The use of the intensity gradient and average acceleration metrics to explore associations with BMI z-score in children

References

• Banda, J. A., Haydel, K. F., Davila, T., Desai, M., Bryson, S., Haskell, W. L., … Pappalardo, F. (2016, Mar 3). Effects of varying epoch lengths, wear time algorithms, and activity cut-points on estimates of child sedentary behavior and physical activity from accelerometer data. Plos One, 11(3), e0150534.
   PubMed Web of Science ®Google Scholar
• Boyer, W. R., Wolff-Hughes, D. L., Bassett, D. R., Churilla, J. R., & Fitzhugh, E. C. (2016, Oct 20). Accelerometer-derived total activity counts, bouted minutes of moderate to vigorous activity, and insulin resistance: NHANES 2003–2006. Preventing chronic disease, [Internet]. 13. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5072751/ 27
   PubMed Web of Science ®Google Scholar
• Buchan, D. S., & McLellan, G. (2019, Apr 3). Comparing physical activity estimates in children from hip-worn Actigraph GT3X+ accelerometers using raw and counts based processing methods. Journal of sports sciences, 37(7), 779–787.
   PubMed Web of Science ®Google Scholar
• Cole, T. J., Freeman, J. V., & Preece, M. A. (1995, Jul). Body mass index reference curves for the UK, 1990. Archives of disease in childhood, 73(1), 25–29.
   PubMed Web of Science ®Google Scholar
• Cooper, A. R., Goodman, A., Page, A. S., Sherar, L. B., Esliger, D. W., van Sluijs, E. M., Andersen, L.B., Anderssen, S., Cardon, G., Davey, R. and Froberg, K. (2015, Sep 17). Objectively measured physical activity and sedentary time in youth: The International children’s accelerometry database (ICAD). International journal of behavioral nutrition and physical activity, 12(1), 113.
   PubMed Web of Science ®Google Scholar
• Corder, K., Sharp, S. J., Atkin, A. J., Griffin, S. J., Jones, A. P., Ekelund, U., & van Sluijs, E. M. F. (2015, Jun). Change in objectively measured physical activity during the transition to adolescence. British Journal of Sports Medicine, 49(11), 730–736.
   PubMed Web of Science ®Google Scholar
• Department of Health. (2011). Active Start. Stay Active. A report on physical activity for health from the four home countries’ Chief Medical Officers. England: Department of Health.
   Google Scholar
• Fairclough, S. J., Noonan, R., Rowlands, A. V., Van Hees, V., Knowles, Z., & Boddy, L. M. (2016, Feb). wear compliance and activity in children wearing wrist- and hip-mounted accelerometers. Medicine & Science in Sports & Exercise, 48(2), 245–253.
   PubMed Web of Science ®Google Scholar
• Fairclough, S. J., Taylor, S., Rowlands, A. V., Boddy, L. M., & Noonan, R. J. (In Press). Average acceleration and intensity gradient of primary school children and associations with indicators of health and wellbeing. Journal of sports sciences, 37(18), 2159-2167.
   Google Scholar
• Gomes, T. N., Hedeker, D., Dos Santos, F. K., Souza, M., Santos, D., Pereira, S., … Maia, J. (2017, 04). Relationship between sedentariness and moderate-to-vigorous physical activity in youth: A multivariate multilevel study. International journal of environmental research and public health, 14, 2.
   Web of Science ®Google Scholar
• Hallal, P. C., Andersen, L. B., Bull, F. C., Guthold, R., Haskell, W., Ekelund, U., Ekelund, Ulf. (2012, Jul 21). Global physical activity levels: Surveillance progress, pitfalls, and prospects. The lancet, 380(9838), 247–257.
   PubMed Web of Science ®Google Scholar
• Hatfield, D. P., Chomitz, V. R., Chui, K., Sacheck, J., & Economos, C. D. (2015, Sep). Exploring new relationships between physical activity volume and intensity and cardiometabolic risk in U.S. Adolescents. Journal of Physical Activity and Health, 12(9), 1312–1319.
   PubMed Web of Science ®Google Scholar
• Hildebrand, M., Hansen, B. H., van Hees, V. T., & Ekelund, U. (2017, Dec). Evaluation of raw acceleration sedentary thresholds in children and adults. Scandinavian journal of medicine & science in sports, 27(12), 1814–1823.
   PubMed Web of Science ®Google Scholar
• Hildebrand, M., Van Hees, V. T., Hansen, B. H., & Ekelund, U. (2014, Sep). Age group comparability 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
• Ipsos MORI. (2017). CLS. Millennium Cohort Study Sixth Sweep (MCS6): Physical activity: Time use diary harmonised dataset (pp. 134). London, UK: Centre for Longitudinal Studies, UCL Institute for Education.
   Google Scholar
• Katzmarzyk, P. T., Barreira, T. V., Broyles, S. T., Champagne, C. M., Chaput, J.-P., Fogelholm, M., et al. (2013, Sep). The International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE): Design and methods. BMC Public Health, 30(13), 900.
   Web of Science ®Google Scholar
• Katzmarzyk, P. T., Barreira, T. V., Broyles, S. T., Champagne, C. M., Chaput, J.-P., Fogelholm, M., Hu, G., Johnson, WD., Kuriyan, R., Kurpad, A., Lambert, EV. (2015, Oct). physical activity, sedentary time, and obesity in an international sample of children. Medicine & Science in Sports & Exercise, 47(10), 2062–2069.
   PubMed Web of Science ®Google Scholar
• Kwon, S., Andersen, L. B., Grøntved, A., Kolle, E., Cardon, G., Davey, R., … Janz, K. F. (2019, Apr 29). A closer look at the relationship among accelerometer-based physical activity metrics: ICAD pooled data. International Journal of Behavioral Nutrition and Physical Activity, 16(1), 40.
   PubMed Web of Science ®Google Scholar
• Li, X., Kearney, P. M., Keane, E., Harrington, J. M., & Fitzgerald, A. P. (2017, Jun 1). Levels and sociodemographic correlates of accelerometer-based physical activity in Irish children: A cross-sectional study. Journal of Epidemiol Community Health, 71(6), 521–527.
   PubMed Web of Science ®Google Scholar
• Logan, G. R. M., Duncan, S., Harris, N. K., Hinckson, E. A., & Schofield, G. (2016, Nov). Adolescent physical activity levels: Discrepancies with accelerometer data analysis. Journal of sports sciences, 34(21), 2047–2053.
   PubMed Web of Science ®Google Scholar
• Mann, K. D., Howe, L. D., Basterfield, L., Parkinson, K. N., Pearce, M. S., Reilly, J. K., and Janssen, X. (2017, Jul). Longitudinal study of the associations between change in sedentary behavior and change in adiposity during childhood and adolescence: Gateshead millennium study. International Journal of Obesity, 41(7), 1042–1047.
   Web of Science ®Google Scholar
• McLellan, G., Arthur, R., & Buchan, D. S. (2018, Apr 5). Wear compliance, sedentary behaviour and activity in free-living children from hip-and wrist-mounted ActiGraph GT3X+ accelerometers. J Sports Sci, 1–7.
   Web of Science ®Google Scholar
• McLellan, G., Arthur, R., Donnelly, S., & Buchan, D. S. (2019, February 19). Segmented sedentary time and physical activity patterns throughout the week from wrist-worn ActiGraph GT3X+ accelerometers among children 7-12 years old. Journal of Sport and Health Science, [Internet]. Retrieved from http://www.sciencedirect.com/science/article/pii/S2095254619300274
   PubMed Web of Science ®Google Scholar
• Migueles, J. H., Cadenas-Sanchez, C., Ekelund, U., Nyström, C. D., Mora-Gonzalez, J., Löf, M., et al. (2017, Sep 1). Accelerometer data collection and processing criteria to assess physical activity and other outcomes: A systematic review and practical Considerations. Sports medicine, 47(9), 1821–1845.
   PubMed Web of Science ®Google Scholar
• Pearce, M. S., Basterfield, L., Mann, K. D., Parkinson, K. N., & Adamson, A. J. (2012, Jun 20). Team JJR on behalf of the GMSC. Early predictors of objectively measured physical activity and sedentary behaviour in 8–10 year old children: The gateshead millennium study. Plos One, 7(6), e37975.
   PubMed Web of Science ®Google Scholar
• Ridgers, N. D., Timperio, A., Cerin, E., & Salmon, J. (2015, Sep). Within- and between-day associations between children’s sitting and physical activity time. BMC Public Health, 23(15), 950.
   Web of Science ®Google Scholar
• Rowlands, A. V. (2018, Nov 1). Moving forward with accelerometer-assessed physical activity: Two strategies to ensure meaningful, interpretable, and comparable measures. Pediatric exercise science, 30(4), 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, Jun). 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., Fraysse, F., Catt, M., Stiles, V. H., Stanley, R. M., Eston, R. G., and Olds, T.S. (2015, Jan). Comparability of measured acceleration from accelerometry-based activity monitors. Medicine Science Sports Exercise, 47(1), 201–210.
   PubMed Web of Science ®Google Scholar
• Rowlands, A. V., Mirkes, E. M., Yates, T., Clemes, S., Davies, M., Khunti, K. and Edwardson, C.L. (2018, Feb). Accelerometer-assessed physical activity in epidemiology: Are monitors equivalent? Medicine Science Sports Exercise, 50(2), 257–265.
   PubMed Web of Science ®Google Scholar
• Rowlands, A. V., Yates, T., Davies, M., Khunti, K., & Edwardson, C. L. (2016, May 13). Raw accelerometer data analysis with GGIR R-package: Does accelerometer brand matter? Medicine Science Sports Exercise, 48(10), 1935–1941.
   PubMed Web of Science ®Google Scholar
• Schwarzfischer, P., Gruszfeld, D., Socha, P., Luque, V., Closa-Monasterolo, R., Rousseaux, D., … Grote, V. (2018, Dec 7). Longitudinal analysis of physical activity, sedentary behaviour and anthropometric measures from ages 6 to 11 years. International Journal of Behavioral Nutrition and Physical Activity, 15(1), 126.
   PubMed Web of Science ®Google Scholar
• Shadyab, A. H., Macera, C. A., Shaffer, R. A., Jain, S., Gallo, L. C., LaMonte, M. J., et al. (2017, Feb 1). Associations of accelerometer-measured and self-reported sedentary time with leukocyte telomere length in older women. American journal of epidemiology, 185(3), 172–184.
   PubMed Web of Science ®Google Scholar
• Tremblay, M. S., Carson, V., Chaput, J.-P., Connor Gorber, S., Dinh, T., Duggan, M., et al. (2016, Jun). Canadian 24-hour movement guidelines for children and youth: An integration of physical activity, sedentary behaviour, and sleep. Applied Physiology, Nutrition, and Metabolism, 41(6 Suppl 3), S311–327.
   PubMed Web of Science ®Google Scholar
• US Department of Health and Human Services. (2018, March 7). Physical Activity Guidlines for Americans. Advisory Committee report 2018. [Internet]. Washington DC; Retrieved from https://health.gov/paguidelines/second-edition/report.aspx
   Google Scholar
• Van Hees, V. T., Fang, Z., Langford, J., Assah, F., Mohammad, A., Silva Da, I. C. M., et al. (2014, Oct 1). Autocalibration of accelerometer data for free-living physical activity assessment using local gravity and temperature: An evaluation on four continents. Journal of Applied Physiology, 117(7), 738–744.
   PubMed Web of Science ®Google Scholar
• Van Hees, V. T., Gorzelniak, L., Dean Leon, E. C., Eder, M., Pias, M., Taherian, S., et al. (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
• Wake, M., Clifford, S., York, E., Mensah, F., Gold, L., Burgner, D. and Davies, S. (2014). Introducing growing up in Australia’s child health checkpoint. Family Matters, 65, 15–23.
   Google Scholar
• Welk, G. J., McClain, J., & Ainsworth, B. E. (2012, Jan). Protocols for evaluating equivalency of accelerometry-based activity monitors. Med Sci Sports Exerc, 44(1 Suppl 1), S39–49.
   PubMed Web of Science ®Google Scholar
• Wijndaele, K., Westgate, K. L., Stephens, S. K., Blair, S. N., Bull, F. C., Chastin, S. F. M., Dunstan, DW., Ekelund, U., Esliger, DW., Freedson, PS., Granat, MH. (2015, Oct). Utilization and harmonization of adult accelerometry data: Review and expert consensus. Medicine Science Sports Exercise, 47(10), 2129–2139.
   PubMed Web of Science ®Google Scholar
• World Health Organization. (2010). Global Recommendations on physical activity for health. Geneva: Author. Retrieved from http://whqlibdoc.who.int/publications/2010/9789241599979_eng.pdf
   Google Scholar
• Wu, F., Wills, K., Laslett, L. L., Oldenburg, B., Jones, G., & Winzenberg, T. (2017). Moderate-to-vigorous physical activity but not sedentary time is associated with musculoskeletal health outcomes in a cohort of Australian middle-aged women. Journal of Bone and Mineral Research, 32(4), 708–715.
   PubMed Web of Science ®Google Scholar