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Abstract

The Polar Fitness Test (PFT) estimates maximal oxygen consumption (V̇O2max) under resting conditions using heart rate data from the manufacturer’s wearable devices. We aimed to validate the PFT in a population with cardiovascular risk factors and to compare its results with five established equations predicting V̇O2max based on the 6-min walk test (6MWT). Twenty-four participants (9 female; age 57.4 ± 10.2 years) undergoing medically supervised exercise training—including seven individuals on heart rate-limiting medication—completed the PFT, 6MWT, and cardiopulmonary exercise testing (CPET), which served as the criterion V̇O2max measurement. The PFT showed a mean absolute percent-age error (MAPE) of 13.7%, an intraclass correlation coefficient (ICC) of 0.743, a mean bias of −1.0 mL/min/kg, and limits of agreement (LoA) of ±11.4 mL/min/kg compared to CPET. Among the 6MWT-based equations, only the Porcari equation demonstrated similar performance (MAPE 12.6%, ICC 0.725, mean bias 0.2 mL/min/kg, LoA ± 9.7 mL/min/kg), while other equations showed larger errors and systematic deviations. Our data indicate that the PFT may present an easily accessible option to estimate V̇O2max on population level when exercise-based testing is not feasible. However, its variability limits use for individual clinical decisions, reaffirming the relevance of CPET for accurate assessment.

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Title
Validation of the Polar Fitness Test for Estimation of Maximal Oxygen Consumption at Rest in Medically Supervised Exercise Training: Comparison with CPET and the 6-Minute Walk Test †
Author
Neudorfer, Michael 1 ; Ötzlinger Lukas 1 ; Kumar, Devender 2   VIAFID ORCID Logo  ; Niebauer, Josef 3 ; Smeddinck, Jan David 2   VIAFID ORCID Logo  ; Sareban Mahdi 4 ; Treff Gunnar 5   VIAFID ORCID Logo 

 University Institute of Sports Medicine, Prevention and Rehabilitation, University Hospital Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria 
 Ludwig Boltzmann Institute for Digital Health and Prevention, 5020 Salzburg, Austria 
 University Institute of Sports Medicine, Prevention and Rehabilitation, University Hospital Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria, Ludwig Boltzmann Institute for Digital Health and Prevention, 5020 Salzburg, Austria, Institute of Molecular Sports and Rehabilitation Medicine, Paracelsus Medical University, 5020 Salzburg, Austria 
 University Institute of Sports Medicine, Prevention and Rehabilitation, University Hospital Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria, Ludwig Boltzmann Institute for Digital Health and Prevention, 5020 Salzburg, Austria 
 Ludwig Boltzmann Institute for Digital Health and Prevention, 5020 Salzburg, Austria, Institute of Molecular Sports and Rehabilitation Medicine, Paracelsus Medical University, 5020 Salzburg, Austria 
Publication title
Sensors; Basel
Volume
25
Issue
18
First page
5649
Number of pages
17
Publication year
2025
Publication date
2025
Publisher
MDPI AG
Place of publication
Basel
Country of publication
Switzerland
e-ISSN
14248220
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-09-10
Milestone dates
2025-07-18 (Received); 2025-09-04 (Accepted)
Publication history
 
 
   First posting date
10 Sep 2025
ProQuest document ID
3254645709
Document URL
https://www.proquest.com/scholarly-journals/validation-polar-fitness-test-estimation-maximal/docview/3254645709/se-2?accountid=208611
Copyright
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-09-26
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2 databases
  • Coronavirus Research Database
  • ProQuest One Academic