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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
Siengsukon, Catherine F. Alshehri, Mohammed Aldughmi, Mayis
Siengsukon, Catherine F.
Alshehri, Mohammed
Aldughmi, Mayis
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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.
Date
2018-10-01
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SAGE Publications
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Keywords
Sleep quality, sleep variability, multiple sclerosis, fatigue, anxiety, depression
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