Literature DB >> 16298144

Reliable method to estimate characteristics of sleep and physical inactivity in free-living conditions using accelerometry.

Denis Garnier1, Eric Bénéfice.   

Abstract

PURPOSE: The purpose of this study is to use a new method to assess the characteristics of sleep and diurnal physical inactivity in human beings by means of accelerometry, noninvasively and in free-living conditions.
METHODS: Forty girls and 40 boys aged 13 to 15 years, randomly selected from rural Senegal, wore an accelerometer for a 72-hour period during the dry season in 1998 and 2000. An algorithm already tested in another study was used to objectively calculate the characteristics of sleep and physical inactivity from movement registration provided by accelerometry.
RESULTS: Adolescent girls slept for a longer time and more quietly than adolescent boys (8 hours 45 minutes versus 8 hours 9 minutes). Girls were more inactive than boys (4 hours 23 minutes versus 2 hours 49 minutes). Reliability estimates of physical inactivity period measures were excellent (0.74 to 0.78), and those of sleep period and length measures were acceptable (0.45 to 0.61). Girls and boys had the same levels of reliability, except for sleep efficiency measures.
CONCLUSIONS: These findings could be explained by the nature and sex division of habitual tasks within the community. The accelerometer is a valid and useful epidemiologic tool for measuring characteristics of sleep and physical inactivity in free-living conditions. This innovative tool opens new prospects in epidemiology and public health, especially in the worldwide epidemic of chronic diseases associated with physical inactivity and sleep disorders.

Entities:  

Mesh:

Year:  2005        PMID: 16298144     DOI: 10.1016/j.annepidem.2005.07.057

Source DB:  PubMed          Journal:  Ann Epidemiol        ISSN: 1047-2797            Impact factor:   3.797


  4 in total

1.  Improved sleep-wake and behavior discrimination using MEMS accelerometers.

Authors:  Sridhar Sunderam; Nick Chernyy; Nathalia Peixoto; Jonathan P Mason; Steven L Weinstein; Steven J Schiff; Bruce J Gluckman
Journal:  J Neurosci Methods       Date:  2007-03-15       Impact factor: 2.390

Review 2.  How consumer physical activity monitors could transform human physiology research.

Authors:  Stephen P Wright; Tyish S Hall Brown; Scott R Collier; Kathryn Sandberg
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2017-01-04       Impact factor: 3.619

3.  Habitual sleep/wake patterns in the Old Order Amish: heritability and association with non-genetic factors.

Authors:  Daniel S Evans; Soren Snitker; Shih-Hsuan Wu; Aaloke Mody; Omer T Njajou; Michael L Perlis; Philip R Gehrman; Alan R Shuldiner; Wen-Chi Hsueh
Journal:  Sleep       Date:  2011-05-01       Impact factor: 5.849

Review 4.  Temporal trends and correlates of physical activity, sedentary behaviour, and physical fitness among school-aged children in Sub-Saharan Africa: a systematic review.

Authors:  Stella K Muthuri; Lucy-Joy M Wachira; Allana G Leblanc; Claire E Francis; Margaret Sampson; Vincent O Onywera; Mark S Tremblay
Journal:  Int J Environ Res Public Health       Date:  2014-03-20       Impact factor: 3.390

  4 in total

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