328

2.  Biometeorology.

Authors:  M R Eastwood; J L Whitton
Journal:  Can Med Assoc J       Date:  1985-07-15       Impact factor: 8.262

3.  Seasonality in affective disorders using SPAQ.

Authors:  Ajit Avasthi; Nitin Gupta; Pramanand Kulhara; Pratap Sharan; Gagandeep Singh; Rajinder Pal Kaur; Rajni Sharma
Journal:  Indian J Psychiatry       Date:  2003-07       Impact factor: 1.759

4.  Nonlinear time-series approaches in characterizing mood stability and mood instability in bipolar disorder.

Authors:  M B Bonsall; S M A Wallace-Hadrill; J R Geddes; G M Goodwin; E A Holmes
Journal:  Proc Biol Sci       Date:  2011-08-17       Impact factor: 5.349

5.  Mood and cognition in healthy older European adults: the Zenith study.

Authors:  Ellen Ea Simpson; Elizabeth A Maylor; Christopher McConville; Barbara Stewart-Knox; Natalie Meunier; Maud Andriollo-Sanchez; Angela Polito; Federica Intorre; Jacqueline M McCormack; Charles Coudray
Journal:  BMC Psychol       Date:  2014-05-02

6.  Peripheral blood metabolome predicts mood change-related activity in mouse model of bipolar disorder.

Authors:  Hideo Hagihara; Tomoyasu Horikawa; Yasuhiro Irino; Hironori K Nakamura; Juzoh Umemori; Hirotaka Shoji; Masaru Yoshida; Yukiyasu Kamitani; Tsuyoshi Miyakawa
Journal:  Mol Brain       Date:  2019-12-10       Impact factor: 4.041

  6 in total

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