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Published in: European Journal of Pediatrics 8/2017

01-08-2017 | Original Article

Calibration of GENEActiv accelerometer wrist cut-points for the assessment of physical activity intensity of preschool aged children

Authors: Clare M. P. Roscoe, Rob S. James, Michael J. Duncan

Published in: European Journal of Pediatrics | Issue 8/2017

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Abstract

This study sought to validate cut-points for use of wrist-worn GENEActiv accelerometer data, to analyse preschool children’s (4 to 5 year olds) physical activity (PA) levels via calibration with oxygen consumption values (VO2). This was a laboratory-based calibration study. Twenty-one preschool children, aged 4.7 ± 0.5 years old, completed six activities (ranging from lying supine to running) whilst wearing the GENEActiv accelerometers at two locations (left and right wrist), these being the participants’ non-dominant and dominant wrist, and a Cortex face mask for gas analysis. VO2 data was used for the assessment of criterion validity. Location specific activity intensity cut-points were established via receiver operator characteristic curve (ROC) analysis. The GENEActiv accelerometers, irrespective of their location, accurately discriminated between all PA intensities (sedentary, light, and moderate and above), with the dominant wrist monitor providing a slightly more precise discrimination at light PA and the non-dominant at the sedentary behaviour and moderate and above intensity levels (area under the curve (AUC) for non-dominant = 0.749–0.993, compared to AUC dominant = 0.760–0.988).
Conclusion: This study establishes wrist-worn physical activity cut-points for the GENEActiv accelerometer in preschoolers.
What is Known:
GENEActiv accelerometers have been validated as a PA measurement tool in adolescents and adults.
• No study to date has validated the GENEActiv accelerometers in preschoolers.
What is New:
• Cut-points were determined for the wrist-worn GENEActiv accelerometer in preschoolers.
• These cut-points can be used in future research to help classify and increase preschoolers’ compliance rates with PA.
Literature
1.
go back to reference Adolph AL, Puyau MR, Vohra FA, Nicklas TA, Zakeri IF, Butte NF (2012) Validation of uniaxal and triaxal accelerometers for the assessment of physical activity in preschool children. J Phys Act Health 9:944–953CrossRefPubMed Adolph AL, Puyau MR, Vohra FA, Nicklas TA, Zakeri IF, Butte NF (2012) Validation of uniaxal and triaxal accelerometers for the assessment of physical activity in preschool children. J Phys Act Health 9:944–953CrossRefPubMed
2.
go back to reference Ainsworth BE, Haskell WL, Whitt MC, Irwin ML, Swartz AM, Strath SJ, O’Brien WL, Bassett DR Jr, Schmitz KH, Emplaincourt PO, Jacobs DR Jr, Leon AS (1993) Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc 25:71–80CrossRefPubMed Ainsworth BE, Haskell WL, Whitt MC, Irwin ML, Swartz AM, Strath SJ, O’Brien WL, Bassett DR Jr, Schmitz KH, Emplaincourt PO, Jacobs DR Jr, Leon AS (1993) Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc 25:71–80CrossRefPubMed
3.
go back to reference Bentley GF, Jago R, Turner KM (2015) Mothers’ perceptions of the UK physical activity and sedentary behaviour guidelines for the early years (start active, stay active): a qualitative study. BMJ Open 5:e008383CrossRefPubMedPubMedCentral Bentley GF, Jago R, Turner KM (2015) Mothers’ perceptions of the UK physical activity and sedentary behaviour guidelines for the early years (start active, stay active): a qualitative study. BMJ Open 5:e008383CrossRefPubMedPubMedCentral
4.
go back to reference Cohen J (1988) Statistical power analysis for the behavioral sciences, 2nd edn. Lawrence Earlbaum Associates, Hillsdale Cohen J (1988) Statistical power analysis for the behavioral sciences, 2nd edn. Lawrence Earlbaum Associates, Hillsdale
5.
6.
go back to reference Duncan MJ, Wilson S, Tallis J, Eyre E (2016) Validation of the Phillips et al. GENEActiv accelerometer wrist cut-points in children aged 5-8 years old. Eur J Pediatr. doi:10.1007/s00431-016-2795-6 Duncan MJ, Wilson S, Tallis J, Eyre E (2016) Validation of the Phillips et al. GENEActiv accelerometer wrist cut-points in children aged 5-8 years old. Eur J Pediatr. doi:10.​1007/​s00431-016-2795-6
7.
go back to reference Esliger DW, Tremblay MS (2007) Physical activity and inactivity profiling: the next generation. Can J Public Health 98(Supp 2):S195–S207PubMed Esliger DW, Tremblay MS (2007) Physical activity and inactivity profiling: the next generation. Can J Public Health 98(Supp 2):S195–S207PubMed
8.
go back to reference Esliger DW, Rowlands AV, Hurst TL, Catt M, Murray P, Eston RG (2011) Validation of GENEA accelerometer. Med Sci Sports Exerc 43:1085–1093CrossRefPubMed Esliger DW, Rowlands AV, Hurst TL, Catt M, Murray P, Eston RG (2011) Validation of GENEA accelerometer. Med Sci Sports Exerc 43:1085–1093CrossRefPubMed
9.
go back to reference Hardy LL, King L, Kelly B, Farrell L, Howlett S (2010) Munch and move: evaluation of a preschool healthy eating and movement skill program. Int J Behav Nutr Phys Act 7:80CrossRefPubMedPubMedCentral Hardy LL, King L, Kelly B, Farrell L, Howlett S (2010) Munch and move: evaluation of a preschool healthy eating and movement skill program. Int J Behav Nutr Phys Act 7:80CrossRefPubMedPubMedCentral
10.
go back to reference Harrell JS, McMurray RG, Baggett CD, Pennell ML, Pearce PF, Bangdiwala SI (2005) Energy costs of physical activities in children and adolescents. Med Sci Sports Exerc 37:329–336CrossRefPubMed Harrell JS, McMurray RG, Baggett CD, Pennell ML, Pearce PF, Bangdiwala SI (2005) Energy costs of physical activities in children and adolescents. Med Sci Sports Exerc 37:329–336CrossRefPubMed
11.
go back to reference Jackson DM, Reilly JJ, Kelly LA, Montgomery C, Grant S, Paton JY (2003) Objectively measured physical activity in a representative sample of 3- to 4-year old children. Obes Res 11:420–425CrossRefPubMed Jackson DM, Reilly JJ, Kelly LA, Montgomery C, Grant S, Paton JY (2003) Objectively measured physical activity in a representative sample of 3- to 4-year old children. Obes Res 11:420–425CrossRefPubMed
12.
go back to reference Mackintosh KA, Ridley K, Stratton G, Ridger ND (2016) Energy cost of free-play activities in 10-to 11-year-old children. J Phys Act Health 13(Supp):S71–S74CrossRefPubMed Mackintosh KA, Ridley K, Stratton G, Ridger ND (2016) Energy cost of free-play activities in 10-to 11-year-old children. J Phys Act Health 13(Supp):S71–S74CrossRefPubMed
13.
go back to reference McArdle WD, Katch FI, Katch VL (2010) Exercise physiology: nutrition, energy, and human performance, 7th edn. Lippincott Williams & Wilkins, Philadelphia McArdle WD, Katch FI, Katch VL (2010) Exercise physiology: nutrition, energy, and human performance, 7th edn. Lippincott Williams & Wilkins, Philadelphia
14.
go back to reference Pate RR, O’Neill JR, Lobelo F (2008) The evolving definition of “sedentary”. Exerc Sport Sci Rev 36(4):173–178CrossRefPubMed Pate RR, O’Neill JR, Lobelo F (2008) The evolving definition of “sedentary”. Exerc Sport Sci Rev 36(4):173–178CrossRefPubMed
15.
go back to reference Pepe M, Janes H, Longton G, Leisenring W, Newcomb P (2004) Limitations of the odds ratio in gauging the performance of a diagnostic, prognostic, or screening marker. Am J Epidemiol 159:882–890CrossRefPubMed Pepe M, Janes H, Longton G, Leisenring W, Newcomb P (2004) Limitations of the odds ratio in gauging the performance of a diagnostic, prognostic, or screening marker. Am J Epidemiol 159:882–890CrossRefPubMed
16.
go back to reference Phillips LRS, Parfitt G, Rowlands AV (2014) Calibration of the GENEA accelerometer for assessment of physical activity intensity in children. J Sci Med Sport 16:124–128CrossRef Phillips LRS, Parfitt G, Rowlands AV (2014) Calibration of the GENEA accelerometer for assessment of physical activity intensity in children. J Sci Med Sport 16:124–128CrossRef
17.
go back to reference Reilly JJ, Janssen X, Cliff DP, Oakley AD (2015) Appropriateness of the definition of ‘sedentary’ in young children: whole-room calorimetry study. J Sci Med Sport 18:565–568CrossRefPubMed Reilly JJ, Janssen X, Cliff DP, Oakley AD (2015) Appropriateness of the definition of ‘sedentary’ in young children: whole-room calorimetry study. J Sci Med Sport 18:565–568CrossRefPubMed
18.
go back to reference Ridley K, Olds TS (2008) Assigning energy costs to activities in children: a review and synthesis. Med Sci Sports Exerc 40:1439–1446CrossRefPubMed Ridley K, Olds TS (2008) Assigning energy costs to activities in children: a review and synthesis. Med Sci Sports Exerc 40:1439–1446CrossRefPubMed
19.
go back to reference Rose-Jacobs R (1983) Development of gait at slow, free, and fast speeds in 3- and 5-year old children. Phys Ther 63:1251–1259CrossRefPubMed Rose-Jacobs R (1983) Development of gait at slow, free, and fast speeds in 3- and 5-year old children. Phys Ther 63:1251–1259CrossRefPubMed
20.
go back to reference Saint-Maurice PF, Kim Y, Welk GJ, Gaesser G (2016) Kids are not little adults: what MET threshold captures sedentary behavior in children? Eur J Appl Physiol 116:29–38CrossRefPubMed Saint-Maurice PF, Kim Y, Welk GJ, Gaesser G (2016) Kids are not little adults: what MET threshold captures sedentary behavior in children? Eur J Appl Physiol 116:29–38CrossRefPubMed
21.
go back to reference Sallis JF, Buono MJ, Freedson PS (1991) Bias in estimating caloric expenditure from physical activity in children. Implications for epidemiological studies. Sports Med 11:203–209 Sallis JF, Buono MJ, Freedson PS (1991) Bias in estimating caloric expenditure from physical activity in children. Implications for epidemiological studies. Sports Med 11:203–209
22.
go back to reference Schofield WN (1985) Predicting basal metabolic rate, new standards and review of previous work. Hum Nutr Clin Nutr 39(Suppl 1):5–41PubMed Schofield WN (1985) Predicting basal metabolic rate, new standards and review of previous work. Hum Nutr Clin Nutr 39(Suppl 1):5–41PubMed
23.
go back to reference Spurr GB, Barac-Nieto M, Reins JC, Ramierez R (1984) Marginal mal-nutrition in school-aged Colombian boys: efficiency of treadmill walking in submaximal exercise. Am J Clin Nutr 39:452–459PubMed Spurr GB, Barac-Nieto M, Reins JC, Ramierez R (1984) Marginal mal-nutrition in school-aged Colombian boys: efficiency of treadmill walking in submaximal exercise. Am J Clin Nutr 39:452–459PubMed
24.
go back to reference Vale S, Trost SG, Duncan MJ, Mota J (2015) Step based physical activity guidelines for preschool-aged children. Prev Med 70:78–82CrossRefPubMed Vale S, Trost SG, Duncan MJ, Mota J (2015) Step based physical activity guidelines for preschool-aged children. Prev Med 70:78–82CrossRefPubMed
25.
go back to reference Welk GJ (2005) Principles of design and analyses for the calibration of accelerometry-based activity monitors. Med Sci Sports Exerc 37(Suppl. 11):S501–S511CrossRefPubMed Welk GJ (2005) Principles of design and analyses for the calibration of accelerometry-based activity monitors. Med Sci Sports Exerc 37(Suppl. 11):S501–S511CrossRefPubMed
26.
go back to reference Westerterp KR (1999) Physical activity assessment with accelerometers. Int J Obes Relat Metab Disord 23(Supp 3):S45–S49CrossRefPubMed Westerterp KR (1999) Physical activity assessment with accelerometers. Int J Obes Relat Metab Disord 23(Supp 3):S45–S49CrossRefPubMed
Metadata
Title
Calibration of GENEActiv accelerometer wrist cut-points for the assessment of physical activity intensity of preschool aged children
Authors
Clare M. P. Roscoe
Rob S. James
Michael J. Duncan
Publication date
01-08-2017
Publisher
Springer Berlin Heidelberg
Published in
European Journal of Pediatrics / Issue 8/2017
Print ISSN: 0340-6199
Electronic ISSN: 1432-1076
DOI
https://doi.org/10.1007/s00431-017-2948-2

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