Preliminary Investigations of the Validity and Interinstrument Reliability for Classification of Accelerometer Physical Activity Cut-Points Against Indirect Caliometry in Healthy Adults

Brid McDevitt, James Connolly, Damien Duddy, Ronan Doherty, Joan Condell

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Wrist and waist-worn accelerometers are frequently used in human participant studies to quantify physical activity; however, cut-points to process raw accelerometry data into activity intensity categories require validation. This study aimed to investigate wrist and waist-based cut-points for sedentary behavior, light, moderate and vigorous intensity physical activity in healthy adults for three research-grade wearable sensors. Healthy adults (n=30) completed a six-phase treadmill protocol (0.0, 2.4, 5.6, 6.4, 7.2 and 8.0 km/h) while wearing GENEActiv, ActiGraph wGT3X-BT and Verisense sensors simultaneously on the waist and nondominant wrist. Metabolic equivalent (MET) levels were assessed by energy expenditure derived indirect calorimetry. Correlations between accelerometer values and METs were generated along with Receiver operating characteristics (ROC) curves to define accelerometer values maximizing sensitivity and specificity for classification of sedentary behavior (≤1.5 METs) and moderate to vigorous activity (>6 METs). For all devices, correlations ranged from r=0.91−0.93 for wrist placement and r=0.96−0.97 for waist placements, demonstrating excellent correlations against METs. The area under the ROC curves were investigated to discriminate sedentary activity, with values ranging from 0.844-0.896 for wrist placements and 0.699-0.923 for waist placements, and moderate to vigorous activity ranging from 0.991-0.993 for wrist placements and 0.989-0.993 for waist placements (95% CI, P<0.001). Further analyses are required before novel cut-points can be generated for each wearable device; however, the initial findings and ROC curves show promising correlations.
Original languageEnglish
Title of host publication2022 33rd Irish Signals and Systems Conference (ISSC)
PublisherIEEE Control Society
ISBN (Electronic)978-1-6654-5227-4
ISBN (Print)978-1-6654-5228-1
DOIs
Publication statusPublished - 19 Jul 2022
Event2022 33rd Irish Signals and Systems Conference (ISSC) - Cork, Ireland
Duration: 9 Jun 202210 Jun 2022

Publication series

Name2022 33rd Irish Signals and Systems Conference (ISSC)
PublisherIEEE Control Society

Conference

Conference2022 33rd Irish Signals and Systems Conference (ISSC)
Abbreviated titleISSC
Country/TerritoryIreland
CityCork
Period9/06/2210/06/22

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