Objective: To examine the validity of the GT3X ActiGraph accelerometer and the Google Fit smartphone application in estimating stepping activity in people with chronic stroke.
Methods: Thirty-seven stroke survivors walked along a straight, 10 metre hallway over 5 min at their fastest speeds, wearing the GT3X ActiGraph accelerometer and a smartphone on their paretic lower limb. The criterion-standard measurement made was the actual number of steps, counted by a trained examiner.
Results: The mean estimated steps measured by the GT3X ActiGraph and Google Fit respectively were 276.7 ± 97.6 and 481.0 ± 119.8; that calculated from the examiner's measurements was 472.0 ± 93.9. Statistically significant associations were found between the actual steps and those estimated by the GT3X ActiGraph (r = 0.56; p < 0.001) and Google Fit (r = 0.89; p < 0.001). The Google Fit application demonstrated the highest reliability coefficient (ICC[2,1] = 0.93; p < 0.001; p = 0.37), compared to that of the GT3X ActiGraph (ICC[2,1] = 0.32; p < 0.001; p < 0.001).
Conclusions: The GT3X ActiGraph underestimated the data and may not be the most appropriate device to estimate the stepping activity of stroke patients. The findings support the validity of a smartphone application in estimating the stepping activity of individuals with stroke, when worn on the paretic side.
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http://dx.doi.org/10.1016/j.jbmt.2019.01.011 | DOI Listing |
Sleep Health
January 2025
Population Sciences, Beckman Research Institute, City of Hope, Duarte, California, USA.
Objectives: Insufficient sleep is linked to various health issues, while physical activity is a protective measure against chronic diseases. Despite the importance of sleep and physical activity for supporting public health, there remains scant research investigating daily and cumulative associations between objectively measured physical activity and sleep. Understanding the associations of physical activity and sleep behaviors over multiple days may inform the efficacy of interventions to synergistically support both behaviors.
View Article and Find Full Text PDFBMJ Open
January 2025
American Cancer Society, Atlanta, Georgia, USA.
Purpose: This paper describes the data collection and management methods for the Cancer Prevention Study-3 (CPS-3) Accelerometry Substudy, a nested cohort of device-based physical activity and sedentary time data.
Participants: US-based CPS-3 participants (initially enrolled 2006-2013) who completed the 2018 follow-up survey and had a valid email address were invited to the Accelerometry Substudy (n=109 780). Among the 23 111 participants who registered and were shipped an ActiGraph GT3X+ accelerometer, 21 219 participants returned the device with a complete wear log (91.
BMC Pediatr
December 2024
School of Physical Education, Shanghai University of Sport, 399 Changhai Road, Shanghai, 200438, P. R. China.
Background: Children with intellectual disabilities (ID) typically exhibit low levels of physical activity (PA) and delayed motor skills. Understanding the motor skill factors that influence PA participation in this population is essential for designing effective interventions. The purpose of this study was to examine the association between fundamental motor skills (FMS) and objectively measured PA among orphan children with severe ID residing in welfare institutions.
View Article and Find Full Text PDFMed Sci (Basel)
December 2024
Department of Built Environment, North Carolina A&T State University, Greensboro, NC 27411, USA.
: Environmental exposures, such as heavy metals, can significantly affect physical activity, an important determinant of health. This study explores the effect of physical activity on combined exposure to cadmium, lead, and mercury (metals), using data from the 2013-2014 National Health and Nutrition Examination Survey (NHANES). Physical activity was measured with ActiGraph GT3X+ devices worn continuously for 7 days, while blood samples were analyzed for metal content using inductively coupled plasma mass spectrometry.
View Article and Find Full Text PDFJMIR Form Res
December 2024
Department of Sports Science, College of Education, Zhejiang University, No. 866, Yuhangtang Road, Hangzhou, 310030, China, 86 18667127699.
Background: Smartwatches are increasingly popular for physical activity and health promotion. However, ongoing validation studies on commercial smartwatches are still needed to ensure their accuracy in assessing daily activity levels, which is important for both promoting activity-related health behaviors and serving research purposes.
Objective: This study aimed to evaluate the accuracy of a popular smartwatch, the Huawei Watch GT2, in measuring step count (SC), total daily activity energy expenditure (TDAEE), and total sleep time (TST) during daily activities among Chinese adults, and test whether there are population differences.
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