Average acceleration and intensity gradient of primary school children and associations with indicators of health and well-being

References

• Aadland, E., Andersen, L. B., Anderssen, S. A., Resaland, G. K., & Kvalheim, O. M. (2018). Associations of volumes and patterns of physical activity with metabolic health in children: A multivariate pattern analysis approach. Preventive Medicine, 115, 12–18.
   PubMed Web of Science ®Google Scholar
• Andersen, L. B., Lauersen, J. B., Brond, J. C., Anderssen, S. A., Sardinha, L. B., Steene-Johannessen, J., et al. (2015). A new approach to define and diagnose cardiometabolic disorder in children. Journal of Diabetes Research, 2015, 10.
   Web of Science ®Google Scholar
• Anderson, C. B., Hagstromer, M., & Yngve, A. (2005). Validation of the PDPAR as an adolescent diary: Effect of accelerometer cut points. Medicine and Science in Sports and Exercise, 37, 1224–1230.
   PubMed Web of Science ®Google Scholar
• Bornstein, D. B., Beets, M. W., Byun, W., Welk, G., Bottai, M., Dowda, M., & Pate, R. (2011). Equating accelerometer estimates of moderate-to-vigorous physical activity: In search of the Rosetta Stone. Journal of Science and Medicine in Sport / Sports Medicine Australia, 14(5), 404–410.
   PubMed Web of Science ®Google Scholar
• Breslin, G., Gossrau-Breen, D., McCay, N., Gilmore, G., Macdonald, L., & Hanna, D. (2012). Physical activity, gender, weight status, and wellbeing in 9- to 11-year-old children: A cross-sectional survey. Journal of Physical Activity & Health, 9(3), 394–401.
   PubMed Web of Science ®Google Scholar
• Carson, V., Rinaldi, R. L., Torrance, B., Maximova, K., Ball, G. D. C., Majumdar, S. R., Plotnikoff, R. C., Veugelers, P., Boulé, N. G., Wozny, P., McCargar, L., Downs, S., Daymont, C., Lewanczuk, R., & McGavock, J. (2013). Vigorous physical activity and longitudinal associations with cardiometabolic risk factors in youth. International Journal of Obesity, 38, 16–21.
   Web of Science ®Google Scholar
• Chesham, R. A., Booth, J. N., Sweeney, E. L., Ryde, G. C., Gorely, T., Brooks, N. E., & Moran, C. N. (2018). The Daily Mile makes primary school children more active, less sedentary and improves their fitness and body composition: A quasi-experimental pilot study. BMC Medicine, 16(1), 64.
   PubMed Web of Science ®Google Scholar
• Cole, T., Bellizzi, M., Flegal, K., & Dietz, W. (2000). Establishing a standard definition for child overweight and obesity worldwide: International survey. British Medical Journal, 320, 1240–1243.
   PubMed Web of Science ®Google Scholar
• Cole, T., Freeman, J., & Preece, M. (1995). Body mass index reference curves for the UK, 1990. Archives of Disease in Childhood, 73(1), 25–29.
   PubMed Web of Science ®Google Scholar
• Collins, S. (2015). The Seven Wards: A Focus on Skelmersdale. Preston, England: Lancashire County Council.
   Google Scholar
• Cooper, A. R., Page, A. S., Wheeler, B. W., Griew, P., Davis, L., Hillsdon, M., & Jago, R. (2010). Mapping the walk to school using accelerometry combined with a global positioning system. American Journal of Preventive Medicine, 38(2), 178–183.
   PubMed Web of Science ®Google Scholar
• Department for Communities and Local Government. (2015). The English Indices of Deprivation. Statistical Release. London: DCLG.
   Google Scholar
• Doherty, A. R., Jackson, D., Hammerla, N., Plötz, T., Olivier, P., Granat, M. H., White, T., van Hees, Vincent T., Trenell, Michael I., Owen, Christoper G., Preece, Stephen J., Gillions, R., Sheard, S., Peakman, T., Brage, S., & Wareham, Nicholas J. (2017). Large scale population assessment of physical activity using wrist worn accelerometers: The UK Biobank Study. PloS One, 12(2), e0169649.
   PubMed Web of Science ®Google Scholar
• Esliger, D. W., Rowlands, A. V., Hurst, T. L., Catt, M., Murray, P., & Eston, R. G. (2011). Validation of the GENEA accelerometer. Medicine and Science in Sports and Exercise, 43(6), 1085–1093.
   PubMed Web of Science ®Google Scholar
• Fairclough, S. J., Dumuid, D., Taylor, S., Curry, W., McGrane, B., Stratton, G., Maher, C., & Olds, T. (2017). Fitness, fatness and the reallocation of time between children’s daily movement behaviours: An analysis of compositional data. The International Journal of Behavioral Nutrition and Physical Activity, 14(1), 64.
   PubMed Web of Science ®Google Scholar
• Fairclough, S. J., Hackett, A., Davies, I., Gobbi, R., Mackintosh, K., Warburton, G., Stratton, G., van Sluijs, E., & Boddy, L. (2013). Promoting healthy weight in primary school children through physical activity and nutrition education: A pragmatic evaluation of the CHANGE! randomised intervention study. BMC Public Health, 13(1), 626.
   PubMed Web of Science ®Google Scholar
• Fairclough, S. J., Noonan, R., Rowlands, A. V., Van Hees, V., Knowles, Z., & Boddy, L. M. (2016). Wear compliance and activity in children wearing wrist- and hip-mounted accelerometers. Medicine and Science in Sports and Exercise, 48(2), 245–253.
   PubMed Web of Science ®Google Scholar
• Farooq, M. A., Parkinson, K. N., Adamson, A. J., Pearce, M. S., Reilly, J. K., Hughes, A. R., Janssen, X., Basterfield, L., & Reilly, J. J. (2017). Timing of the decline in physical activity in childhood and adolescence: Gateshead Millennium Cohort Study. British Journal of Sports Medicine, 52, 1002–1006.
   PubMed Web of Science ®Google Scholar
• Gopinath, B., Hardy, L. L., Baur, L. A., Burlutsky, G., & Mitchell, P. (2012). Physical activity and sedentary behaviors and health-related quality of life in adolescents. Pediatr, 130(1), e167–e74.
   PubMed Web of Science ®Google Scholar
• Ha, A. S., Burnett, A., Sum, R., Medic, N., & Ng, J. Y. (2015). Outcomes of the rope skipping ‘star’ programme for schoolchildren. Journal of Human Kinetics, 45(1), 233-240.
   PubMed Web of Science ®Google Scholar
• Hildebrand, M., Van Hees, V. T., Hansen, B. H., & Ekelund, U. (2014). Age-group comparibility of raw accelerometer output from wrist- and hip-worn monitors. Medicine and Science in Sports and Exercise, 46(9), 1816–1824.
   PubMed Web of Science ®Google Scholar
• Ho, M., Garnett, S. P., Baur, L., Burrows, T., Stewart, L., Neve, M., & Collins, C. (2012). Effectiveness of lifestyle interventions in child obesity: Systematic review with meta-analysis. Pediatr, 130(6), e1647–71.
   PubMed Web of Science ®Google Scholar
• Hurter, L., Fairclough, S. J., Knowles, Z., Porcellato, L., Cooper-Ryan, A., & Boddy, L. (2018). Establishing raw acceleration thresholds to classify sedentary and stationary behaviour in children. Children, 5(12), 172.
   PubMedGoogle Scholar
• KIDSCREEN Group Europe. (2006). The KIDSCREEN Questionnaires - Quality of life questionnaires for children and adolescents. Handbook. Lengerich: Pabst Science Publishers.
   Google Scholar
• Koning, M., Hoekstra, T., de Jong, E., Visscher, T. L. S., Seidell, J. C., & Renders, C. M. (2016). Identifying developmental trajectories of body mass index in childhood using latent class growth (mixture) modelling: Associations with dietary, sedentary and physical activity behaviors: A longitudinal study. BMC Public Health, 16(1), 1128.
   PubMed Web of Science ®Google Scholar
• Leger, L. A., Mercier, D., Gadoury, C., & Lambert, J. (1988). The multistage 20 metre shuttle run test for aerobic fitness. Journal of Sports Sciences, 6, 93–101.
   PubMed Web of Science ®Google Scholar
• Mehta, S. K. (2015). Waist circumference to height ratio in children and adolescents. Clinical Pediatrics, 54(7), 652–658.
   PubMed Web of Science ®Google Scholar
• Metcalf, B. S., Voss, L. D., Hosking, J., Jeffery, A. N., & Wilkin, T. J. (2008). Physical activity at the government-recommended level and obesity-related health outcomes: A longitudinal study (Early Bird 37). Archives of Disease in Childhood, 93(9), 772–777.
   PubMed Web of Science ®Google Scholar
• Migueles, J. H., Cadenas-Sanchez, C., Tudor-Locke, C., Löf, M., Esteban-Cornejo, I., Molina-Garcia, P., Mora-Gonzalez, J., Rodriguez-Ayllon, M., Garcia-Marmol, E., Ekelund, U., & Ortega, F. B. Comparability of published cut-points for the assessment of physical activity: Implications for data harmonization. Scand J Med Sci Sports. 2019;29:566574.
   Google Scholar
• Mokha, J. S., Srinivasan, S. R., DasMahapatra, P.,Fernandez, C., Chen, W., Xu, J., Berenson, G. S. (2010). Utility of waist-to-height ratio in assessing the status of central obesity and related cardiometabolic risk profile among normal weight and overweight/obese children: The Bogalusa Heart Study. BMC Pediatrics, 10(1), 73.
   PubMed Web of Science ®Google Scholar
• Montgomery, D., Peck, E., & Vining, G. (2001). Introduction to Linear Regression Analysis. New York: John Wiley and Sons, Inc.
   Google Scholar
• Moore, S. A., McKay, H. A., Maccdonalnd, H., Nettleford, L., Baxter-Jones, A. D. G., Cameron, N., & Brasher, P. M. (2015). Enhancing a somatic maturity prediction model. Medicine and Science in Sports and Exercise, 47(8), 1755–1764.
   PubMed Web of Science ®Google Scholar
• Phillips, L. R., Parfitt, G., & Rowlands, A. V. (2012). Calibration of the GENEA accelerometer for assessment of physical activity intensity in children. Journal of Science and Medicine in Sport / Sports Medicine Australia, 16(2), 124–128.
   PubMed Web of Science ®Google Scholar
• Rafferty, R., Breslin, G., Brennan, D., & Hassan, D. (2016). A systematic review of school-based physical activity interventions on children’s wellbeing. International Review of Sport and Exercise Psychology, 9, 215–230.
   Web of Science ®Google Scholar
• Ravens-Sieberer, U., Gosch, A., Rajmil, L., Erhart, M., Bruil, J., Duer, W., Auquier, P., Power, M., Abel, T., Czemy, L., Mazur, J., Czimbalmos, A., Tountas, Y., Hagquist, C., Kilroe, J., European Kidscreen Group. (2005). KIDSCREEN-52 quality-of-life measure for children and adolescents. Expert Review of Pharmacoeconomics and Outcomes Research, 5(3), 353–364.
   PubMedGoogle Scholar
• Rich, C., Geraci, M., Griffiths, L., Sera, F., Dezateux, C., & Cortina-Borja, M. (2013). Quality control methods in accelerometer data processing: Defining minimum wear time. PloS One, 8(6), e67206.
   PubMed Web of Science ®Google Scholar
• Riddoch, C. J., Leary, S. D., Ness, A. R., Blair, S. N., Deere, K., Mattocks, C., Griffiths, A., Davey Smith, G., & Tilling, K. (2009). Prospective associations between objective measures of physical activity and fat mass in 12-14 year old children: The Avon Longitudinal Study of Parents and Children (ALSPAC). British Medical Journal, 339. doi:10.1136/bmj.b4544
   Web of Science ®Google Scholar
• Ridgers, N. D., Salmon, J., Parrish, A.-M., Stanley, R. M., & Okely, A. D. (2012). Physical activity during school recess: A systematic review. American Journal of Preventive Medicine, 43(3), 320–328.
   PubMed Web of Science ®Google Scholar
• Rowlands, A. V. (2018). Moving forward with accelerometer-assessed physical activity: Two strategies to ensure meaningful, interpretable, and comparable measures. Pediatric Exercise Science, 30, 450–456.
   PubMed Web of Science ®Google Scholar
• Rowlands, A. V., Edwardson, C. L., Davies, M. J., Khunti, K., Harrington, D. M., & Yates, T. (2018). Beyond cut-points: Accelerometer metrics that capture the physical activity profile. Medicine and Science in Sports and Exercise, 50(6), 1323–1332.
   PubMed Web of Science ®Google Scholar
• Rowlands, A. V., Harrington, Deirdre M., Bodicoat, Danielle H., Davies, Melanie J., Sherar, Lauren B., Gorely, T., Khunti, K., & Edwardson, C. L. (2018). Compliance of adolescent girls to repeated deployments of wrist-worn accelerometers. Medicine and Science in Sports and Exercise, 50(7), 1508–1517.
   PubMed Web of Science ®Google Scholar
• Rowlands, A. V., Rennie, K., Kozarski, R., Stanley, R. M., Eston, R. G., Parfitt, G. C., & Olds, T. S. (2014). Children’s physical activity assessed with wrist- and hip-worn accelerometers. Medicine and Science in Sports and Exercise, 46(12), 2308–2316.
   PubMed Web of Science ®Google Scholar
• Schaefer, C. A., Nigg, C. R., Hill, J. O., Brink, L. A., & Browning, R. C. (2014). Establishing and evaluating wrist cutpoints for the GENEActiv accelerometer in youth. Medicine and Science in Sports and Exercise, 46, 826–833.
   PubMed Web of Science ®Google Scholar
• Tarp, J., Child, A., White, T., Westgate, K., Bugge, A., Grøntved, A., Wedderkopp, N., Andersen, L. B., Cardon, G., Davey, R., Janz, K. F., Kriemler, S., Northstone, K., Page, A. S., Puder, J. J., Reilly, J. J., Sardinha, L. B., van Sluijs, Esther M. F., Ekelund, U., Wijndaele, K., & Brage, S. (2018). Physical activity intensity, bout-duration, and cardiometabolic risk markers in children and adolescents. International Journal of Obesity, 42, 1639–1650.
   PubMed Web of Science ®Google Scholar
• Taylor, S., Noonan, R., Knowles, Z., Owen, M., McGrane, B., Curry, W., & Fairclough, S. J. (2018). Evaluation of a pilot school-based physical activity clustered randomised controlled trial—Active Schools: Skelmersdale. International Journal of Environmental Research and Public Health, 15(5), doi:10.3390/ijerph15051011
   Web of Science ®Google Scholar
• Tomkinson, Grant R., Carver, Kevin D., Atkinson, F., Daniell, Nathan D., Lewis, Lucy K., Fitzgerald, John S., Lang, Justin J., & Ortega, Francisco B. (2018). European normative values for physical fitness in children and adolescents aged 9–17 years: Results from 2 779 165 Eurofit performances representing 30 countries. British Journal of Sports Medicine, 52(22), 1445–14563.
   PubMed Web of Science ®Google Scholar
• Troiano, R. P., McClain, J. J., Brychta, R. J., & Chen, K. Y. (2014). Evolution of accelerometer methods for physical activity research. British Journal of Sports Medicine, 48(13), 1019–1023.
   PubMed Web of Science ®Google Scholar
• Twisk, J. W. R. (2006). Applied Multilevel Analysis.Cambridge: Cambridge University Press.
   Google Scholar
• van Hees, V. T., Fang, Z., Langford, J., Assah, F., Mohammad, A., da Silva, I. C., Trenell, M. I., White, T., Wareham, N. J., & Brage, S. (2014). Autocalibration of accelerometer data for free-living physical activity assessment using local gravity and temperature: An evaluation on four continents. Journal of Applied Physiology: Respiratory, Environmental and Exercise Physiology, 117(7), 738–744.
   PubMed Web of Science ®Google Scholar
• van Hees, V. T., Gorzelniak, L., León, E. C., Eder, M., Pias, M.o., Taherian, S., Ekelund, U., Renström, F., Franks, P. W., Horsch, A., & Brage, S. (2013). Separating movement and gravity components in an acceleration signal and implications for the assessment of human daily physical activity. PloS One, 8(4), e61691.
   PubMed Web of Science ®Google Scholar
• Zimmet, P., Alberti, K George M. M., Kaufman, F., Tajima, N., Silink, M., Arslanian, S., Wong, G., Bennett, P., Shaw, J., & Caprio, S. (2007). The metabolic syndrome in children and adolescents – An IDF consensus report. Pediatric Diabetes, 8(5), 299–306.
   PubMed Web of Science ®Google Scholar