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Predictors for Development of Excessive Daytime Sleepiness in Women: A Population-Based 10-Year Follow-Up
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences.
Stockholm Univ, Stress Res Inst, Stockholm, Sweden..
Stockholm Univ, Stress Res Inst, Stockholm, Sweden.;Stockholm Univ, Dept Psychol, Stockholm, Sweden..
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences.
2015 (English)In: Sleep, ISSN 0161-8105, E-ISSN 1550-9109, Vol. 38, no 12, 1995-2003 p.Article in journal (Refereed) Published
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Abstract [en]

Study Objectives: To analyze predictors of excessive daytime sleepiness (EDS) and to analyze how changes within risk factors over time predict incident EDS in women. Design: Population-based prospective study. Setting: General population of the City of Uppsala, Sweden. Participants: From a random, general population sample of 7,051 women from the Sleep and HEalth in women ("SHE") cohort, 4,322 women without EDS at baseline were followed up after 10 y. Interventions: N/A. Measurements and Results: At baseline and follow-up, women answered a questionnaire on sleeping habits, somatic disease, obesity, insomnia, anxiety and depression, lifestyle, and social factors. The risk of incident EDS was analyzed from changes over time in risk factors using logistic regression modeling. Of the women, EDS developed in 7.9%. Incident: insomnia (adjusted odds ratio = 5.01; 95% confidence interval 3.63-6.92), anxiety and/or depression (3.34; 2.22-5.02), somatic disease (1.73; 1.17-2.55), obesity (1.91; 1.14-2.57), snoring (1.91; 1.17-3.10) and smoking (4.31; 1.95-9.54) were all independent risk factors for the development of EDS. In addition, persistent: insomnia (4.44; 2.97-6.65) and anxiety and/or depression (4.91; 3.17-7.62) increased the risk of developing EDS. Apart from incident: snoring and obesity, similar results were obtained when only including women without somatic disease in the analyses. Conclusion: Insomnia, anxiety and/or depression, and smoking were the most important factors for predicting incident excessive daytime sleepiness (EDS) and, in addition, somatic disease, obesity, and snoring predicted EDS. It is important not only to treat these conditions but also to inform women of the importance of a healthy lifestyle in order to prevent and reduce EDS in women.

Place, publisher, year, edition, pages
2015. Vol. 38, no 12, 1995-2003 p.
Keyword [en]
risk factors, daytime sleepiness, longitudinal, women, population-based
National Category
Neurology
Identifiers
URN: urn:nbn:se:uu:diva-270958DOI: 10.5665/sleep.5258ISI: 000365616300024PubMedID: 26237774OAI: oai:DiVA.org:uu-270958DiVA: diva2:890865
Funder
Swedish Heart Lung Foundation
Available from: 2016-01-05 Created: 2016-01-05 Last updated: 2017-12-01Bibliographically approved

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Theorell-Haglöw, JennyLindberg, Eva

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