Validation of the Fitbit One, Garmin Vivofit and Jawbone UP activity tracker in estimation of energy expenditure during treadmill walking and running

Price, Kym Joanne; Bird, Stephen; Lythgo, Noel; Raj, Isaac Selva; Wong, Jason; Lynch, Chris

doi:10.1080/03091902.2016.1253795

Cited by 83 publications

(65 citation statements)

References 17 publications

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“…[17][18][19]20,21 Although an overall clear picture of physical activity in children with CHD is lacking, the reliability, validity and objectivity of such wearables has been validated. [22][23][24] Therefore, the aim of this study was to find out how active children with various CHD are compared with healthy peers as measured in daily steps and moderate-to-vigorous physical activity (MVPA), which refers to an energy cost of ³3 metabolic equivalents, using wearables. Furthermore, subjectively estimated and objectively measured physical activity in children with CHD was compared.…”

mentioning

confidence: 99%

Children with Congenital Heart Disease Are Active but Need to Keep Moving: A Cross-Sectional Study Using Wrist-Worn Physical Activity Trackers

Brudy

Hock

Häcker

et al. 2020

The Journal of Pediatrics

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Objective To compare daily physical activity of children with congenital heart disease (CHD) with healthy peers measured using wearables bracelets in a large cohort. Additionally, subjectively estimated and objectively measured physical activity was compared. Study design From September 2017 to May 2019, 162 children (11.8 AE 3.2 years; 60 girls) with various CHD participated in a self-estimated and wearable-based physical activity assessment. Step-count and moderate-tovigorous physical activity were recorded with the Garmin vivofit jr. for 7 consecutive days and compared with a reference cohort (RC) of 96 healthy children (10.9 AE 3.8 years; 49 girls). Results Children with CHD were active and 123 (75.9%) achieved 60 minutes physical activity on a weekly average according to the World Health Organization criteria as 81 (84.3%) of the healthy peers did (P = .217). After correction for age, sex, and seasonal effects, only slightly lower step count (CHD: 10 206 AE 3178 steps vs RC: 11 142 AE 3136 steps; P = .040) but no lower moderate-to-vigorous physical activity (CHD: 80.5 AE 25.6 minutes/ day vs RC: 81.5 AE 25.3 minutes/day; P = .767) occurred comparing CHD with RC. In children with CHD higher age (P = .004), overweight or obesity (P = .016), complex severity (P = .046), and total cavopulmonary connection (P = .027) were associated with not meeting World Health Organization criteria. Subjective estimation of daily moderate-to-vigorous physical activity was fairly correct in half of all children with CHD. Conclusions Even though the majority is sufficiently active, physical activity needs to be promoted in overweight or obese patients, patients with complex CHD severity, and in particular in those with total cavopulmonary connection.

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mentioning

confidence: 99%

Children with Congenital Heart Disease Are Active but Need to Keep Moving: A Cross-Sectional Study Using Wrist-Worn Physical Activity Trackers

Brudy

Hock

Häcker

et al. 2020

The Journal of Pediatrics

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“…It is well known from laboratory studies with triathletes that heart rate and energy expenditure is higher in running compared to cycling [43]. While the measurement of heart rate with a wrist-worn device might be reliable [44], the reported energy expenditure from these devices should be interpreted with caution [45], given their potential bias and error [46], the current wrist-worn activity trackers are most likely not accurate enough [26]. However, these devices might be suitable for the use in interventions of behavior change as they provide feedback to user on trends in energy expenditure [46].…”

Section: The Aspect Of Heart Rate and Energy Expenditurementioning

confidence: 99%

“…While the measurement of heart rate with a wrist-worn device might be reliable [44], the reported energy expenditure from these devices should be interpreted with caution [45], given their potential bias and error [46], the current wrist-worn activity trackers are most likely not accurate enough [26]. However, these devices might be suitable for the use in interventions of behavior change as they provide feedback to user on trends in energy expenditure [46]. Energy expenditure reported by wrist-worn devices differs between different sports disciplines (e.g., walking and running) with a general increase as exercise intensity increased [46].…”

Section: The Aspect Of Heart Rate and Energy Expenditurementioning

confidence: 99%

“…However, these devices might be suitable for the use in interventions of behavior change as they provide feedback to user on trends in energy expenditure [46]. Energy expenditure reported by wrist-worn devices differs between different sports disciplines (e.g., walking and running) with a general increase as exercise intensity increased [46]. Interestingly, heart race correlated with cycling and running performance, but not the measured energy expenditure with the wrist-worn device.…”

Section: The Aspect Of Heart Rate and Energy Expenditurementioning

confidence: 99%

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Self-Selected Pacing During a World Record Attempt in 40 Ironman-Distance Triathlons in 40 Days

Sousa

Pereira

Rosemann

et al. 2020

IJERPH

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The present case study analyzed performance, pacing, and potential predictors in a self-paced world record attempt of a professional triathlete to finish 40 Ironman-distance triathlons within 40 days. Split times (i.e., swimming, cycling, running) and overall times, body weight, daily highest temperature, wind speed, energy expenditure, mean heart rate, and sleeping time were recorded. Non-linear regressions were applied to investigate changes in split and overall times across days. Multivariate regression analyses were performed to test which variables showed the greatest influence on the dependent variables cycling, running and overall time. The athlete completed the 40×Ironman distances in a total time of 444:22 h:min. He spent 50:26 h:min in swimming, 245:37 h:min in cycling, 137:17 h:min in running and 11:02 h:min in transition times. Swimming and cycling times became slower across days, whereas running times got faster until the 20th day and, thereafter, became slower until the 40th day. Overall times got slower until the 15th day, became faster to 31st, and started then to get slower until the end. Wind speed, previous day’s race time and average heart race during cycling were significant independent variables influencing cycling time. Body weight and average heart rate during running were significant independent variables influencing running performance. Cycling performance, running performance, and body weight were significant independent variables influencing overall time. In summary, running time was influenced by body weight, cycling by wind speed, and overall time by both running and cycling performances.

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“…Additionally, the majority of mHealth systems are not medical products that are clinically evaluated. Therefore, validity and reliability of these systems cannot be assumed [17-20]. …”

Section: Introductionmentioning

confidence: 99%

User Interest in Digital Health Technologies to Encourage Physical Activity: Results of a Survey in Students and Staff of a German University

Salzwedel

Rabe

Zahn³

et al. 2017

JMIR Mhealth Uhealth

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BackgroundAlthough the benefits for health of physical activity (PA) are well documented, the majority of the population is unable to implement present recommendations into daily routine. Mobile health (mHealth) apps could help increase the level of PA. However, this is contingent on the interest of potential users.ObjectiveThe aim of this study was the explorative, nuanced determination of the interest in mHealth apps with respect to PA among students and staff of a university.MethodsWe conducted a Web-based survey from June to July 2015 in which students and employees from the University of Potsdam were asked about their activity level, interest in mHealth fitness apps, chronic diseases, and sociodemographic parameters.ResultsA total of 1217 students (67.30%, 819/1217; female; 26.0 years [SD 4.9]) and 485 employees (67.5%, 327/485; female; 42.7 years [SD 11.7]) participated in the survey. The recommendation for PA (3 times per week) was not met by 70.1% (340/485) of employees and 52.67% (641/1217) of students. Within these groups, 53.2% (341/641 students) and 44.2% (150/340 employees)—independent of age, sex, body mass index (BMI), and level of education or professional qualification—indicated an interest in mHealth fitness apps.ConclusionsEven in a younger, highly educated population, the majority of respondents reported an insufficient level of PA. About half of them indicated their interest in training support. This suggests that the use of personalized mobile fitness apps may become increasingly significant for a positive change of lifestyle.

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Validation of the Fitbit One, Garmin Vivofit and Jawbone UP activity tracker in estimation of energy expenditure during treadmill walking and running

Cited by 83 publications

References 17 publications

Children with Congenital Heart Disease Are Active but Need to Keep Moving: A Cross-Sectional Study Using Wrist-Worn Physical Activity Trackers

Children with Congenital Heart Disease Are Active but Need to Keep Moving: A Cross-Sectional Study Using Wrist-Worn Physical Activity Trackers

Self-Selected Pacing During a World Record Attempt in 40 Ironman-Distance Triathlons in 40 Days

User Interest in Digital Health Technologies to Encourage Physical Activity: Results of a Survey in Students and Staff of a German University

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