Literature DB >> 31563008

Using big data to explore worldwide trends in objective sleep in the transition to adulthood.

L Kuula1, M Gradisar2, K Martinmäki3, C Richardson4, D Bonnar2, K Bartel2, C Lang5, L Leinonen3, A K Pesonen6.   

Abstract

BACKGROUND: Development induces changes in sleep, and its duration has been reported to change as a function of aging. Additionally, sleep timing is a marker of pubertal maturation, where during adolescence, the circadian rhythm shifts later. Typically, this is manifested in a later sleep onset in the evening and later awakening in the morning. These changes across development seem to be universal around the world but are unlikely to persist into adulthood.
METHODS: This study utilized accelerometer data from 17,355 participants aged 16-30 years (56% female) measured by validated Polar wearables over a 14-day period. We compared sleep duration, chronotype (sleep midpoint) and weekend catch-up (ie, social jetlag) sleep across ages and regions over 242,948 nights.
RESULTS: The data indicate a decline in sleep duration as well as a dramatic shift in sleep onset times throughout adolescence. This continues well into early adulthood and stabilizes nearer age 30. Differences in sleep duration across ages were significant, and ranged from 7:53 h at age 16 to 7:29 h at age 30 in the sample. Additionally, there was a clear difference between females and males throughout adolescence and young adulthood: girls had longer sleep duration and earlier timed sleep in the current study. Differences in sleep were found between regions across the world, and across European areas.
CONCLUSIONS: Both sleep duration and sleep timing go through a clear developmental pattern, particularly in early adulthood. Females had an earlier sleep midpoint and obtained more sleep. Regional differences in sleep occurred across the world. Crown
Copyright © 2019. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Adolescence; Fitness tracker; Wearable; Worldwide sleep

Year:  2019        PMID: 31563008     DOI: 10.1016/j.sleep.2019.07.024

Source DB:  PubMed          Journal:  Sleep Med        ISSN: 1389-9457            Impact factor:   3.492


  12 in total

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Journal:  Nat Hum Behav       Date:  2022-02-24

2.  Effect of wearables on sleep in healthy individuals: a randomized crossover trial and validation study.

Authors:  Sarah Berryhill; Christopher J Morton; Adam Dean; Adam Berryhill; Natalie Provencio-Dean; Salma I Patel; Lauren Estep; Daniel Combs; Saif Mashaqi; Lynn B Gerald; Jerry A Krishnan; Sairam Parthasarathy
Journal:  J Clin Sleep Med       Date:  2020-02-11       Impact factor: 4.062

3.  Meta-analysis of age and actigraphy-assessed sleep characteristics across the lifespan.

Authors:  Marissa A Evans; Daniel J Buysse; Anna L Marsland; Aidan G C Wright; Jill Foust; Lucas W Carroll; Naina Kohli; Rishabh Mehra; Adam Jasper; Swathi Srinivasan; Martica H Hall
Journal:  Sleep       Date:  2021-09-13       Impact factor: 5.849

4.  Age and gender differences in objective sleep properties using large-scale body acceleration data in a Japanese population.

Authors:  Li Li; Toru Nakamura; Junichiro Hayano; Yoshiharu Yamamoto
Journal:  Sci Rep       Date:  2021-05-11       Impact factor: 4.379

5.  The Role of BTBD9 in the Cerebellum, Sleep-like Behaviors and the Restless Legs Syndrome.

Authors:  Shangru Lyu; Hong Xing; Mark P DeAndrade; Pablo D Perez; Fumiaki Yokoi; Marcelo Febo; Arthur S Walters; Yuqing Li
Journal:  Neuroscience       Date:  2020-05-22       Impact factor: 3.590

6.  Performance of Fitbit Charge 3 against polysomnography in measuring sleep in adolescent boys and girls.

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7.  Age Trends in Actigraphy and Self-Report Sleep Across the Life Span: Findings From the Pittsburgh Lifespan Sleep Databank.

Authors:  Meredith L Wallace; Nicholas Kissel; Martica H Hall; Anne Germain; Karen A Matthews; Wendy M Troxel; Peter L Franzen; Daniel J Buysse; Charles Reynolds; Kathryn A Roecklein; Heather E Gunn; Brant P Hasler; Tina R Goldstein; Dana L McMakin; Eva Szigethy; Adriane M Soehner
Journal:  Psychosom Med       Date:  2022-01-28       Impact factor: 3.864

8.  The Development and Accuracy of the THIM Wearable Device for Estimating Sleep and Wakefulness.

Authors:  Hannah Scott; Nicole Lovato; Leon Lack
Journal:  Nat Sci Sleep       Date:  2021-01-12

9.  Sleep Characteristics and Mood of Professional Esports Athletes: A Multi-National Study.

Authors:  Sangha Lee; Daniel Bonnar; Brandy Roane; Michael Gradisar; Ian C Dunican; Michele Lastella; Gemma Maisey; Sooyeon Suh
Journal:  Int J Environ Res Public Health       Date:  2021-01-14       Impact factor: 3.390

10.  The Promise of Sleep: A Multi-Sensor Approach for Accurate Sleep Stage Detection Using the Oura Ring.

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Journal:  Sensors (Basel)       Date:  2021-06-23       Impact factor: 3.576

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