The relationship between excessive daytime sleepiness and depressive and anxiety disorders in women

Hayley, Amie C., Williams, Lana J., Berk, Michael, Kennedy, Gerard A., Jacka, Felice N. and Pasco, Julie A. 2013, The relationship between excessive daytime sleepiness and depressive and anxiety disorders in women, Australian and New Zealand journal of psychiatry, vol. 47, no. 8, pp. 772-778, doi: 10.1177/0004867413490036.

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Title The relationship between excessive daytime sleepiness and depressive and anxiety disorders in women
Author(s) Hayley, Amie C.
Williams, Lana J.ORCID iD for Williams, Lana J.
Berk, MichaelORCID iD for Berk, Michael
Kennedy, Gerard A.
Jacka, Felice N.ORCID iD for Jacka, Felice N.
Pasco, Julie A.ORCID iD for Pasco, Julie A.
Journal name Australian and New Zealand journal of psychiatry
Volume number 47
Issue number 8
Start page 772
End page 778
Total pages 7
Publisher Sage Publications
Place of publication London, England
Publication date 2013-08
ISSN 0004-8674
Keyword(s) anxiety disorders
depressive disorders
Epworth Sleepiness Scale
excessive daytime sleepiness
Summary Objective: Excessive daytime sleepiness (EDS) is a common clinical symptom that affects women more than men. However, the association of excessive sleepiness with depressive and anxiety disorders in the broader population is unclear. The aim of this study was, therefore, to examine the association between excessive daytime sleepiness as measured by the Epworth Sleepiness Scale, and depressive and anxiety disorders in a population-based sample of women.

Using the Structured Clinical Interview for DSM-IV Disorders (Non-Patient) (SCID-I/NP), 944 women aged 20–97 years (median 49 years, IQR 33–65 years) were assessed for depressive and anxiety disorders as part of the Geelong Osteoporosis Study. EDS was assessed using the Epworth Sleepiness Scale (ESS, cut-off > 10). Lifestyle factors were documented by self-report, height and weight were measured, and socioeconomic status categorised according to the Index of Relative Socio-Economic Advantage and Disadvantage.

Overall, 125 (13.2%) of the women were identified with EDS. EDS was associated with an increased likelihood for both current (OR = 2.11, 95% CI 1.10–4.06) and lifetime history (OR = 1.95, 95% CI 1.28–2.97) of depressive disorders, but not anxiety disorders, independent of age and alcohol consumption. These findings were not explained by antidepressant or sedative use, body mass index, physical activity, smoking, or socioeconomic status.

Conclusions: These results suggest that excessive daytime sleepiness is associated with current and lifetime depressive, but not anxiety disorders. Clinically, this highlights the need to take into account the possible bidirectional relationship between depressive disorders and excessive sleepiness when assessing mental health issues in patients with EDS.
Language eng
DOI 10.1177/0004867413490036
Field of Research 119999 Medical and Health Sciences not elsewhere classified
Socio Economic Objective 970111 Expanding Knowledge in the Medical and Health Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Grant ID NHMRC 628912
NHMRC 628582
Copyright notice ©2013, Sage Publishing
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Document type: Journal Article
Collections: Faculty of Health
School of Medicine
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