, researchers still face challenges of providing a convenient and comfortable experience for participants when wearing the accelerometers for several days ( Kirby et al., 2012 ; Pedišić & Bauman, 2015 ), which may affect the adherence with wear time criteria and the accuracy of movement behavior estimates
Search Results
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
Using Video Cameras as a Research Tool in Public Spaces: Addressing Ethical and Information Governance Challenges Under Data Protection Legislation
Jack S. Benton, James Evans, Miranda Mourby, Mark J. Elliot, Jamie Anderson, J. Aaron Hipp, and David P. French
sciences. This paper is informed by the experiences of four of the authors in obtaining ethical and regulatory approval for three studies between 2019 and 2022, which involved using video cameras as an observation tool to assess behaviors related to well-being in public spaces in Manchester, United Kingdom
Determinants of Consent in the SHARE Accelerometer Study
Fabio Franzese, Francesca Schrank, and Michael Bergmann
relevant factors for willingness to share accelerometer data is on respondent characteristics. Similar to Struminskaya et al. ( 2020 ), these include not only sociodemographic characteristics but also privacy concerns, familiarity with the device, and prior experience. As Struminskaya’s model is intended
Let us Dance Around the World! Toward More Diversity, Equity, and Inclusion in Research
Mai ChinAPaw and Manou Anselma
instance by adding equity and belonging. Diversity can be described as that among everyone invited to the party, there is representation across many dimensions of diversity and lived experience. Inclusion is not only being asked to dance, but it also entails that everyone had the opportunity to be part of
Examining the Agreement Between the activPAL micro4 and ActiGraph GT9X Accelerometers on Daily Movement Behaviors Among Adults With Total Knee Replacement
Katherine E. DeVivo, Chih-Hsiang Yang, and Christine A. Pellegrini
month of surgery ( Luna et al., 2019 ). While activity starts to increase after month 1, by 6 months, <10% of adults with knee replacement achieve activity levels recommended by the Federal Physical Activity Guidelines ( Harding et al., 2014 ). Adults with knee replacement continue to experience
Integrity and Performance of Four Tape Solutions for Mounting Accelerometry Devices: Lolland-Falster Health Study
Therese Lockenwitz Petersen, Jan C. Brønd, Eva Benfeldt, and Randi Jepsen
and Figure 2 ) were based on experience shared by other researchers. Both included fixation of the device onto the skin using stretch tape and complete coverage of the device and the surrounding skin using medical tape. The attachment protocol used in Protocol 1 was later published by Schneller et
Measurement Reactivity in Ecological Momentary Assessment Studies of Movement-Related Behaviors
Jaclyn P. Maher, Danielle Arigo, Kiri Baga, Gabrielle M. Salvatore, Kristen Pasko, Brynn L. Hudgins, and Laura M. König
’s behaviors, cognitions, or beliefs ( Barta et al., 2012 ). Individuals may experience self-consciousness or evaluation anxiety, present themselves in a favorable light or in line with a positive self-image, or increase effort necessary to reflect on and rate constructs of interest, ultimately resulting in
Impact of COVID-19 Pandemic on Physical Activity, Pain, Mood, and Sleep in Adults With Knee Osteoarthritis
Michael J. Rose, Michael P. LaValley, S. Reza Jafarzadeh, Kerry E. Costello, Nirali Shah, Soyoung Lee, Belinda Borrelli, Stephen P. Messier, Tuhina Neogi, and Deepak Kumar
small sample of data, wearable sensor and self-reported data could be used to identify individuals experiencing worse symptoms during the pandemic, or other periods of significant lifestyle changes, allowing appropriate health-care services to target these individuals. Our findings add to prior
agcounts: An R Package to Calculate ActiGraph Activity Counts From Portable Accelerometers
Brian C. Helsel, Paul R. Hibbing, Robert N. Montgomery, Eric D. Vidoni, Lauren T. Ptomey, Jonathan Clutton, and Richard A. Washburn
individuals without programming experience. In this technical note, we provide an inside look at agcounts , and we also discuss its prospective impacts on collaborative open-source software development in physical behavior research. Overview of the ActiGraph Count Algorithm Neishabouri et al. ( 2022
Estimating Running Speed From Wrist- or Waist-Worn Wearable Accelerometer Data: A Machine Learning Approach
John J. Davis IV, Blaise E. Oeding, and Allison H. Gruber
restricted maximum likelihood ( Wood, 2011 ). All statistical analyses were conducted in R (version 4.1.0). We conducted sensitivity analyses to determine whether our top-performing model’s accuracy was biased by either height or running experience, as these factors could affect the time and frequency domain
