Is Stryd Critical Power a Meaningful Parameter for Runners?

Overview

Journal Biol Sport

Specialty Orthopedics

Date 2023 Jul 3

PMID 37398957

Authors

Chey G Dearing

Carl D Paton

Affiliations

Soon will be listed here.

Abstract

Stryd is a foot pod that reliably estimates running power. Our objectives were to examine the efficacy of the website-generated Stryd critical power (CP) as a meaningful parameter for runners. 20 runners performed their regular training while wearing Stryd for a minimum of 6 weeks to generate CP. Runners completed laboratory graded exercise testing, and outdoor 1500 m and 5000 m time trails. CP was most similar to the second ventilatory threshold (VT2) or the onset of blood lactate accumulation (OBLA) and is highly predictive of running performance. Stryd ground contact time (GCT) was a predictor of performance when comparing runners at the same submaximal treadmill speed. CP generated from outdoor running is equivalent to that calculated using an established CP model. However, variance between different methods of CP estimation must be a consideration for runners and coaches. Stryd offers meaningful data for runners including a realistic estimate of CP.

Citing Articles

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References

Galan-Rioja M, Gonzalez-Mohino F, Poole D, Gonzalez-Rave J . Relative Proximity of Critical Power and Metabolic/Ventilatory Thresholds: Systematic Review and Meta-Analysis. Sports Med. 2020; 50(10):1771-1783. DOI: 10.1007/s40279-020-01314-8. View

Jaen-Carrillo D, Roche-Seruendo L, Carton-Llorente A, Ramirez-Campillo R, Garcia-Pinillos F . Mechanical Power in Endurance Running: A Scoping Review on Sensors for Power Output Estimation during Running. Sensors (Basel). 2020; 20(22). PMC: 7696724. DOI: 10.3390/s20226482. View

Rusko H, Nummela A, Mero A . A new method for the evaluation of anaerobic running power in athletes. Eur J Appl Physiol Occup Physiol. 1993; 66(2):97-101. DOI: 10.1007/BF01427048. View

Poole D, Burnley M, Vanhatalo A, Rossiter H, Jones A . Critical Power: An Important Fatigue Threshold in Exercise Physiology. Med Sci Sports Exerc. 2016; 48(11):2320-2334. PMC: 5070974. DOI: 10.1249/MSS.0000000000000939. View

Garcia-Pinillos F, Soto-Hermoso V, Latorre-Roman P, Parraga-Montilla J, Roche-Seruendo L . How Does Power During Running Change when Measured at Different Time Intervals?. Int J Sports Med. 2019; 40(9):609-613. DOI: 10.1055/a-0946-2159. View

Maturana F, Fontana F, Pogliaghi S, Passfield L, Murias J . Critical power: How different protocols and models affect its determination. J Sci Med Sport. 2017; 21(7):742-747. DOI: 10.1016/j.jsams.2017.11.015. View

Iannetta D, Ingram C, Keir D, Murias J . Methodological Reconciliation of CP and MLSS and Their Agreement with the Maximal Metabolic Steady State. Med Sci Sports Exerc. 2021; 54(4):622-632. DOI: 10.1249/MSS.0000000000002831. View

Austin C, Hokanson J, McGinnis P, Patrick S . The Relationship between Running Power and Running Economy in Well-Trained Distance Runners. Sports (Basel). 2018; 6(4). PMC: 6317050. DOI: 10.3390/sports6040142. View

Keir D, Maturana F, Iannetta D, Murias J . Comment on: "Relative Proximity of Critical Power and Metabolic/Ventilatory Thresholds: Systematic Review and Meta-Analysis". Sports Med. 2020; 51(2):367-368. DOI: 10.1007/s40279-020-01365-x. View

10.

Garcia-Pinillos F, Latorre-Roman P, Soto-Hermoso V, Parraga-Montilla J, Pantoja-Vallejo A, Ramirez-Campillo R . Agreement between the spatiotemporal gait parameters from two different wearable devices and high-speed video analysis. PLoS One. 2019; 14(9):e0222872. PMC: 6759187. DOI: 10.1371/journal.pone.0222872. View

11.

Pinedo-Jauregi A, Garcia-Tabar I, Carrier B, Navalta J, Camara J . Reliability and validity of the Stryd Power Meter during different walking conditions. Gait Posture. 2021; 92:277-283. DOI: 10.1016/j.gaitpost.2021.11.041. View

12.

Garcia-Tabar I, Gorostiaga E . Comment on: "Relative Proximity of Critical Power and Metabolic/Ventilatory Thresholds: Systematic Review and Meta-Analysis". Sports Med. 2021; 51(9):2011-2013. DOI: 10.1007/s40279-021-01497-8. View

13.

Navalta J, Montes J, Bodell N, Aguilar C, Radzak K, Manning J . Reliability of Trail Walking and Running Tasks Using the Stryd Power Meter. Int J Sports Med. 2019; 40(8):498-502. DOI: 10.1055/a-0875-4068. View

14.

Mitchell E, Martin N, Bailey S, Ferguson R . Critical power is positively related to skeletal muscle capillarity and type I muscle fibers in endurance-trained individuals. J Appl Physiol (1985). 2018; 125(3):737-745. DOI: 10.1152/japplphysiol.01126.2017. View

15.

Santos-Concejero J, Granados C, Irazusta J, Bidaurrazaga-Letona I, Zabala-Lili J, Tam N . Differences in ground contact time explain the less efficient running economy in north african runners. Biol Sport. 2014; 30(3):181-7. PMC: 3944563. DOI: 10.5604/20831862.1059170. View

16.

Jones A, Doust J . A 1% treadmill grade most accurately reflects the energetic cost of outdoor running. J Sports Sci. 1996; 14(4):321-7. DOI: 10.1080/02640419608727717. View

17.

Cerezuela-Espejo V, Courel-Ibanez J, Moran-Navarro R, Martinez-Cava A, Pallares J . The Relationship Between Lactate and Ventilatory Thresholds in Runners: Validity and Reliability of Exercise Test Performance Parameters. Front Physiol. 2018; 9:1320. PMC: 6167480. DOI: 10.3389/fphys.2018.01320. View

18.

Seiler K, Kjerland G . Quantifying training intensity distribution in elite endurance athletes: is there evidence for an "optimal" distribution?. Scand J Med Sci Sports. 2006; 16(1):49-56. DOI: 10.1111/j.1600-0838.2004.00418.x. View

19.

Weltman A, Snead D, Stein P, Seip R, Schurrer R, Rutt R . Reliability and validity of a continuous incremental treadmill protocol for the determination of lactate threshold, fixed blood lactate concentrations, and VO2max. Int J Sports Med. 1990; 11(1):26-32. DOI: 10.1055/s-2007-1024757. View

20.

Stratton E, OBrien B, Harvey J, Blitvich J, McNicol A, Janissen D . Treadmill Velocity Best Predicts 5000-m Run Performance. Int J Sports Med. 2009; 30(1):40-45. DOI: 10.1055/s-2008-1038761. View