BACKGROUND: Rhythm disturbances are a frequent clinical manifestation of depression. In recent years a possible relationship between depression and chronotypes has emerged. Specifically eveningness has been proposed as vulnerability factor. The aim of this study was to describe sleep features of depressed patients according to chronotypes and to explore possible associations with the clinical features of depressive episodes. METHODS: 100 patients diagnosed with Major Depressive Disorder according to the Mini International Neuropsychiatric Interview (MINI) were included (age: 34+/-11.74, range: 18-60 years; female/male:79/21). At admission the Hamilton Rating Scale for Depression (HRSD) was administered. Patients were also administered the Morningness-Eveningness Questionnaire (MEQ), the Epworth Sleepiness Scale, the Athens Insomnia Scale and the Pittsburgh Sleep Quality Index. RESULTS: According to MEQ scores patients were classified in three groups: a) eveningness (n=18), b) neither (n=61) and c) morningness type (n=21). The age was different among chronotypes, being morningness-type patients older. The eveningness-type group showed higher scores in suicidal thoughts, more impaired work and activities, higher paranoid symptoms, higher scores on the anxiety cluster (HRSD), while the morningness-type group showed lower proportion of melancholic symptoms (MINI). We did not find association between sleep parameters and specific chronotypes. LIMITATIONS: The relatively small sample size and the concurrent assessment of chronotypes and depression may have biased our findings. CONCLUSIONS: Our data suggest the idea that chronotypes have an impact on depressive episodes features, with higher severity for the eveningness-type.
BACKGROUND: Rhythm disturbances are a frequent clinical manifestation of depression. In recent years a possible relationship between depression and chronotypes has emerged. Specifically eveningness has been proposed as vulnerability factor. The aim of this study was to describe sleep features of depressedpatients according to chronotypes and to explore possible associations with the clinical features of depressive episodes. METHODS: 100 patients diagnosed with Major Depressive Disorder according to the Mini International Neuropsychiatric Interview (MINI) were included (age: 34+/-11.74, range: 18-60 years; female/male:79/21). At admission the Hamilton Rating Scale for Depression (HRSD) was administered. Patients were also administered the Morningness-Eveningness Questionnaire (MEQ), the Epworth Sleepiness Scale, the Athens Insomnia Scale and the Pittsburgh Sleep Quality Index. RESULTS: According to MEQ scores patients were classified in three groups: a) eveningness (n=18), b) neither (n=61) and c) morningness type (n=21). The age was different among chronotypes, being morningness-type patients older. The eveningness-type group showed higher scores in suicidal thoughts, more impaired work and activities, higher paranoid symptoms, higher scores on the anxiety cluster (HRSD), while the morningness-type group showed lower proportion of melancholic symptoms (MINI). We did not find association between sleep parameters and specific chronotypes. LIMITATIONS: The relatively small sample size and the concurrent assessment of chronotypes and depression may have biased our findings. CONCLUSIONS: Our data suggest the idea that chronotypes have an impact on depressive episodes features, with higher severity for the eveningness-type.
Authors: Charles John Meliska; Luis Fernando Martínez; Ana María López; Diane Lynn Sorenson; Sara Nowakowski; Barbara Lockhart Parry Journal: Psychiatry Res Date: 2011-01-14 Impact factor: 3.222
Authors: Leslie M Swanson; Helen J Burgess; Edward D Huntley; Holli Bertram; Ann Mooney; Jennifer Zollars; Richard Dopp; Robert Hoffmann; Roseanne Armitage; J Todd Arnedt Journal: Psychiatry Res Date: 2017-03-08 Impact factor: 3.222
Authors: Michael D Wirth; James B Burch; James R Hébert; Pradnya Kowtal; Aparna Mehrotra-Kapoor; Susan E Steck; Thomas G Hurley; Prakash C Gupta; Mangesh S Pednekar; Shawn D Youngstedt; Hongmei Zhang; Rajiv Sarin Journal: Cancer Invest Date: 2014-06-06 Impact factor: 2.176