challenges associated with data analysis and quantification. Exploring the relationship between exercise TL and the development of clinical symptoms not only requires precise evaluation of symptoms but also the accurate, valid, and reproducible determination of accumulated TL over a given period ( van Erp et
Search Results
Semiautomatic Training Load Determination in Endurance Athletes
Christophe Dausin, Sergio Ruiz-Carmona, Ruben De Bosscher, Kristel Janssens, Lieven Herbots, Hein Heidbuchel, Peter Hespel, Véronique Cornelissen, Rik Willems, André La Gerche, Guido Claessen, and on behalf of the Pro@Heart Consortium*
Erratum. Semiautomatic Training Load Determination in Endurance Athletes
Journal for the Measurement of Physical Behaviour
TO OUR READERS: A change was made to the following article after its initial publication online and in print: Dausin, C., Ruiz-Carmona, S., De Bosscher, R., et al. Semiautomatic training load determination in endurance athletes. Journal for the Measurement of Physical Behaviour . 2023
Simultaneous Validation of Count-to-Activity Thresholds for Five Commonly Used Activity Monitors in Adolescent Research: A Step Toward Data Harmonization
Gráinne Hayes, Kieran Dowd, Ciaran MacDonncha, and Alan Donnely
(using the same validation protocols and analysis methodologies) five activity monitors for the determination of LIPA, MPA, and VPA in an adolescent population. The developed count-to-activity thresholds for all devices demonstrated high levels of sensitivity and specificity for the determination of 1
Understanding Physical Behaviors During Periods of Accelerometer Wear and Nonwear in College Students
Alexander H.K. Montoye, Kimberly A. Clevenger, Benjamin D. Boudreaux, and Michael D. Schmidt
algorithm with vector magnitude counts for nonwear determination. (b) Data using Choi algorithm with vector magnitude counts for nonwear determination. Data comparing daily steps and waking time spent in each physical behavior reported by the activPAL for the full waking day versus only times the ActiGraph
Comparison of the activPAL CREA and VANE Algorithms for Characterization of Posture and Activity in Free-Living Adults
Alexander H.K. Montoye, Joseph D. Vondrasek, Sylvia E. Neph, Neil Basu, Lorna Paul, Eva-Maria Bachmair, Kristian Stefanov, and Stuart R. Gray
determination of nonwear; splitting of stepping into cycling and noncycling stepping; and parsing of sitting into sitting, seated transport, and both primary (nighttime) and secondary (daytime) lying down. This new algorithm advances the ability to understand the health implications of posture, activity, and
Evaluation of Two Thigh-Worn Accelerometer Brands in Laboratory and Free-Living Settings
Alexander H.K. Montoye, Olivia Coolman, Amberly Keyes, Megan Ready, Jaedyn Shelton, Ethan Willett, and Brian C. Rider
as above), Pearson correlations, and equivalence testing to 5% and 10% thresholds were used to compare sedentary time, stepping, standing, cycling, and nonwear between monitor brands. Results Analysis 1: In-Laboratory Analysis for Fibion Accuracy Accuracy for determination of each activity in the
Shuteye Time Compared With Bedtime: Misclassification of Sleep in Adolescent Females
Jillian J. Haszard, Tessa Scott, Claire Smith, and Meredith C. Peddie
between bedtime and shuteye time that has implications on current and past research, especially where bedtime is used in the determination of sleep duration. A further limitation is that hip-worn accelerometry was used along with the Sadeh algorithm to determine sleep duration, which has not been
Comparability of 24-hr Activity Cycle Outputs From ActiGraph Counts Generated in ActiLife and RStudio
Alexander H.K. Montoye, Kimberly A. Clevenger, Benjamin D. Boudreaux, and Michael D. Schmidt
on health ( Rollo et al., 2020 ). Thus, measuring these behaviors is important as it allows for determination of adherence to behavioral recommendations, comparisons across groups, and changes over time. Accelerometer-based wearable sensors (hereafter referred to as accelerometers) have seen
Fast and Robust Algorithm for Detecting Body Posture Using Wrist-Worn Accelerometers
Marcin Straczkiewicz, Nancy W. Glynn, Vadim Zipunnikov, and Jaroslaw Harezlak
). Therefore, the accurate determination of SB needs to involve not only the recognition of low activity levels or no movement, but also the correct assessment of body position. To date, the majority of the methods used for this task have investigated body posture indirectly, primarily focusing on the correct
Calibrating Physical Activity and Sedentary Behavior for Hip-Worn Accelerometry in Older Women With Two Epoch Lengths: The Women’s Health Initiative Objective Physical Activity and Cardiovascular Health Calibration Study
Kelly R. Evenson, Fang Wen, Christopher C. Moore, Michael J. LaMonte, I-Min Lee, Andrea Z. LaCroix, and Chongzhi Di
-Medeiros , F. , Cardon , G. , Torres-Luque , G. , Bailon , R. , Bergmeir , C. , ... Garatachea , N. ( 2013 ). Actigraph GT3X: Validation and determination of physical activity intensity cut points . International Journal of Sports Medicine, 34 ( 11 ), 975 – 982 . https://doi.org/10.1055/s-0033
