Prediction of Optimal Daily Step Count Achievement from Segmented School Physical Activity
Optimizing physical activity in childhood is needed for prevention of disease and for healthy social and psychological development. There is limited research examining how segmented school physical activity patterns relate to a child achieving optimal physical activity levels. The purpose of this st...
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | Advances in Public Health |
| Online Access: | http://dx.doi.org/10.1155/2015/496248 |
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| author | Ryan D. Burns Timothy A. Brusseau James C. Hannon |
| author_facet | Ryan D. Burns Timothy A. Brusseau James C. Hannon |
| author_sort | Ryan D. Burns |
| collection | DOAJ |
| description | Optimizing physical activity in childhood is needed for prevention of disease and for healthy social and psychological development. There is limited research examining how segmented school physical activity patterns relate to a child achieving optimal physical activity levels. The purpose of this study was to examine the predictive relationship between step counts during specific school segments and achieving optimal school (6,000 steps/day) and daily (12,000 steps/day) step counts in children. Participants included 1,714 school-aged children (mean age = 9.7±1.0 years) recruited across six elementary schools. Physical activity was monitored for one week using pedometers. Generalized linear mixed effects models were used to determine the adjusted odds ratios (ORs) of achieving both school and daily step count standards for every 1,000 steps taken during each school segment. The school segment that related in strongest way to a student achieving 6,000 steps during school hours was afternoon recess (OR = 40.03; P<0.001) and for achieving 12,000 steps for the entire day was lunch recess (OR = 5.03; P<0.001). School segments including lunch and afternoon recess play an important role for optimizing daily physical activity in children. |
| format | Article |
| id | doaj-art-04b5e648a49844eba6b635381f3c5782 |
| institution | Kabale University |
| issn | 2356-6868 2314-7784 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Public Health |
| spelling | doaj-art-04b5e648a49844eba6b635381f3c57822025-02-03T05:51:20ZengWileyAdvances in Public Health2356-68682314-77842015-01-01201510.1155/2015/496248496248Prediction of Optimal Daily Step Count Achievement from Segmented School Physical ActivityRyan D. Burns0Timothy A. Brusseau1James C. Hannon2Department of Exercise and Sport Science, College of Health, University of Utah, 250 S. 1850 E., HPER North, RM 241, Salt Lake City, UT 84112, USADepartment of Exercise and Sport Science, College of Health, University of Utah, 250 S. 1850 E., HPER North, RM 241, Salt Lake City, UT 84112, USACollege of Physical Activity and Sport Sciences, West Virginia University, 375 Birch Street, P.O. Box 6116, Morgantown, WV 26505, USAOptimizing physical activity in childhood is needed for prevention of disease and for healthy social and psychological development. There is limited research examining how segmented school physical activity patterns relate to a child achieving optimal physical activity levels. The purpose of this study was to examine the predictive relationship between step counts during specific school segments and achieving optimal school (6,000 steps/day) and daily (12,000 steps/day) step counts in children. Participants included 1,714 school-aged children (mean age = 9.7±1.0 years) recruited across six elementary schools. Physical activity was monitored for one week using pedometers. Generalized linear mixed effects models were used to determine the adjusted odds ratios (ORs) of achieving both school and daily step count standards for every 1,000 steps taken during each school segment. The school segment that related in strongest way to a student achieving 6,000 steps during school hours was afternoon recess (OR = 40.03; P<0.001) and for achieving 12,000 steps for the entire day was lunch recess (OR = 5.03; P<0.001). School segments including lunch and afternoon recess play an important role for optimizing daily physical activity in children.http://dx.doi.org/10.1155/2015/496248 |
| spellingShingle | Ryan D. Burns Timothy A. Brusseau James C. Hannon Prediction of Optimal Daily Step Count Achievement from Segmented School Physical Activity Advances in Public Health |
| title | Prediction of Optimal Daily Step Count Achievement from Segmented School Physical Activity |
| title_full | Prediction of Optimal Daily Step Count Achievement from Segmented School Physical Activity |
| title_fullStr | Prediction of Optimal Daily Step Count Achievement from Segmented School Physical Activity |
| title_full_unstemmed | Prediction of Optimal Daily Step Count Achievement from Segmented School Physical Activity |
| title_short | Prediction of Optimal Daily Step Count Achievement from Segmented School Physical Activity |
| title_sort | prediction of optimal daily step count achievement from segmented school physical activity |
| url | http://dx.doi.org/10.1155/2015/496248 |
| work_keys_str_mv | AT ryandburns predictionofoptimaldailystepcountachievementfromsegmentedschoolphysicalactivity AT timothyabrusseau predictionofoptimaldailystepcountachievementfromsegmentedschoolphysicalactivity AT jameschannon predictionofoptimaldailystepcountachievementfromsegmentedschoolphysicalactivity |