Assessing volume of accelerometry data for reliability in preschool children

Hinkley, Trina, O'Connell, Eoin, Okely, Anthony D., Crawford, David, Hesketh, Kylie and Salmon, Jo 2012, Assessing volume of accelerometry data for reliability in preschool children, Medicine and science in sports and exercise, vol. 44, no. 12, pp. 2436-2441.

Attached Files
Name Description MIMEType Size Downloads

Title Assessing volume of accelerometry data for reliability in preschool children
Author(s) Hinkley, Trina
O'Connell, Eoin
Okely, Anthony D.
Crawford, David
Hesketh, Kylie
Salmon, Jo
Journal name Medicine and science in sports and exercise
Volume number 44
Issue number 12
Start page 2436
End page 2441
Total pages 6
Publisher Lippincott Williams & Wilkins
Place of publication Philadelphia, Pa.
Publication date 2012-12
ISSN 1530-0315
0195-9131
Keyword(s) preschool
accelerometry
reliability
physical activity
Summary Purpose: This study examines what volume of accelerometry data (h·d-1) 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.
Language eng
Field of Research 110699 Human Movement and Sports Science not elsewhere classified
Socio Economic Objective 920501 Child Health
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30050151

Document type: Journal Article
Collection: Centre for Physical Activity and Nutrition Research
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: Scopus Citation Count Cited 3 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 26 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Mon, 21 Jan 2013, 14:00:04 EST by Jane Moschetti

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.