%0 Journal Article
%T A Proposal on the Novel Method to Estimate Optimal Sleep Duration Based on Self-Reported Survey Data
%A Jun Kohyama
%J Journal of Behavioral and Brain Science
%P 227-239
%@ 2160-5874
%D 2024
%I Scientific Research Publishing
%R 10.4236/jbbs.2024.148014
%X <b>Background:</b> Many adolescents have a sleep debt. Individuals sleeping for their optimal sleep duration are expected to experience no sleepiness. Then, it is important to recognize one¡¯s optimal sleep duration to reduce sleep debt. However, there is no simple method to determine this value. Since body mass index and sleep duration exhibit a U-shaped association, it is expected that a person taking optimal sleep duration would show no marked deviation from the mean body mass index value for the population evaluated. By using self-reported sleepiness and standardized body mass index, this study aimed to estimate individual optimal sleep duration. <b>Methods:</b> Data from 2540 grade 5 - 11 students were used. Students who declared no sleepiness during class and also had a gender- and grade-standardized body mass index of ±1.5 were termed ideal students. The average sleep durations of ideal students were compared with those of non-ideal students. The differences of sleep duration between ideal and no-ideal students were added to habitual sleep duration of each non-ideal student to obtain assumed optimal sleep duration. A multiple regression line to predict assumed optimal sleep duration was calculated using the least squares method. <b>Results:</b> The mean sleep duration of 666 ideal students exceeded the lower limit of daily sleep duration proposed as ¡°may be appropriate¡± for children aged 6 - 17 years by National Sleep Foundation of the USA, being longer than those of non-ideal students. Significant regression formula for assumed optimal sleep duration was obtained (adjusted R2 = 0.996, p < 0.001), and the following formula to estimate daily optimal sleep duration was obtained; 0.714*(sleep duration of weekdays) + 0.284*(sleep duration of non-schooldays) + 0.513*(sleepiness score; 1 - 4) + 0.002*(grade; 5 - 11) + 0.009*[gender (male: 1; female: 2)] − 0.005*(social jetlag) + 0.008* (standardized body mass index) − 0.501. <b>Conclusions:</b> No contradiction was identified in the sleep duration obtained from ideal students as with optimal sleep duration. Although further studies to confirm the current estimation are needed, a simple formula to estimate individual optimal sleep duration through easily obtainable parameters was proposed.
%K Body Mass Index
%K Catch-Up Sleep
%K Insufficient Sleep Syndrome
%K Optimal Sleep Duration
%K Sleepiness
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=135109