The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A 1% treadmill grade most accurately reflects the energetic cost of outdoor running
Abstract
When running indoors on a treadmill, the lack of air resistance results in a lower energy cost compared with running outdoors at the same velocity. A slight incline of the treadmill gradient can be used to increase the energy cost in compensation. The aim of this study was to determine the treadmill gradient that most accurately reflects the energy cost of outdoor running. Nine trained male runners, thoroughly habituated to treadmill running, ran for 6 min at six different velocities (2.92, 3.33, 3.75, 4.17, 4.58 and 5.0 m s-1) with 6 min recovery between runs. This routine was repeated six times, five times on a treadmill set at different grades (0%, 0%, 1%, 2%, 3%) and once outdoors along a level road. Duplicate collections of expired air were taken during the final 2 min of each run to determine oxygen consumption. The repeatability of the methodology was confirmed by high correlations (r = 0.99) and non-significant differences between the duplicate expired air collections and between the repeated runs at 0% grade. The relationship between oxygen uptake (VO2) and velocity for each grade was highly linear (r > 0.99). At the two lowest velocities, VO2 during road running was not significantly different from treadmill running at 0% or 1% grade, but was significantly less than 2% and 3% grade. For 3.75 m s-1, the VO2 during road running was significantly different from treadmill running at 0%, 2% and 3% grades but not from 1% grade. For 4.17 and 4.58 m s-1, the VO2 during road running was not significantly different from that at 1% or 2% grade but was significantly greater than 0% grade and significantly less than 3% grade. At 5.0 m s-1, the VO2 for road running fell between the VO2 value for 1% and 2% grade treadmill running but was not significantly different from any of the treadmill grade conditions. This study demonstrates equality of the energetic cost of treadmill and outdoor running with the use of a 1% treadmill grade over a duration of approximately 5 min and at velocities between 2.92 and 5.0 m s-1.
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Citations
Cites
Peak treadmill running velocity during the V O2max test predicts running performance
Noakes, T. D., Myburgh, K. H., & Schall, R. (1990) · Journal of Sports Sciences · doi:10.1080/02640419008732129 · Cited by 361
Running economy of elite male and elite female runners
DANIELS, J., & DANIELS, N. (1992) · Medicine & Science in Sports & Exercise · doi:10.1249/00005768-199204000-00015 · Cited by 345
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Lansley, K. E., Winyard, P. G., Fulford, J., Vanhatalo, A., Bailey, S. J., Blackwell, J. R., DiMenna, F. J., Gilchrist, M., Benjamin, N., & Jones, A. M. (2011) · Journal of Applied Physiology · doi:10.1152/japplphysiol.01070.2010 · Cited by 404
Self-citationKelly, J., Fulford, J., Vanhatalo, A., Blackwell, J. R., French, O., Bailey, S. J., Gilchrist, M., Winyard, P. G., & Jones, A. M. (2013) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.00406.2012 · Cited by 232
Self-citationGreig, M. (2008) · The American Journal of Sports Medicine · doi:10.1177/0363546508314413 · Cited by 187
Effects of reduced energy availability on bone metabolism in women and men
Papageorgiou, M., Elliott-Sale, K. J., Parsons, A., Tang, J. C. Y., Greeves, J. P., Fraser, W. D., & Sale, C. (2017) · Bone · doi:10.1016/j.bone.2017.08.019 · Cited by 159
Beetroot Juice Supplementation Does Not Improve Performance of Elite 1500-m Runners
BOORSMA, R. K., WHITFIELD, J., & SPRIET, L. L. (2014) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000000364 · Cited by 142
The Influence of Carbohydrate Mouth Rinse on Self-Selected Speeds during a 30-min Treadmill Run
Rollo, I., Williams, C., Gant, N., & Nute, M. (2008) · International Journal of Sport Nutrition and Exercise Metabolism · doi:10.1123/ijsnem.18.6.585 · Cited by 137
Kato, H., Suzuki, K., Bannai, M., & Moore, D. R. (2016) · PLOS ONE · doi:10.1371/journal.pone.0157406 · Cited by 128
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PEELING, P., DAWSON, B., GOODMAN, C., LANDERS, G., WIEGERINCK, E. T., SWINKELS, D. W., & TRINDER, D. (2009) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e318192ce58 · Cited by 107
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SHAW, D. M., MERIEN, F., BRAAKHUIS, A., MAUNDER, E., & DULSON, D. K. (2019) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000002008 · Cited by 101
Cumulative effects of consecutive running sessions on hemolysis, inflammation and hepcidin activity
Peeling, P., Dawson, B., Goodman, C., Landers, G., Wiegerinck, E. T., Swinkels, D. W., & Trinder, D. (2009) · European Journal of Applied Physiology · doi:10.1007/s00421-009-0988-7 · Cited by 95
Drinking behaviors of elite male runners during marathon competition
Beis, L. Y., Wright-Whyte, M., Fudge, B., Noakes, T., & Pitsiladis, Y. P. (2012) · Clinical Journal of Sport Medicine · doi:10.1097/jsm.0b013e31824a55d7 · Cited by 85
Fletcher, G., Eves, F. F., Glover, E. I., Robinson, S. L., Vernooij, C. A., Thompson, J. L., & Wallis, G. A. (2017) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.116.133520 · Cited by 75
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Badenhorst, C. E., Dawson, B., Cox, G. R., Laarakkers, C. M., Swinkels, D. W., & Peeling, P. (2015) · European Journal of Applied Physiology · doi:10.1007/s00421-015-3252-3 · Cited by 57
Shannon, O. M., Duckworth, L., Barlow, M. J., Woods, D., Lara, J., Siervo, M., & O'Hara, J. P. (2016) · Nitric Oxide · doi:10.1016/j.niox.2016.08.001 · Cited by 51
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Townsend, R., Elliott-Sale, K. J., Pinto, A. J., Thomas, C., Scott, J. P. R., Currell, K., Fraser, W. D., & Sale, C. (2016) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2016-1848 · Cited by 39
No effect of acute l-arginine supplementation on O2 cost or exercise tolerance
Vanhatalo, A., Bailey, S. J., DiMenna, F. J., Blackwell, J. R., Wallis, G. A., & Jones, A. M. (2013) · European Journal of Applied Physiology · doi:10.1007/s00421-013-2593-z · Cited by 32
Self-citationGreig, M., Marchant, D., Lovell, R., Clough, P., & McNaughton, L. (2007) · British Journal of Sports Medicine · doi:10.1136/bjsm.2006.030387 · Cited by 32
Using Near-Infrared Spectroscopy to Determine Maximal Steady State Exercise Intensity
Snyder, A. C., & Parmenter, M. A. (2009) · Journal of Strength and Conditioning Research · doi:10.1519/jsc.0b013e3181ad3362 · Cited by 32
Nighttime feeding likely alters morning metabolism but not exercise performance in female athletes
Ormsbee, M. J., Gorman, K. A., Miller, E. A., Baur, D. A., Eckel, L. A., Contreras, R. J., Panton, L. B., & Spicer, M. T. (2016) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2015-0526 · Cited by 31
Oskarsson, J., & McGawley, K. (2018) · Applied Physiology Nutrition and Metabolism · doi:10.1139/apnm-2017-0547 · Cited by 31
El-Ashker, S., Chaabene, H., Negra, Y., Prieske, O., & Granacher, U. (2018) · Sports · doi:10.3390/sports6040119 · Cited by 28
Cunha, F. A., Midgley, A. W., McNaughton, L. R., & Farinatti, P. T. V. (2016) · Journal of Science and Medicine in Sport · doi:10.1016/j.jsams.2015.02.004 · Cited by 26
Postexercise Fructose–Maltodextrin Ingestion Enhances Subsequent Endurance Capacity
MAUNDER, E., PODLOGAR, T., & WALLIS, G. A. (2018) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000001516 · Cited by 25
Hill, A., Schücker, L., Wiese, M., Hagemann, N., & Strauß, B. (2021) · International Journal of Sport and Exercise Psychology · doi:10.1080/1612197x.2020.1739110 · Cited by 25
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Rodrigo-Carranza, V., González-Mohíno, F., Turner, A. P., Rodriguez-Barbero, S., & González-Ravé, J. M. (2021) · International Journal of Sports Medicine · doi:10.1055/a-1343-2127 · Cited by 24
Seven days of high carbohydrate ingestion does not attenuate post-exercise IL-6 and hepcidin levels
Badenhorst, C. E., Dawson, B., Cox, G. R., Sim, M., Laarakkers, C. M., Swinkels, D. W., & Peeling, P. (2016) · European Journal of Applied Physiology · doi:10.1007/s00421-016-3426-7 · Cited by 20
Relf, R., Willmott, A., Flint, M. S., Beale, L., & Maxwell, N. (2019) · Journal of Thermal Biology · doi:10.1016/j.jtherbio.2018.12.019 · Cited by 19
Running economy and body composition between competitive and recreational level distance runners
Mooses, M., Jürimäe, J., Mäestu, J., Mooses, K., Purge, P., & Jürimäe, T. (2013) · Acta Physiologica Hungarica · doi:10.1556/aphysiol.100.2013.3.10 · Cited by 16
Prochilo, G. A., Costa, R. J. S., Hassed, C., Chambers, R., & Molenberghs, P. (2021) · Pilot and Feasibility Studies · doi:10.1186/s40814-020-00751-6 · Cited by 12
DOBASHI, K., FUKAZAWA, Y., KATAGIRI, A., ENOMOTO, Y., NISHIYASU, T., & FUJII, N. (2024) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000003292 · Cited by 4
Östh, S., Helge, T., & Ekblom-Bak, E. (2025) · Sport Sciences for Health · doi:10.1007/s11332-025-01396-9 · Cited by 2
Metadata
- Authors
- Jones, A. M., & Doust, J. H.
- Venue
- Journal of Sports Sciences
- Publisher
- Informa UK Limited
- Published
- 1996-08
- Volume
- 14
- Issue
- 4
- Pages
- 321-327
- ISSN
- 0264-0414 (ISSN-L)
- 1466-447X
- OpenAlex
- W2397316111
- Cited by
- 977
- References
- 2
- FWCI
- 4.06
- Type
- journal article
- Language
- en
- Open access
- closed
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