Prediction of Optimal Daily Step Count Achievement from Segmented School Physical Activity
المؤلفون المشاركون
Burns, Ryan
Hannon, James C.
Brusseau, Timothy A.
المصدر
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-6، 6ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-12-16
دولة النشر
مصر
عدد الصفحات
6
التخصصات الرئيسية
الملخص EN
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.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Burns, Ryan& Brusseau, Timothy A.& Hannon, James C.. 2015. Prediction of Optimal Daily Step Count Achievement from Segmented School Physical Activity. Advances in Public Health،Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1053847
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Burns, Ryan…[et al.]. Prediction of Optimal Daily Step Count Achievement from Segmented School Physical Activity. Advances in Public Health No. 2015 (2015), pp.1-6.
https://search.emarefa.net/detail/BIM-1053847
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Burns, Ryan& Brusseau, Timothy A.& Hannon, James C.. Prediction of Optimal Daily Step Count Achievement from Segmented School Physical Activity. Advances in Public Health. 2015. Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1053847
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1053847
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر