The Use of Accelerometers in Young Children: A Methodological Scoping Review

in Journal for the Measurement of Physical Behaviour

Click name to view affiliation

Becky Breau Department of Human Health and Nutritional Sciences, University of Guelph, Guelph, ON, Canada
Leibniz Institute for Prevention Research and Epidemiology—BIPS, Bremen, Germany
Faculty of Mathematics and Computer Science, University of Bremen, Bremen, Germany

Search for other papers by Becky Breau in
Current site
Google Scholar
PubMed
Close
,
Hannah J. Coyle-Asbil Department of Human Health and Nutritional Sciences, University of Guelph, Guelph, ON, Canada

Search for other papers by Hannah J. Coyle-Asbil in
Current site
Google Scholar
PubMed
Close
, and
Lori Ann Vallis Department of Human Health and Nutritional Sciences, University of Guelph, Guelph, ON, Canada

Search for other papers by Lori Ann Vallis in
Current site
Google Scholar
PubMed
Close
*
Restricted access

The purpose of this scoping review was to examine publications using accelerometers in children aged 6 months to <6 years and report on current methodologies used for data collection and analyses. We examined device make and model, device placement, sampling frequency, data collection protocol, definition of nonwear time, inclusion criteria, epoch duration, and cut points. Five online databases and three gray literature databases were searched. Studies were included if they were published in English between January 2009 and March 2021. A total of 627 articles were included for descriptive analyses. Of the reviewed articles, 75% used ActiGraph devices. The most common device placement was hip or waist. More than 80% of articles did not report a sampling frequency, and 7-day protocols during only waking hours were the most frequently reported. Fifteen-second epoch durations and the cut points developed by Pate et al. in 2006 were the most common. A total of 203 articles did not report which definition of nonwear time was used; when reported, “20 minutes of consecutive zeros” was the most frequently used. Finally, the most common inclusion criteria were “greater or equal to 10 hr/day for at least 3 days” for studies conducted in free-living environments and “greater than 50% of the school day” for studies conducted in preschool or childcare environments. Results demonstrated a major lack of reporting of methods used to analyze accelerometer data from young children. A list of recommended reporting practices was developed to encourage increased reporting of key methodological details for research in this area.

Supplementary Materials

    • Supplementary Material 1 (PDF 1 MB)
    • Supplementary Material 2 (PDF 765 KB)
  • Collapse
  • Expand
  • Aadland, E., Andersen, L.B., Anderssen, S.A., & Resaland, G.K. (2018). A comparison of 10 accelerometer non-wear time criteria and logbooks in children. BMC Public Health, 18, 323. https://doi.org/10.1186/s12889-018-5212-4

    • Crossref
    • Search Google Scholar
    • Export Citation
  • ActiGraph. (2019). Actigraph wgt3x-bt + actilife user guide [user guide]. Version 2 (pp. 116).

  • ActiGraph. (November 21, 2020). How are cut points calculated. ActiGraph LLC. https://actigraphcorp.my.site.com/support/s/article/How-are-Cut-Points-Calculated

    • Search Google Scholar
    • Export Citation
  • Adolph, A.L., Puyau, M.R., Vohra, F.A., Nicklas, T.A., Zakeri, I.f., & Butte, N.F. (2012). Validation of uniaxial and triaxial accelerometers for the assessment of physical activity in preschool children. Journal of Physical Activity & Health, 9(7), 944953. https://doi.org/10.1249/10.1123/jpah.9.7.944

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Bailey, R.C., Olson, J., Pepper, S.L., Porszasz, J., Barstow, T.J., & Cooper, D.M. (1995). The level and tempo of children’s physical activities: An observational study. Medicine & Science in Sports & Exercise, 27(7), 10331041. https://doi.org/10.1249/00005768-199507000-00012

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Brond, J.C., & Arvidsson, D. (2016). Sampling frequency affects the processing of actigraph raw acceleration data to activity counts. Journal of Applied Physiology, 120(3), 362369. https://doi.org/10.1152/japplphysiol.00628.2015

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Bruijns, B.A., Truelove, S., Johnson, A.M., Gilliland, J., & Tucker, P. (2020). Infants’ and toddlers’ physical activity and sedentary time as measured by accelerometry: A systematic review and meta-analysis. The International Journal of Behavioral Nutrition and Physical Activity, 17(1), 14. https://doi.org/10.1186/s12966-020-0912-4

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Butte, N.F., Wong, W.W., Lee, J.S., Adolph, A.L., Puyau, M.R., & Zakeri, I.F. (2014). Prediction of energy expenditure and physical activity in preschoolers. Medicine & Science in Sports & Exercise, 46(6), 12161226. https://doi.org/10.1249/MSS.0000000000000209

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Byun, W., Beets, M.W., & Pate, R.R. (2015). Sedentary behavior in preschoolers: How many days of accelerometer monitoring is needed? International Journal of Environmental Research & Public Health, 12(10), 1314813161. https://doi.org/10.3390/ijerph121013148

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Cain, K.L., Bonilla, E., Conway, T.L., Schipperijn, J., Geremia, C.M., Mignano, A., Kerr, J., & Sallis, J.F. (2018). Defining accelerometer nonwear time to maximize detection of sedentary time in youth [Research Support, N.I.H., Extramural]. Pediatric Exercise Science, 30(2), 288295. https://doi.org/10.1123/pes.2017-0132

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Cain, K.L., Sallis, J.F., Conway, T.L., Van Dyck, D., & Calhoon, L. (2013). Using accelerometers in youth physical activity studies: A review of methods. Journal of Physical Activity and Health, 10(3), 437450. https://doi.org/10.1123/jpah.10.3.437

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Carson, V., Ezeugwu, V.E., Tamana, S.K., Chikuma, J., Lefebvre, D.L., Azad, M.B., Moraes, T.J., Subbarao, P., Becker, A.B., Turvey, S.E., Sears, M.R., & Mandhane, P.J. (2019). Associations between meeting the Canadian 24-hour movement guidelines for the early years and behavioral and emotional problems among 3-year-olds. Journal of Science & Medicine in Sport, 22(7), 797802. https://doi.org/10.1016/j.jsams.2019.01.003

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Chaput, J.P., Colley, R.C., Aubert, S., Carson, V., Janssen, I., Roberts, K.C., & Tremblay, M.S. (2017). Proportion of preschool-aged children meeting the Canadian 24-hour movement guidelines and associations with adiposity: Results from the Canadian health measures survey. BMC Public Health, 17(5), 829. https://doi.org/10.1186/s12889-017-4854-y

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Choi, L., Zhouwen LIU, Matthews, C.E., & Buchowski, M.S. (2011). Validation of accelerometer wear and nonwear time classification algorithm. Medicine & Science in Sports & Exercise, 43(2), 357364. https://doi.org/10.1249/MSS.0b013e3181ed61a3

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Choi, L., Zhouwen LIU, Matthews, C.E., & Buchowski, M.S. (2011). Validation of accelerometer wear and nonwear time classification algorithm. Medicine & Science in Sports & Exercise, 43(2), 357364. https://doi.org/10.1249/MSS.0b013e3181ed61a3

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Cliff, D.P., Reilly, J.J., Okely, A.D., Cliff, D.P., Reilly, J.J., & Okely, A.D. (2009). Methodological considerations in using accelerometers to assess habitual physical activity in children aged 0–5 years. Journal of Science & Medicine in Sport, 12(5), 557567. https://doi.org/10.1016/j.jsams.2008.10.008

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Colley, R.C., Christidis, T., Michaud, I., Tjepkema, M., & Ross, N.A. (2019). The association between walkable neighbourhoods and physical activity across the lifespan. Health Reports, 30(9), 313. https://doi.org/10.25318/82-003-x201900900001-eng

    • Search Google Scholar
    • Export Citation
  • Costa, S., Barber, S.E., Cameron, N., & Clemes, S.A. (2014). Calibration and validation of the actigraph gt3x+ in 2–3 year olds. Journal of Science & Medicine in Sport, 17(6), 617622. https://doi.org/10.1016/j.jsams.2013.11.005

    • Crossref
    • Search Google Scholar
    • Export Citation
  • De Bock, F., Menze, J., Becker, S., Litaker, D., Fischer, J., & Seidel, I. (2010). Combining accelerometry and HR for assessing preschoolers’ physical activity. Medicine & Science in Sports & Exercise, 42(12), 223743. https://doi.org/10.1249/MSS.0b013e3181e27b5d

    • Crossref
    • Search Google Scholar
    • Export Citation
  • De Vries, S.I., Van Hirtum, H.W., Bakker, I., Hopman-Rock, M., Hirasing, R.A., & Van Mechelen, W. (2009). Validity and reproducibility of motion sensors in youth: A systematic update. Medicine & Science in Sports & Exercise, 41(4), 818827. https://doi.org/10.1249/MSS.0b013e31818e5819

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Djafarian, K., Hession, M., Speakman, J.R., & Jackson, D.M. (2005). Comparison of activity levels measured by a wrist worn accelerometer and direct observation in young children. Iranian Journal of Public Health, 34, 6970.

    • Search Google Scholar
    • Export Citation
  • Evenson, K.R., Catellier, D.J., Gill, K., Ondrak, K.S., & McMurray, R.G. (2008). Calibration of two objective measures of physical activity for children. Journal of Sports Sciences, 26(14), 15571565. https://doi.org/10.1080/02640410802334196

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Freedson, P., Bowles, H.R., Troiano, R., & Haskell, W. (2012). Assessment of physical activity using wearable monitors. Medicine & Science in Sports & Exercise, 44(Suppl. 1), S1S4. https://doi.org/10.1249/mss.0b013e3182399b7e

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hager, E.R., Gormley, C.E., Latta, L.W., Treuth, M.S., Caulfield, L.E., & Black, M.M. (2016). Toddler physical activity study: Laboratory and community studies to evaluate accelerometer validity and correlates. BMC Public Health, 16(1), 936. https://doi.org/10.1186/s12889-016-3569-9

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hislop, J., Palmer, N., Anand, P., & Aldin, T. (2016). Validity of wrist worn accelerometers and comparability between hip and wrist placement sites in estimating physical activity behaviour in preschool children. Physiological Measurement, 37(10), 17011714. https://doi.org/10.1088/0967-3334/37/10/1701

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hislop, J.F., Bulley, C., Mercer, T.H., & Reilly, J.J. (2012). Comparison of accelerometry cut points for physical activity and sedentary behavior in preschool children: A validation study. Pediatric Exercise Science, 24(4), 563576. https://doi.org/10.1123/pes.24.4.563

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Janssen, X., Cliff, D.P., Reilly, J.J., Hinkley, T., Jones, R.A., Batterham, M., Ekelund, U., Brage, S., & Okely, A.D. (2013). Predictive validity and classification accuracy of actigraph energy expenditure equations and cut-points in young children. PLoS One, 8(11), e79124. https://doi.org/10.1371/journal.pone.0079124

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Jimmy, G., Seller, R., & Maeder, U. (2013). Development and validation of energy expenditure prediction models based on gt3x accelerometer data in 5- to 9-year-old children. Journal of Physical Activity & Health, 10, 10571067. https://doi.org/10.1123/jpah.10.7.1057

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kahan, D., Nicaise, V., & Reuben, K. (2013). Convergent validity of four accelerometer cut points with direct observation of preschool children’s outdoor physical activity. Research Quarterly for Exercise & Sport, 84(1), 5967. https://doi.org/10.1080/02701367.2013.762294

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Katzmarzyk, P.T., Barreira, T.V., Broyles, S.T., Champagne, C.M., Chaput, J.-P., Fogelholm, M., Hu, G., Johnson, W.D., Kuriyan, R., Kurpad, A., Lambert, E.V., Maher, C., Maia, J., Matsudo, V., Olds, T., Onywera, V., Sarmiento, O.L., Standage, M., Tremblay, M.S., & Tudor-Locke, C. (2013). The international study of childhood obesity, lifestyle and the environment (ISCOLE): Design and methods. BMC Public Health, 13(1), 900900. https://doi.org/10.1186/1471-2458-13-900

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kim, Y., Beets, M.W., Welk, G.J., Kim, Y., Beets, M.W., & Welk, G.J. (2012). Everything you wanted to know about selecting the “right” actigraph accelerometer cut-points for youth, but…: A systematic review. Journal of Science & Medicine in Sport, 15(4), 311321. https://doi.org/10.1016/j.jsams.2011.12.001

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lee, E.Y., Hesketh, K.D., Hunter, S., Kuzik, N., Rhodes, R.E., Rinaldi, C.M., Spence, J.C., & Carson, V. (2017). Meeting new Canadian 24-hour movement guidelines for the early years and associations with adiposity among toddlers living in Edmonton, Canada. BMC Public Health, 17(5), 840. https://doi.org/10.1186/s12889-017-4855-x

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Migueles, J.H., Cadenas-Sanchez, C., Ekelund, U., Delisle Nystrom, C., Mora-Gonzalez, J., Lof, M., Labayen, I., Ruiz, J.R., & Ortega, F.B. (2017). Accelerometer data collection and processing criteria to assess physical activity and other outcomes: A systematic review and practical considerations. Sports Medicine, 47(9), 18211845. https://doi.org/10.1007/s40279-017-0716-0

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Montoye, A.H.K., Moore, R.W., Bowles, H.R., Korycinski, R., & Pfeiffer, K.A. (2018). Reporting accelerometer methods in physical activity intervention studies: A systematic review and recommendations for authors. British Journal of Sports Medicine, 52(23), 15071516. https://doi.org/10.1136/bjsports-2015-095947

    • Crossref
    • Search Google Scholar
    • Export Citation
  • National Health and Nutrition Examination Survey (U.S.). (2011). Physical Activity Monitor (PAM) Procedures Manual. National Centers for Disease Control and Prevention; pp. 136.

    • Search Google Scholar
    • Export Citation
  • Nettlefold, L., Naylor, P.J., Warburton, D.E., Bredin, S.S., Race, D., & McKay, H.A. (2016). The influence of epoch length on physical activity patterns varies by child’s activity level [Research Support, Non-U.S. Gov’t]. Research Quarterly for Exercise & Sport, 87(1), 110123. https://doi.org/10.1080/02701367.2015.1129046

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Pate, R.R., Almeida, M.J., McIver, K.L., Pfeiffer, K.A., & Dowda, M. (2006). Validation and calibration of an accelerometer in preschool children. Obesity, 14(11), 20002006. https://doi.org/10.1038/oby.2006.234

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Pate, R.R., O’Neill, J.R., & Mitchell, J. (2010). Measurement of physical activity in preschool children. Medicine & Science in Sports & Exercise, 42(3), 508512. https://doi.org/10.1249/MSS.0b013e3181cea116

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Penpraze, V., Reilly, J., Maclean, C.M., Montgomery, C., Kelly, L., Paton, J.Y., Aitchison, T., & Grant, S. (2006). Monitoring of physical activity in young children: How much is enough? Pediatric Exercise Science, 18(4), 483491. https://doi.org/10.1123/pes.18.4.483

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Pfeiffer, K.A., McIver, K.L., Dowda, M., Almeida, M.J., & Pate, R.R. (2006). Validation and calibration of the actical accelerometer in preschool children. Medicine and Science in Sports and Exercise, 38(1), 152157. https://doi.org/10.1249/01.mss.0000183219.44127.e7

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Poitras, V.J., Gray, C.E., Borghese, M.M., Carson, V., Chaput, J.P., Janssen, I., Katzmarzyk, P.T., Pate, R.R., Connor Gorber, S., Kho, M.E., Sampson, M., & Tremblay, M.S. (2016). Systematic review of the relationships between objectively measured physical activity and health indicators in school-aged children and youth. Applied Physiology, Nutrition and Metabolism, 41(6, Suppl. 3), S197239. https://doi.org/10.1139/apnm-2015-0663

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Puyau, M.R., Adolph, A.L., Vohra, F.A., Zakeri, I., & Butte, N.F. (2004). Prediction of activity energy expenditure using accelerometers in children. Medicine & Science in Sports & Exercise, 36(9), 16251631.

    • Search Google Scholar
    • Export Citation
  • Ravagnani, F.C.P., Coelho-Ravagnani, C.F., Brazendale, K., Weaver, R.G., Bornstein, D.B., & Beets, M.W. (2017). Application of the Rosetta stone to understand how much MVPA preschoolers accumulate: A systematic review. Journal of Science & Medicine in Sport, 20(9), 849855. https://doi.org/10.1016/j.jsams.2017.02.003

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 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 [Validation Studies]. Medicine & Science in Sports & Exercise, 46(12), 23082316. https://doi.org/10.1249/MSS.0000000000000365

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Sarker, H., Anderson, L.N., Borkhoff, C.M., Abreo, K., Tremblay, M.S., Lebovic, G., Maguire, J.L., Parkin, P.C., Birken, C.S., & The TARGet Kids Collaboration. (2015). Validation of parent-reported physical activity and sedentary time by accelerometry in young children. BMC Research Notes, 8, 735. https://doi.org/10.1186/s13104-015-1648-0

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Sirard, J.R., Trost, S.G., Pfeiffer, K.A., Dowda, M., & Pate, R.R. (2005). Calibration and evaluation of an objective measure of physical activity in preschool children. Journal of Physical Activity & Health, 2(3), 345357. https://doi.org/10.1123/jpah.2.3.345

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Small, L., Darya, B.-M., & Gannon, A.M. (2013). Physical activity of young overweight and obese children: Parent reports of child activity level compared with objective measures. Western Journal of Nursing Research, 35(5), 638654. https://doi.org/10.1177/0193945912471976

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Timmons, B.W., Leblanc, A.G., Carson, V., Connor Gorber, S., Dillman, C., Janssen, I., Kho, M.E., Spence, J.C., Stearns, J.A., & Tremblay, M.S. (2012). Systematic review of physical activity and health in the early years (aged 0–4 years). Applied Physiology, Nutrition and Metabolism, 37(4), 773792. https://doi.org/10.1139/h2012-070

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Tremblay, M.S., Chaput, J.P., Adamo, K.B., Aubert, S., Barnes, J.D., Choquette, L., Duggan, M., Faulkner, G., Goldfield, G.S., Gray, C.E., Gruber, R., Janson, K., Janssen, I., Janssen, X., Jaramillo Garcia, A., Kuzik, N., LeBlanc, C., MacLean, J., Okely, A.D., … Carson, V. (2017). Canadian 24-hour movement guidelines for the early years (0–4 years): An integration of physical activity, sedentary behaviour, and sleep. BMC Public Health, 17(Suppl. 5), 874. https://doi.org/10.1186/s12889-017-4859-6

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Troiano, R.P., Berrigan, D., Dodd, K.W., Msse, L.C., Tilert, T., & Mcdowell, M. (2008). Physical activity in the united states measured by accelerometer. Medicine & Science in Sports & Exercise, 40(1), 181188. https://doi.org/10.1249/mss.0b013e31815a51b3

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Trost, S.G., Fees, B.S., Haar, S.J., Murray, A.D., & Crowe, L.K. (2012). Identification and validity of accelerometer cut‐points for toddlers. Obesity, 20(11), 23172319. https://doi.org/10.1038/oby.2011.364

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Tudor-Locke, C., Barreira, T.V., Schuna, J.M., Mire, E.F., Chaput, J.P., Fogelholm, M., Hu, G., Kuriyan, R., Kurpad, A., Lambert, E.V., Maher, C., Maia, J., Matsudo, V., Olds, T., Onywera, V., Sarmiento, O.L., Standage, M., Tremblay, M.S., Zhao, P., … ISCOLE Research Group. (2015). Improving wear time compliance with a 24-hour waist-worn accelerometer protocol in the international study of childhood obesity, lifestyle and the environment (ISCOLE). International Journal of Behavioral Nutrition and Physical Activity, 12, 11. https://doi.org/10.1186/s12966-015-0172-x

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Vale, S., Santos, R., Silva, P., Soares-Miranda, L., & Mota, J. (2009). Preschool children physical activity measurement: Importance of epoch length choice. Pediatric Exercise Science, 21(4), 413420. https://doi.org/10.1123/pes.21.4.413

    • Crossref
    • Search Google Scholar
    • Export Citation
  • van Cauwenberghe, E.L.V., Trost, S.G., de Bourdeaudhuij, I., & Cardon, G. (2011). Calibration and comparison of accelerometer cut points in preschool children. International Journal of Pediatric Obesity, 6(2), e582e589. https://doi.org/10.3109/17477166.2010.526223

    • Crossref
    • Search Google Scholar
    • Export Citation
  • van Hees, V.T., Gorzelniak, L., Dean León, E.C., Eder, M., Pias, M., Taherian, S., … 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. https://doi.org/10.1371/journal.pone.0061691

    • Crossref
    • Search Google Scholar
    • Export Citation
  • White, T., Westgate, K., Wareham, N.J., & Brage, S. (2016). Estimation of physical activity energy expenditure during free-living from wrist accelerometry in UK adults. PLoS One, 11(12), e0167472. https://doi.org/10.1371/journal.pone.0167472

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Wijndaele, K., Westgate, K., Stephens, S.K., Blair, S.N., Bull, F.C., Chastin, S.F., Dunstan, D.W., Ekelund, U., Esliger, D.W., Freedson, P.S., Granat, M.H., Matthews, C.E., Owen, N., Rowlands, A.V., Sherar, L.B., Tremblay, M.S., Troiano, R.P., Brage, S., & Healy, G.N. (2015). Utilization and harmonization of adult accelerometry data: Review and expert consensus. Medicine & Science in Sports & Exercise, 47(10), 21292139. https://doi.org/10.1249/MSS.0000000000000661

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Wong, S.L., Colley, R., Connor Gorber, S., & Tremblay, M. (2011). Actical accelerometer sedentary activity thresholds for adults. Journal of Physical Activity & Health, 8(4), 587591. https://doi.org/10.1123/jpah.8.4.587

    • Crossref
    • Search Google Scholar
    • Export Citation
  • World Health Organization. (2019). Guidelines on physical activity, sedentary behaviour and sleep for children under 5 years of age.

  • Zhou, S.-M., Hill, R.A., Morgan, K., Stratton, G., Gravenor, M.B., Bijlsma, G., & Brophy, S. (2015). Classification of accelerometer wear and non-wear events in seconds for monitoring free-living physical activity. BMJ Open, 5(5), e007447. https://doi.org/10.1136/bmjopen-2014-007447

    • Crossref
    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 1116 874 87
Full Text Views 203 48 0
PDF Downloads 138 57 0