Compensation of Physical Activity and Sedentary Time in Primary School Children

ABSTRACT Purpose There is considerable debate about the possibility of physical activity compensation. This study examined whether increased levels in physical activity and/or sedentary behavior on 1 d were predictive of lower levels in these behaviors on the following day (compensatory mechanisms) among children. Methods Two hundred and forty-eight children (121 boys and 127 girls) age 8–11 yr from nine primary schools in Melbourne, Australia, wore a GT3X+ ActiGraph for seven consecutive days. Time spent in light physical activity (LPA) and moderate- to vigorous-intensity physical activity (MVPA) was derived using age-specific cut points. Sedentary time was defined as 100 counts per minute. Meteorological data (temperature, precipitation, relative humidity, and daylight hours) were obtained daily and matched to accelerometer wear days. Multilevel analyses (day, child, and school) were conducted using generalized linear latent and mixed models. Results On any given day, every additional 10 min spent in MVPA was associated with approximately 25 min less LPA and 5 min less MVPA the following day. Similarly, additional time spent in LPA on any given day was associated with less time in LPA and MVPA the next day. Time spent sedentary was associated with less sedentary time the following day. Adjusting for meteorological variables did not change observed compensation effects. No significant moderating effect of sex was observed. Conclusion The results are consistent with the compensation hypothesis, whereby children appear to compensate their physical activity or sedentary time between days. Additional adjustment for meteorological variables did not change the observed associations. Further research is needed to examine what factors may explain apparent compensatory changes in children’s physical activity and sedentary time.

[1]  S. Gortmaker,et al.  School-day and overall physical activity among youth. , 2013, American journal of preventive medicine.

[2]  J. Sallis,et al.  Using accelerometers in youth physical activity studies: a review of methods. , 2013, Journal of physical activity & health.

[3]  Scott Duncan,et al.  Acceptability of standing workstations in elementary schools: a pilot study. , 2013, Preventive medicine.

[4]  W. Henley,et al.  Effectiveness of intervention on physical activity of children: systematic review and meta-analysis of controlled trials with objectively measured outcomes (EarlyBird 54) , 2012, BMJ : British Medical Journal.

[5]  A. Okely,et al.  Physical activity during school recess: a systematic review. , 2012, American journal of preventive medicine.

[6]  Kate Ridley,et al.  Agreement between activPAL and ActiGraph for assessing children's sedentary time , 2012, International Journal of Behavioral Nutrition and Physical Activity.

[7]  D. Dunstan,et al.  A cluster-randomized controlled trial to reduce sedentary behavior and promote physical activity and health of 8-9 year olds: The Transform-Us! Study , 2011, BMC public health.

[8]  R. Mackett,et al.  Activity compensation and activity synergy in British 8-13 year olds. , 2011, Preventive medicine.

[9]  J. Reilly Can we modulate physical activity in children? , 2011, International Journal of Obesity.

[10]  T J Wilkin,et al.  The impact of school-time activity on total physical activity: the activitystat hypothesis (EarlyBird 46) , 2011, International Journal of Obesity.

[11]  R. Mackett,et al.  Day length and weather effects on children's physical activity and participation in play, sports and active travel , 2011, Journal of Epidemiology & Community Health.

[12]  T. Wilkin,et al.  Can we modulate physical activity in children?No , 2011, International Journal of Obesity.

[13]  Stewart G Trost,et al.  Comparison of accelerometer cut points for predicting activity intensity in youth. , 2011, Medicine and science in sports and exercise.

[14]  Mary Duggan,et al.  New Canadian physical activity guidelines. , 2011, Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme.

[15]  I. Janssen,et al.  Systematic review of the health benefits of physical activity and fitness in school-aged children and youth , 2010, The international journal of behavioral nutrition and physical activity.

[16]  J. Stevens,et al.  Compensation or displacement of physical activity in middle school girls: The Trial of Activity for Adolescent Girls , 2010, International Journal of Obesity.

[17]  Catherine B. Chan,et al.  Assessing the Effects of Weather Conditions on Physical Activity Participation Using Objective Measures , 2009, International journal of environmental research and public health.

[18]  A. Rowlands Methodological approaches for investigating the biological basis for physical activity in children. , 2009, Pediatric exercise science.

[19]  J. O'Loughlin,et al.  Influence of weather conditions and season on physical activity in adolescents. , 2009, Annals of epidemiology.

[20]  L. Mâsse,et al.  Physical activity in the United States measured by accelerometer. , 2008, Medicine and science in sports and exercise.

[21]  N. Wareham,et al.  Use of accelerometers in a large field-based study of children: protocols, design issues, and effects on precision. , 2008, Journal of physical activity & health.

[22]  R. Pangrazi,et al.  What Are the Contributory and Compensatory Relationships Between Physical Education and Physical Activity in Children? , 2007, Research quarterly for exercise and sport.

[23]  S. Griffin,et al.  Effectiveness of interventions to promote physical activity in children and adolescents: systematic review of controlled trials , 2009 .

[24]  J. Twisk,et al.  A brief review on correlates of physical activity and sedentariness in youth. , 2007, Medicine and science in sports and exercise.

[25]  J. Salmon,et al.  Promoting physical activity participation among children and adolescents. , 2007, Epidemiologic reviews.

[26]  B. Metcalf,et al.  Variation in physical activity lies with the child, not his environment: evidence for an ‘activitystat’ in young children (EarlyBird 16) , 2006, International Journal of Obesity.

[27]  Patty Freedson,et al.  Calibration of accelerometer output for children. , 2005, Medicine and science in sports and exercise.

[28]  Sophia Rabe-Hesketh,et al.  Multilevel and Longitudinal Modeling Using Stata , 2005 .

[29]  Linda Voss,et al.  Physical activity cost of the school run: impact on schoolchildren of being driven to school (EarlyBird 22) , 2004, BMJ : British Medical Journal.

[30]  Angie S Page,et al.  Commuting to school: are children who walk more physically active? , 2003, American journal of preventive medicine.

[31]  C B Corbin,et al.  Restricting Opportunities to Be Active during School Time: Do Children Compensate by Increasing Physical Activity Levels after School? , 2000, Research quarterly for exercise and sport.

[32]  J. Prochaska,et al.  A review of correlates of physical activity of children and adolescents. , 2000, Medicine and science in sports and exercise.

[33]  J. Stoker,et al.  The Department of Health and Human Services. , 1999, Home healthcare nurse.

[34]  P. D. Watson,et al.  Validity of the computer science and applications (CSA) activity monitor in children. , 1998, Medicine and science in sports and exercise.

[35]  T. Rowland The biological basis of physical activity. , 1998, Medicine and science in sports and exercise.

[36]  Joop J. Hox,et al.  Applied Multilevel Analysis. , 1995 .

[37]  J. B. Gregg,et al.  DEPARTMENT OF HEALTH. , 1910, California state journal of medicine.