Validation and Calibration of the Actical Accelerometer in Preschool Children

Pfeiffer, Karin A.; McIver, Kerry L.; Dowda, Marsha; Almeida, Maria João C. A.; Pate, Russell R.

doi:10.1249/01.mss.0000183219.44127.e7

Cited by 176 publications

(182 citation statements)

References 15 publications

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“…As this is the first study to examine the classification accuracy of Actical physical activity and sedentary behaviour cut-points in 4-6 year-old children comparison to other studies is limited. The cut-points included in the current study were all developed in samples including preschool children (Adolph, et al, 2012;Evenson, et al, 2008;Pfeiffer, et al, 2006). Adolph resulted in the best classification accuracy for all physical activity intensities.…”

Section: Discussionmentioning

confidence: 99%

“…This is in line with the results of the current study, which suggest that the Pfeiffer cut-point might be too high to accurately classify moderate-to-vigorous intensity physical activity. In addition, free-living physical activities were not included in Pfeiffer, et al, 2006) calibration protocol, whereas Adolph et al (2012) did include free-living activities. Calibration studies should include ambulatory and nonambulatory activities to cover a broad range of free-living activities (Bassett, et al, 2012).…”

Section: Discussionmentioning

confidence: 99%

“…Actical data were classified as sedentary behaviour, light intensity physical activity and moderate-to-vigorous intensity physical activity using the Pfeiffer, Adolph and Evenson Actical cut-points. Pfeiffer et al (2006) only developed moderate-to-vigorous intensity physical activity cut-point and therefore no sedentary behaviour/light intensity physical activity cut-point was available. The Children's Activity…”

Section: Data Reductionmentioning

confidence: 99%

“…Several studies have developed activity energy expenditure equations and cut-points specific to the Actical accelerometer, based on accelerometer counts, to estimate activity energy expenditure or classify physical activity intensity (Adolph, et al, 2012;Evenson, et al, 2008;Pfeiffer, et al, 2006). However, key methodological differences exist in the studies from which those equations and cut-points were developed (Table 1).…”

Section: Introductionmentioning

confidence: 99%

“…playing with toys, arts and crafts, stair walking) (Adolph, et al, 2012;Evenson, et al, 2008). These variations during calibration of the Actical may explain why different equations and cut-points for estimating activity energy expenditure and classifying physical activity intensity have emerged (Adolph, et al, 2012;Evenson, et al, 2008;Pfeiffer, et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Evaluation of Actical equations and thresholds to predict physical activity intensity in young children

Janssen

Cliff

Reilly

et al. 2014

Journal of Sports Sciences

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This version is available at https://strathprints.strath.ac.uk/52800/ Strathprints is designed to allow users to access the research output of the University of Strathclyde. Unless otherwise explicitly stated on the manuscript, Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Please check the manuscript for details of any other licences that may have been applied. You may not engage in further distribution of the material for any profitmaking activities or any commercial gain. You may freely distribute both the url (https://strathprints.strath.ac.uk/) and the content of this paper for research or private study, educational, or not-for-profit purposes without prior permission or charge.Any correspondence concerning this service should be sent to the Strathprints administrator: strathprints@strath.ac.ukThe Strathprints institutional repository (https://strathprints.strath.ac.uk) is a digital archive of University of Strathclyde research outputs. It has been developed to disseminate open access research outputs, expose data about those outputs, and enable the management and persistent access to Strathclyde's intellectual output.1 Evaluation of Actical equations and thresholds to predict physical activity intensity in young childrenXanne Janssen AbstractThis study examined the validity of current Actical activity energy expenditure equations and intensity cut-points in preschoolers using activity energy expenditure and direct observation as criterion measures. Forty 4-6 year-olds (5.3±1.0 years) completed a 150-min room calorimeter protocol involving age-appropriate sedentary behaviours, light intensity physical activities and moderate-to-vigorous intensity physical activities. Activity energy expenditure and/or physical activity intensity were calculated using Actical equations and cut-points by Adolph, Evenson, Pfeiffer and Puyau. Predictive validity was examined using paired sample t-tests. Classification accuracy was evaluated using weighted kappas, sensitivity, specificity, and area under the receiver operating and ≥ 287 counts15s -1 when classifying sedentary behaviour, light intensity physical activity and moderate-to-vigorous intensity physical activity, respectively, is recommended.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Data Reductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Evaluation of Actical equations and thresholds to predict physical activity intensity in young children

Janssen

Cliff

Reilly

et al. 2014

Journal of Sports Sciences

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Swimming and bone: Is low bone mass due to hypogravity alone or does other physical activity influence it?

et al. 2015

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A comparison of energy expenditure estimates from the Actiheart and Actical physical activity monitors during low intensity activities, walking, and jogging

et al. 2010

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Combining accelerometry with heart rate monitoring has been suggested to improve energy estimates, however, it remains unclear whether the single, currently existing commercially available device combining these data streams (Actiheart) provides improved energy estimates compared to simpler and less expensive accelerometry-only devices. The purpose of this study was to compare the validity of the heart rate (HR), accelerometry (ACC), and combined ACC/HR estimates of the Actiheart to the ACC estimates of the Actical during low and moderate intensity activities. Twenty-seven participants (mean age 26.3 ± 7.3) wore an Actical, Actiheart and indirect calorimeter (K4b(2)) while performing card playing, sweeping, lifting weights, walking and jogging activities. All estimates tended to underestimate energy, sometimes by substantial amounts. Viewed across all activities studied, there was no significant difference in the ability of the waist-mounted Actical and torso-mounted Actiheart (ACC, HR, ACC/HR) estimates to predict energy expenditure. However, the Actiheart provided significantly better estimates than the Actical for the activities in which acceleration of the pelvis is not closely related to energy expenditure (card playing, sweeping, lifting weights) and the Actical provided significantly better estimates for level walking and level jogging. Similar to a previous study, the ACC component of the Actiheart was found to be the weakest predictor of energy suggesting it may be responsible for the failure of the combined ACC/HR estimate to equal or better the estimates derived solely from a waist mounted ACC device.

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Validation and Calibration of the Actical Accelerometer in Preschool Children

Abstract: The Actical accelerometer is a valid tool for measuring PA in young children.

Cited by 176 publications

References 15 publications

Evaluation of Actical equations and thresholds to predict physical activity intensity in young children

Evaluation of Actical equations and thresholds to predict physical activity intensity in young children

Swimming and bone: Is low bone mass due to hypogravity alone or does other physical activity influence it?

A comparison of energy expenditure estimates from the Actiheart and Actical physical activity monitors during low intensity activities, walking, and jogging

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