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Walking economy at simulated high altitude in human healthy young male lowlanders

Horiuchi, Masahiro, Handa, Yoko, Abe, Daijiro, Fukuoka, Yoshiyuki·2016·Biology Open
DOI 10.1242/bio.019810PMC PMC5087691
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Abstract

We measured oxygen consumption during walking per unit distance (Cw) values for 12 human healthy young males at six speeds from 0.667 to 1.639 m s−1 (four min per stage) on a level gradient under normobaric normoxia, moderate hypoxia (15% O2), and severe hypoxia (11% O2). Muscle deoxygenation (HHb) was measured at the vastus lateralis muscle using near-infrared spectroscopy. Economical speed which can minimize the Cw in each individual was calculated from a U-shaped relationship. We found a significantly slower economical speed (ES) under severe hypoxia [1.237 (0.056) m s−1; mean (s.d.)] compared to normoxia [1.334 (0.070) m s−1] and moderate hypoxia [1.314 (0.070) m s−1, P<0.05 respectively] with no differences between normoxia and moderate hypoxia (P>0.05). HHb gradually increased with increasing speed under severe hypoxia, while it did not increase under normoxia and moderate hypoxia. Changes in HHb between standing baseline and the final minute at faster gait speeds were significantly related to individual ES (r=0.393 at 1.250 m s−1, r=0.376 at 1.444 m s−1, and r=0.409 at 1.639 m s−1, P<0.05, respectively). These results suggested that acute severe hypoxia slowed ES by ∼8%, but moderate hypoxia left ES unchanged.

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Fig. 1. Changes in cardiorespiratory variables and energy expenditure (EE) at all gait speeds under normoxia (○), moderate hypoxia (△), and severe hypoxia (●). Values are mean±s.d. *P<0.05 between normoxia and severe hypoxia, †P<0.05 between moderate and severe hypoxia within a same speed, respectively (Tukey post hoc test was used). V̇O2, oxygen uptake; V̇CO2, carbon dioxide output; V̇E, pulmonary ventilation. Error bars indicate s.d.
Fig. 1. Changes in cardiorespiratory variables and energy expenditure (EE) at all gait speeds under normoxia (○), moderate hypoxia (△), and severe hypoxia (●). Values are mean±s.d. *P<0.05 between normoxia and severe hypoxia, †P<0.05 between moderate and severe hypoxia within a same speed, respectively (Tukey post hoc test was used). V̇O2, oxygen uptake; V̇CO2, carbon dioxide output; V̇E, pulmonary ventilation. Error bars indicate s.d.CC BY · PubMed Central
Fig. 2. Energy cost of walking and economical speed. Energy cost of walking (Cw) at all gait speeds (A); averaged Cw during slower and faster three stages at each oxygen concentration (B); and comparisons in the economical speed (ES) at each oxygen concentration (C). White circles and bars indicate normoxia, gray triangles and bars indicate moderate hypoxia, and black circles and bars indicate severe hypoxia. In A, values are mean±s.d. Error bars indicate s.d. *P<0.05 between normoxia and moderate hypoxia, †P<0.05 between moderate and severe hypoxia (Tukey post hoc test was used).
Fig. 2. Energy cost of walking and economical speed. Energy cost of walking (Cw) at all gait speeds (A); averaged Cw during slower and faster three stages at each oxygen concentration (B); and comparisons in the economical speed (ES) at each oxygen concentration (C). White circles and bars indicate normoxia, gray triangles and bars indicate moderate hypoxia, and black circles and bars indicate severe hypoxia. In A, values are mean±s.d. Error bars indicate s.d. *P<0.05 between normoxia and moderate hypoxia, †P<0.05 between moderate and severe hypoxia (Tukey post hoc test was used).CC BY · PubMed Central
Fig. 3. Relative changes from standing baseline values in deoxygenated hemoglobin (HHb) corresponding to gait speed at each oxygen concentration. White circles indicate normoxia, gray circles indicate moderate hypoxia, and black circles indicate severe hypoxia. Values are mean±s.d. *P<0.05 between normoxia and moderate hypoxia; †P<0.05 between moderate and severe hypoxia; (Tukey post hoc test was used).
Fig. 3. Relative changes from standing baseline values in deoxygenated hemoglobin (HHb) corresponding to gait speed at each oxygen concentration. White circles indicate normoxia, gray circles indicate moderate hypoxia, and black circles indicate severe hypoxia. Values are mean±s.d. *P<0.05 between normoxia and moderate hypoxia; †P<0.05 between moderate and severe hypoxia; (Tukey post hoc test was used).CC BY · PubMed Central
Fig. 4. Relationships between an individual's ES and delta changes in HHb between standing baseline and last 1-min data at each gait speed. Data are pooled in all oxygen concentrations (n=36). Data points indicate normoxia (○), moderate hypoxia (△), and severe hypoxia (●).Gait speed of (A) 0.667 m s−1; (B) 0.861 m s−1; (C) 1.056 m s−1; (D) 1.250 m s−1; (E) 1.444 m s−1; and (F) 1.639 m s−1.
Fig. 4. Relationships between an individual's ES and delta changes in HHb between standing baseline and last 1-min data at each gait speed. Data are pooled in all oxygen concentrations (n=36). Data points indicate normoxia (○), moderate hypoxia (△), and severe hypoxia (●).Gait speed of (A) 0.667 m s−1; (B) 0.861 m s−1; (C) 1.056 m s−1; (D) 1.250 m s−1; (E) 1.444 m s−1; and (F) 1.639 m s−1.CC BY · PubMed Central

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Research works printed but not linked: 39

  1. Abe, 2004, Effects of load carriage, load position, and walking speed on energy cost of walking, Appl. Ergon., 35, 329, 10.1016/j.apergo.2004.03.008 · DOI · Paper page
  2. Abe, 2008, Ergonomic effects of load carriage on energy cost of gradient walking, Appl. Ergon., 39, 144, 10.1016/j.apergo.2007.06.001 · DOI
  3. Abe, 2008, Ergonomic effects of load carriage on the upper and lower back on metabolic energy cost of walking, Appl. Ergon., 39, 392, 10.1016/j.apergo.2007.07.001 · DOI
  4. Abe, 2015, Economical speed and energetically optimal transition speed evaluated by gross and net oxygen cost of transport at different gradients, PLoS ONE, 10, e0138154, 10.1371/journal.pone.0138154 · DOI · Paper page
  5. Ando, 2013, The effects of exercise under hypoxia on cognitive function, PLoS ONE, 8, e63630, 10.1371/journal.pone.0063630 · DOI
  6. Bastien, 2005, Energetics of load carrying in Nepalese porters, Science, 308, 1755, 10.1126/science.1111513 · DOI
  7. Beall, 2007, Two routes to functional adaptation: tibetan and Andean high-altitude natives, Proc. Natl. Acad. Sci. USA, 104, 8655, 10.1073/pnas.0701985104 · DOI
  8. Brouwer, 1957, On simple formulae for calculating the heat expenditure and the quantities of carbohydrate and fat oxidized in metabolism of men and animals, from gaseous exchange (Oxygen intake and carbonic acid output) and urine-N, Acta Physiol. Pharmacol. Neerl., 6, 795
  9. Browning, 2006, Effects of obesity and sex on the energetic cost and preferred speed of walking, J. Appl. Physiol., 100, 390, 10.1152/japplphysiol.00767.2005 · DOI · Paper page
  10. Calbet, 2009, Air to muscle O2 delivery during exercise at altitude, High Alt. Med. Biol., 10, 123, 10.1089/ham.2008.1099 · DOI
  11. Calbet, 2009, On the mechanisms that limit oxygen uptake during exercise in acute and chronic hypoxia: role of muscle mass, J. Physiol., 587, 477, 10.1113/jphysiol.2008.162271 · DOI
  12. DeLorey, 2003, Relationship between pulmonary O2 uptake kinetics and muscle deoxygenation during moderate-intensity exercise, J. Appl. Physiol. (1985), 95, 113, 10.1152/japplphysiol.00956.2002 · DOI
  13. DeLorey, 2004, The effect of hypoxia on pulmonary O2 uptake, leg blood flow and muscle deoxygenation during single-leg knee-extension exercise, Exp. Physiol., 89, 293, 10.1113/expphysiol.2003.026864 · DOI
  14. Donelan, 1997, The effect of reduced gravity on the kinematics of human walking: a test of the dynamic similarity hypothesis for locomotion, J. Exp. Biol., 200, 3193, 10.1242/jeb.200.24.3193 · DOI · Paper page
  15. Engelen, 1996, Effects of hypoxic hypoxia on O2 uptake and heart rate kinetics during heavy exercise, J. Appl. Physiol. (1985), 81, 2500, 10.1152/jappl.1996.81.6.2500 · DOI · Paper page
  16. Erzurum, 2007, Higher blood flow and circulating NO products offset high-altitude hypoxia among Tibetans, Proc. Natl. Acad. Sci. USA, 104, 17593, 10.1073/pnas.0707462104 · DOI
  17. Grassi, 2003, Muscle oxygenation and pulmonary gas exchange kinetics during cycling exercise on-transitions in humans, J. Appl. Physiol. (1985), 95, 149, 10.1152/japplphysiol.00695.2002 · DOI · Paper page
  18. Horiuchi, 2014, Impact of viewing vs. not viewing a real forest on physiological and psychological responses in the same setting, Int. J. Environ. Res. Public Health, 11, 10883, 10.3390/ijerph111010883 · DOI
  19. Horiuchi, 2014, Differential effect of sympathetic activation on tissue oxygenation in gastrocnemius and soleus muscles during exercise in humans, Exp. Physiol., 99, 348, 10.1113/expphysiol.2013.075846 · DOI
  20. Horiuchi, 2014, Energy cost of pushing a wheelchair on various gradients in young men, Int. J. Indus. Ergon., 44, 442, 10.1016/j.ergon.2013.11.014 · DOI
  21. Horiuchi, 2015, Comparisons of energy cost and economical walking speed at various gradients in healthy active younger and older adults, J. Exerc. Sci. Fit., 13, 79, 10.1016/j.jesf.2015.06.001 · DOI
  22. Horiuchi, 2015, Impact of ischemic preconditioning on functional sympatholysis during handgrip exercise in humans, Physiol. Rep., 3, e12304, 10.14814/phy2.12304 · DOI
  23. Jacobs, 2013, Improvements in exercise performance with high-intensity interval training coincide with an increase in skeletal muscle mitochondrial content and function, J. Appl. Physiol. (1985), 115, 785, 10.1152/japplphysiol.00445.2013 · DOI
  24. Kashima, 2003, Spectroscopic measurement of blood volume and its oxygenation in a small volume of tissue using red laser lights and differential calculation between two point detections, Optics Laser Technol., 35, 485, 10.1016/S0030-3992(03)00066-5 · DOI
  25. Koga, 2007, Spatial heterogeneity of quadriceps muscle deoxygenation kinetics during cycle exercise, J. Appl. Physiol. (1985), 103, 2049, 10.1152/japplphysiol.00627.2007 · DOI
  26. Malatesta, 2003, Energy cost of walking and gait instability in healthy 65- and 80-yr-olds, J. Appl. Physiol. (1985), 95, 2248, 10.1152/japplphysiol.01106.2002 · DOI
  27. Maloiy, 1986, Energetic cost of carrying loads: have African women discovered an economic way?, Nature, 319, 668, 10.1038/319668a0 · DOI
  28. Marconi, 2005, Economy of locomotion in high-altitude Tibetan migrants exposed to normoxia, J. Physiol., 569, 667, 10.1113/jphysiol.2005.094979 · DOI
  29. Martin, 1992, Effects of age and physical activity status on the speed-aerobic demand relationship of walking, J. Appl. Physiol., 73, 200, 10.1152/jappl.1992.73.1.200 · DOI
  30. Masschelein, 2012, Dietary nitrate improves muscle but not cerebral oxygenation status during exercise in hypoxia, J. Appl. Physiol. (1985), 113, 736, 10.1152/japplphysiol.01253.2011 · DOI · Paper page
  31. McArdle, 1996, Exercise Physiology: Nutrition, Energy, and Human Performance 4the edition, Alphen aan den Rijn
  32. Minetti, 2006, Himalayan porter's specialization: metabolic power, economy, efficiency and skill, Proc. Biol. Sci., 273, 2791, 10.1098/rspb.2006.3653 · DOI
  33. Patterson, 1989, Time resolved reflectance and transmittance for the noninvasive measurement of tissue optical properties, Appl. Optics, 28, 2331, 10.1364/AO.28.002331 · DOI
  34. Peyrot, 2012, Why does walking economy improve after weight loss in obese adolescents?, Med. Sci. Sports Exerc., 44, 659, 10.1249/MSS.0b013e318236edd8 · DOI
  35. Poole, 1988, Metabolic and respiratory profile of the upper limit for prolonged exercise in man, Ergonomics, 31, 1265, 10.1080/00140138808966766 · DOI
  36. Saibene, 1990, The mechanisms for minimizing energy expenditure in human locomotion, Eur. J. Clin. Nutr., 44, 65
  37. Schoene, 2001, Limits of human lung function at high altitude, J. Exp. Biol., 204, 3121, 10.1242/jeb.204.18.3121 · DOI
  38. Wall-Scheffler, 2013, Reproductive costs for everyone: how female loads impact human mobility strategies, J. Hum. Evol., 64, 448, 10.1016/j.jhevol.2013.01.014 · DOI
  39. Wezenberg, 2013, Relation between aerobic capacity and walking ability in older adults with a lower-limb amputation, Arch. Phys. Med. Rehabil., 94, 1714, 10.1016/j.apmr.2013.02.016 · DOI

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Metadata

Authors
Horiuchi, M., Handa, Y., Abe, D., & Fukuoka, Y.
Venue
Biology Open
Publisher
The Company of Biologists
Published
2016-10-15
Volume
5
Issue
10
Pages
1408-1414
ISSN
2046-6390
DOI
10.1242/bio.019810
PMC
PMC5087691
Cited by
16
References
2
Language
en
Licence
creativecommons.org/licenses/by/3.0 (vor, 1419 d)
Funders
Japan Society for the Promotion of Science (26440268JP, 26440266JP, 26650175JP)

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CoChat. (2026). Citation check: Walking economy at simulated high altitude in human healthy young male lowlanders. https://app.cochat.ai/papers/10.1242/bio.019810
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Horiuchi, M., Handa, Y., Abe, D., & Fukuoka, Y. (2016). Walking economy at simulated high altitude in human healthy young male lowlanders. Biology Open. https://doi.org/10.1242/bio.019810