Cross-validation of waist-worn GENEA accelerometer cut-points

The purpose of this study was to determine the classification accuracy of the waist gravity estimator of normal everyday activity (GENEA) cut-points developed by Esliger et al. for predicting intensity categories across a range of lifestyle activities. Each participant performed one of two routines,...

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Bibliographic Details
Published inMedicine and science in sports and exercise Vol. 46; no. 9; p. 1825
Main Authors Welch, Whitney A, Bassett, David R, Freedson, Patty S, John, Dinesh, Steeves, Jeremy A, Conger, Scott A, Ceaser, Tyrone G, Howe, Cheryl A, Sasaki, Jeffer E
Format Journal Article
LanguageEnglish
Published United States 01.09.2014
Subjects
Accelerometry - instrumentation
Accelerometry - methods
Activities of Daily Living
Adult
Basketball - physiology
Bicycling - physiology
Female
Humans
Male
Middle Aged
Monitoring, Physiologic
Oxygen Consumption
Physical Exertion
Predictive Value of Tests
Sports - physiology
Tennis - physiology
Walking - physiology
Wrist
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Summary:The purpose of this study was to determine the classification accuracy of the waist gravity estimator of normal everyday activity (GENEA) cut-points developed by Esliger et al. for predicting intensity categories across a range of lifestyle activities. Each participant performed one of two routines, consisting of seven lifestyle activities (home/office, ambulatory, and sport). The GENEA was worn on the right waist, and oxygen uptake was continuously measured using the Oxycon mobile. A one-way chi-squared test was used to determine the classification accuracy of the GENEA cut-points. Cross-tabulation tables provided information on under- and overestimations, and sensitivity and specificity analyses of the waist cut-points were also performed. Spearman rank order correlation for the GENEA gravity-subtracted signal vector magnitude and Oxycon mobile MET values was 0.73. For all activities combined, the GENEA accurately predicted intensity classification 55.3% of the time, and it increased to 58.3% when stationary cycling was removed from the analysis. The sensitivity of the cut-points for the four intensity categories ranged from 0.244 to 0.958, and the specificity ranged from 0.576 to 0.943. In this cross-validation study, the proposed GENEA cut-points had a low overall accuracy rate for classifying intensity (55.3%) when engaging in 14 different lifestyle activities.
ISSN:1530-0315
DOI:10.1249/MSS.0000000000000283