Evidence map›Paper›PMID 36711436›Full record

ArticleTranslational journal of the American College of Sports Medicine2022

Systematic Review of Fitbit Charge 2 Validation Studies for Exercise Tracking.

Crista Irwin, Rebecca Gary

Abstract read
In one paragraph

Article in Translational journal of the American College of Sports Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Crista IrwinNell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA.
Rebecca GaryNell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA.

Funding

Training in Interventions to Improve Outcomes in Chronic ConditionsT32NR012715 · NINR · EMORY UNIVERSITY · PI GARY, REBECCA A, SONG, MI-KYUNG · 2012 to 2022
$3.2M
Healing Hearts, Mending Minds in Older Persons with HIVR01NR014973 · NINR · EMORY UNIVERSITY · PI GARY, REBECCA A, WALDROP, DRENNA · 2015 to 2018
$2.5M
NINR NIH HHS R01 NR014973NINR NIH HHS T32 NR012715
6 · The paper itself

Abstract

Context: There are research-grade devices that have been validated to measure either heart rate (HR) by electrocardiography (ECG) with a Polar chest strap, or step count with ACTiGraph accelerometer. However, wearable activity trackers that measure HR and steps concurrently have been tested against research-grade accelerometers and HR monitors with conflicting results. This review examines validation studies of the Fitbit Charge 2 (FBC2) for accuracy in measuring HR and step count and evaluates the device's reliability for use by researchers and clinicians. Design: This registered review was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The robvis (risk-of-bias visualization) tool was used to assess the strength of each considered article. Eligibility Criteria: Eligible articles published between 2018 and 2019 were identified using PubMed, CINHAL, Embase, Cochran, and World of Science databases and hand-searches. All articles were HR and/or step count validation studies for the FBC2 in adult ambulatory populations. Study Selection: Eight articles were examined in accordance with the eligibility criteria alignment and agreement among the authors and research librarian. Main Outcome Measures: Concordance correlation coefficients (CCC) were used to measure agreement between the tracker and criterion devices. Mean absolute percent error (MAPE) was used to average the individual absolute percent errors. Results: Studies that measured CCC found agreement between the FBC2 and criterion devices ranged between 26% and 92% for HR monitoring, decreasing in accuracy as exercise intensity increased. Inversely, CCC increased from 38% to 99% for step count when exercise intensity increased. HR error between MAPE was 9.21% to 68% and showed more error as exercise intensity increased. Step measurement error MAPE was 12% for healthy persons aged 24-72 years but was reported at 46% in an older population with heart failure. Conclusions: Relative agreement with criterion and low-to-moderate MAPE were consistent in most studies reviewed and support validation of the FBC2 to accurately measure HR at low or moderate exercise intensities. However, more investigation controlling testing and measurement congruency is needed to validate step capabilities. The literature supports the validity of the FBC2 to accurately monitor HR, but for step count is inconclusive so the device may not be suitable for recommended use in all populations.

Indexed as

exercise trackerFitbit Charge 2heart ratestep count

Identifiers

PMID36711436
PMCPMC9881599

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.