Profiling movement quality and gait characteristics according to body-mass index in children (9-11 y).

Obese children move less and with greater difficulty than their normal-weight counterparts. Whilst the effect of high BMI on cardiovascular fitness is well known, the effect on movement quality characteristics during a standardised fitness test has not been investigated. The aims of this study were, to characterise the movement quality of children performing the multi-stage fitness test (MSFT), and, report how movement quality characteristics cluster according to weight status. One hundred and three children (10.3±0.6 y, 1.42±0.08m, 37.8±9.3kg, BMI; 18.5±3.3kgm(2)) performed the MSFT whilst wearing an ankle mounted accelerometer. BMI groups were used to classify children as underweight (UW), normal weight (NW), overweight (OW) and obese (OB). Characteristics of movement were profiled using a clustering algorithm. Spearman's rho was used to assess relationship with BMI group, and a Mann-Whitney U test was used to assess differences between BMI groups. Obese children had significantly lower spectral purity than every other group and significantly lower time to exhaustion (TTE) than UW and NW children (P<0.05). BMI was clustered with stride profile and TTE with spectral purity. Significant negative correlations (P<0.05) were found between BMI and TTE (r=-0.25), spectral purity (r=-0.24), integrated acceleration (r=-0.22), stride angle (r=-0.23) and stride variability (r=-0.22). This was the first study to report the spectral purity of children's gait. Further analysis unveiled key performance characteristics that differed between BMI groups. These were (i) representative of children's performance during the MSFT and, (ii) significantly negatively correlated with BMI.

[1]  D R Bassett,et al.  Comparison of MTI Accelerometer Cut-Points for Predicting Time Spent in Physical Activity , 2003, International journal of sports medicine.

[2]  F. Prince,et al.  Locomotor Strategies in Obese and Non‐obese Children , 2006, Obesity.

[3]  D. Bassett,et al.  Accuracy of the Actiheart for the assessment of energy expenditure in adults , 2008, European Journal of Clinical Nutrition.

[4]  A. Tremblay,et al.  The association between low physical fitness and high body mass index or waist circumference is increasing with age in children: the ‘Québec en Forme’ Project , 2007, International Journal of Obesity.

[5]  T. Finni,et al.  Relationship between habitual physical activity and gross motor skills is multifaceted in 5‐ to 8‐year‐old children , 2014, Scandinavian journal of medicine & science in sports.

[6]  D. Ward,et al.  Gait and postural stability in obese and nonobese prepubertal boys. , 2000, Archives of physical medicine and rehabilitation.

[7]  R. Sokal,et al.  THE COMPARISON OF DENDROGRAMS BY OBJECTIVE METHODS , 1962 .

[8]  S. Lazzer,et al.  Deleterious effects of obesity on physical fitness in pre-pubertal children , 2016, European journal of sport science.

[9]  Greg Mori,et al.  Distinguishing the causes of falls in humans using an array of wearable tri-axial accelerometers. , 2014, Gait & posture.

[10]  Søren Brage,et al.  A method to compare new and traditional accelerometry data in physical activity monitoring , 2010, 2010 IEEE International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM).

[11]  S. Lark,et al.  Mass affects lower extremity muscle activity patterns in children's gait. , 2013, Gait & posture.

[12]  Cain C T Clark,et al.  A Review of Emerging Analytical Techniques for Objective Physical Activity Measurement in Humans , 2016, Sports Medicine.

[13]  E. P. Mccutcheon,et al.  Body acceleration distribution and O2 uptake in humans during running and jumping. , 1980, Journal of applied physiology: respiratory, environmental and exercise physiology.

[14]  Subhabrata Chakraborti,et al.  Nonparametric Statistical Inference , 2011, International Encyclopedia of Statistical Science.

[15]  S.M.A. João,et al.  Obesity Effect on Children Hip and Knee Range of Motion , 2014 .

[16]  S. Trost,et al.  Physical Activity, Obesity Status, and Blood Pressure in Preschool Children. , 2015, The Journal of pediatrics.

[17]  J. VanSwearingen,et al.  Harmonic ratios: a quantification of step to step symmetry. , 2013, Journal of biomechanics.

[18]  S. N. Robinovitch,et al.  An Analysis of the Accuracy of Wearable Sensors for Classifying the Causes of Falls in Humans , 2011, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[19]  L. Boddy,et al.  The relationship between body mass index, aerobic performance and asthma in a pre-pubertal, population-level cohort , 2013, European Journal of Applied Physiology.

[20]  Matthias Schonlau,et al.  The Clustergram: A Graph for Visualizing Hierarchical and Nonhierarchical Cluster Analyses , 2002 .

[21]  P. Fink,et al.  The effects of pediatric obesity on dynamic joint malalignment during gait. , 2014, Clinical biomechanics.

[22]  T. Gorely,et al.  Epoch length and its effect on physical activity intensity. , 2010, Medicine and science in sports and exercise.

[23]  A. Parker,et al.  Gait characteristics of obese pre‐pubertal children: effects of diet and exercise on parameters , 1991, International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation.

[24]  Martin Egelhaaf,et al.  Identifying Prototypical Components in Behaviour Using Clustering Algorithms , 2010, PloS one.

[25]  F. Prince,et al.  Physical Activity and Obesity: Biomechanical and Physiological Key Concepts , 2010, Journal of obesity.

[26]  L. Léger,et al.  A maximal multistage 20-m shuttle run test to predict VO2 max. , 1982, European journal of applied physiology and occupational physiology.

[27]  P. Fink,et al.  The role of excess mass in the adaptation of children's gait. , 2014, Human movement science.

[28]  Takehiko Doi,et al.  The harmonic ratio of trunk acceleration predicts falling among older people: results of a 1-year prospective study , 2013, Journal of NeuroEngineering and Rehabilitation.

[29]  Subashan Perera,et al.  Validation of a measure of smoothness of walking. , 2011, The journals of gerontology. Series A, Biological sciences and medical sciences.

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

[31]  T. Lohman,et al.  Anthropometric Standardization Reference Manual , 1988 .

[32]  J. Brønd,et al.  Sampling frequency affects ActiGraph activity counts , 2015 .

[33]  Hermie Hermens,et al.  Optimal Sensor Placement for Measuring Physical Activity with a 3D Accelerometer , 2014, Sensors.

[34]  Sinan Saraçli,et al.  Comparison of hierarchical cluster analysis methods by cophenetic correlation , 2013, Journal of Inequalities and Applications.

[35]  Andrea Mannini,et al.  Activity recognition using a single accelerometer placed at the wrist or ankle. , 2013, Medicine and science in sports and exercise.

[36]  Vincent Onywera,et al.  Physical Activity, Sedentary Time, and Obesity in an International Sample of Children. , 2015, Medicine and science in sports and exercise.

[37]  M. Kangas,et al.  Sensitivity and False Alarm Rate of a Fall Sensor in Long-Term Fall Detection in the Elderly , 2014, Gerontology.

[38]  Merryn J Mathie,et al.  Accelerometry: providing an integrated, practical method for long-term, ambulatory monitoring of human movement , 2004, Physiological measurement.

[39]  Huw D. Summers,et al.  Automated Cell Identification and Tracking Using Nanoparticle Moving-Light-Displays , 2012, PloS one.

[40]  K. Lowry,et al.  Walking stability using harmonic ratios in Parkinson's disease , 2009, Movement disorders : official journal of the Movement Disorder Society.

[41]  D. Bassett,et al.  Calibration and validation of wearable monitors. , 2012, Medicine and science in sports and exercise.

[42]  G. Stratton,et al.  Physical Activity Levels of Normal‐weight and Overweight Girls and Boys During Primary School Recess , 2007, Obesity.

[43]  A. Hills,et al.  Body size and walking cadence affect lower extremity joint power in children's gait. , 2010, Gait & posture.

[44]  T. Cole,et al.  Extended international (IOTF) body mass index cut‐offs for thinness, overweight and obesity , 2012, Pediatric obesity.

[45]  Fred Stentiford,et al.  Visual attention for region of interest coding in JPEG 2000 , 2003, J. Vis. Commun. Image Represent..