Classification of physical activity cut-points and the estimation of energy expenditure during walking using the GT3X+ accelerometer in overweight and obese adults

Christopher Howe, Hannah Moir, Chris Easton

Research output: Contribution to journalArticle

2 Citations (Scopus)
139 Downloads (Pure)

Abstract

This study establishes tri-axial activity count (AC) cut-points for the GT3X+ accelerometer to classify physical activity intensity in overweight and obese adults. Further, we examined the accuracy of established and novel energy expenditure (EE) prediction equations based on AC and other metrics. Part 1: Twenty overweight or obese adults completed a 30 minute incremental treadmill walking protocol. Heart rate (HR), EE, and AC were measured using the GT3X+ accelerometer. Part 2: Ten overweight and obese adults conducted a self-paced external walk during which EE, AC, and HR were measured. Established equations (Freedson et al., 1998; Sasaki et al., 2011) overestimated EE by 40% and 31%, respectively (p < .01). Novel gender-specific prediction equations provided good estimates of EE during treadmill and outdoor walking (standard error of the estimate = .91 and .65, respectively). We propose new cut-points and prediction equations to estimate EE using the GT3X+ tri-axial accelerometer in overweight and obese adults.
Original languageEnglish
Pages (from-to)127-133
JournalMeasurement in Physical Education and Exercise Science
Volume21
Issue number3
Early online date1 Feb 2017
DOIs
Publication statusPublished - 2017

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  • Activities

    • 1 Invited talk

    Measuring Physical Activity: Challenges, Pitfalls, and Opportunities

    Chris Easton (Speaker)

    2015

    Activity: Talk or presentationInvited talk

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