Factors associated with sleep duration among pupils
Corresponding Author
Jun Kohyama
Department of Pediatrics, Tokyo Bay Urayasu Ichikawa Medical Centre, Urayasu, Japan
Correspondence Jun Kohyama, CEO, Tokyo Bay Urayasu Ichikawa Medical Centre, Toudaijima 3-4-32, Urayasu 279-0001, Japan.
Email: [email protected]
Search for more papers by this authorMakoto Ono
Department of Pediatrics, Tokyo Bay Urayasu Ichikawa Medical Centre, Urayasu, Japan
Search for more papers by this authorYuki Anzai
Department of Pediatrics, Tokyo Bay Urayasu Ichikawa Medical Centre, Urayasu, Japan
Search for more papers by this authorAi Kishino
Department of Pediatrics, Tokyo Bay Urayasu Ichikawa Medical Centre, Urayasu, Japan
Search for more papers by this authorKeita Tamanuki
Department of Pediatrics, Tokyo Bay Urayasu Ichikawa Medical Centre, Urayasu, Japan
Search for more papers by this authorKengo Moriyama
Department of Pediatrics, Tokyo Bay Urayasu Ichikawa Medical Centre, Urayasu, Japan
Search for more papers by this authorYoko Saito
Department of Pediatrics, Tokyo Bay Urayasu Ichikawa Medical Centre, Urayasu, Japan
Search for more papers by this authorRuna Emoto
Department of Pediatrics, Tokyo Bay Urayasu Ichikawa Medical Centre, Urayasu, Japan
Search for more papers by this authorGeorge Fuse
Department of Pediatrics, Tokyo Bay Urayasu Ichikawa Medical Centre, Urayasu, Japan
Search for more papers by this authorYoshiho Hatai
Department of Pediatrics, Tokyo Bay Urayasu Ichikawa Medical Centre, Urayasu, Japan
Search for more papers by this authorCorresponding Author
Jun Kohyama
Department of Pediatrics, Tokyo Bay Urayasu Ichikawa Medical Centre, Urayasu, Japan
Correspondence Jun Kohyama, CEO, Tokyo Bay Urayasu Ichikawa Medical Centre, Toudaijima 3-4-32, Urayasu 279-0001, Japan.
Email: [email protected]
Search for more papers by this authorMakoto Ono
Department of Pediatrics, Tokyo Bay Urayasu Ichikawa Medical Centre, Urayasu, Japan
Search for more papers by this authorYuki Anzai
Department of Pediatrics, Tokyo Bay Urayasu Ichikawa Medical Centre, Urayasu, Japan
Search for more papers by this authorAi Kishino
Department of Pediatrics, Tokyo Bay Urayasu Ichikawa Medical Centre, Urayasu, Japan
Search for more papers by this authorKeita Tamanuki
Department of Pediatrics, Tokyo Bay Urayasu Ichikawa Medical Centre, Urayasu, Japan
Search for more papers by this authorKengo Moriyama
Department of Pediatrics, Tokyo Bay Urayasu Ichikawa Medical Centre, Urayasu, Japan
Search for more papers by this authorYoko Saito
Department of Pediatrics, Tokyo Bay Urayasu Ichikawa Medical Centre, Urayasu, Japan
Search for more papers by this authorRuna Emoto
Department of Pediatrics, Tokyo Bay Urayasu Ichikawa Medical Centre, Urayasu, Japan
Search for more papers by this authorGeorge Fuse
Department of Pediatrics, Tokyo Bay Urayasu Ichikawa Medical Centre, Urayasu, Japan
Search for more papers by this authorYoshiho Hatai
Department of Pediatrics, Tokyo Bay Urayasu Ichikawa Medical Centre, Urayasu, Japan
Search for more papers by this authorAbstract
Background
Sleep shortage has been pervasive among pupils.
Methods
Multiple regression analysis was used to analyze 2,722 questionnaires obtained from grade 5 to 12 pupils, to determine factors associated with sleep duration.
Results
Significant regression formulae for sleep duration were obtained for all school types: adjusted R2/ P value were 0.14/<0.001 for elementary school; 0.11/<0.001 for junior high school; 0.06/<0.001 for high school. Longer after-school activities (standardized regression coefficient/ P value were −0.22/<0.001 for elementary school; −0.10/<0.01 for junior high school; −0.18/<0.001 for high school) and more sleepiness (−0.09/<0.001 for elementary school; −0.07/<0.05 for junior high school; −0.07/<0.05 for high school) were significantly associated with reduced sleep duration for all school types. In both elementary and junior high schools, the higher grade (−0.53/<0.001 for elementary school; −0.10/<0.01 for junior high school), and longer weekday screen time (−0.15/<0.001 for elementary school; −0.19/<0.001 for junior high school) were also significantly associated with sleep loss. In elementary school, irregular dinner (−0.07/<0.05), breakfast skipping (−0.11/<0.001), longer weekend screen time (−0.09/<0.05) and better self-reported academic performance (0.07/<0.05) also revealed significant associations with sleep loss. In high school, reduction of sleep duration was also significantly associated with higher standardized body mass index (−0.08/<0.05).
Conclusions
Excessive after-school activity might be considered in association with pupils’ sleep reduction.
Disclosure
The authors declare no conflict of interest.
References
- 1Mindell JA, Owens J, Alves R et al. Give children and adolescents the gift of a good night’s sleep: A call to action. Sleep Med. 2011; 12: 203–4.
- 2Yokomaku A, Misao K, Omoto F et al. A study of the association between sleep habits and problematic behaviors in preschool children. Chronobiol. Int. 2008; 25: 549–64.
- 3Taki Y, Hashizume H, Thyreau B et al. SD during weekdays affects hippocampal gray matter volume in healthy children. NeuroImage 2012; 60: 471–5.
- 4Schlarb AA, Sopp R, Ambiel D, Grünwald J. Chronotype-related differences in childhood and adolescent aggression and antisocial behavior—a review of the literature. Chronobiol. Int. 2014; 31: 1–16.
- 5Osonoi Y, Mita T, Osonoi T et al. Morningness-eveningness questionnaire score and metabolic parameters in patients with type 2 diabetes mellitus. Chronobiol. Int. 2014; 31: 1017–23.
- 6Dumuid D, Olds T, Martín-Fernández JA, Lewis LK, Cassidy L, Maher C. Academic performance and lifestyle behaviors in Australian school children: a cluster analysis. Health Educ. Behav. 2017; 44: 918–27.
- 7Iemura A, Iwasaki M, Yamakawa N et al. Influence of sleep-onset time on the development of 18-month-old infants: Japan children’s cohort study. Brain Dev. 2016; 38: 364–72.
- 8Kohyama J. The possible long-term effects of early-life circadian rhythm disturbance on social behavior. Expert Rev. Neurother. 2014; 14: 745–55.
- 9Kohyama J. Neural basis of brain dysfunction produced by early sleep problems. Brain Sci. 2016; 6: E5.
- 10Kohyama J. Good daily habits during the early stages of life determine success throughout life. Sleep Sci. 2016; 9: 153–7.
- 11Taheri S. The link between short SD and obesity: We should recommend more sleep to prevent obesity. Arch. Dis. Child. 2006; 91: 881–4.
- 12Greer SM, Goldstein AN, Walker MP. The impact of sleep deprivation on food desire in the human brain. Nat. Commun. 2013; 4: 2259.
- 13Kohyama J. Obesity, insulin resistance, hypertension and sleep in the child. Int. J. Child Health Nutrit. 2012; 1: 23–7.
- 14Olds T, Maher C, Blunden S, Matricciani L. Normative data on the sleep habits of Australian children and adolescents. Sleep 2010; 33: 1381–8.
- 15 Japan Society of School Health. Annual Reports on Health of Children Attending Elementary Schools and Junior High Schools in 2014. Japan Society of School Health, Tokyo, 2016.
- 16Kohyama J, Anzai Y, Ono M et al. Insufficient sleep syndrome: an unrecognized but important clinical entity. Pediatr. Int. 2018; 60: 372–5.
- 17Carskadon MA, Dement WC. Normal human sleep: an overview. In: MH Kryger, T Roth, WC Dement (eds). Principles and Practice of Sleep Medicine, 6th edn. Elsevier Saunders, Philadelphia, 2017; 15–24.
10.1016/B978-0-323-24288-2.00002-7 Google Scholar
- 18Paruthi S, Brooks LJ, D’Ambrosio C et al. Recommended amount of sleep for pediatric populations: A consensus statement of the American Academy of Sleep Medicine. J. Clin. Sleep Med. 2016; 12: 785–6.
- 19Wheaton AG, Jones SE, Cooper AC, Croft JB. Short sleep duration among middle school and high school students—United States, 2015. Morb. Mortal. Wkly. Rep. 2018; 67: 85–90.
- 20Vijakkhana N, Wilaisakditipakorn T, Ruedeekhajorn K, Pruksananonda C, Chonchaiya W. Evening media exposure reduces night-time sleep. Acta Paediatr. 2015; 104: 306–12.
- 21Carter B, Rees P, Hale L, Bhattacharjee D, Paradkar MS. Association between portable screen-based media device access or use and sleep outcomes: A systematic review and meta-analysis. JAMA Pediatr. 2016; 170: 1202–8.
- 22Reid CYL, Radesky J, Christakis D, Moreno MA, Cross C. Council on Communications and Media. Children and adolescents and digital media. Pediatrics 2016; 138: e20162593.
- 23Bruni O, Sette S, Fontanesi L, Baiocco R, Laghi F, Baumgartner E. Technology use and sleep quality in preadolescence and adolescence. J. Clin. Sleep Med. 2015; 11: 1433–41.
- 24Grgic J, Dumuid D, Bengoechea EG et al. Health outcomes associated with reallocations of time between sleep, sedentary behaviour, and physical activity: A systematic scoping review of isotemporal substitution studies. Int. J. Behav. Nutr. Phys. Act. 2018; 13: 69.
- 25Ohta M. The Fifth Report on Basic Study on Learning. Opportunities of Learning Except for School. Available from: https://berd.benesse.jp/up_images/research/3_chp3.pdf [Accessed 10 January, 2020].
- 26Gong QH, Li H, Zhang XH, Zhang T, Cui J, Xu GZ. Associations between sleep duration and physical activity and dietary behaviors in Chinese adolescents: Results from the Youth Behavioral Risk Factor Surveys of 2015. Sleep Med. 2017; 37: 168–73.
- 27Watanabe E, Lee JS, Mori K, Kawakubo K. Clustering patterns of obesity-related multiple lifestyle behaviours and their associations with overweight and family environments: A cross-sectional study in Japanese preschool children. BMJ Open 2016; 6: e012773.
- 28Tam YH, Li AM, So HK et al. Socioenvironmental factors associated with constipation in Hong Kong children and Rome III criteria. J. Pediatr. Gastroenterol. Nutr. 2012; 55: 56–61.
- 29Kohyama J. Self-reported academic performance and lifestyle habits of school children in Japan. Int. J. Child Health Nutrit. 2017; 6: 90–7.
- 30Kohyama J. Short sleep in pupils in Japan: Current status and associated factors. OBM Neurobiol. 2019; 3: 14.
10.21926/obm.neurobiol.1903034 Google Scholar
- 31Danielsen YS, Pallesen S, Stormark KM, Nordhus IH, Bjorvatn B. The relationship between school day sleep duration and body mass index in Norwegian children (aged 10–12). Int. J. Pediatr. Obes. 2010; 3: 214–20.
10.3109/17477160903473739 Google Scholar
- 32 American Psychological Association. Publication Manual of the American Psychological Association, 5th edn. American Psychological Association, Washington, DC, 2002.
- 33 CoeR. It's the Effect Size, Stupid. What Effect Size is and Why it is Important. Available from: https://www.leeds.ac.uk/educol/documents/00002182.htm. Accessed 10 January, 2020.
- 34Olejnik S, Algina J. Measures of effect size for comparative studies: Applications, interpretations and limitations. Contemp. Educ. Psychol. 2000; 25: 241–86.
- 35Mizumoto A, Takeuchi O. Basics and considerations for reporting effect sizes in research papers [in Japanese]. Study Engl. Lang. Teach. 2008; 31: 57–66.
- 36Roffwarg HD, Muzio JN, Dement WC. Ontogenetic development of the human sleep–dream cycle. Science 1966; 152: 604–19.
- 37Iglowstein I, Jenni OG, Molinari L, Largo RH. SD from infancy to adolescence: Reference values and generational trends. Pediatrics 2003; 111: 302–7.
- 38Jiang X, Hardy LL, Baur LA, Ding D, Wang L, Shi H. Sleep duration, schedule and quality among urban Chinese children and adolescents: associations with routine after-school activities. PLoS ONE 2015; 10: e0115326.
- 39Dietch JR, Taylor DJ, Smyth JM et al. Gender and racial/ethnic differences in SD in the North Texas heart study. Sleep Health 2017; 3: 324–7.
- 40 OECD. Time Use Across the World. 2018. Available from: https://www.oecd.org/gender/data/OECD_1564_TUSupdatePortal.xlsx Accessed 09 October 2018.
- 41Roehrs T, Carskadon MA, Dement WC, Roth T. Daytime sleepiness and alertness. In: MH Kryger, T Roth, WC Dement (eds). Principles and Practice of Sleep Medicine, 6th edn. Elsevier Saunders, Philadelphia, 2017; 39–48.
10.1016/B978-0-323-24288-2.00004-0 Google Scholar
- 42Perez LF, Miller CK, Groner JA. Adolescents with at-risk eating and lifestyle behaviors are affected by after school schedules across the clinical weight spectrum. Patient Educ Couns. 2017; 100: 1511–8.
- 43Kredlow MA, Capozzoli MC, Hearon BA, Calkins AW, Otto MW. The effects of physical activity on sleep: A meta-analytic review. J. Behav. Med. 2015; 38: 427–49.
- 44Kohyama J. Early rising children are more active than late risers. Neuropsychiatr. Dis. Treat. 2007; 3: 959–63.
- 45Ekstedt M, Nyberg G, Ingre M, Ekblom Ö, Marcus C. Sleep, physical activity and BMI in six to ten-year-old children measured by accelerometry: A cross-sectional study. Int. J. Behav. Nutr. Phys. Act. 2013; 10: 82.
- 46Nixon GM, Thompson JM, Han DY et al. Short sleep duration in middle childhood: Risk factors and consequences. Sleep 2008; 31: 71–8.
- 47Ellingson LD, Meyer JD, Shook RP et al. Changes in sedentary time are associated with changes in mental wellbeing over 1 year in young adults. Prev. Med. Rep. 2018; 11: 274–81.
- 48Azemati B, Heshmat R, Qorbani M et al. Association of meal skipping with subjective health complaints in children and adolescents: The CASPIAN-V study. Eat. Weight Disord. 2020. 25: 241–246. https://doi.org/10.1007/s40519-018-0559-1.
- 49Wehrens SMT, Christou S, Isherwood C et al. Meal timing regulates the human circadian system. Curr. Biol. 2017; 27: 1768–75.
- 50Grandner MA, Schopfer EA, Sands-Lincoln M, Jackson N, Malhotra A. Relationship between sleep duration and body mass index depends on age. Obesity 2015; 23: 2491–8.
- 51González Cañete N, Peña D'ardaillon F, Candia Johns Pet al. Relationship between sleep and constipation in the elderly Chileans [article in Spanish]. Nutr. Hosp. 2014; 31: 357–62.
- 52Kohyama J. Sleep, serotonin, and suicide in Japan. J. Physiol. Anthropol. 2011; 30: 1–8.
- 53Lim J, Dinges DF. A meta-analysis of the impact of short-term sleep deprivation on cognitive variables. Psychol. Bull. 2010; 136: 375–89.
- 54Hagiwara A. Construction and validation of psychological scale and its effective utilization in global health research (mini-symposium). J. Int. Health 2014; 28: 7–9.
- 55Kuncel NR, Crede M, Thomas LL. The validity of self-reported grade point averages, class ranks, and test scores: A meta-analysis and review of the literature. Rev. Educ. Res. 2005; 75: 63–82.
- 56Ratelle CF, Duchesne S. Trajectories of psychological need satisfaction from early to late adolescence as a predictor of adjustment in school. Contemp. Educ. Psychol. 2014; 39: 388–400.
- 57Guo J, Marsh HW, Morin AJS, Parker PD, Kaur G. Directionality of the associations of high school expectancy value, aspirations, and attainment: A longitudinal study. Am. Educ. Res. J. 2015; 52: 371–402.
- 58Yeager DS, Romero C, Paunesku D et al. Using design thinking to make psychological interventions ready for scaling: The case of the growth mindset during the transition to high school. J. Educ. Psychol. 2016; 108: 374–91.
- 59Sticca F, Goetz T, Bieg M, Hall NC, Eberle F, Haag L. Examining the accuracy of students' self-reported academic grades from a correlational and a discrepancy perspective: Evidence from a longitudinal study. PLoS ONE 2017; 12: e0187367.
- 60Rosen JA, Porter SR, Rogers J. Understanding student self-reports of academic performance and course-taking behavior. AERA Open 2017; 3: 1–14.
- 61Kitamura S, Katayose Y, Nakazaki K et al. Estimating individual optimal SD and potential sleep debt. Sci. Rep. 2016; 6: 35812.
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