Aims: Activity trackers for clinical trials and remote monitoring are appealing as they provide objective data outside of the clinic setting. Algorithms determine physical activity intensity and count steps. Multiple studies show physical inactivity in pulmonary arterial hypertension (PAH). There are no studies comparing different activity trackers worn on different parts of the body in PAH. We had patients with PAH simultaneously wear two different accelerometers, compared measures between the two devices, and correlated the measures with standard clinical metrics in PAH.
Methods And Results: This was a single-centre, prospective observational study. Daily physical activity and daily total steps were measured using Actigraph GT9X Link and MC10 Biostamp nPoint for 5-10 days. Actigraph was worn on the non-dominant hand and the MC10 Biostamp nPoint was worn on the chest and leg with disposable adhesives. Twenty-two participants wore both accelerometers >12 h/day for an average 7.8 days. The average activity time measured by Actigraph was significantly higher than that measured by MC10 (251 ± 25 min vs. 113 ± 18 min, = 0.0001). Actigraph's algorithm reported more time in light activity than moderate (190 ± 62 min vs. 60 ± 56 min, = 0.0001). REVEAL 2.0 scores correlated highly with activity time measured using either device. Invasively measured haemodynamics within 7 days did not correlate with activity time or daily steps.
Conclusion: Different activity trackers yield discordant results in PAH patients. Further studies are needed in determining the best device, optimal wear time, and different thresholds for activities in chronic diseases.
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http://dx.doi.org/10.1093/ehjdh/ztab095 | DOI Listing |
Sci Rep
December 2024
Department of Electrical and Electronics Engineering, Izmir Democracy University, 35140, Izmir, Turkey.
The rising popularity of wearable activity tracking devices can be attributed to their capacity for gathering and analysing ambient data, which finds utility across numerous applications. In this study, a wearable activity tracking device is developed using the BBC micro:bit development board to identify basic bachata dance steps. Initially, a pair of smart ankle bracelets is crafted, employing the BBC micro:bit board equipped with a built-in accelerometer sensor and a Bluetooth module for transmitting accelerometer data to smartphones.
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.
J Neuroeng Rehabil
December 2024
Rehabilitation Engineering Laboratory, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
Background: Upper limb impairment post-stroke often leads to a predominant use of the less affected arm and consequent learned disuse of the affected side, hindering upper limb outcome. Wearable sensors such as accelerometers, combined with smart reminders (i.e.
View Article and Find Full Text PDFAppl Psychol Health Well Being
February 2025
Department of Psychology, Rowan University, New Jersey, USA.
Reactivity to physical activity (PA) measurement may result from the introduction of a measurement device, researcher observation, or both. Accessing data from prior to study enrollment afforded the rare opportunity to compare behavior during versus prior to participation. This study introduced researcher observation among adults who owned their own PA monitoring device, to test whether measurement reactivity can also be observed in experienced PA trackers, by comparing their data from before versus after the introduction of observation.
View Article and Find Full Text PDFInt J Behav Nutr Phys Act
December 2024
Appleton Institute, School of Health, Medical and Applied Sciences, Central Queensland University, Building 7, Bruce Highway, Rockhampton, QLD, 4701, Australia.
Background: Physical activity is important for healthy ageing, however most older adults are inactive. Numerous reviews with a range of inclusion criteria have been conducted on digital interventions to promote physical activity in older adults, and a synthesis of these is needed. Therefore, the objective of this study is to conduct an umbrella review and meta-meta-analysis on the effectiveness of digital interventions to promote physical activity in older adults.
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