Fitness, fatness and the reallocation of time between children’s daily movement behaviours: an analysis of compositional data

BackgroundMovement behaviours performed over a finite period such as a 24 h day are compositional data. Compositional data exist in a constrained simplex geometry that is incongruent with traditional multivariate analytical techniques. However, the expression of compositional data as log-ratio co-ordinate systems transfers them to the unconstrained real space, where standard multivariate statistics can be used. This study aimed to use a compositional data analysis approach to examine the adiposity and cardiorespiratory fitness predictions of time reallocations between children’s daily movement behaviours.MethodsThis study used cross-sectional data from the Active Schools: Skelmersdale study, which involved Year 5 children from a low-income community in northwest England (n = 169). Measures included accelerometer-derived 24 h activity (sedentary time [ST], light physical activity [LPA], moderate-to-vigorous physical activity [MVPA], and sleep), cardiorespiratory fitness determined by the 20 m shuttle run test, objectively measured height, weight and waist circumference (from which zBMI and percent waist circumference-to-height ratio (%WHtR) were derived) and sociodemographic covariates. Log-ratio multiple linear regression models were used to predict adiposity and fitness for the mean movement behaviour composition, and for new compositions where fixed durations of time had been reallocated from one behaviour to another, while the remaining behaviours were unchanged. Predictions were also made for reallocations of fixed durations of time using the mean composition of three different weight status categories (underweight, normal-weight, and overweight/obese) as the starting point.ResultsReplacing MVPA with any other movement behaviour around the mean movement composition predicted higher adiposity and lower CRF. The log-ratio model predictions were asymmetrical: when time was reallocated to MVPA from sleep, ST, or LPA, the estimated detriments to fitness and adiposity were larger in magnitude than the estimated benefits of time reallocation from MVPA to sleep, ST or LPA. The greatest differences in fitness and fatness for reallocation of fixed duration of MVPA were predicted at the mean composition of overweight/obese children.ConclusionsFindings reinforce the key role of MVPA for children’s health. Reallocating time from ST and LPA to MVPA in children is advocated in school, home, and community settings.

[1]  J. Issartel,et al.  The relationship between adolescents’ physical activity, fundamental movement skills and weight status , 2016, Journal of sports sciences.

[2]  R. Davey,et al.  Objectively measured physical activity and sedentary time in youth: the International children’s accelerometry database (ICAD) , 2015, International Journal of Behavioral Nutrition and Physical Activity.

[3]  J. Hannon,et al.  The Effect of a Comprehensive School Physical Activity Program on Physical Activity and Health-Related Fitness in Children From Low-Income Families. , 2016, Journal of physical activity & health.

[4]  Angie S Page,et al.  Active travel and physical activity across the school transition: the PEACH project. , 2012, Medicine and science in sports and exercise.

[5]  T. Saunders,et al.  Interactions between sleep, movement and other non‐movement behaviours in the pathogenesis of childhood obesity , 2017, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[6]  Andy P. Jones,et al.  School polices, programmes and facilities, and objectively measured sedentary time, LPA and MVPA: associations in secondary school and over the transition from primary to secondary school , 2016, International Journal of Behavioral Nutrition and Physical Activity.

[7]  T. Olds,et al.  Systematic review of the relationships between sleep duration and health indicators in school-aged children and youth. , 2016, Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme.

[8]  S. Allender,et al.  The associations between sedentary behaviour and mental health among adolescents: a systematic review , 2016, International Journal of Behavioral Nutrition and Physical Activity.

[9]  M. Dempster,et al.  Self-perception in overweight and obese children: a cross-sectional study. , 2009, Child: care, health and development.

[10]  L. Boddy,et al.  Weekday and weekend sedentary time and physical activity in differentially active children. , 2015, Journal of science and medicine in sport.

[11]  A. Claessens,et al.  Tracking of fatness during childhood, adolescence and young adulthood: a 7-year follow-up study in Madeira Island, Portugal , 2012, Annals of human biology.

[12]  G. L. Warburton,et al.  Promoting healthy weight in primary school children through physical activity and nutrition education: a pragmatic evaluation of the CHANGE! randomised intervention study , 2013, BMC Public Health.

[13]  Renee F Wilson,et al.  What childhood obesity prevention programmes work? A systematic review and meta‐analysis , 2015, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[14]  Joss Langford,et al.  Autocalibration of accelerometer data for free-living physical activity assessment using local gravity and temperature: an evaluation on four continents , 2014, Journal of applied physiology.

[15]  C. Tudor-Locke,et al.  Proportion of children meeting recommendations for 24-hour movement guidelines and associations with adiposity in a 12-country study , 2016, International Journal of Behavioral Nutrition and Physical Activity.

[16]  Ulf Ekelund,et al.  Age group comparability of raw accelerometer output from wrist- and hip-worn monitors. , 2014, Medicine and science in sports and exercise.

[17]  M. Kivimaki,et al.  Physical Activity and Adiposity Markers at Older Ages: Accelerometer Vs Questionnaire Data , 2015, Journal of the American Medical Directors Association.

[18]  Nicola D. Ridgers,et al.  Light-Intensity Physical Activity and Cardiometabolic Biomarkers in US Adolescents , 2013, PloS one.

[19]  J. McGavock,et al.  The importance of parental beliefs and support for pedometer-measured physical activity on school days and weekend days among Canadian children , 2013, BMC Public Health.

[20]  L. Boddy,et al.  Comparison of children’s free-living physical activity derived from wrist and hip raw accelerations during the segmented week , 2017, Journal of sports sciences.

[21]  John Aitchison,et al.  The Statistical Analysis of Compositional Data , 1986 .

[22]  Gregory J. Welk,et al.  Kids are not little adults: what MET threshold captures sedentary behavior in children? , 2015, European Journal of Applied Physiology.

[23]  J. Hannon,et al.  Effect of a Comprehensive School Physical Activity Program on School Day Step Counts in Children. , 2015, Journal of physical activity & health.

[24]  Michael W. Beets,et al.  The theory of expanded, extended, and enhanced opportunities for youth physical activity promotion , 2016, International Journal of Behavioral Nutrition and Physical Activity.

[25]  S. Mehta Waist Circumference to Height Ratio in Children and Adolescents , 2015, Clinical pediatrics.

[26]  Claire LeBlanc,et al.  Canadian 24-Hour Movement Guidelines for Children and Youth: An Integration of Physical Activity, Sedentary Behaviour, and Sleep. , 2016, Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme.

[27]  G. Cardon,et al.  Changes in physical activity during the transition from primary to secondary school in Belgian children: what is the role of the school environment? , 2014, BMC Public Health.

[28]  Laura Stewart,et al.  Effectiveness of Lifestyle Interventions in Child Obesity: Systematic Review With Meta-analysis , 2012, Pediatrics.

[29]  G. Sandercock,et al.  Screen time and passive school travel as independent predictors of cardiorespiratory fitness in youth. , 2012, Preventive medicine.

[30]  M. Tremblay,et al.  Physical activity, sedentary behaviour and sleep in Canadian children: parent-report versus direct measures and relative associations with health risk. , 2012, Health reports.

[31]  V. Pawlowsky-Glahn,et al.  Compositional data analysis : theory and applications , 2011 .

[32]  Bruno Machado de Melo,et al.  Motor competence and health related physical fitness in youth: A systematic review. , 2016, Journal of science and medicine in sport.

[33]  Noriko Yokoyama,et al.  Objectively measured light-intensity lifestyle activity and sedentary time are independently associated with metabolic syndrome: a cross-sectional study of Japanese adults , 2013, International Journal of Behavioral Nutrition and Physical Activity.

[34]  Greet Cardon,et al.  The effect of a cluster randomised control trial on objectively measured sedentary time and parental reports of time spent in sedentary activities in Belgian preschoolers: the ToyBox-study , 2016, International Journal of Behavioral Nutrition and Physical Activity.

[35]  T. Olds,et al.  Combinations of physical activity, sedentary behaviour and sleep: relationships with health indicators in school-aged children and youth. , 2016, Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme.

[36]  M. Chinapaw,et al.  [An evidence-update on the prospective relationship between childhood sedentary behaviour and biomedical health indicators: a systematic review and meta-analysis]. , 2016, Nederlands tijdschrift voor geneeskunde.

[37]  A. S. Singh,et al.  An evidence‐update on the prospective relationship between childhood sedentary behaviour and biomedical health indicators: a systematic review and meta‐analysis , 2016, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[38]  Russell R. Pate,et al.  Systematic review of the relationships between objectively measured physical activity and health indicators in school-aged children and youth. , 2016, Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme.

[39]  Esther M. F. van Sluijs,et al.  Family and home influences on children’s after-school and weekend physical activity , 2012, European journal of public health.

[40]  H. Krumholz,et al.  Patterns of moderate and vigorous physical activity in obese and overweight compared with non-overweight children. , 2011, International journal of pediatric obesity : IJPO : an official journal of the International Association for the Study of Obesity.

[41]  Željko Pedišić,et al.  Measurement issues and poor adjustments for physical activity and sleep undermine sedentary behaviour research—the focus should shift to the balance between sleep, sedentary behaviour, standing and activity , 2014 .

[42]  R. James,et al.  Prediction of habitual physical activity level and weight status from fundamental movement skill level , 2014, Journal of sports sciences.

[43]  Mark S. Tremblay,et al.  Importance of All Movement Behaviors in a 24 Hour Period for Overall Health , 2014, International journal of environmental research and public health.

[44]  Sanford Weisberg,et al.  An R Companion to Applied Regression , 2010 .

[45]  M. Misigoj-Durakovic,et al.  Physical activity levels and estimated energy expenditure in overweight and normal‐weight 11‐year‐old children , 2009, Acta paediatrica.

[46]  Michael Catt,et al.  A Novel, Open Access Method to Assess Sleep Duration Using a Wrist-Worn Accelerometer , 2015, PloS one.

[47]  Daniel P. Bailey,et al.  The Association Between Cardiorespiratory Fitness and Cardiometabolic Risk in Children is Mediated by Abdominal Adiposity: The HAPPY Study. , 2015, Journal of physical activity & health.

[48]  T. Cole,et al.  Establishing a standard definition for child overweight and obesity worldwide: international survey , 2000, BMJ : British Medical Journal.

[49]  Daniel P. Bailey,et al.  Cardiorespiratory Fitness Is Associated with Hard and Light Intensity Physical Activity but Not Time Spent Sedentary in 10–14 Year Old Schoolchildren: The HAPPY Study , 2013, PloS one.

[50]  Serena Tonstad,et al.  Reduction in BMI z-score and improvement in cardiometabolic risk factors in obese children and adolescents. The Oslo Adiposity Intervention Study - a hospital/public health nurse combined treatment , 2011, BMC pediatrics.

[51]  D Colella,et al.  Physical self‐perception and motor performance in normal‐weight, overweight and obese children , 2011, Scandinavian journal of medicine & science in sports.

[52]  R. Plotnikoff,et al.  Patterns of weekday and weekend physical activity in youth in 2 Canadian provinces. , 2013, Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme.

[53]  C. Mølgaard,et al.  Early intervention for childhood overweight: A randomized trial in general practice , 2015, Scandinavian journal of primary health care.

[54]  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.

[55]  G. Stratton,et al.  Influence of Intensity of Physical Activity on Adiposity and Cardiorespiratory Fitness in 5–18 Year Olds , 2011, Sports medicine.

[56]  Lee Smith,et al.  Effects of reallocating time in different activity intensities on health and fitness: a cross sectional study , 2015, International Journal of Behavioral Nutrition and Physical Activity.

[57]  Stephen Hunter,et al.  Systematic review of sedentary behaviour and health indicators in school-aged children and youth: an update. , 2016, Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme.

[58]  N. Cable,et al.  Service evaluation of the GOALS family-based childhood obesity treatment intervention during the first 3 years of implementation , 2015, BMJ Open.

[59]  Heather Del Valle Cook,et al.  Educating the Student Body: Taking Physical Activity and Physical Education to School , 2013 .

[60]  R. Plotnikoff,et al.  Outdoor time is associated with physical activity, sedentary time, and cardiorespiratory fitness in youth. , 2014, The Journal of pediatrics.

[61]  W. Willett,et al.  Isotemporal substitution paradigm for physical activity epidemiology and weight change. , 2009, American journal of epidemiology.

[62]  Mark S Tremblay,et al.  Age and gender differences in youth physical activity: does physical maturity matter? , 2007, Medicine and science in sports and exercise.

[63]  Song Yang,et al.  Imputation of missing data when measuring physical activity by accelerometry. , 2005, Medicine and science in sports and exercise.

[64]  S. Weiss,et al.  Position statement on pediatric sleep for psychiatrists. , 2014, Journal of the Canadian Academy of Child and Adolescent Psychiatry = Journal de l'Academie canadienne de psychiatrie de l'enfant et de l'adolescent.

[65]  Dawn A. Skelton,et al.  Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach , 2015, PloS one.

[66]  Kate Ridley,et al.  Assigning energy costs to activities in children: a review and synthesis. , 2008, Medicine and science in sports and exercise.

[67]  Rachel Davey,et al.  The influence of sport club participation on physical activity, fitness and body fat during childhood and adolescence: The LOOK Longitudinal Study. , 2016, Journal of science and medicine in sport.

[68]  S. Griffin,et al.  Physical Activity Maintenance in the Transition to Adolescence: A Longitudinal Study of the Roles of Sport and Lifestyle Activities in British Youth , 2014, PloS one.

[69]  Stuart J. Fairclough,et al.  ROC Generated Thresholds for Field-Assessed Aerobic Fitness Related to Body Size and Cardiometabolic Risk in Schoolchildren , 2012, PloS one.

[70]  D. Castelli,et al.  Comprehensive School-Based Physical Activity Promotion: A Review , 2013 .

[71]  Ulf Ekelund,et al.  Predictors of change differ for moderate and vigorous intensity physical activity and for weekdays and weekends: a longitudinal analysis , 2013, International Journal of Behavioral Nutrition and Physical Activity.

[72]  T J Cole,et al.  Body mass index reference curves for the UK, 1990. , 1995, Archives of disease in childhood.

[73]  G. Atkinson,et al.  Changes in cardiorespiratory fitness in 9- to 10.9-year-old children: SportsLinx 1998-2010. , 2012, Medicine and science in sports and exercise.

[74]  Richard Larouche,et al.  Systematic review of sedentary behaviour and health indicators in school-aged children and youth , 2011, The international journal of behavioral nutrition and physical activity.

[75]  Wenhao Liu,et al.  Comparison and Comparability: Fitness Tracking Between Youths with Different Physical Activity Levels , 2013 .

[76]  L. Boddy,et al.  Weight status associations with physical activity intensity and physical self-perceptions in 10- to 11-year-old children. , 2012, Pediatric exercise science.

[77]  Roger G Eston,et al.  Comparability of measured acceleration from accelerometry-based activity monitors. , 2015, Medicine and science in sports and exercise.

[78]  A. Woll,et al.  Association between health behaviors and cardiorespiratory fitness in adolescents: results from the cross-sectional MoMo-study. , 2013, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.

[79]  Alexander Horsch,et al.  Separating Movement and Gravity Components in an Acceleration Signal and Implications for the Assessment of Human Daily Physical Activity , 2013, PloS one.

[80]  S. Chastin,et al.  Associations between sleep duration, sedentary time, physical activity, and health indicators among Canadian children and youth using compositional analyses. , 2016, Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme.

[81]  T. Baranowski,et al.  BMI change, fitness change and cardiometabolic risk factors among 8th grade youth. , 2013, Pediatric exercise science.

[82]  Alex V Rowlands,et al.  Wear Compliance and Activity in Children Wearing Wrist- and Hip-Mounted Accelerometers. , 2016, Medicine and science in sports and exercise.

[83]  T. Burns,et al.  Association between light-intensity physical activity and adiposity in childhood. , 2011, Pediatric exercise science.

[84]  J. Mann,et al.  Two-year follow-up of an obesity prevention initiative in children: the APPLE project. , 2008, The American journal of clinical nutrition.

[85]  Raimon Tolosana-Delgado,et al.  "compositions": A unified R package to analyze compositional data , 2008, Comput. Geosci..

[86]  L. Léger,et al.  The multistage 20 metre shuttle run test for aerobic fitness. , 1988, Journal of sports sciences.

[87]  M. Misigoj-Durakovic,et al.  Tracking of BMI, fatness and cardiorespiratory fitness from adolescence to middle adulthood: the Zagreb Growth and Development Longitudinal Study , 2014, Annals of human biology.