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Work Habit-Related Sleep Debt; Insights From Factor Identification Analysis of Actigraphy Data.

GOTO Yuki FUJIWARA Koichi 10642514 0000-0002-2929-0561 SUMI Yukiyoshi 10772923 0000-0001-6775-0883 MATSUO Masahiro 70456838 KANO Manabu KADOTANI Hiroshi 90362516 0000-0001-7474-3315 滋賀医科大学

2021.03.10

概要

The present study investigates the factors of "Weekday sleep debt (WSD)" by comparing activity data
collected from persons with and without WSD. Since it has been reported that the amount of sleep debt as
well the difference between the social clock and the biological clock is associated with WSD, specifying the
factors of WSD other than chronotype may contribute to sleep debt prevention. We recruited 324 healthy
male employees working at the same company and collected their 1-week wrist actigraphy data and
answers to questionnaires. Because 106 participants were excluded due to measurement failure of the
actigraphy data, the remaining 218 participants were included in the analysis. All participants were
classified into WSD or non-WSD groups, in which persons had WDS if the difference between their
weekend sleep duration and the mean weekday sleep duration was more than 120 min. We evaluated
multiple measurements derived from the collected actigraphy data and trained a classifier that predicts the
presence of WSD using these measurements. A support vector machine (SVM) was adopted as the
classifier. In addition, to evaluate the contribution of each indicator to WSD, permutation feature
importance was calculated based on the trained classifier. Our analysis results showed significant
importance of the following three out of the tested 32 factors: (1) WSD was significantly related to persons
with evening tendency. (2) Daily activity rhythms and sleep were less stable in the WSD group than in the
non-WSD group. (3) A specific day of the week had the highest importance in our data, suggesting that
work habit contributes to WSD. These findings indicate some WSD factors: evening chronotype, instability
of the daily activity rhythm, and differences in work habits on the specific day of the week. Thus, it is
necessary to evaluate the rhythms of diurnal activities as well as sleep conditions to identify the WSD
factors. In particular, the diurnal activity rhythm influences WSD. It is suggested that proper management
of activity rhythm may contribute to the prevention of sleep debt.

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Conflict of Interest: KF is with Quadlytics Inc. as well as Nagoya University. MK is

with Quadlytics Inc. as well as Kyoto University. HK’s laboratory, the Department

of Sleep and Behavioral Sciences is an endowment department, supported with

unrestricted grants from Fukuda Lifetech Co., Ltd., Fukuda Life Tech Keiji Co.,

Ltd., Tanaka Sleep Clinic, Akita Sleep Clinic, and Ai Ai Care Co., Ltd.

The remaining authors declare that the research was conducted in the absence of

any commercial or financial relationship that could be construed as a potential

conflict of interest.

Copyright © 2021 Goto, Fujiwara, Sumi, Matsuo, Kano and Kadotani. This is an

open-access article distributed under the terms of the Creative Commons Attribution

License (CC BY). The use, distribution or reproduction in other forums is permitted,

provided the original author(s) and the copyright owner(s) are credited and that the

original publication in this journal is cited, in accordance with accepted academic

practice. No use, distribution or reproduction is permitted which does not comply

with these terms.

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