, Hesels, Breitbach-Faller, Schmitz-Rode, & Disselhorst-Klug, 2010 ; Ketcheson et al., 2017 ; Smith, Vanderbilt, Applequist, & Kyvelidou, 2017 ). Other studies have used data from wearable sensors to characterize developmental trajectories of infants ( Marcroft, Khan, Embleton, Trenell, & Plötz, 2015
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Infant Leg Activity Intensity Before and After Naps
Ivan A. Trujillo-Priego, Judy Zhou, Inge F. Werner, Weiyang Deng, and Beth A. Smith
Bidirectional Day-to-Day Associations of Reported Sleep Duration With Accelerometer Measured Physical Activity and Sedentary Time Among Dutch Adolescents: An Observational Study
Nathalie Berninger, Gregory Knell, Kelley Pettee Gabriel, Guy Plasqui, Rik Crutzen, and Gill Ten Hoor
of total wear time and in relation to the other physical behaviors using a compositional data analysis approach, CoDA) among Dutch adolescents. Given the strong associations between sleep duration and the risk of obesity among adolescents, and the differing developmental stages of males and females
Body-Worn Sensors Are a Valid Alternative to Forceplates for Measuring Balance in Children
Vincent Shieh, Ashwini Sansare, Minal Jain, Thomas Bulea, Martina Mancini, and Cris Zampieri
without developmental disorders. Our sample was represented by children of both sexes within the following developmental age groups: 7–8, 9–10, 11–13, and 14–17 years old to account for neurodevelopmental postural maturational changes ( Verbecque, Vereeck, & Hallemans, 2016 ). All volunteers required
Methodology for Assessing Infant (0–2 Years) Movement Using Accelerometers: A Scoping Review
Danae Dinkel, John P. Rech, Priyanka Chaudhary, Rama Krishna Thelagothoti, Jon Youn, Hesham Ali, Michaela Schenkelberg, and Brian Knarr
., 2017 ; Carson et al., 2022 ; Timmons et al., 2012 ). Physical activity during this developmental period can be defined as any bodily movement generated by skeletal muscles that results in energy expenditure above resting levels excluding times of being held, carried, or placed in a device such as a
Association of Individual Motor Abilities and Accelerometer-Derived Physical Activity Measures in Preschool-Aged Children
Becky Breau, Berit Brandes, Marvin N. Wright, Christoph Buck, Lori Ann Vallis, and Mirko Brandes
internal structural and functional changes but is also heavily influenced by environmental factors such as physical activity (PA; Clark, 1995 ; Stodden et al., 2008 ). The complex relationship between PA and motor competency is outlined in a developmental model proposed by Stodden et al. ( 2008 ), which
Effect of Accelerometer Cut-Points on Preschoolers’ Physical Activity and Sedentary Time: A Systematic Review and Meta-Analysis
Sophie M. Phillips, Kimberly A. Clevenger, Brianne A. Bruijns, Patricia Tucker, Leigh M. Vanderloo, Aidan Loh, Manahil Naveed, and Matthew Bourke
potentially more concerning, the use of varying cut-points may lead to differential associations between estimated rates of these behaviors on health and developmental indicators of young children, which may mislead policy and guideline development (e.g., Leppänen et al., 2022 ). It is important to
Validation of Body-Worn Sensors for Gait Analysis During a 2-min Walk Test in Children
Vincent Shieh, Cris Zampieri, Ashwini Sansare, John Collins, Thomas C. Bulea, and Minal Jain
Clinical evaluation of developmental gait, previously dependent on observational analysis, now uses instrumentation for accurate measurements. Camera-based, three-dimensional motion capture systems are considered the clinical gold standard for precise gait analysis. These systems offer the ability
Fast and Robust Algorithm for Detecting Body Posture Using Wrist-Worn Accelerometers
Marcin Straczkiewicz, Nancy W. Glynn, Vadim Zipunnikov, and Jaroslaw Harezlak
contribution to the design and execution of the Developmental Epidemiologic Cohort Study (DECOS). This research was supported by Pittsburgh Claude D. Pepper Older Americans Independence Center, Research Registry, and Developmental Pilot Grant (PI: Glynn)— NIH P30 AG024826 and NIH P30 AG024827 , National
The KID Study (Kids Interacting With Dogs): Piloting a Novel Approach for Measuring Dog-Facilitated Youth Physical Activity
Colleen J. Chase, Sarah Burkart, and Katie Potter
pets during deployment . Applied Developmental Science, 18 ( 4 ), 214 – 223 . 10.1080/10888691.2014.955612 Potter , K. , & Sartore-Baldwin , M. ( 2019 ). Dogs as support and motivation for physical activity . Current Sports Medicine Reports, 18 ( 7 ), 275 – 280 . 10.1249/JSR
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
= moderate to vigorous physical activity; CI = confidence interval. Calibration Model Development Using data from the developmental group, the multiple linear regression model computed an R 2 = .035 (3.5% of variance; p = .673). PAVS (β = 0.164; p = .180), age (β = 0.912; p = .858), gender (β = 6
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