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. 2022 Feb 1;18(2):415-421.
doi: 10.5664/jcsm.9586.

Discrepancies between self-reported and device-measured sleep parameters in adults with multiple sclerosis

Katie L J Cederberg  1   2 , Brianna G Mathison  2 , Morgan L Schuetz  2 , Robert W Motl  2
Affiliations

Discrepancies between self-reported and device-measured sleep parameters in adults with multiple sclerosis

Katie L J Cederberg et al. J Clin Sleep Med. .

Abstract

Study objectives: Sleep problems are a common consequence of multiple sclerosis; however, there is limited evidence regarding the agreement between device-measured and self-reported sleep parameters in adults with multiple sclerosis. The present study examined the agreement between self-reported and device-measured parameters of sleep quality in a sample of adults with multiple sclerosis.

Methods: Participants (n = 49) completed a 7-day sleep diary and wore a wrist-worn ActiGraph GT3×+ (ActiGraph Corp., Pensecola, FL) for seven consecutive nights to quantify self-reported and device-measured sleep parameters, respectively.

Results: There was a significant discrepancy between self-reported and device-measured parameters of total time in bed (mean difference = 19.8 [51.3] min), sleep onset latency (mean difference = 22.2 [19.5] min), and frequency of awakenings during the night (mean difference = 12.8 [6.8]). Intraclass correlation estimates indicated poor agreement between methods on most parameters, except for total time in bed (intraclass correlation = 0.80). Bland-Altman plots suggested that total time in bed and total sleep time had acceptable levels of agreement and linear regression analyses indicated that sleep onset latency (F = 113.91, B = -1.34, P < .001), number of awakenings (F = 543.34, B = 1.85, P < .001), and sleep efficiency (F = 18.39, B = -0.77, P < .001) had significant proportional bias.

Conclusions: Our results draw attention to the discrepancies between sleep parameter measurements and highlight the importance of including both self-report and device-measured outcomes for a complete and accurate representation of sleep in adults with multiple sclerosis.

Citation: Cederberg KLJ, Mathison BG, Schuetz ML, Motl RW. Discrepancies between self-reported and device-measured sleep parameters in adults with multiple sclerosis. J Clin Sleep Med. 2022;18(2):415-421.

Keywords: actigraphy; multiple sclerosis; sleep; sleep diary.

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Conflict of interest statement

All authors have reviewed and approved the manuscript. Work for this study was performed at the Department of Physical Therapy, University of Alabama at Birmingham, Birmingham, Alabama. This work was supported, in part, by the Eunice Kennedy Shriver National Institute of Child Health & Human Development and the National Heart, Lung, and Blood Institute of the National Institutes of Health (F31HD097903 and T32HL110952). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The authors report no conflicts of interest.

Figures

Figure 1
Figure 1. Bland-Altman plots for illustrating the agreement between self-reported and device-measured sleep parameters in adults with multiple sclerosis (n = 49).
See this image and copyright information in PMC

References

    1. Wallin MT , Culpepper WJ , Campbell JD , et al. ; US Multiple Sclerosis Prevalence Workgroup . The prevalence of MS in the United States: a population-based estimate using health claims data . Neurology. 2019. ; 92 ( 10 ): e1029 – e1040 . - PMC - PubMed
    1. Multiple Sclerosis International Federation . Atlas of MS: Mapping Multiple Sclerosis Around the World. https://www.atlasofms.org/map/global/epidemiology/number-of-people-with-ms . Accessed September 24, 2020.
    1. Sakkas GK , Giannaki CD , Karatzaferi C , Manconi M . Sleep abnormalities in multiple sclerosis . Curr Treat Options Neurol. 2019. ; 21 ( 1 ): 4 . - PubMed
    1. Buratti L , Iacobucci DE , Viticchi G , et al . Sleep quality can influence the outcome of patients with multiple sclerosis . Sleep Med. 2019. ; 58 : 56 – 60 . - PubMed
    1. Ghaem H , Borhani Haghighi A . The impact of disability, fatigue and sleep quality on the quality of life in multiple sclerosis . Ann Indian Acad Neurol. 2008. ; 11 ( 4 ): 236 – 241 . - PMC - PubMed

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