Establishing school day pedometer step count cut-points using ROC curves in low-income children |
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| Institution: | 1. Department of Exercise and Sport Science, University of Utah, 250 S. 1850 E. Rm 200, Salt Lake City, UT 84112, USA;2. Department of Kinesiology and Sports Sciences, University of Nebraska Kearney, Kearney, 905 W. 25th St. Kearney, NE 68849, USA;1. The John W. Duckett Center for Pediatric Urology, Children''s Hospital of Philadelphia, The Perelman School of Medicine, University of Pennsylvania, United States;2. The Department of Anethesiology and Critical Care Medicine, Children''s Hospital of Philadelphia, The Perelman School of Medicine, University of Pennsylvania, United States;3. The Proteomics Core Laboratory, Children''s Hospital of Philadelphia, The Perelman School of Medicine, University of Pennsylvania, United States;1. Department of Radiology, Boston University School of Medicine, Boston, MA 02118, USA;2. Department of Radiology, Masschusetts General Hospital, Boston, MA 02118, USA;3. Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA 02118, USA;1. Turku School of Economics, Labour Institute for Economic Research and IZA, Pitkänsillanranta 3A, FI-00530 Helsinki, Finland;2. University of Jyväskylä, School of Business and Economics, Jyväskylä, Finland;3. Labour Institute for Economic Research, Helsinki, Finland |
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| Abstract: | Previous research has not established pedometer step count cut-points that discriminate children that meet school day physical activity recommendations using a tri-axial ActiGraph accelerometer criterion. The purpose of this study was to determine step count cut-points that associate with 30 min of school day moderate-to-vigorous physical activity (MVPA) in school-aged children. Participants included 1053 school-aged children (mean age = 8.4 ± 1.8 years) recruited from three low-income schools from the state of Utah in the U.S. Physical activity was assessed using Yamax DigiWalker CW600 pedometers and ActiGraph wGT3X-BT triaxial accelerometers that were concurrently worn during school hours. Data were collected at each school during the 2014–2015 school year. Receiver operating characteristic (ROC) curves were used to determine pedometer step count cut-points that associated with at least 30 min of MVPA during school hours. Cut-points were determined using the maximum Youden's J statistic (J max). For the total sample, the area-under-the-curve (AUC) was 0.77 (p < 0.001) with a pedometer cut-point of 5505 steps (J max = 0.46, Sensitivity = 63%, Specificity = 84%; Accuracy = 76%). Step counts showed greater diagnostic ability in girls (AUC = 0.81, p < 0.001; Cut-point = 5306 steps; Accuracy = 78.8%) compared to boys (AUC = 0.72, p < 0.01; Cut-point = 5786 steps; Accuracy = 71.4%). Pedometer step counts showed good diagnostic ability in girls and fair diagnostic ability in boys for discriminating children that met at least 30 min of MVPA during school hours. |
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