There Is No Global Running Pattern More Economic Than Another at Endurance Running Speeds

Click name to view affiliation

Aurélien Patoz
Search for other papers by Aurélien Patoz in
Current site
Google Scholar
PubMed
Close
,
Thibault Lussiana
Search for other papers by Thibault Lussiana in
Current site
Google Scholar
PubMed
Close
,
Bastiaan Breine
Search for other papers by Bastiaan Breine in
Current site
Google Scholar
PubMed
Close
,
Cyrille Gindre
Search for other papers by Cyrille Gindre in
Current site
Google Scholar
PubMed
Close
, and
Kim Hébert-Losier
Search for other papers by Kim Hébert-Losier in
Current site
Google Scholar
PubMed
Close
Restricted access

Purpose: The subjective Volodalen® score (V®score) and the objective duty factor metric can both assess global running patterns. The authors aimed to investigate the relation between running economy (RE) at endurance running speeds and the global running pattern quantified using both subjective and objective measures. Methods: RE and 3-dimensional whole-body kinematics were acquired by indirect calorimetry and an optoelectronic system, respectively, for 52 trained runners during treadmill runs at 10, 12, and 14 km/h. Results: Correlations between RE and V®score and RE and duty factor were negligible and nonsignificant across speeds tested (P ≥ .20), except for a low and significant correlation between RE and V®score at 10 km/h. Conclusions: These findings suggest there is no global running pattern more economic than another at endurance running speeds. Therefore, there is no advantage of choosing, favoring, or prescribing one specific global running pattern along a continuum based on V®score or duty factor metrics, and coaches should not try to modify the spontaneous running pattern of runners at endurance running speed to improve RE.

Patoz is with the Inst of Sport Sciences, University of Lausanne, Lausanne, Switzerland. Patoz, Lussiana, Breine, and Gindre are with the Research and Development Dept, Volodalen Swiss Sport Lab, Aigle, Switzerland. Lussiana and Gindre are with the Research and Development Dept, Volodalen, Chavéria, France. Lussiana is also with the Research Unit EA3920 Prognostic Markers and Regulatory Factors of Cardiovascular Diseases and Exercise Performance, Health, Innovation Platform, University of Bourgogne Franche-Comté, Besançon, France. Breine is also with the Dept of Movement and Sports Sciences, Ghent University, Ghent, Belgium. Hébert-Losier is with the Div of Health, Engineering, Computing and Science, Te Huataki Waiora School of Health, University of Waikato, Adams Centre for High Performance, Tauranga, New Zealand, and the Dept of Sports Science, National Sports Inst of Malaysia, Kuala Lumpur, Malaysia.

Patoz (aurelien@volodalen.com) is corresponding author.
  • Collapse
  • Expand
  • 1.

    Subotnick SI. The biomechanics of running. Implications for the prevention of foot injuries. Sports Med. 1985;2(2):144153. PubMed ID: 2860714 doi:10.2165/00007256-198502020-00006

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 2.

    Lussiana T, Gindre C, Hébert-Losier K, Sagawa Y, Gimenez P, Mourot L. Similar Running economy with different running patterns along the aerial-terrestrial continuum. Int J Sports Physiol Perform. 2017;12(4):481. PubMed ID: 27617625 doi:10.1123/ijspp.2016-0107

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 3.

    Lussiana T, Patoz A, Gindre C, Mourot L, Hébert-Losier K. The implications of time on the ground on running economy: less is not always better. J Exp Biol. 2019;222(6):jeb192047. doi:10.1242/jeb.192047

    • Search Google Scholar
    • Export Citation
  • 4.

    Patoz A, Lussiana T, Thouvenot A, Mourot L, Gindre C. Duty factor reflects lower limb kinematics of running. Appl Sci. 2020;10(24): 8818.

    • Search Google Scholar
    • Export Citation
  • 5.

    Minetti AE. A model equation for the prediction of mechanical internal work of terrestrial locomotion. J Biomech. 1998;31(5):463468. PubMed ID: 9727344 doi:10.1016/S0021-9290(98)00038-4

    • Search Google Scholar
    • Export Citation
  • 6.

    Svedenhag J, Sjödin B. Body-mass-modified running economy and step length in elite male middle- and long-distance runners. Int J Sports Med. 1994;15(6):305310. PubMed ID: 7822068 doi:10.1055/s-2007-1021065

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 7.

    Altman AR, Davis IS. A kinematic method for footstrike pattern detection in barefoot and shod runners. Gait Posture. 2012;35(2):298300. PubMed ID: 22075193 doi:10.1016/j.gaitpost.2011.09.104

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 8.

    Lussiana T, Gindre C, Mourot L, Hébert-Losier K. Do subjective assessments of running patterns reflect objective parameters? Eur J Sport Sci. 2017;17(7):847857. PubMed ID: 28488928 doi:10.1080/17461391.2017.1325072

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 9.

    Hinkle DE, Wiersma W, Jurs SG. Applied Statistics for the Behavioral Sciences. 5th ed. Boston, MA: Houghton Mifflin; 2002.

  • 10.

    Williams KR, Cavanagh PR. Relationship between distance running mechanics, running economy, and performance. J Appl Physiol. 1987;63(3):12361245. PubMed ID: 3654469 doi:10.1152/jappl.1987.63.3.1236

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 11.

    Moore IS. Is there an economical running technique? A review of modifiable biomechanical factors affecting running economy. Sports Med. 2016;46(6):793807. PubMed ID: 26816209 doi:10.1007/s40279-016-0474-4

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 12.

    Moore IS, Ashford KJ, Cross C, Hope J, Jones HSR, McCarthy-Ryan M. Humans optimize ground contact time and leg stiffness to minimize the metabolic cost of running. Front Sports Act Living. 2019;1:53. PubMed ID: 33344976 doi:10.3389/fspor.2019.00053

    • PubMed
    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 6433 754 179
Full Text Views 135 52 1
PDF Downloads 104 21 1