Estimation of Human Endurance Time
Bibliographic Data
| ID | 4940548 |
|---|---|
| Authors | Verma (0000-0002-0220-3034), S S Verma (0000-0001-8097-0194, Defence Institute of Physiology and Allied Sciences), Y K Sharma (0009-0007-3561-5194) |
| Year | 2004 |
| Volume | 62 |
| Issue | 1 |
| Pages | 107-114 |
| Publication date | 2004-03-16 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Anthropologischer Anzeiger (JOURNAL) |
| Journal identifiers | ISSN: 0003-5548 • E-ISSN: 2363-7099 |
| Publisher | S ch we iz er ba rt (PUBLISHER) |
| DOI | 10.1127/anthranz/62/2004/107 |
| PMID | 15109039 |
| OpenAlex | W2301218289 |
| Language | EN |
| References cited | 1 |
A prediction formula has been evolved for estimation of human endurance time from aerobic and anaerobic fraction of the total oxygen utilization. The derivation of the formula is based on the assumption that fractional change in endurance time varies directly as the fractional change in aerobic fraction in the same direction and varies as the fractional change in anaerobic fraction in the opposite direction. The validity of the prediction formula has been tested on two sets of data. The first set is consisting of 31 observations on 13 Indian subjects and a second set of data is consisting of 7 observations on one subject collected from literature. The multiple correlations for these sets of data were 0.9650 and 0.9996, respectively. These multiple correlations were highly significant (p < 0.001). It has been concluded that aerobic and anaerobic fractions of total oxygen utilization are significant predictors of human endurance time.
Aerobic exercise · Anaerobic exercise · Chromatography · Data set · Econometrics · Estimation · Fraction (chemistry) · Physical therapy · Set (abstract data type) · Statistics · Cardiovascular and exercise physiology · Chemistry · Computer Science · Mathematics · Medicine · Sports and Physical Education Research · Sports Performance and Training
| Highly cited | No |
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