Literature DB >> 19197217

Depression is associated with worse objectively and subjectively measured sleep, but not more frequent awakenings, in women with vasomotor symptoms.

Hadine Joffe1, Claudio N Soares, Rebecca C Thurston, David P White, Lee S Cohen, Janet E Hall.   

Abstract

OBJECTIVE: Depression occurs more commonly during the menopausal transition in women with vasomotor symptoms (VMS) than in those without, but most women with VMS do not develop depression. It has been hypothesized that VMS are associated with depression because VMS lead to repeated awakenings, which impair daytime well-being. We aimed to determine if objectively measured sleep and perceived sleep quality are worse in depressed women with VMS than in nondepressed women with VMS.
METHODS: Objectively and subjectively measured sleep parameters were compared between 52 depressed women with VMS and 51 nondepressed controls with VMS. Actigraphic measures of objective sleep conducted in the home environment and subjective measures of sleep quality (Pittsburgh Sleep Questionnaire Index) were compared using linear regression models.
RESULTS: On objective assessments, depressed women with VMS spent less time in bed (by 64.8 min; P < 0.001) and had shorter total sleep time (by 47.7 min; P = 0.008), longer sleep-onset latency (by 13.8 min; P = 0.03), and lower sleep efficiency (by 3.2 percentage points; P = 0.09), but did not awaken more or spend more time awake after sleep onset than nondepressed controls with VMS. Depressed women also reported worse sleep quality (mean Pittsburgh Sleep Questionnaire Index 12.0 vs 8.3; P < 0.001). Adjustment for VMS frequency and important demographic characteristics did not alter these associations.
CONCLUSIONS: Sleep quality and selected parameters of objectively measured sleep, but not sleep interruption, are worse in depressed than in nondepressed women with VMS. The type of sleep disturbance seen in depressed participants was not consistent with the etiology of depression secondary to VMS-associated awakenings.

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Year:  2009        PMID: 19197217      PMCID: PMC3405549          DOI: 10.1097/gme.0b013e3181957377

Source DB:  PubMed          Journal:  Menopause        ISSN: 1072-3714            Impact factor:   2.953


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