Literature DB >> 22776873

Assessing volume of accelerometry data for reliability in preschool children.

Trina Hinkley1, Eoin O'Connell, Anthony D Okely, David Crawford, Kylie Hesketh, Jo Salmon.   

Abstract

PURPOSE: This study examines what volume of accelerometry data (h·d) is required to reliably estimate preschool children's physical activity and whether it is necessary to include weekday and weekend data.
METHODS: Accelerometry data from 493 to 799 (depending on wear time) preschool children from the Melbourne-based Healthy Active Preschool Years study were used. The percentage of wear time each child spent in total (light-vigorous) physical activity was the main outcome. Hourly increments of daily data were analyzed. t-tests, controlling for age and clustering by center of recruitment, assessed the differences between weekday and weekend physical activity. Intraclass correlation coefficients estimated reliability for an individual day. Spearman-Brown prophecy formula estimated the number of days required to reach reliability estimates of 0.7, 0.8, and 0.9.
RESULTS: The children spent a significantly greater percentage of time being physically active on weekend compared with weekdays regardless of the minimum number of hours included (t = 12.49-16.76, P < 0.001 for all). The number of days required to reach each of the predetermined reliability estimates increased as the number of hours of data per day decreased. For instance, 2.7-2.8 d of data were required to reach a reliability estimate of 0.7 with 10 or more hours of data per day; 3.3-3.4 d were required to meet the same reliability estimate for days with 7 h of data.
CONCLUSIONS: Future studies should ensure they include the minimum amount of data (hours per day and number of days) as identified in this study to meet at least a 0.7 reliability level and should report the level of reliability for their study. In addition to weekdays, at least one weekend day should be included in analyses to reliably estimate physical activity levels for preschool children.

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Year:  2012        PMID: 22776873     DOI: 10.1249/MSS.0b013e3182661478

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


  39 in total

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Authors:  Elizabeth Erin Dawson-Hahn; Megan D Fesinmeyer; Jason A Mendoza
Journal:  Pediatr Exerc Sci       Date:  2015-06-01       Impact factor: 2.333

2.  Role of parental and environmental characteristics in toddlers' physical activity and screen time: Bayesian analysis of structural equation models.

Authors:  Eun-Young Lee; Kylie D Hesketh; Ryan E Rhodes; Christina M Rinaldi; John C Spence; Valerie Carson
Journal:  Int J Behav Nutr Phys Act       Date:  2018-02-09       Impact factor: 6.457

3.  Reliability of accelerometer-determined physical activity and sedentary behavior in school-aged children: a 12-country study.

Authors:  T V Barreira; J M Schuna; C Tudor-Locke; J-P Chaput; T S Church; M Fogelholm; G Hu; R Kuriyan; A Kurpad; E V Lambert; C Maher; J Maia; V Matsudo; T Olds; V Onywera; O L Sarmiento; M Standage; M S Tremblay; P Zhao; P T Katzmarzyk
Journal:  Int J Obes Suppl       Date:  2015-12-08

4.  Volume and accumulation patterns of physical activity and sedentary time: longitudinal changes and tracking from early to late childhood.

Authors:  Katherine L Downing; Trina Hinkley; Anna Timperio; Jo Salmon; Alison Carver; Dylan P Cliff; Anthony D Okely; Kylie D Hesketh
Journal:  Int J Behav Nutr Phys Act       Date:  2021-03-17       Impact factor: 6.457

5.  Young Children with ASD Participate in the Same Level of Physical Activity as Children Without ASD: Implications for Early Intervention to Maintain Good Health.

Authors:  S Thomas; T Hinkley; L M Barnett; T May; N Rinehart
Journal:  J Autism Dev Disord       Date:  2019-08

6.  Fit 5 Kids TV Reduction Program for Latino Preschoolers: A Cluster Randomized Controlled Trial.

Authors:  Jason A Mendoza; Tom Baranowski; Sandra Jaramillo; Megan D Fesinmeyer; Wren Haaland; Debbe Thompson; Theresa A Nicklas
Journal:  Am J Prev Med       Date:  2015-11-10       Impact factor: 5.043

7.  Physical activity and motor skills in children attending 43 preschools: a cross-sectional study.

Authors:  Line Grønholt Olesen; Peter Lund Kristensen; Mathias Ried-Larsen; Anders Grøntved; Karsten Froberg
Journal:  BMC Pediatr       Date:  2014-09-12       Impact factor: 2.125

8.  Sociodemographic Predictors of Adherence to National Diet and Physical Activity Guidelines at Age 5 Years: The Healthy Start Study.

Authors:  Traci A Bekelman; Katherine A Sauder; Bonny Rockette-Wagner; Deborah H Glueck; Dana Dabelea
Journal:  Am J Health Promot       Date:  2020-10-29

9.  Reliability of GENEActiv accelerometers to estimate sleep, physical activity, and sedentary time in children.

Authors:  Devan Antczak; Chris Lonsdale; Borja Del Pozo Cruz; Philip Parker; Taren Sanders
Journal:  Int J Behav Nutr Phys Act       Date:  2021-06-06       Impact factor: 6.457

10.  Physical activity in 3-6 year old children measured by SenseWear Pro®: direct accelerometry in the course of the week and relation to weight status, media consumption, and socioeconomic factors.

Authors:  Yvonne Vorwerg; David Petroff; Wieland Kiess; Susann Blüher
Journal:  PLoS One       Date:  2013-04-03       Impact factor: 3.240

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