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    Self-report sleep quality combined with sleep time variability distinguishes differences in fatigue, anxiety, and depression in individuals with multiple sclerosis: A secondary analysis

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    Issue Date
    2018-10-01
    Author
    Siengsukon, Catherine F.
    Alshehri, Mohammed
    Aldughmi, Mayis
    Publisher
    SAGE Publications
    Type
    Article
    Article Version
    Scholarly/refereed, publisher version
    Rights
    Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
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    Abstract
    Background: Nearly 70% of individuals with multiple sclerosis report sleep disturbances or poor sleep quality. Sleep disturbances may exacerbate or complicate the management of multiple sclerosis-related symptoms. While sleep variability has been associated with several health outcomes, it is unclear how sleep variability is associated with multiple sclerosis-related symptoms. Objective: The purpose of this study was to determine how total sleep time variability combined with self-reported sleep quality is associated with fatigue, depression, and anxiety in individuals with multiple sclerosis. Methods: This study involved a secondary analysis of actigraphy data and questionnaires to assess sleep quality, fatigue, anxiety, and depression. Results: There were significant differences between the Good Sleepers (good sleep quality/low sleep time variability; n¼14) and Bad Sleepers (poor sleep quality/high sleep time variability; n¼23) in overall fatigue (p¼0.003), cognitive (p¼0.002) and psychosocial fatigue (p¼0.01) subscales, and in trait anxiety (p¼0.007). There were significant differences in state (p¼0.004) and trait (p¼0.001) anxiety and depression (p¼0.002) between the Good Sleepers and Poor Reported Sleepers (poor sleep quality/low sleep time variability; n¼24). Conclusion: These results indicate different factors are associated with poor sleep quality in individuals with low versus high total sleep time variability. Considering the factors that are associated with sleep quality and variability may allow for better tailoring of interventions aimed at improving sleep issues or comorbid conditions.
    Description
    A grant from the One-University Open Access Fund at the University of Kansas was used to defray the author's publication fees in this Open Access journal. The Open Access Fund, administered by librarians from the KU, KU Law, and KUMC libraries, is made possible by contributions from the offices of KU Provost, KU Vice Chancellor for Research & Graduate Studies, and KUMC Vice Chancellor for Research. For more information about the Open Access Fund, please see http://library.kumc.edu/authors-fund.xml.
    URI
    http://hdl.handle.net/1808/29459
    DOI
    https://doi.org/10.1177/2055217318815924
    Collections
    • KU Scholarly Papers Funded by the KU Open Access Fund [212]
    Citation
    Siengsukon, C. F., Alshehri, M., & Aldughmi, M. (2018). Self-report sleep quality combined with sleep time variability distinguishes differences in fatigue, anxiety, and depression in individuals with multiple sclerosis: A secondary analysis. Multiple Sclerosis Journal - Experimental, Translational and Clinical. https://doi.org/10.1177/2055217318815924

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    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

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