Reliability and interrelationships between maximal oxygen intake, physical work capacity and step-test scores in college women

McArdle, William D.; Katch, Frank I.; Pechar, Gary S.; Jacobson, Loni; Ruck, Shelley

doi:10.1249/00005768-197200440-00019

Cited by 183 publications

(167 citation statements)

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“…7 Cardiorespiratory fitness was measured using maximal oxygen uptake (or VO2max) by the Mc Ardle Step Test. 8,9 The test was performed using a stool with a height of 16.25 inches (41.30 cm). The test was done for a total duration of three minutes at the rate of 24 cycles per min.…”

Section: Methodsmentioning

confidence: 99%

Correlation between Fitness Index and BMI among 1st MBBS Students of a Tribal District Teaching Hospital of India

Mirza¹,

Aparna²,

Sreemala³

2014

J Cont Med A Dent

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Section: Methodsmentioning

confidence: 99%

Correlation between Fitness Index and BMI among 1st MBBS Students of a Tribal District Teaching Hospital of India

Mirza¹,

Aparna²,

Sreemala³

2014

J Cont Med A Dent

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“…The heart beats were measured for 15 seconds at the time of completion of test. Maximal oxygen uptake of the subjects was calculated with the equations suggested by McArdle et al (1972). The equations were "111.99 -0.42 × heart rate (beats per minute)" in men, and "65.81 -0.1847 × heart rate (beats per minute)" in women.…”

Section: Measuring Maximal Oxygen Uptakementioning

confidence: 99%

Estimation of Maximal Oxygen Uptake without Exercise Testing in Korean Healthy Adult Workers

Jang

Park

Kim

et al. 2012

Tohoku J. Exp. Med.

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Maximal oxygen uptake is generally accepted as the most valid and reliable index of cardiorespiratory fitness and functional aerobic capacity. The exercise test for measuring maximal oxygen uptake is unsuitable for screening tests in public heath examinations, because of the potential risks of exercise exertion and time demands. We designed this study to determine whether work-related physical activity is a potential predictor of maximal oxygen uptake, and to develop a maximal oxygen uptake equation using a non-exercise regression model for the cardiorespiratory fitness test in Korean adult workers. Study subjects were adult workers of small-sized companies in Korea. Subjects with history of disease such as hypertension, diabetes, asthma and angina were excluded. In total, 217 adult subjects (113 men of 21-55 years old and 104 women of 20-64 years old) were included. Self-report questionnaire survey was conducted on study subjects, and maximal oxygen uptake of each subject was measured with the exercise test. The statistical analysis was carried out to develop an equation for estimating maximal oxygen uptake. The predictors for estimating maximal oxygen uptake included age, gender, body mass index, smoking, leisure-time physical activity and the factors representing work-related physical activity. The work-related physical activity was identified to be a predictor of maximal oxygen uptake. Moreover, the equation showed high validity according to the statistical analysis. The equation for estimating maximal oxygen uptake developed in the present study could be used as a screening test for assessing cardiorespiratory fitness in Korean adult workers.

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“…The needs of the trial subjects were burdened with physical effort in the form of the test by McArdle et al [21].…”

Section: The Measurement Of Hemodynamic Parametersmentioning

confidence: 99%

Diagnostic sources of information on sports result determinants in young powerlifting athletes

Ryguła¹,

Płóciennik²,

Lipińska³

2018

Hum Mov.

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Purpose. Sports results in powerlifting have been extensively studied, but there is no analysis of the diagnostic sources of criteria for selecting 19-20-year-old athletes. Therefore, it is important to continue the study of factors affecting performance in powerlifting, not only in individual events, but also in the entire discipline. There were two research objectives in the study: firstly, to identify a set of independent (predictor) variables contributing to sports results (outcome variable) in powerlifting using the least numbers of those variables, and secondly, to develop a biometric regression model describing the sports result. Methods. The study group (n = 30) comprised juniors (aged 19.4 ± 0.7) training powerlifting. The following methods of collecting information were used: observation, survey, and analytical methods of diagnostics: analysis of multiple regression functions, and selection of optimal variables with the use of Hellwig's algorithm. Results. The optimal set of variables predicting sports results in junior powerlifting consists of nine features. The integral capacity of the selected information sources reached the value of 0.891. Conclusions. It was confirmed that body composition, special physical fitness, and the technique of movement would constitute the optimum combination of explanatory variables of the model. These characteristics have the highest value as diagnostic and selection criteria and should not be overlooked.

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Reliability and interrelationships between maximal oxygen intake, physical work capacity and step-test scores in college women

Cited by 183 publications

References 0 publications

Correlation between Fitness Index and BMI among 1st MBBS Students of a Tribal District Teaching Hospital of India

Correlation between Fitness Index and BMI among 1st MBBS Students of a Tribal District Teaching Hospital of India

Estimation of Maximal Oxygen Uptake without Exercise Testing in Korean Healthy Adult Workers

Diagnostic sources of information on sports result determinants in young powerlifting athletes

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