PA levels ( World Health Organization, 2018 ). Studies may focus on one or more parts of the day, or discrete segments, when reporting results ( Saint-Maurice et al., 2018 ). Such research can enhance our understanding of variability in PA patterns (e.g., across the school day) and our understanding
Search Results
Conceptualizing, Defining, and Measuring Before-School Physical Activity: A Review With Exploratory Analysis of Adolescent Data
James Woodforde, Sjaan Gomersall, Anna Timperio, Venurs Loh, Hannah Browning, Francisco Perales, Jo Salmon, and Michalis Stylianou
Comparison of Six Accelerometer Metrics for Assessing the Temporal Patterns of Children’s Free-Play Physical Activity
Katherine L. McKee, Karin A. Pfeiffer, Amber L. Pearson, and Kimberly A. Clevenger
benefits, only about 25% of school-aged children in the United States meet the recommendations set forth in the National Physical Activity Guidelines for Americans, which state that children aged 6 through 17 years should engage in at least 60 min/day of moderate to vigorous physical activity (MVPA
Calibration of the Online Youth Activity Profile Assessment for School-Based Applications
Gregory J. Welk, Pedro F. Saint-Maurice, Philip M. Dixon, Paul R. Hibbing, Yang Bai, Gabriella M. McLoughlin, and Michael Pereira da Silva
calibration with monitor-based methods is the youth activity profile (YAP © ; Saint-Maurice, Welk, Beyler, Bartee, & Heelan, 2014 ). The YAP was designed to facilitate evaluation of youth PA and SB for school-based applications, since this is a primary setting to reach and influence youth. Items are each
Agreement Between Different Days of activPAL and Actigraph GT3X Measurement of Sedentary Behavior and Physical Activity During the School Hours in Elementary Children
Luciana L.S. Barboza, Larissa Gandarela, Josefa Graziele S. Santana, Ellen Caroline M. Silva, Elondark S. Machado, Roberto Jerônimo S. Silva, Thayse N. Gomes, and Danilo R. Silva
in the school context. In addition, these protocols do not address research focused on specific domains of the day or contexts that do not occur in the whole week, such as children’s behavior at school. Previous studies identified the variability between and within days of device-derived activity
Validity of the Garmin Vivofit Jr. to Measure Physical Activity During a Youth After-School Program
Karissa L. Peyer and Kara C. Hamilton
’s PA levels during school, sport, or free play when parents are not present. In light of these limitations, device-based measurement of PA has become a popular approach to capturing both adult and child behaviors. Pedometers are low-cost devices that measure the number of steps taken, but cannot
Correlates of the Adherence to a 24-hr Wrist-Worn Accelerometer Protocol in a Sample of High School Students
Marcus V.V. Lopes, Bruno G.G. da Costa, Luis E.A. Malheiros, Rafael M. Costa, Ana C.C. Souza, Inacio Crochemore-Silva, and Kelly S. Silva
protocols for measuring movement behaviors, and the need to understand correlates of accelerometer compliance to prevent underrepresentation of specific subgroups, this study of high school students aimed to: (a) compare accelerometer wear time and compliance with wear time criteria between two data
Device-Based Measurement of Office-Based Physical Activity and Sedentary Time: A Systematic Review
Noah Bongers, Genevieve N. Healy, George Thomas, and Bronwyn K. Clark
, K.R. , Saxena , S. , Muir , C. , & Hillier-Brown , F.C. ( 2021 ). A systematic review of the validity, reliability, and feasibility of measurement tools used to assess the physical activity and sedentary behaviour of pre-school aged children . International Journal of Behavioral Nutrition
Calibrating the Physical Activity Vital Sign to Estimate Habitual Moderate to Vigorous Physical Activity More Accurately in Active Young Adults: A Cautionary Tale
Liam P. Pellerine, Derek S. Kimmerly, Jonathon R. Fowles, and Myles W. O’Brien
.0000000000001237 10.1249/MSS.0000000000001237 Welk , G.J. , Saint-Maurice , P.F. , Dixon , P.M. , Hibbing , P.R. , Bai , Y. , McLoughlin , G.M. , & Pereira da Silva , M. ( 2021 ). Calibration of the online youth activity profile assessment for school-based applications . Journal for the Measurement
Implications and Recommendations for Equivalence Testing in Measures of Movement Behaviors: A Scoping Review
Myles W. O’Brien
Vívofit 3 for school-based physical activity monitoring . Pediatric Exercise Science, 31 ( 1 ), 130 – 136 . https://doi.org/10.1123/pes.2018-0019 10.1123/pes.2018-0019 Tanaka , C. , Hikihara , Y. , Innoue , S. , & Tanaka , S. ( 2019 ). The choice of pedometer impacts on daily step counts in
Calibration of an Accelerometer Activity Index Among Older Women and Its Association With Cardiometabolic Risk Factors
Guangxing Wang, Sixuan Wu, Kelly R. Evenson, Ilsuk Kang, Michael J. LaMonte, John Bellettiere, I-Min Lee, Annie Green Howard, Andrea Z. LaCroix, and Chongzhi Di
/ethnicity (Black, White, or Hispanic/Latina), and educational attainment (high school equivalent or lower, some college, or college graduate). During the Long Life Study home examinations, trained study staff measured height (in meters) and weight (in kilograms) with a tape measure and calibrated scale
