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Maximal ventilation and body size determine the oxygen cost of ventilation
Author(s) -
Yamada Paulette M.,
Vella Chantal A.,
Robergs Robert A.
Publication year - 2006
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.20.5.a1449-a
Subject(s) - ventilation (architecture) , zoology , vo2 max , body weight , mathematics , medicine , biology , heart rate , mechanical engineering , blood pressure , engineering
The oxygen cost of ventilation (VO 2VENT ) exponentially increases as ventilation increases, especially from moderate to maximal rates. PURPOSE The purpose of this study was to measure VO 2VENT at maximal efforts using a relatively large number of subjects of different fitness levels, body sizes, and ages, and correlate subject characteristics (e.g., age, VO 2 max, body surface area (BSA), weight, height) with VO 2VENT . We hypothesized that age and VO 2 max would correlate with VO 2VENT at maximal exercise. METHODS 20 healthy, non‐smoking male (n=18) and female (n=2) subjects (age: 21–43 yrs, VO 2 max: 2.2–7.0 l/min, weight: 50.8–113.6 kg) performed a cycle VO 2 max test and maximal ventilation (V E max) was measured. Subjects mimicked their V E max in a cycling posture while VO 2VENT was measured. Since the VO 2VENT data was not normally distributed, the log of VO 2VENT was used as the dependent variable. Multiple regression was used to determine if subject characteristics could predict VO 2VENT at maximal exercise. RESULTS BSA, body weight and mimicked V E max were significantly correlated to VO 2VENT , R 2 = 0.797, F(2,17) = 30.843, SEE = −0.057, p < 0.001. The prediction equation indicated that BSA, body weight and mimicked V E max were weighted the highest, the second and third highest, respectively, in predicting VO 2VENT (Log of VO 2VENT = 0.52037*(BSA) + 0.00096*(V E max) – 0.00521*(Wt) – 1.12924). Age and VO 2 max were not significantly correlated to VO 2VENT.CONCLUSION Although 79.7% of VO 2VENT could be explained, the remaining unexplained between‐subjects variability in VO 2VENT warrants further research in this area.