Evidence map›Paper›PMID 31107835›Full record

ArticleMedicine and science in sports and exercise2019

Validity of Cardiorespiratory Fitness Measured with Fitbit Compared to V˙O2max.

Katharine Klepin, David Wing, Michael Higgins, Jeanne Nichols, Job G Godino

Abstract readComparative StudyValidation Study
In one paragraph

Article in Medicine and science in sports and exercise, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

  1. Pooled it
  2. Accuracy of VOMayo Clinic proceedings. Digital health · 2026
    Article
  3. Article
  4. Validity of V̇OEuropean journal of applied physiology · 2026
    Article
  5. Machine Learning-Based VOBiosensors · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Review
  12. Article
  13. Systematic Review of Fitbit Charge 2 Validation Studies for Exercise Tracking.Translational journal of the American College of Sports Medicine · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
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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

5 authors.

Katharine KlepinSchool of Exercise and Nutritional Sciences, San Diego State University, San Diego, CA.
David WingExercise and Physical Activity Resource Center, University of California, San Diego, San Diego, CA.
Michael HigginsExercise and Physical Activity Resource Center, University of California, San Diego, San Diego, CA.
Jeanne NicholsSchool of Exercise and Nutritional Sciences, San Diego State University, San Diego, CA.
Job G GodinoExercise and Physical Activity Resource Center, University of California, San Diego, San Diego, CA.

Funding

Training CoreU54EB020405 · NIBIB · STANFORD UNIVERSITY · PI DELP, SCOTT L · 2014 to 2018
$11.6M
NIBIB NIH HHS U54 EB020405
6 · The paper itself

Abstract

purposeCardiorespiratory fitness (CRF), broadly defined as the body's ability to utilize oxygen, is a well-established prognostic marker of health, but it is not routinely measured. This may be due to the difficulty of acquiring high-quality CRF measures. The purpose of this study was to independently determine the validity of the Fitbit Charge 2's measure of CRF (Fitbit CRF).

methodsSixty-five healthy adults between the ages of 18 and 45 yr (55% female, 45% male) were recruited to undergo gold standard V˙O2max testing and wear a Fitbit Charge 2 continuously for 1 wk during which they were instructed to complete a qualifying outdoor run to derive the Fitbit CRF (units: mL·kg·min). This measure was compared with V˙O2max measures (units: mL·kg·min) epoched at 15 and 60 s.

resultsBland-Altman analyses revealed that Fitbit CRF had a positive bias of 1.59 mL·kg·min compared with laboratory data epoched at 15 s and 0.30 mL·kg·min compared with data epoched at 60 s (n = 60). F statistics (2.09; 0.08) and P values (0.133; 0.926) from Bradley-Blackwood tests for the concordance of Fitbit CRF with 15- and 60-s laboratory data, respectively, support the null hypothesis of equal means and variances, indicating there is concordance between the two measures. Mean absolute percentage error was less than 10% for each comparison.

conclusionsThe Fitbit Charge 2 provides an acceptable level of validity when measuring CRF in young, healthy, and fit adults who are able to run. Further research is required to determine if it is a potentially useful tool in clinical practice and epidemiological research to quantify, categorize, and longitudinally track risk for adverse outcomes.

Indexed as

Cardiorespiratory FitnessFitness TrackersOxygen ConsumptionAdolescentAdultExercise TestFemaleHumansMaleMiddle AgedReproducibility of ResultsRunningYoung Adult

Identifiers

PMID31107835
PMCPMC7028477

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.