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Validity of accelerometry in ambulatory children and adolescents with cerebral palsy

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Abstract

To evaluate the validity of the ActiGraph accelerometer for the measurement of physical activity intensity in children and adolescents with cerebral palsy (CP) using oxygen uptake (VO2) as the criterion measure. Thirty children and adolescents with CP (mean age 12.6 ± 2.0 years) wore an ActiGraph 7164 and a Cosmed K4b2 portable indirect calorimeter during four activities; quiet sitting, comfortable paced walking, brisk paced walking and fast paced walking. VO2 was converted to METs and activity energy expenditure and classified as sedentary, light or moderate-to-vigorous intensity according to the conventions for children. Mean ActiGraph counts min−1 were classified as sedentary, light or moderate-to-vigorous (MVPA) intensity using four different sets of cut-points. VO2 and counts min−1 increased significantly with increases in walking speed (P < 0.001). Receiver operating characteristic (ROC) curve analysis indicated that, of the four sets of cut-points evaluated, the Evenson et al. (J Sports Sci 26(14):1557–1565, 2008) cut-points had the highest classification accuracy for sedentary (92%) and MVPA (91%), as well as the second highest classification accuracy for light intensity physical activity (67%). A ROC curve analysis of data from our participants yielded a CP-specific cut-point for MVPA that was lower than the Evenson cut-point (2,012 vs. 2,296 counts min−1), however, the difference in classification accuracy was not statistically significant 94% (95% CI = 88.2–97.7%) vs. 91% (95% CI = 83.5–96.5%). In conclusion, among children and adolescents with CP, the ActiGraph is able to differentiate between different intensities of walking. The use of the Evenson cut-points will permit the estimation of time spent in MVPA and allows comparisons to be made between activity measured in typically developing adolescents and adolescents with CP.

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References

  • Bassett DR, Rowlands AV, Trost SG (2011) Calibration and validation of wearable monitors. Med Sci Sports Exerc (in press)

  • Bjornson KF, Belza B, Kartin D, Logsdon R, McLaughlin JF (2007) Ambulatory physical activity performance in youth with cerebral palsy and youth who are developing typically. Phys Ther 87(3):248–257

    Article  PubMed  Google Scholar 

  • Children’s Hospital Institute of Sports Medicine (2001) Exercise and physical activity readiness assessment of children and young adolescents (expara)

  • Cole TJ, Bellizzi MC, Flegal KM, Dietz WH (2000) Establishing a standard definition for child overweight and obesity worldwide: international survey. Br Med J 320:1–6

    Article  Google Scholar 

  • Corry IS, Duffy CM, Cosgrave AP, Graham HK (1996) Measurement of oxygen consumption in disabled children by the Cosmed K2 portable telemetry system. Dev Med Child Neurol 38(7):585–593

    Article  PubMed  CAS  Google Scholar 

  • Department of Health PA, Health Improvement and Prevention (2004) At least five a week. Evidence on the impact of physical activity and its relationship to health. A report from the chief medical officer. Department of Health, London

  • Duffy CM, Hill AE, Cosgrave AP, Corry IS, Graham HK (1996) Energy consumption in children with spina bifida and cerebral palsy: a comparative study. Dev Med Child Neurol 38(3):238–243

    Article  PubMed  CAS  Google Scholar 

  • Evenson KR, Catellier DJ, Gill K, Ondrak KS, McMurray RG (2008) Calibration of two objective measures of physical activity for children. J Sports Sci 26(14):1557–1565

    PubMed  Google Scholar 

  • Fowler EG, Kolobe THA, Damiano DL, Thorpe DE, Morgan DW, Brunstrom JE, Coster WJ, Henderson RC, Pitetti KH, Rimmer JH, Rose J, Stevenson RD (2007) Promotion of physical fitness and prevention of secondary conditions for children with cerebral palsy. Phys Ther 87(11):1495–1510

    Article  PubMed  Google Scholar 

  • Freedson PS, Melanson EL, Sirard J (1998) Calibration of the computer science and applications, inc. Accelerometer. Med Sci Sports Exerc 30(5):777–781

    Article  PubMed  CAS  Google Scholar 

  • Freedson P, Pober D, Janz KF (2005) Calibration of accelerometer output for children. Med Sci Sports Exer 37(11):S523–S5230

    Article  Google Scholar 

  • Hogan A, McLellan L, Bauman A (2000) Health promotion needs of young people with disabilities—a population study. Disabil Rehabil 22(8):352–357

    Article  PubMed  CAS  Google Scholar 

  • Jago R, Zakeri I, Baranowski T, Watson K (2007) Decision boundaries and receiver operating characteristic curves: new methods for determining accelerometer cutpoints. J Sports Sci 25:937–944

    Article  PubMed  Google Scholar 

  • Johnston TE, Moore SE, Quinn SE, Smith BT (2004) Energy cost of walking in children with cerebral palsy: relation to the gross motor function classification system. Dev Med Child Neurol 46:34–38

    Article  PubMed  Google Scholar 

  • Keefer DJ, Tseh W, Caputo JL, Apperson K, McGreal S, Morgan DW (2004) Comparisons of direct and indirect measures of walking energy expenditure in children with hemiplegic cerebral palsy. Dev Med Child Neurol 46(5):320–324

    Article  PubMed  Google Scholar 

  • Maher CA, Williams MT, Olds T, Lane AE (2007) Physical and sedentary activity in adolescents with cerebral palsy. Dev Med Child Neurol 49(6):450–457

    Article  PubMed  Google Scholar 

  • Maltias DB, Pierrynowski MR, Galea VA, Bar-Or O (2005) Physical activity level is associated with the O2 cost of walking in cerebral palsy. Med Sci Sports Exerc 37(3):347–353

    Article  Google Scholar 

  • McArdle WD, Katch FI, Katch VL (1991) Exercise physiology: energy, nutrition, and human performance. Lea and Febiger, Philadelphia

  • Nichols JF, Morgan CG, Chabot LE, Sallis JF, Calfas KJ (2000) Assessment of physical activity with the computer science and applications, inc., accelerometer: laboratory versus field validation. Res Q Exerc Sport 71(1):36–43

    PubMed  CAS  Google Scholar 

  • Odding E, Roebroeck MJ, Hendrik JS (2006) The epidemiology of cerebral palsy: incidence, impairments and risk factors. Disabil Rehabil 28(4):183–191

    Article  PubMed  Google Scholar 

  • Palisano R, Rosenbaum P, Walter S, Russell D, Wood E, Galuppi B (1997) Development and reliability of a system to classify gross motor function in children with cerebral palsy. Dev Med Child Neurol 39(4):214–223

    Article  PubMed  CAS  Google Scholar 

  • Partnership NationalPublicHealth (2005) Be active Australia: a framework for health sector action for physical activity. National Public Health Partnership, Melbourne

    Google Scholar 

  • Pirpiris M, Graham HK (2004) Uptime in children with cerebral palsy. J Pediatr Orthop 24(5):521–528

    Article  PubMed  Google Scholar 

  • Puyau MR, Adolph AL, Vohra FA, Butte NF (2002) Validation and calibration of physical activity monitors in children. Obes Res 10:150–157

    Article  PubMed  Google Scholar 

  • Rosenbaum P, Paneth N, Leviton A, Goldstein MG, Bax M (2006) A report: the definition and classification of cerebral palsy April 2006. Dev Med Child Neurol 49(1):8–14

    Google Scholar 

  • Schofield WN (1985) Predicting basal metabolic rate, new standards and review of previous work. Hum Nutr Clin Nutr 39:S5–S41

    Google Scholar 

  • Stanley F, Blair E (2000) Epidemiology and causal pathways. Clinics in developmental medicine, vol 1. MacKeith Press, London

  • Treuth MS, Schmitz K, Catellier DJ, McMurray RG, Murray DM, Almeida J, Going S, Norman JE, Pate R (2004) Defining accelerometer thresholds for activity intensities in adolescent girls. Med Sci Sports Exerc 36(7):1259–1266

    PubMed  Google Scholar 

  • Trost SG (2001) Objective measurement of physical activity in youth: current issues, future directions. Exerc Sport Sci Rev 29(1):32–36

    Article  PubMed  CAS  Google Scholar 

  • Trost SG (2005) Discussion paper for the development of recommendations for children’s and youth’s participation in health promoting physical activity. Australian Government Department of Health and Aging, Canberra

    Google Scholar 

  • Trost SG (2007) Measurement of physical activity in children and adolescents. Am J Lifestyle Med 1:299–314

    Article  Google Scholar 

  • Trost SG, Ward DS, Moorehead SM, Watson PD, Riner W (1998) Validity of the computer science and applications (csa) activity monitor in children. Med Sci Sports Exerc 30(4):629–633

    Article  PubMed  CAS  Google Scholar 

  • Trost SG, McIver KL, Pate RR (2005) Conducting accelerometer-based activity assessments in field-based research. Med Sci Sports Exerc 37(11):S531–S543

    Article  PubMed  Google Scholar 

  • Trost S, Way R, OKely A (2006) Predictive validity of three actigraph energy expenditure equations for children. Med Sci Sports Exerc 38(2):380–387

    Article  PubMed  Google Scholar 

  • Turley KR, Wilmore JH (1997) Cardiovascular responses to treadmill and cycle ergometer exercise in children and adults. J Appl Physiol 83:948–957

    PubMed  CAS  Google Scholar 

  • Tweedy S, Trost SG (2005) Validity of accelerometry for measurement of activity in people with brain injury. Med Sci Sports Exerc 37(9):1474–1480

    Article  PubMed  Google Scholar 

  • U.S. Department of Health and Human Services (2008) Review of the science: health outcomes associated with physical activity in people with disabilities. In: 2008 physical activity guidelines for Americans Department of Health and Human Services, Washington, DC, pp 1–72

  • van den Berg-Emons HJG, Saris WHM, de Barbanson DC, Westerterp KR, Huson A, van Baak MA (1995) Daily physical activity of schoolchildren with spastic diplegia and of healthy control subjects. J Pediatr 127(4):578–584

    Article  PubMed  Google Scholar 

  • Van den Berg-Emons HJG, Saris WHM, Westerterp KR, Van Baak MA (1996) Heart rate monitoring to assess energy expenditure in children with reduced activity levels. Med Sci Sports Exerc 28:496–501

    Article  PubMed  Google Scholar 

  • Welk GJ (2005) Principles of design and analyses for the calibration of accelerometry-based activity monitors. Med Sci Sports Exerc 37(11):s501–s511

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

Kelly Clanchy’s work is funded by the National Health and Medical Research Council (NHMRC) Public Health PhD Scholarship. Sean Tweedy’s work is supported by Motor Accident Insurance Commission, Australia. Roslyn Boyd’s work is supported by a career development Award from the NHMRC and a Smart State Fellowship from The University of Queensland. Project supported by Population Health Unit, Queensland Health. The results of this study do not constitute endorsement of either the Cosmed K4b2 or the ActiGraph.

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Correspondence to Kelly M. Clanchy.

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Communicated by Susan A. Ward.

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Clanchy, K.M., Tweedy, S.M., Boyd, R.N. et al. Validity of accelerometry in ambulatory children and adolescents with cerebral palsy. Eur J Appl Physiol 111, 2951–2959 (2011). https://doi.org/10.1007/s00421-011-1915-2

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