Literature DB >> 28674825

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

Clare M P Roscoe1,2, Rob S James3, Michael J Duncan3.   

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.

Entities:  

Keywords:  Calibration; GENEActiv accelerometers; Physical activity; Preschoolers

Mesh:

Year:  2017        PMID: 28674825     DOI: 10.1007/s00431-017-2948-2

Source DB:  PubMed          Journal:  Eur J Pediatr        ISSN: 0340-6199            Impact factor:   3.183


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Authors:  Clare M P Roscoe; Rob S James; Michael J Duncan
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7.  Revisiting the cross-sectional and prospective association of physical activity with body composition and physical fitness in preschoolers: A compositional data approach.

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8.  Calibration and Cross-Validation of Accelerometery for Estimating Movement Skills in Children Aged 8-12 Years.

Authors:  Michael J Duncan; Alexandra Dobell; Mark Noon; Cain C T Clark; Clare M P Roscoe; Mark A Faghy; David Stodden; Ryan Sacko; Emma L J Eyre
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Authors:  Brian A Lynch; Tara K Kaufman; Tamim I Rajjo; K Mohammed; Seema Kumar; M Hassan Murad; Natalie E Gentile; Gabriel A Koepp; Shelly K McCrady-Spitzer; James A Levine
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