Validation of Polar Grit X Pro for Estimating Energy Expenditure during Military Field Training: A Pilot Study.

Emily B Kloss, Andrea Givens, Laura Palombo, Jake Bernards, Brenda Niederberger, Daniel W Bennett, Karen R Kelly
Author Information
  1. Emily B Kloss: Applied Translational Exercise and Metabolic Physiology Team, Warfighter Performance Department, Naval Health Research Center, San Diego, CA, USA.
  2. Andrea Givens: Applied Translational Exercise and Metabolic Physiology Team, Warfighter Performance Department, Naval Health Research Center, San Diego, CA, USA.
  3. Laura Palombo: Applied Translational Exercise and Metabolic Physiology Team, Warfighter Performance Department, Naval Health Research Center, San Diego, CA, USA.
  4. Jake Bernards: Applied Translational Exercise and Metabolic Physiology Team, Warfighter Performance Department, Naval Health Research Center, San Diego, CA, USA.
  5. Brenda Niederberger: Applied Translational Exercise and Metabolic Physiology Team, Warfighter Performance Department, Naval Health Research Center, San Diego, CA, USA.
  6. Daniel W Bennett: Applied Translational Exercise and Metabolic Physiology Team, Warfighter Performance Department, Naval Health Research Center, San Diego, CA, USA.
  7. Karen R Kelly: Applied Translational Exercise and Metabolic Physiology Team, Warfighter Performance Department, Naval Health Research Center, San Diego, CA, USA.

Abstract

Wearables are lightweight, portable technology devices that are traditionally used to monitor physical activity and workload as well as basic physiological parameters such as heart rate. However recent advances in monitors have enabled better algorithms for estimation of caloric expenditure from heart rate for use in weight loss as well as sport performance. can be used for estimating energy expenditure and nutritional demand. Recently, the military has adopted the use of personal wearables for utilization in field studies for ecological validity of training. With popularity of use, the need for validation of these devices for caloric estimates is needed to assist in work-rest cycles. Thus the purpose of this effort was to evaluate the Polar Grit X for energy expenditure (EE) for use in military training exercises. Polar Grit X Pro watches were worn by active-duty elite male operators ( = 16; age: 31.7 ± 5.0 years, height: 180.1 ± 6.2 cm, weight: 91.7 ± 9.4 kg). Metrics were measured against indirect calorimetry of a metabolic cart and heart rate via a Polar heart rate monitor chest strap while exercising on a treadmill. Participants each performed five 10-minute bouts of running at a self-selected speed and incline to maintain a heart rate within one of five heart rate zones, as ordered and defined by Polar. Polar Grit X Pro watch had a good to excellent interrater reliability to indirect calorimetry at estimating energy expenditure (ICC = 0.8, 95% CI = 0.61-0.89, (74,17.3) = 11.76, < 0.0001) and a fair to good interrater reliability in estimating macronutrient partitioning (ICC = 0.49, 95% CI = 0.3-0.65, (74,74.54) = 2.98, < 0.0001). There is a strong relationship between energy expenditure as estimated from the Polar Grit X Pro and measured through indirect calorimetry. The Polar Grit X Pro watch is a suitable tool for estimating energy expenditure in free-living participants in a field setting and at a range of exercise intensities.

Keywords

References

  1. Scand J Med Sci Sports. 2019 Sep;29(9):1313-1321 [PMID: 31136027]
  2. J Chiropr Med. 2016 Jun;15(2):155-63 [PMID: 27330520]
  3. Int J Sports Med. 2005 Feb;26 Suppl 1:S28-37 [PMID: 15702454]
  4. Br J Sports Med. 2015 Aug;49(15):970-1 [PMID: 25807164]
  5. Int J Behav Nutr Phys Act. 2015 Dec 18;12:159 [PMID: 26684758]
  6. NPJ Digit Med. 2019 Jul 29;2:71 [PMID: 31372506]
  7. Sports Med. 2022 Nov;52(11):2775-2795 [PMID: 35829994]
  8. Physiol Meas. 2011 Dec;32(12):1983-2001 [PMID: 22056999]
  9. Sports Health. 2016 Jan-Feb;8(1):74-8 [PMID: 26733594]
  10. JMIR Mhealth Uhealth. 2020 May 6;8(5):e16716 [PMID: 32374274]
  11. J Appl Physiol (1985). 1999 Feb;86(2):479-87 [PMID: 9931180]
  12. Compr Physiol. 2015 Dec 15;6(1):1-32 [PMID: 26756625]
  13. Nat Med. 2020 Sep;26(9):1385-1391 [PMID: 32807930]
  14. J Sci Med Sport. 2018 Nov;21(11):1147-1153 [PMID: 29960798]
  15. Front Bioeng Biotechnol. 2016 Feb 16;4:11 [PMID: 26909346]
  16. Sleep. 2021 May 14;44(5): [PMID: 33378539]
  17. Med Sci Sports Exerc. 2016 Jan;48(1):151-8 [PMID: 26154336]
  18. JMIR Mhealth Uhealth. 2017 Mar 16;5(3):e34 [PMID: 28302596]
  19. JMIR Mhealth Uhealth. 2022 Apr 13;10(4):e35626 [PMID: 35416777]
  20. Int J Sports Med. 2019 Jul;40(7):462-467 [PMID: 31189190]
  21. J Strength Cond Res. 2015 Nov;29 Suppl 11:S34-9 [PMID: 26506195]
  22. Int J Environ Res Public Health. 2021 May 07;18(9): [PMID: 34066984]
  23. Int J Obes (Lond). 2019 Nov;43(11):2333-2342 [PMID: 30940917]
  24. Eur J Sport Sci. 2023 Feb;23(2):165-177 [PMID: 34957939]
  25. Sports Med. 2005;35(4):339-61 [PMID: 15831061]
  26. J Appl Physiol Respir Environ Exerc Physiol. 1984 Apr;56(4):831-8 [PMID: 6373687]
  27. BMJ Mil Health. 2023 Apr;169(2):170-175 [PMID: 33542142]
  28. J Strength Cond Res. 2012 Jul;26 Suppl 2:S107-18 [PMID: 22643142]
  29. Nat Sci Sleep. 2022 Mar 22;14:493-516 [PMID: 35345630]
  30. Gerontology. 2018;64(1):74-89 [PMID: 29130977]
  31. Cancer. 2019 Aug 15;125(16):2846-2855 [PMID: 31012970]
  32. Med Sci Sports Exerc. 2004 Dec;36(12):2128-34 [PMID: 15570150]
  33. Br J Sports Med. 2020 Mar;54(6):332-340 [PMID: 30194221]
  34. PLoS One. 2019 Jul 10;14(7):e0219563 [PMID: 31291373]
  35. PeerJ. 2021 Feb 09;9:e10893 [PMID: 33614295]

MeSH Term

Humans
Male
Adult
Pilot Projects
Reproducibility of Results
Military Personnel
Exercise
Energy Metabolism

Word Cloud

Created with Highcharts 10.0.0Polar=0heartrateexpenditureGritXenergyProuseestimatingmilitary±indirectcalorimetry74devicesusedmonitorwellcaloricfieldtraining72measuredfivewatchgoodinterraterreliabilityICC95%CI<0001exerciseWearableslightweightportabletechnologytraditionallyphysicalactivityworkloadbasicphysiologicalparametersHoweverrecentadvancesmonitorsenabledbetteralgorithmsestimationweightlosssportperformancecannutritionaldemandRecentlyadoptedpersonalwearablesutilizationstudiesecologicalvaliditypopularityneedvalidationestimatesneededassistwork-restcyclesThuspurposeeffortevaluateEEexerciseswatcheswornactive-dutyelitemaleoperators16age:315yearsheight:18016cmweight:9194kgMetricsmetaboliccartviacheststrapexercisingtreadmillParticipantsperformed10-minuteboutsrunningself-selectedspeedinclinemaintainwithinonezonesordereddefinedexcellent861-0891731176fairmacronutrientpartitioning493-0655498strongrelationshipestimatedsuitabletoolfree-livingparticipantssettingrangeintensitiesValidationEstimatingEnergyExpenditureMilitaryFieldTraining:PilotStudyWearablecalories

Similar Articles

Cited By