The relationship between changing body height and growth related changes in maximal aerobic power

1990 ◽  
Vol 60 (4) ◽  
pp. 282-287 ◽  
Author(s):  
J. Rutenfranz ◽  
M. Máček ◽  
K. Lange Andersen ◽  
R. D. Bell ◽  
J. Vávra ◽  
...  
Keyword(s):  
Aerobic Power ◽  
Body Height ◽  
Maximal Aerobic Power ◽  
The Relationship

Maximal Aerobic Power in Aging Men: Insights From a Record of 1-Hour Unaccompanied Cycling

2018 ◽  
Vol 13 (1) ◽  
pp. 112-114 ◽  
Author(s):  
Carlo Capelli
Keyword(s):  
Aerobic Power ◽  
Average Rate ◽  
Human Locomotion ◽  
Maximal Aerobic Power ◽  
Metabolic Power ◽  
Master Athletes ◽  
Active Lifestyle ◽  
Average Percentage ◽  
Aging Men ◽  
The Relationship

Purpose: To analyze best 1-h unaccompanied performances of master athletes in ages ranging from 35 to 105 y to estimate the decay of maximal aerobic power (MAP) across the spectrum of age. Methods: MAP at the various ages was estimated by computing the metabolic power () maintained to cover the distances during best 1-h unaccompanied performances established by master athletes of different classes of age and by assuming that they were able to maintain an equal to 88% of their MAP during 1 h of exhaustive exercise. Results: MAP started monotonically decreasing at 47 y of age. Thereafter, it showed an average rate of decrease of ∼14% for the decades up to 105 y of age, similar to other classes of master athletes. Conclusions: The results confirm, by extending the analysis to centennial subjects, that MAP seems to start declining from the middle of the 5th decade of age, with an average percentage decay that is faster than that traditionally reported, even when one maintains a very active lifestyle. The proposed approach may be applied to other types of human locomotion for which the relationship between speed and is known.

Could the A2A11 Human Leucocyte Antigen Locus Correlate with Maximal Aerobic Power?

1997 ◽  
Vol 92 (4) ◽  
pp. 331-333 ◽  
Author(s):  
GIL Rodas ◽  
Guadalupe Ercilla ◽  
Casimiro Javierre ◽  
Eduardo Garrido ◽  
MAR Calvo ◽  
...  
Keyword(s):  
Human Leucocyte Antigen ◽  
Aerobic Power ◽  
Maximal Aerobic Power ◽  
Hla System ◽  
Sports Events ◽  
Progressive Exercise ◽  
Genetic Endowment ◽  
Sporting Activities ◽  
The Relationship ◽  
Male Twin

1. The power of the aerobic metabolic pathway correlates well with successful physical performance in endurance sports events. The ability to alter the pathway through training presents well-known limitations, and consequently a good genetic endowment is essential to participate in elite sporting activities. 2. In 32 subjects (16 healthy pairs of male twin sportsmen, 8 monozygotic and 8 dizygotic) zygosity was determined by means of the genetic analysis of human leucocyte antigen (HLA) system specificities at class I and II loci and other genetic variants. The subjects performed a progressive exercise test on a treadmill to ascertain the maximal oxygen uptake (V̇O2max), measured by an automatic breath-by-breath analyser. We have considered the relationship between the A, B and C loci of the HLA system and V̇O2max. 3. We found a high correlation between the presence of both HLA A2 and All and V̇O2max. In the A2A11 group (n = 6) we found a V̇O2max (mean ± SD) equal to 71 ± 4 ml min−1 kg−1. The group without this pair of alleles (n = 26) showed a much lower aerobic power (58 ±5 ml min−1 kg−1). Differences between the two groups were found to be largely significant (P < 0.001). It is noteworthy that in two pairs of dizygotic twins, the higher V̇O2max value corresponded to the twin with the A2A11 allele. 4. The very marked concordance between the presence of the A2A11 locus of the HLA system and the V̇O2max could be of great interest for the identification of outstanding performers.

Maximal aerobic exercise in pregnant women: heart rate, O2 consumption, CO2 production, and ventilation

1991 ◽  
Vol 70 (3) ◽  
pp. 1016-1023 ◽  
Author(s):  
F. K. Lotgering ◽  
M. B. van Doorn ◽  
P. C. Struijk ◽  
J. Pool ◽  
H. C. Wallenburg
Keyword(s):  
Heart Rate ◽  
Aerobic Power ◽  
Treadmill Exercise ◽  
Statistical Significance ◽  
Maximal Aerobic Power ◽  
Co2 Production ◽  
Maximal Heart Rate ◽  
O2 Uptake ◽  
Positive Linear Correlation ◽  
The Relationship

This study was to determine whether pregnancy affects maximal aerobic power. We measured heart rate, O2 uptake (VO2), CO2 production (VCO2), and ventilation at rest and during bicycle (BE) and treadmill exercise (TE) tests with rapidly increasing exercise intensities at 16, 25, and 35 wk gestation and 7 wk after delivery. Maximal heart rate was slightly lower throughout pregnancy compared with the nonpregnant state during both BE [174 +/- 2 vs. 178 +/- 2 (SE) beats/min] and TE (178 +/- 2 vs. 183 +/- 2 beats/min). Maximal VO2 was unaffected by pregnancy during BE and TE (2.20 +/- 0.08, 2.16 +/- 0.08, 2.15 +/- 0.08, and 2.19 +/- 0.08 l/min for BE and 2.45 +/- 0.08, 2.38 +/- 0.09, 2.33 +/- 0.09, and 2.39 +/- 0.08 l/min for TE at 16, 25, and 35 wk gestation and 7 wk postpartum, respectively). As a result of increased VO2 at rest, the amount of O2 available for exercise (exercise minus rest) tended to decrease with advancing gestation, reaching statistical significance only during TE at 35 wk gestation (1.99 +/- 0.08 l/min vs. 2.10 +/- 0.08 l/min postpartum). Power showed a positive linear correlation with O2 availability during BE as well as TE, and the relationship was unaffected by pregnancy.(ABSTRACT TRUNCATED AT 250 WORDS)

The use of Body Surface Index as a Better Clinical Health indicators Compare to Body Mass Index and Body Surface Area for Clinical Application

2018 ◽  
pp. 131-136
Author(s):  
Shirazu I. ◽  
Theophilus. A. Sackey ◽  
Elvis K. Tiburu ◽  
Mensah Y. B. ◽  
Forson A.
Keyword(s):  
Surface Area ◽  
Body Surface Area ◽  
Clinical Application ◽  
Body Surface ◽  
Body Height ◽  
Health Indicators ◽  
The Body ◽  
Body Parameters ◽  
The Relationship ◽  
Individual Body

The relationship between body height and body weight has been described by using various terms. Notable among them is the body mass index, body surface area, body shape index and body surface index. In clinical setting the first descriptive parameter is the BMI scale, which provides information about whether an individual body weight is proportionate to the body height. Since the development of BMI, two other body parameters have been developed in an attempt to determine the relationship between body height and weight. These are the body surface area (BSA) and body surface index (BSI). Generally, these body parameters are described as clinical health indicators that described how healthy an individual body response to the other internal organs. The aim of the study is to discuss the use of BSI as a better clinical health indicator for preclinical assessment of body-organ/tissue relationship. Hence organ health condition as against other body composition. In addition the study is `also to determine the best body parameter the best predict other parameters for clinical application. The model parameters are presented as; modeled height and weight; modelled BSI and BSA, BSI and BMI and modeled BSA and BMI. The models are presented as clinical application software for comfortable working process and designed as GUI and CAD for use in clinical application.

Maximal aerobic power in essential hypertension

1988 ◽  
Vol 6 (11) ◽  
pp. 859-865 ◽  
Author(s):  
Robert Fagard ◽  
Jan Staessen ◽  
Antoon Amery
Keyword(s):  
Essential Hypertension ◽  
Aerobic Power ◽  
Maximal Aerobic Power

Prediction of maximal aerobic power in man

1977 ◽  
Vol 36 (3) ◽  
pp. 215-222 ◽  
Author(s):  
S. S. Verma ◽  
J. Sen Gupta ◽  
M. S. Malhotra
Keyword(s):  
Aerobic Power ◽  
Maximal Aerobic Power

Determination of the Relationship between Renal Volume Model and Related Body Indices for Clinical Application in Ghana

2017 ◽  
pp. 313-320
Author(s):  
Issahaku Shirazu ◽  
Y. B. Mensah ◽  
Cyril Schandorf ◽  
S. Y. Mensah
Keyword(s):  
Clinical Application ◽  
Body Height ◽  
Reference Value ◽  
Renal Volume ◽  
Water Displacement ◽  
Volume Model ◽  
Measuring Machine ◽  
And Gender ◽  
Body Parameters ◽  
The Relationship

The study was done to establish the relationship between measured renal volume and body parameters to estimate standard reference value of renal volume related body parameters (RV-BMI, RV-BSI and RV-BSA) in Ghana for clinical application. The estimates were done based on age and gender variation and compare the established standard reference renal volume with its related body parameters. The weight and BMI measuring machine together with tape measure and glass beaker were the measuring tools used. The procedure involve measurement of body height and weight and using the estimated values to calculate BMI with the BMI calculator. It also involve using DuBois formula to estimate local standard reference values of BSI and BSA in Ghana. The reference standard renal volume was determined using water displacement with the Archimedes' principle to confirm the established values in Ghana. These value were compare with established standard reference renal volume model in Ghana which were estimated using abdominal images on MeVisLab application software platform and determined the relationship between these parameters. The determined Ghanaian standard reference renal volume were: 146.74cm3, 151.76cm3, 142.04cm3 and 148.29cm3 for male and female, with its corresponding right and left kidneys respectively. The estimated mean BMI, BSI and BSA were; 25.19kg/m2 39.81 kg/m2 and 2.02m2 for male and 21.91kg/m2 36.58kg/m2 and 1.69m2 for female respectively. Hence from these set of values, the relationship between renal volume and its related BMI was determined to be 6.04cm3-kg/m2 for male and 6.47cm3-kg/m2 for female. While the male RV related-BSA was also determine to be 74.05cm3-m2 and 84.09cm3-m2 for female. Finally, the renal volume related-BSI was also estimated to be 3.81cm3-kg/m2 for male and 3.88cm3-kg/m2 for female. The standard reference renal volume related BMI, BSI and BSA are recommended to be used for renal assessment for clinical application in Ghana.

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