Literature DB >> 7564970

The level and tempo of children's physical activities: an observational study.

R C Bailey1, J Olson, S L Pepper, J Porszasz, T J Barstow, D M Cooper.   

Abstract

We develop an observation system that quantifies the duration, intensity, and frequency of children's physical activities. We use this system to assess the level and tempo of energy expenditure under free-ranging, natural conditions experienced by 15 children aged 6-10 yr in southern California. Observations were recorded every 3 s during 4-h time blocks from 8:00 a.m.-8:00 p.m. Agreement among observers using the coding system was 91%. Using indirect calorimetry, calibration studies in the laboratory determined VO2 (ml.min-1.min-1) during each coded activity, and activities were categorized by intensity (low, medium, or high). Subjects were found to engage in activities of low intensity 77.1% of time and activities of high intensity 3.1% of time. The median duration of low and medium intensity activities was 6 s, of high intensity activities only 3 s with 95% lasting less than 15 s. Children engaged in very short bursts of intense physical activity interspersed with varying intervals of low and moderate intensity. These findings may be important for discovering how children's activity patterns under natural conditions influence physiological processes leading to growth and development. This study demonstrates the advantages of using an observational system that captures more than the intensity and frequency of children's activities to include duration and the length of intervals between activities of varying intensity.

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Year:  1995        PMID: 7564970     DOI: 10.1249/00005768-199507000-00012

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  211 in total

1.  Aerobic responses of prepubertal boys to two modes of training.

Authors:  C A Williams; N Armstrong; J Powell
Journal:  Br J Sports Med       Date:  2000-06       Impact factor: 13.800

Review 2.  Physical activity assessment in children and adolescents.

Authors:  J R Sirard; R R Pate
Journal:  Sports Med       Date:  2001       Impact factor: 11.136

3.  Use of a two-regression model for estimating energy expenditure in children.

Authors:  Scott E Crouter; Magdalene Horton; David R Bassett
Journal:  Med Sci Sports Exerc       Date:  2012-06       Impact factor: 5.411

Review 4.  Physical activity questionnaires for youth: a systematic review of measurement properties.

Authors:  Mai J M Chinapaw; Lidwine B Mokkink; Mireille N M van Poppel; Willem van Mechelen; Caroline B Terwee
Journal:  Sports Med       Date:  2010-07-01       Impact factor: 11.136

5.  Physical activity outcomes in afterschool programs: A group randomized controlled trial.

Authors:  Michael W Beets; R Glenn Weaver; Gabrielle Turner-McGrievy; Jennifer Huberty; Dianne S Ward; Russell R Pate; Darcy Freedman; Brent Hutto; Justin B Moore; Matteo Bottai; Jessica Chandler; Keith Brazendale; Aaron Beighle
Journal:  Prev Med       Date:  2016-07-07       Impact factor: 4.018

6.  Non-random fluctuations in power output during self-paced exercise.

Authors:  R Tucker; A Bester; E V Lambert; T D Noakes; C L Vaughan; A St Clair Gibson
Journal:  Br J Sports Med       Date:  2006-09-15       Impact factor: 13.800

7.  Ambulatory activity monitoring in youth: state of the science.

Authors:  Kristie F Bjornson; Basia Belza
Journal:  Pediatr Phys Ther       Date:  2004       Impact factor: 3.049

8.  Motor activity and intra-individual variability according to sleep-wake states in preschool-aged children with iron-deficiency anemia in infancy.

Authors:  R M Angulo-Barroso; P Peirano; C Algarin; N Kaciroti; B Lozoff
Journal:  Early Hum Dev       Date:  2013-09-14       Impact factor: 2.079

Review 9.  Oxygen uptake kinetic response to exercise in children.

Authors:  Samantha Fawkner; Neil Armstrong
Journal:  Sports Med       Date:  2003       Impact factor: 11.136

10.  The Daily Physical Activity (DPA) policy in Ontario: is it working? an examination using accelerometry-measured physical activity data.

Authors:  Michelle R Stone; Guy E J Faulkner; Laura Zeglen-Hunt; Jennifer Cowie Bonne
Journal:  Can J Public Health       Date:  2012 May-Jun
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