Use of fitness trackers to determine the volume of physical activity of students in secondary schools aged 15–16 years

Mandyuk, Andriy

doi:10.15391/snsv.2019-3.007

Cited by 1 publication

(1 citation statement)

References 7 publications

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“…The distribution levels over the week are somewhat contradictory, with both less [ 20 ] and more [ 23 ] reported usage on Tuesdays and both higher [ 20 ] and lower [ 21 ] amounts of usage on weekends. Besides usage, more steps could be recorded on the weekend compared to weekdays [ 20 , 42 ]. Jeong et al reported high average wear times of about 8 h per day at weekends versus 11 h per day on Mondays and Tuesdays [ 21 ].…”

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confidence: 99%

The Implication of Wearables and the Factors Affecting Their Usage among Recreationally Active People

Hendker

Jetzke

Eils

et al. 2020

IJERPH

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Regular physical activity (PA) is associated with health and well-being. Recent findings show that PA tracking using technological devices can enhance PA behavior. Consumer devices can track many different parameters affecting PA (e.g., number of steps, distance, and heart rate). However, it remains unclear what factors affect the usage of such devices. In this study, we evaluated whether there was a change in usage behavior across the first weeks of usage. Further we investigated whether external factors such as weather and day of the week influence usage behavior. Thirty nine participants received a Fitbit Charge 2 fitness tracker for a nine-week period. All participants were asked to wear the device according to their wishes. The usage time and amount of PA were assessed, and the influencing factors, such as weather conditions and day of the week, were analyzed. The results showed that usage behavior differed largely between individuals and decreased after five weeks of usage. Moreover, the steps per worn hour did not change significantly, indicating a similar amount of activity across the nine-week period when wearing the device. Further influencing factors were the day of the week (the tracker was used less on Sundays) and the temperature (usage time was lower with temperatures >25°). Tracking peoples’ activity might have the potential to evaluate different interventions to increase PA.

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