Abstract
BackgroundConsumer-wearable activity trackers are electronic devices used for monitoring fitness- and other health-related metrics. The purpose of this systematic review was to summarize the evidence for validity and reliability of popular consumer-wearable activity trackers (Fitbit and Jawbone) and their ability to estimate steps, distance, physical activity, energy expenditure, and sleep.MethodsSearches included only full-length English language studies published in PubMed, Embase, SPORTDiscus, and Google Scholar through July 31, 2015. Two people reviewed and abstracted each included study.ResultsIn total, 22 studies were included in the review (20 on adults, 2 on youth). For laboratory-based studies using step counting or accelerometer steps, the correlation with tracker-assessed steps was high for both Fitbit and Jawbone (Pearson or intraclass correlation coefficients (CC) > =0.80). Only one study assessed distance for the Fitbit, finding an over-estimate at slower speeds and under-estimate at faster speeds. Two field-based studies compared accelerometry-assessed physical activity to the trackers, with one study finding higher correlation (Spearman CC 0.86, Fitbit) while another study found a wide range in correlation (intraclass CC 0.36–0.70, Fitbit and Jawbone). Using several different comparison measures (indirect and direct calorimetry, accelerometry, self-report), energy expenditure was more often under-estimated by either tracker. Total sleep time and sleep efficiency were over-estimated and wake after sleep onset was under-estimated comparing metrics from polysomnography to either tracker using a normal mode setting. No studies of intradevice reliability were found. Interdevice reliability was reported on seven studies using the Fitbit, but none for the Jawbone. Walking- and running-based Fitbit trials indicated consistently high interdevice reliability for steps (Pearson and intraclass CC 0.76–1.00), distance (intraclass CC 0.90–0.99), and energy expenditure (Pearson and intraclass CC 0.71–0.97). When wearing two Fitbits while sleeping, consistency between the devices was high.ConclusionThis systematic review indicated higher validity of steps, few studies on distance and physical activity, and lower validity for energy expenditure and sleep. The evidence reviewed indicated high interdevice reliability for steps, distance, energy expenditure, and sleep for certain Fitbit models. As new activity trackers and features are introduced to the market, documentation of the measurement properties can guide their use in research settings.Electronic supplementary materialThe online version of this article (doi:10.1186/s12966-015-0314-1) contains supplementary material, which is available to authorized users.
Highlights
Consumer-wearable activity trackers are electronic devices used for monitoring fitness- and other health-related metrics
We found no studies for the Fitbit Force, Surge, Charge, or Charge HR, or the Jawbone UP MOVE, UP2, UP3, or UP4
While this review focused on steps, distance, physical activity, energy expenditure, and sleep, other features to test include number of stair flights taken, heart rate, respiration, location via global positioning system (GPS) technology, skin temperature, and ambient temperature
Summary
Consumer-wearable activity trackers are electronic devices used for monitoring fitness- and other health-related metrics. Consumer wearable devices are a popular and growing market for monitoring physical activity, sleep, and other behaviors. The devices helped to grow what is known as the Quantified Self movement, engaging those who wish to track their own personal data to optimize health behaviors [1]. A subset of consumer wearable devices used for monitoring physical activity- and fitness-related metrics are referred to as “activity trackers” or “fitness trackers” [2]. Their popularity has risen as they have become more affordable, unobtrusive, and useful in their application. The trackers enable self-monitoring towards daily or longer-term goals (such as a goal to walk a certain distance over time) and can be used to compare against one’s peers or a broader community of users, both of which are advantageous mediators to increasing walking and overall physical activity [3, 5]
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