Accuracy and precision of energy expenditure, heart rate, and steps measured by combined-sensing Fitbits against reference measures: Systematic Review and Meta-Analyses (Preprint)

2021 ◽  
Author(s):  
Guillaume Chevance ◽  
Natalie M. Golaszewski ◽  
Elizabeth Tipton ◽  
Eric B. Hekler ◽  
Matthew Buman ◽  
...  

BACKGROUND Although it is widely recognized that physical activity is an important determinant of health there is considerable challenge in assessing this complex behavior. Tools for the objective assessment of the frequency, intensity, and duration of physical activity in adults and children have largely been developed for short-term use within research or public health surveillance environments. However, recent advances in microtechnology, data processing, wireless communication, and battery capacity have resulted in the proliferation of low-cost, non-invasive, wrist-worn devices with attractive designs that can easily be used by consumers to track their physical activity over long periods of time. OBJECTIVE The purpose of the present systematic-review and meta-analyses is to examine, quantify, and report on the current state of evidence for the analytical validity of energy expenditure, heart rate, and steps measured by recent combined-sensing Fitbits. METHODS Systematic-review and Bland-Altman meta-analyses of validation studies of combined-sensing Fitbits against reference measures of energy expenditure, heart rate and steps. RESULTS A total of 52 studies were included in the systematic review. Among them, 41 were included in the meta-analyses, representing 203 individual comparisons between Fitbit devices and a criterion measure (i.e., 117 for heart rate, 49 for energy expenditure, and 37 for steps). Overall, the majority of authors of the included studies concluded that recent Fitbit models underestimate heart rate, energy expenditure, and steps compared to criterion measures. These independent conclusions aligned with the results of the pooled meta-analyses showing an average underestimation of, respectively, -2,99 bpm, -2,77 kcal/min and -3,11 steps/min of the Fitbit compared to criterion measure (results obtained after removing high risk of bias studies). CONCLUSIONS Fitbit devices are likely to underestimate heart rate, energy expenditure, and steps. The estimation of these measurements varied by quality of study, age of the participants, type of activities, and by model of Fitbit. The qualitative conclusions of the majority of studies aligned with the results of meta-analyses. Although the expected level of accuracy might vary from one context to another, this underestimation can be acceptable, on average, for steps and heart rate. Information about energy expenditure however are likely to be too unprecise.

Author(s):  
Ildiko Strehli ◽  
Ryan D. Burns ◽  
Yang Bai ◽  
Donna H. Ziegenfuss ◽  
Martin E. Block ◽  
...  

Mind–Body Physical Activity (MBPA) in educational settings is one possible preventive strategy for ameliorating stress-related physiological health parameters. The objectives of this study were to conduct a systematic review of the literature with meta-analyses on the effects of MBPA on stress-related physiological health markers in primary, secondary, and higher education students. In accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, the search for peer-reviewed articles published in English was conducted in PubMed, EBSCOhost, PsychInfo, Scopus, and Cochrane Library databases. Criteria for inclusion consisted of empirical studies targeting the student population (primary, secondary, higher education), studies examining the effectiveness of an MBPA intervention, studies including a control or comparison group (pre-test/post-test studies excluded), studies targeting physiological marker outcomes such as heart rate, blood glucose, cortisol, and blood pressure, and finally, studies examining interventions implemented within educational settings. Twenty-six interventions were eligible for the review and quantitative synthesis, which comprised a total of 1625 participants, with 783 students serving within the control/comparison group. There were statistically significant and large pooled effects for MBPA effectiveness for lowering heart rate (Hedges’ g = −1.71, 95% Confidence Interval (CI): −2.43, −0.98), cortisol (Hedges’ g = −1.32, 95% CI: −2.50, −0.16), and systolic and diastolic blood pressure (Hedges’ g = −1.04, 95% CI: −1.53, −0.58). These effects tended to be stronger in older students compared to younger students. Most analyses were characterized as having high heterogeneity and only 10 of the 26 studies were characterized as good quality (38.4%). MBPA interventions may have a positive impact on specific physiological health markers in students, especially in students within higher education. However, higher-quality research is needed in this area.


2021 ◽  
Author(s):  
Federico Germini ◽  
Noella Noronha ◽  
Victoria Borg Debono ◽  
Binu Abraham Phillip ◽  
Drashti Pete ◽  
...  

BACKGROUND Numerous wrist-wearable devices to measure physical activity are currently available, but little is known about how they compare in terms of acceptability and accuracy. OBJECTIVE We performed a systematic review of the literature to assess the acceptability (defined as the level to which a device is tolerated and used by the user) and accuracy of wrist-wearable activity trackers. METHODS We searched MEDLINE, EMBASE, the Cochrane Central Register of Controlled Trials (CENTRAL) and SPORTDiscus for studies measuring physical activity in the general population, using wrist-wearable activity trackers. We screened articles for inclusion and, for included studies, reported data on the studies’ setting and population, outcome measured, and risk of bias. RESULTS 65 articles were included in our review. Acceptability was more frequently measured through data availability and wearing time. Data availability was ≥ 75% for FitBit Charge HR, FitBit Flex 2, and Garmin Vivofit. The wearing time was 89% for both GENE Activ and Nike Fuelband. Accuracy was assessed for 14 different outcomes, that can be classified in the following categories: count of specific activities (including step counts), time spent being active, intensity of physical activity (including energy expenditure), heart rate, distance, and speed. Substantial clinical heterogeneity did not allow to perform a meta-analysis of the results. The outcomes assessed more frequently were step counts, heart rate, and energy expenditure. For step counts, Fitbit Charge (or Charge HR) had a MAPE < 25% across 20 studies. For heart rate, Apple watch had a MAPE < 10% in 2 studies. For energy expenditure, the MAPE > 30% for all the brands, showing poor accuracy across devices. CONCLUSIONS Fitbit Charge and Charge HR were consistently shown to have a good accuracy for step counts and Apple watch for measuring heart rate. None of the tested devices proved to be accurate in measuring energy expenditure. Efforts should be made to reduce the heterogeneity between studies


2020 ◽  
Author(s):  
Guillaume Chevance ◽  
Natalie Golaszewski ◽  
Elizabeth Tipton ◽  
Eric B. Hekler ◽  
Matthew Buman ◽  
...  

The purpose of the proposed systematic-review and meta-analysis is to systematically examine, quantify and report the validity of energy expenditure, intensity, heart rate, and steps measured by combined-sensing Fitbits.


BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e046035
Author(s):  
Suparee Boonmanunt ◽  
Oraluck Pattanaprateep ◽  
Boonsong Ongphiphadhanakul ◽  
Gareth McKay ◽  
John Attia ◽  
...  

IntroductionObesity and being overweight are major risk factors for metabolic syndrome and non-communicable diseases. Despite the recommendation that a healthy diet and physical activity can reduce the severity of these diseases, many fail to adhere to these measures. From a behavioural economic perspective, adherence to such measures can be encouraged through financial incentives. However, additional related behavioural economic approaches may improve the effectiveness of an incentive programme. As such, we have developed a protocol for a systematic review and network meta-analysis to summarise the current evidence from financial incentive programmes with and without behavioural economic insights for promoting healthy diet and physical activity.Methods and analysisPrevious systematic reviews, meta-analyses and individual studies were identified from Medline and Scopus in June 2020 and will be updated until December 2020. Individual studies will be selected and data extracted by two reviewers. Disagreement will be resolved by consensus or adjudicated by a third reviewer. A descriptive analysis will summarise the effectiveness of behavioural economic incentive programmes for promoting healthy diet and physical activity. Moreover, individual studies will be pooled using network meta-analyses where possible. I2 statistics and Cochran’s Q test will be used to assess heterogeneity. Risk of bias and publication bias, if appropriate, will be evaluated, as well as the overall strength of the evidence.Ethics and disseminationEthics approval for a systematic review and meta-analysis is not required. The findings will be published in a peer-reviewed journal.PROSPERO registration numberCRD42020198024.


2017 ◽  
Vol 27 (5) ◽  
pp. 467-474 ◽  
Author(s):  
Jorge Cañete García-Prieto ◽  
Vicente Martinez-Vizcaino ◽  
Antonio García-Hermoso ◽  
Mairena Sánchez-López ◽  
Natalia Arias-Palencia ◽  
...  

The aim of this study was to examine the energy expenditure (EE) measured using indirect calorimetry (IC) during playground games and to assess the validity of heart rate (HR) and accelerometry counts as indirect indicators of EE in children´s physical activity games. 32 primary school children (9.9 ± 0.6 years old, 19.8 ± 4.9 kg · m-2 BMI and 37.6 ± 7.2 ml · kg-1 · min-1 VO2max). Indirect calorimetry (IC), accelerometry and HR data were simultaneously collected for each child during a 90 min session of 30 playground games. Thirty-eight sessions were recorded in 32 different children. Each game was recorded at least in three occasions in other three children. The intersubject coefficient of variation within a game was 27% for IC, 37% for accelerometry and 13% for HR. The overall mean EE in the games was 4.2 ± 1.4 kcals · min-1 per game, totaling to 375 ± 122 kcals/per 90 min/session. The correlation coefficient between indirect calorimetry and accelerometer counts was 0.48 (p = .026) for endurance games and 0.21 (p = .574) for strength games. The correlation coefficient between indirect calorimetry and HR was 0.71 (p = .032) for endurance games and 0.48 (p = .026) for strength games. Our data indicate that both accelerometer and HR monitors are useful devices for estimating EE during endurance games, but only HR monitors estimates are accurate for endurance games.


2019 ◽  
Vol 2 (3) ◽  
pp. 166-175
Author(s):  
Kayla J. Nuss ◽  
Joseph L. Sanford ◽  
Lucas J. Archambault ◽  
Ethan J. Schlemer ◽  
Sophie Blake ◽  
...  

Background: The purpose of this study was to examine the accuracy of heart rate (HR) and energy expenditure (EE) estimated by the Apple Watch Series 1 worn both on the wrist and the upper arm. Methods: Thirty healthy, young adults (15 females) wore the two monitors while participating in a maximal exercise test. Criterion measures were obtained from the Parvo Medics TrueOne 2400 Metabolic Cart and an electrocardiograph. Results: The HR estimations of the arm-worn (AW) Apple Watch had the highest agreement with the electrocardiogram, with mean absolute percent error (MAPE) of <2.5% for the entire sample, for males, and for females, at all exercise intensities. The HR estimations of the wrist-worn Apple Watch had MAPEs ranging from 3.61% (females at very light intensity) to 14.97% (males at very vigorous intensity). When estimating EE for total exercise bout in the entire sample, the arm-worn Apple Watch overestimated EE, with a MAPE of 39.63%, whereas the wrist-worn underestimated EE, with a MAPE of 32.28%. Both the arm- and wrist-worn overestimated EE for females and underestimated EE for males. Conclusion: Wearing the Apple Watch Series 1 on the upper arm versus the wrist improves the MAPE for HR estimations, but does not improve MAPE for the EE calculations when compared to a criterion measure.


2019 ◽  
Vol 65 (2) ◽  
pp. 185-194 ◽  
Author(s):  
Joannis H. van de Kop ◽  
Willem G. van Kernebeek ◽  
Rene H.J. Otten ◽  
Huub M. Toussaint ◽  
Arnoud P. Verhoeff

2020 ◽  
Vol 273 ◽  
pp. 318-327 ◽  
Author(s):  
Gu Eon Kang ◽  
Michelle A. Patriquin ◽  
Hung Nguyen ◽  
Hyuntaek Oh ◽  
Katrina A. Rufino ◽  
...  

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