The multivariate physical activity signature associated with metabolic health in children

BackgroundPhysical activity is a cornerstone for promoting good metabolic health in children, but it is heavily debated which intensities (including sedentary time) are most influential. A fundamental limitation to current evidence for this relationship is the reliance on analytic approaches that cannot handle collinear variables. The aim of the present study was to determine the physical activity signature related to metabolic health in children, by investigating the association pattern for the whole spectrum of physical activity intensities using multivariate pattern analysis.MethodsWe used a sample of 841 children (age 10.2 ± 0.3 years; BMI 18.0 ± 3.0; 50% boys) from the Active Smarter Kids study, who provided valid data on accelerometry (ActiGraph GT3X+) and several indices of metabolic health (aerobic fitness, abdominal fatness, insulin sensitivity, lipid metabolism, blood pressure) that were used to create a composite metabolic health score. We created 16 physical activity variables covering the whole intensity spectrum (from 0–100 to ≥ 8000 counts per minute) and used multivariate pattern analysis to analyze the data.ResultsPhysical activity intensities in the vigorous range (5000–7000 counts per minute) were most strongly associated with metabolic health. Moderate intensity physical activity was weakly related to health, and sedentary time and light physical activity were not related to health.ConclusionsThis study is the first to determine the multivariate physical activity signature related to metabolic health in children across the whole intensity spectrum. This novel approach shows that vigorous physical activity is strongest related to metabolic health. We recommend future studies adapt a multivariate analytic approach to further develop the field of physical activity epidemiology.Trial registrationThe study was registered in Clinicaltrials.gov (www.clinicaltrials.gov) 7th of April 2014 with identification number NCT02132494.

[1]  M. Chinapaw,et al.  Bouts and breaks in children's sedentary time: currently used operational definitions and recommendations for future research. , 2015, Preventive medicine.

[2]  B. Grung,et al.  Determination of optimum number of components in partial least squares regression from distributions of the root‐mean‐squared error obtained by Monte Carlo resampling , 2018 .

[3]  Hidde P. van der Ploeg,et al.  Is sedentary behaviour just physical inactivity by another name? , 2017, International Journal of Behavioral Nutrition and Physical Activity.

[4]  Dinesh John,et al.  ActiGraph and Actical physical activity monitors: a peek under the hood. , 2012, Medicine and science in sports and exercise.

[5]  D. Lawlor,et al.  Sedentary Time in Late Childhood and Cardiometabolic Risk in Adolescence , 2015, Pediatrics.

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

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

[8]  G. Sporiš,et al.  Effectiveness of High-Intensity Interval Training (HIT) and Continuous Endurance Training for VO2max Improvements: A Systematic Review and Meta-Analysis of Controlled Trials , 2015, Sports Medicine.

[9]  O. Kvalheim,et al.  Multivariate data analysis in pharmaceutics: a tutorial review. , 2011, International journal of pharmaceutics.

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

[11]  Olav M. Kvalheim,et al.  Interpretation of latent-variable regression models , 1989 .

[12]  Yasuo Ohashi,et al.  Cardiorespiratory fitness as a quantitative predictor of all-cause mortality and cardiovascular events in healthy men and women: a meta-analysis. , 2009, JAMA.

[13]  U. Ekelund,et al.  Effects of physical activity on schoolchildren's academic performance: The Active Smarter Kids (ASK) cluster-randomized controlled trial. , 2016, Preventive medicine.

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

[15]  U. Ekelund,et al.  Reallocating sedentary time to moderate‐to‐vigorous physical activity but not to light‐intensity physical activity is effective to reduce adiposity among youths: a systematic review and meta‐analysis , 2017, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[16]  U. Ekelund,et al.  Physical activity and clustered cardiovascular risk in children: a cross-sectional study (The European Youth Heart Study) , 2006, The Lancet.

[17]  D. Neumark-Sztainer,et al.  Adolescents who engage exclusively in healthy weight control behaviors: Who are they? , 2016, International Journal of Behavioral Nutrition and Physical Activity.

[18]  A. Bauman,et al.  Effect of Moderate to Vigorous Physical Activity on All-Cause Mortality in Middle-aged and Older Australians. , 2015, JAMA internal medicine.

[19]  F. Benatti,et al.  The Effects of Breaking up Prolonged Sitting Time: A Review of Experimental Studies. , 2015, Medicine and science in sports and exercise.

[20]  S. Biddle,et al.  Associations between sedentary behaviour and physical activity in children and adolescents: a meta-analysis , 2014, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[21]  Ulf Ekelund,et al.  Moderate to vigorous physical activity and sedentary time and cardiometabolic risk factors in children and adolescents. , 2012, JAMA.

[22]  Margarita D. Tsiros,et al.  Objectively measured sedentary behaviour and health and development in children and adolescents: systematic review and meta‐analysis , 2016, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[23]  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.

[24]  S. Anderssen,et al.  Active Smarter Kids (ASK): Rationale and design of a cluster-randomized controlled trial investigating the effects of daily physical activity on children’s academic performance and risk factors for non-communicable diseases , 2015, BMC Public Health.

[25]  S. Wold,et al.  The Collinearity Problem in Linear Regression. The Partial Least Squares (PLS) Approach to Generalized Inverses , 1984 .

[26]  Carrie D. Patnode,et al.  Multilevel predictors of adolescent physical activity: a longitudinal analysis , 2012, International Journal of Behavioral Nutrition and Physical Activity.

[27]  S. Clemes,et al.  The relationship between sedentary behaviour and physical activity in adults: a systematic review. , 2014, Preventive medicine.

[28]  N. Ridgers,et al.  Criterion validity of the activPALTM and ActiGraph for assessing children’s sitting and standing time in a school classroom setting , 2016, International Journal of Behavioral Nutrition and Physical Activity.

[29]  Karsten Froberg,et al.  Reexamination of validity and reliability of the CSA monitor in walking and running. , 2003, Medicine and science in sports and exercise.

[30]  L. Andersen,et al.  Total volume versus bouts: prospective relationship of physical activity and sedentary time with cardiometabolic risk in children , 2018, International Journal of Obesity.

[31]  B. Franklin,et al.  Comparison of cardioprotective benefits of vigorous versus moderate intensity aerobic exercise. , 2006, The American journal of cardiology.

[32]  Johan Trygg,et al.  Chemometrics in metabolomics--a review in human disease diagnosis. , 2010, Analytica chimica acta.

[33]  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.

[34]  O. Kvalheim,et al.  A multivariate approach to reveal biomarker signatures for disease classification: application to mass spectral profiles of cerebrospinal fluid from patients with multiple sclerosis. , 2010, Journal of proteome research.

[35]  R. Mcmurray,et al.  Calibration of two objective measures of physical activity for children , 2008, Journal of sports sciences.

[36]  R. Turner,et al.  Homeostasis model assessment: insulin resistance and β-cell function from fasting plasma glucose and insulin concentrations in man , 1985, Diabetologia.

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

[38]  Dinesh John,et al.  Biomechanical examination of the ‘plateau phenomenon’ in ActiGraph vertical activity counts , 2012, Physiological measurement.

[39]  R. Levy,et al.  Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. , 1972, Clinical chemistry.

[40]  M. Tremblay,et al.  Sedentary behaviour as an emerging risk factor for cardiometabolic diseases in children and youth. , 2014, Canadian journal of diabetes.

[41]  O. Kvalheim,et al.  Biomarker discovery in mass spectral profiles by means of selectivity ratio plot , 2009 .

[42]  Lucas J Carr,et al.  Letter to the editor: standardized use of the terms "sedentary" and "sedentary behaviours". , 2012, Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme.

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

[44]  Ross Arena,et al.  Effects of Running on Chronic Diseases and Cardiovascular and All-Cause Mortality. , 2015, Mayo Clinic proceedings.

[45]  L. Andersen,et al.  The Andersen Aerobic Fitness Test: Reliability and Validity in 10-Year-Old Children , 2014, PloS one.

[46]  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.

[47]  Adrian Bauman,et al.  Patterns of sitting and mortality in the Nord-Trøndelag health study (HUNT) , 2017, International Journal of Behavioral Nutrition and Physical Activity.

[48]  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.

[49]  Tarja Rajalahti,et al.  Discriminating variable test and selectivity ratio plot: quantitative tools for interpretation and variable (biomarker) selection in complex spectral or chromatographic profiles. , 2009, Analytical chemistry.