417
Views
3
CrossRef citations to date
0
Altmetric
Physical Activity, Health and Exercise

Accelerometer epoch length influence associations for physical activity intensities with body mass index and locomotor skills in young children

ORCID Icon &
Pages 1568-1577 | Accepted 18 Jun 2022, Published online: 25 Jun 2022

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. https://doi.org/10.1016/j.ypmed.2018.08.001
  • Aadland, E., Kvalheim, O. M., Anderssen, S. A., Resaland, G. K., & Andersen, L. B. (2018). The multivariate physical activity signature associated with metabolic health in children. International Journal of Behavioral Nutrition and Physical Activity, 15(77). https://doi.org/10.1186/s12966-018-0707-z
  • Aadland, E., Andersen, L. B., Anderssen, S. A., Resaland, G. K., & Kvalheim, O. M. (2019). Accelerometer epoch setting is decisive for associations between physical activity and metabolic health in children. Journal of Sports Sciences. 38(3) , 256–263. https://doi.org/10.1080/02640414.2019.1693320
  • Aadland, E., Andersen, L. B., Resaland, G. K., & Kvalheim, O. M. (2019). Interpretation of multivariate association patterns between multicollinear physical activity accelerometry data and cardiometabolic health in children—a tutorial. Metabolites, 9(7), 129. https://doi.org/10.3390/metabo9070129
  • Aadland, E., Nilsen, A. K. O., Ylvisåker, E., Johannessen, K., & Anderssen, S. A. (2020). Reproducibility of objectively measured physical activity: Reconsideration needed. Journal of Sports Sciences, 38(10), 1132–1139. https://doi.org/10.1080/02640414.2020.1743054
  • Aadland, E., Holmøy, O. K., & Nilsen, A. K. O. (2021). The multivariate physical activity signature associated with body mass index in young children. Preventive Medicine, 145, 106437. https://doi.org/10.1016/j.ypmed.2021.106437
  • Altenburg, T. M., Wang, X., Van Ekris, E., Andersen, L. B., Møller, N. C., Wedderkopp, N., Niels Chinapaw, Mai JM. (2021). The consequences of using different epoch lengths on the classification of accelerometer based sedentary behaviour and physical activity. PloS one, 16(7), e0254721. https://doi.org/10.1371/journal.pone.0254721
  • Bailey, R. C., Olson, J., Pepper, S. L., Porszasz, J., Barstow, T. J., & Cooper, D. M. (1995). The level and tempo of childrens physical activities – An observational study. Medicine and Science in Sports and Exercise, 27(7), 1033–1041. https://doi.org/10.1249/00005768-199507000-00012
  • Banda, J. A., Haydel, K. F., Davila, T., Desai, M., Bryson, S., Haskell, W. L., Matheson, D, Robinson, Thomas N. (2016). 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), 13. https://doi.org/10.1371/journal.pone.0150534
  • Bingham, D. D., Costa, S., Hinkley, T., Shire, K. A., Clemes, S. A., & Barber, S. E. (2016). Physical activity during the early years a systematic review of correlates and determinants. American Journal of Preventive Medicine, 51(3), 384–402. https://doi.org/10.1016/j.amepre.2016.04.022
  • 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 & Health, 10(3), 437–450. https://doi.org/10.1123/jpah.10.3.437
  • Carson, V., Lee, E. Y., Hewitt, L., Jennings, C., Hunter, S., Kuzik, N., Stearns, Jodie A, Unrau, S.P, Poitras, Veronica J, Gray, C. (2017). Systematic review of the relationships between physical activity and health indicators in the early years (0-4 years). BMC Public Health, 17 , 854. https://doi.org/10.1186/s12889-017-4860-0
  • Cole, T. J., Bellizzi, M. C., Flegal, K. M., & Dietz, W. H. (2000a). Establishing a standard definition for child overweight and obesity worldwide: International survey. British Medical Journal, 320(7244), 1240–1243. https://doi.org/10.1136/bmj.320.7244.1240
  • Diamond, A. (2000). Close interrelation of motor development and cognitive development and of the cerebellum and prefrontal cortex. Child Development, 71(1) , 44–56. https://doi.org/10.1111/1467-8624.00117
  • Ekelund, U., Luan, J. A., Sherar, L. B., Esliger, D. W., Griew, P., Cooper, A., et al. (2012). Moderate to vigorous physical activity and sedentary time and cardiometabolic risk factors in children and adolescents. Journal of the American Medical Association, 307(7), 704–712. https://doi.org/10.1001/jama.2012.156
  • Esliger, D. W., Copeland, J. L., Barnes, J. D., & Tremblay, M. S. (2005). Standardizing and optimizing the use of accelerometer data for free-living physical activity monitoring. Journal of Physical Activity & Health, 2(3), 366. https://doi.org/10.1123/jpah.2.3.366
  • 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), 1557–1565. https://doi.org/10.1080/02640410802334196
  • Froberg, A., Berg, C., Larsson, C., Boldemann, C., & Raustorp, A. (2017). Combinations of epoch durations and cut-points to estimate sedentary time and physical activity among adolescents. Measurement in Physical Education and Exercise Science, 21(3), 154–160. https://doi.org/10.1080/1091367x.2017.1309657
  • Hjorth, M. F., Chaput, J. P., Ritz, C., Dalskov, S. M., Andersen, R., Astrup, A., et al. (2014). Fatness predicts decreased physical activity and increased sedentary time, but not vice versa: Support from a longitudinal study in 8-to 11-year-old children. International Journal of Obesity, 38(7), 959–965. https://doi.org/10.1038/ijo.2013.229
  • Janssen, I., & LeBlanc, A. G. (2010). Systematic review of the health benefits of physical activity and fitness in school-aged children and youth. International Journal of Behavioral Nutrition and Physical Activity, 7(1), 1–16. https://doi.org/10.1186/1479-5868-7-40
  • John, D., & Freedson, P. (2012). ActiGraph and actical physical activity monitors: A peek under the hood. Medicine and Science in Sports and Exercise, 44(1 Suppl 1), S86–9. https://doi.org/10.1249/MSS.0b013e3182399f5e
  • Jones, D., Innerd, A., Giles, E. L., & Azevedo, L. B. (2020). Association between fundamental motor skills and physical activity in the early years: A systematic review and meta-analysis. Journal of Sport and Health Science, 9(6), 542–552. https://doi.org/10.1016/j.jshs.2020.03.001
  • Kvalheim, O. M., & Karstang, T. V. (1989). Interpretation of latent-variable regression-models. Chemometrics and Intelligent Laboratory Systems, 7(1–2), 39–51. https://doi.org/10.1016/0169-74398980110-8
  • Kvalheim, O. M., Arneberg, R., Grung, B., & Rajalahti, T. (2018). Determination of optimum number of components in partial least squares regression from distributions of the root-mean-squared error obtained by Monte Carlo resampling. Journal of Chemometrics, 32(4), e2993. https://doi.org/10.1002/cem.2993
  • Migueles, J. H., Cadenas-Sanchez, C., Ekelund, U., Nystrom, C. D., Mora-Gonzalez, J., Lof, M., et al. (2017). 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. https://doi.org/10.1007/s40279-017-0716-0
  • Migueles, J. H., Cadenas‐Sanchez, C., Tudor‐Locke, C., Löf, M., Esteban‐Cornejo, I., Molina‐Garcia, P., et al. (2019). Comparability of published cut‐points for the assessment of physical activity: Implications for data harmonization. Scandinavian Journal of Medicine & Science in Sports, 29(4), 566–574. https://doi.org/10.1111/sms.13356
  • Nettlefold, L., Naylor, P. J., Warburton, D. E. R., Bredin, S. S. D., Race, D., & McKay, H. A. (2016). The influence of epoch length on physical activity patterns varies by child’s activity level. Research Quarterly for Exercise and Sport, 87(1), 110–123. https://doi.org/10.1080/02701367.2015.1129046
  • Nilsen, A. K. O., Anderssen, S. A., Loftesnes, J. M., Johannessen, K., Ylvisaaker, E., & Aadland, E. (2019). The multivariate physical activity signature associated with fundamental motor skills in preschoolers. Journal of Sports Sciences. 38(3) , 1–9. https://doi.org/10.1080/02640414.2019.1694128
  • Nilsen, A. K. O., Anderssen, S. A., Ylvisåker, E., Johannessen, K., & Aadland, E. (2019). Physical activity among Norwegian preschoolers varies by sex, age, and season. Scandinavian Journal of Medicine & Science in Sports, 29(6), 862–873. https://doi.org/10.1111/sms.13405
  • Nilsen, A. K. O., Anderssen, S. A., Johannessen, K., Aadland, K. N., Ylvisaaker, E., Loftesnes, J. M., et al. (2020). Bi-directional prospective associations between objectively measured physical activity and fundamental motor skills in children: A two-year follow-up. International Journal of Behavioral Nutrition and Physical Activity, 17(), 1. https://doi.org/10.1186/s12966-019-0902-6
  • Nilsson, A., Ekelund, U., Yngve, A., & Sjostrom, M. (2002). Assessing physical activity among children with accelerometers using different time sampling intervals and placements. Pediatric Exercise Science, 14(1), 87–96. https://doi.org/10.1123/pes.14.1.87
  • O’Brien, K. T., Vanderloo, L. M., Bruijns, B. A., Truelove, S., & Tucker, P. (2018). Physical activity and sedentary time among preschoolers in centre-based childcare: A systematic review. The International Journal Of Behavioral Nutrition And Physical Activity, 15(1), 117. https://doi.org/10.1186/s12966-018-0745-6
  • Poitras, V. J., Gray, C. E., Borghese, M. M., Carson, V., Chaput, J. P., Janssen, I., et al. (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), S197–S239. https://doi.org/10.1139/apnm-2015-0663
  • Rajalahti, T., Arneberg, R., Berven, F. S., Myhr, K. M., Ulvik, R. J., & Kvalheim, O. M. (2009). Biomarker discovery in mass spectral profiles by means of selectivity ratio plot. Chemometrics and Intelligent Laboratory Systems, 95(1), 35–48. https://doi.org/10.1016/j.chemolab.2008.08.004
  • Rajalahti, T., Arneberg, R., Kroksveen, A. C., Berle, M., Myhr, K. M., & Kvalheim, O. M. (2009). Discriminating variable test and selectivity ratio plot: quantitative tools for interpretation and variable (biomarker) selection in complex spectral or chromatographic profiles. Analytical Chemistry, 81(7), 2581–2590. https://doi.org/10.1021/ac802514y
  • Rajalahti, T., & Kvalheim, O. M. (2011). Multivariate data analysis in pharmaceutics: A tutorial review. International Journal of Pharmaceutics, 417(1–2), 280–290. https://doi.org/10.1016/j.ijpharm.2011.02.019
  • Rowlands, A. V., Pilgrim, E. L., & Eston, R. G. (2008). Patterns of habitual activity across weekdays and weekend days in 9-11-year-old children. Preventive Medicine, 46(4), 317–324. https://doi.org/10.1016/j.ypmed.2007.11.004
  • Sanders, T., Cliff, D. P., & Lonsdale, C. (2014). Measuring adolescent boys’ physical activity: Bout length and the influence of accelerometer epoch length. PLoS One, 9(3), e92040. https://doi.org/10.1371/journal.pone.0092040
  • Skrede, T., Aadland, E., Anderssen, S. A., Resaland, G. K., & Ekelund, U. (2021). Bi-directional prospective associations between sedentary time, physical activity and adiposity in 10-year old Norwegian children. Journal of Sports Sciences. 39(15) , 1–8. https://doi.org/10.1080/02640414.2021.1898114
  • Stodden, D. F., Goodway, J. D., Langendorfer, S. J., Roberton, M. A., Rudisill, M. E., Garcia, C., et al. (2008). A developmental perspective on the role of motor skill competence in physical activity: An emergent relationship. Quest, 60(2), 290–306. https://doi.org/10.1080/00336297.2008.10483582
  • Sun, S. H., Zhu, Y. C., Shih, C. L., Lin, C. H., & Wu, S. K. (2010). Development and initial validation of the preschooler gross motor quality scale. Research in Developmental Disabilities, 31(6), 1187–1196. https://doi.org/10.1016/j.ridd.2010.08.002
  • Ulrich, D. (2019). Test of gross motor development. Examiner’s manual (3rd ed.). pro.ed.
  • 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), 413–420. https://doi.org/10.1123/pes.21.4.413
  • Wiersma, R., Haverkamp, B. F., van Beek, J. H., Riemersma, A. M. J., Boezen, H. M., Smidt, N., et al. (2020). Unravelling the association between accelerometer-derived physical activity and adiposity among preschool children: A systematic review and meta-analyses. Obesity Reviews, 21(2), 15. https://doi.org/10.1111/obr.12936
  • Wold, S., Ruhe, A., Wold, H., & Dunn, W. J. (1984). The collinearity problem in linear regression – The partial least-squares (pls) approach to generalized inverses. Siam Journal on Scientific and Statistical Computing, 5(3), 735–743. https://doi.org/10.1137/0905052
  • World Health Organization. (2019). WHO guidelines on physical activity, sedentary behavior and sleep for children under 5 years of age.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.