scholarly journals Quantifying Maximal Oxygen Uptake using Lean Body Mass in Children with Obesity

2019 ◽  
Vol 33 (S1) ◽  
Author(s):  
Dharini M Bhammar ◽  
Rubria Marines‐Price ◽  
Daniel P Wilhite ◽  
Vipa Bernhardt ◽  
Beverley Adams‐Huet ◽  
...  
Keyword(s):  
Oxygen Uptake ◽  
Lean Body Mass ◽  
Body Mass ◽  
Maximal Oxygen Uptake

scholarly journals A placebo-controlled randomized study with testosterone in Klinefelter syndrome: beneficial effects on body composition

2019 ◽  
Vol 8 (9) ◽  
pp. 1250-1261 ◽  
Author(s):  
Christian Høst ◽  
Anders Bojesen ◽  
Mogens Erlandsen ◽  
Kristian A Groth ◽  
Kurt Kristensen ◽  
...  
Keyword(s):  
Body Composition ◽  
Oxygen Uptake ◽  
Lean Body Mass ◽  
Body Mass ◽  
Body Fat ◽  
Fat Mass ◽  
Maximal Oxygen Uptake ◽  
Klinefelter Syndrome ◽  
Abdominal Fat ◽  
Testosterone Treatment

Context and objective Males with Klinefelter syndrome (KS) are typically hypogonadal with a high incidence of metabolic disease, increased body fat and mortality. Testosterone treatment of hypogonadal patients decrease fat mass, increase lean body mass and improve insulin sensitivity, but whether this extends to patients with KS is presently unknown. Research design and methods In a randomized, double-blind, placebo-controlled, BMI-matched cross-over study, 13 males with KS (age: 34.8 years; BMI: 26.7 kg/m2) received testosterone (Andriol®) 160 mg per day (testosterone) or placebo treatment for 6 months. Thirteen age- and BMI-matched healthy controls were recruited. DEXA scan, abdominal computed tomography (CT) scan and a hyperinsulinemic–euglycemic clamp, muscle strength and maximal oxygen uptake measurement were performed. Results Total lean body mass and body fat mass were comparable between testosterone-naïve KS and controls using DEXA, whereas visceral fat mass, total abdominal and intra-abdominal fat by CT was increased (P < 0.05). Testosterone decreased total body fat (P = 0.01) and abdominal fat by CT (P = 0.04). Glucose disposal was similar between testosterone-naïve KS and controls (P = 0.3) and unchanged during testosterone (P = 0.8). Free fatty acid suppression during the clamp was impaired in KS and maximal oxygen uptake was markedly lower in KS, but both were unaffected by treatment. Testosterone increased hemoglobin and IGF-I. Conclusion Testosterone treatment in adult males with KS for 6 months leads to favorable changes in body composition with reductions in fat mass, including abdominal fat mass, but does not change measures of glucose homeostasis.

scholarly journals Prediction of Maximal Oxygen Uptake by Six-Minute Walk Test and Body Mass Index in Healthy Boys

2018 ◽  
Vol 200 ◽  
pp. 155-159 ◽  
Author(s):  
Majid Jalili ◽  
Farzad Nazem ◽  
Akbar Sazvar ◽  
Kamal Ranjbar
Keyword(s):  
Body Mass Index ◽  
Oxygen Uptake ◽  
Body Mass ◽  
Maximal Oxygen Uptake ◽  
Walk Test ◽  
Six Minute Walk Test ◽  
Minute Walk

scholarly journals INVESTIGATION OF LEAN BODY MASS AS A LIMITING FACTOR OF MAXIMUM OXYGEN UPTAKE

1974 ◽  
Vol 23 (3) ◽  
pp. 96-100 ◽  
Author(s):  
KAORU KITAGAWA ◽  
KOMEI IKUTA ◽  
YUKO HARA ◽  
KOICHI HIIRTA
Keyword(s):  
Oxygen Uptake ◽  
Lean Body Mass ◽  
Body Mass ◽  
Maximum Oxygen Uptake ◽  
Limiting Factor

scholarly journals Prediction of vo2max based on age, body mass, and resting heart rate

2014 ◽  
Vol 15 (1) ◽  
Author(s):  
Agron M. Rexhepi ◽  
Behlul Brestovci
Keyword(s):  
Heart Rate ◽  
Oxygen Uptake ◽  
Regression Model ◽  
Body Mass ◽  
Maximal Oxygen Uptake ◽  
Resting Heart Rate

AbstractPurpose. The aim of the present study was to develop a non-exercise regression model for predicting maximal oxygen uptake (VO

scholarly journals Physiological Determinants of Ultramarathon Trail-Running Performance

2020 ◽  
pp. 1-8
Author(s):  
Alexandra M. Coates ◽  
Jordan A. Berard ◽  
Trevor J. King ◽  
Jamie F. Burr
Keyword(s):  
Oxygen Uptake ◽  
Body Mass ◽  
Aerobic Fitness ◽  
Maximal Oxygen Uptake ◽  
Cardiovascular Health ◽  
Peak Velocity ◽  
Running Economy ◽  
Running Performance ◽  
Uptake Test ◽  
Trail Running

Context: The physiological determinants of ultramarathon success have rarely been assessed and likely differ in their contributions to performance as race distance increases. Purpose: To examine predictors of performance in athletes who completed either a 50-, 80-, or 160-km trail race over a 20-km loop course on the same day. Methods: Measures of running history, aerobic fitness, running economy, body mass loss, hematocrit alterations, age, and cardiovascular health were examined in relation to race-day performance. Performance was defined as the percentage difference from the winning time at a given race distance, with 0% representing the fastest possible time. Results: In the 50-km race, training volumes, cardiovascular health, aerobic fitness, and a greater loss of body mass during the race were all related to better performance (all P < .05). Using multiple linear regression, peak velocity achieved in the maximal oxygen uptake test (β = −11.7, P = .002) and baseline blood pressure (β = 3.1, P = .007) were the best performance predictors for the men’s 50-km race (r = .98, r2 = .96, P < .001), while peak velocity achieved in the maximal oxygen uptake test (β = −13.6, P = .001) and loss of body mass (β = 12.8, P = .03) were the best predictors for women (r = .94, r2 = .87, P = .001). In the 80-km race, only peak velocity achieved in the maximal oxygen uptake test predicted performance (β = −20.3, r = .88, r2 = .78, P < .001). In the 160-km race, there were no significant performance determinants. Conclusions: While classic determinants of running performance, including cardiovascular health and running fitness, predict 50-km trail-running success, performance in longer-distance races appears to be less influenced by such physiological parameters.

Economy of running: beyond the measurement of oxygen uptake

2009 ◽  
Vol 107 (6) ◽  
pp. 1918-1922 ◽  
Author(s):  
Jared R. Fletcher ◽  
Shane P. Esau ◽  
Brian R. MacIntosh
Keyword(s):  
Oxygen Uptake ◽  
Body Mass ◽  
Maximal Oxygen Uptake ◽  
Lactate Threshold ◽  
Unit Cost ◽  
Substrate Utilization ◽  
Open Circuit ◽  
Running Economy ◽  
Oxygen Cost ◽  
Distance Runners

The purpose of this study was to compare running economy across three submaximal speeds expressed as both oxygen cost (ml·kg−1·km−1) and the energy required to cover a given distance (kcal·kg−1·km−1) in a group of trained male distance runners. It was hypothesized that expressing running economy in terms of caloric unit cost would be more sensitive to changes in speed than oxygen cost by accounting for differences associated with substrate utilization. Sixteen highly trained male distance runners [maximal oxygen uptake (V̇o2max) 66.5 ± 5.6 ml·kg−1·min−1, body mass 67.9 ± 7.3 kg, height 177.6 ± 7.0 cm, age 24.6 ± 5.0 yr] ran on a motorized treadmill for 5 min with a gradient of 0% at speeds corresponding to 75%, 85%, and 95% of speed at lactate threshold with 5-min rest between stages. Oxygen uptake was measured via open-circuit calorimetry. Average oxygen cost was 221 ± 19, 217 ± 15, and 221 ± 13 ml·kg−1·km−1, respectively. Caloric unit cost was 1.05 ± 0.09, 1.07 ± 0.08, and 1.11 ± 0.07 kcal·kg−1·km−1 at the three trial speeds, respectively. There was no difference in oxygen cost with respect to speed ( P = 0.657); however, caloric unit cost significantly increased with speed ( P < 0.001). It was concluded that expression of running economy in terms of caloric unit cost is more sensitive to changes in speed and is a more valuable expression of running economy than oxygen uptake, even when normalized per distance traveled.

Effects of dieting and exercise on lean body mass, oxygen uptake, and strength

1985 ◽  
Vol 17 (4) ◽  
pp. 466-471 ◽  
Author(s):  
KONSTANTIN N. PAVLOU ◽  
WILLIAM P. STEFFEE ◽  
ROBERT H. LERMAN ◽  
BELTON A. BURROWS
Keyword(s):  
Oxygen Uptake ◽  
Lean Body Mass ◽  
Body Mass

scholarly journals Predicting the 2000‐m Rowing Ergometer Performance from Anthropometric, Maximal Oxygen Uptake and 60‐s Mean Power Variables in National Level Young Rowers

2020 ◽  
Vol 75 (1) ◽  
pp. 77-83
Author(s):  
Dario Cerasola ◽  
Marianna Bellafiore ◽  
Angelo Cataldo ◽  
Daniele Zangla ◽  
Antonino Bianco ◽  
...  
Keyword(s):  
Oxygen Uptake ◽  
Body Mass ◽  
Maximal Oxygen Uptake ◽  
National Level ◽  
Body Height ◽  
Mean Power ◽  
Long Duration ◽  
Rowing Performance ◽  
Rowing Ergometer ◽  
Fast Start

Abstract Many studies reported various relationships between 2000-m rowing performance and anthropometric as well as metabolic variables, however, little is known about 60-s mean power in elite youth athletes. The aim of this study was to develop different regression models to predict 2000-m rowing indoor performance time (t2000) using anthropometric variables, maximal oxygen uptake (VO2max) and mean power established during a 60-s all-out test (W60) in national elite youth rowers. Fifteen youth male Italian rowers (age: 15.7 ± 2.0 years; body height: 176.0 ± 8.0 cm; body mass: 71.2 ± 10.0 kg) performed an incremental maximal test, a 60-s all-out test and a 2000-m race simulation using a Concept2 rowing ergometer to assess VO2max, W60 and t2000, respectively. The relationships of all variables with t2000 were investigated through Pearson’s correlation. Multiple regression analyses were used to verify the best prediction model of 2000-m indoor rowing performance. The reliability of these models was expressed by R2 and the standard error of estimate. The results showed that t2000 was significantly correlated with all the examined variables, except for VO2max/body mass and age, and exhibited the significantly highest relationship with W60 (r = -0.943). The combination of anthropometric, VO2max and W60 variables was found to be the most reliable equation to predict t2000 (R2 = 0.94, SEE = 6.4). W60 measure should be considered when monitoring the rower’s capability to perform high-intensity phases, important during the race’s fast start and end. Not requiring expensive equipment and long duration, a 60-s all-out test could be considered a valuable tool for predicting 2000-m performance of elite youth rowers.

Influence of body mass on maximal oxygen uptake: effect of sample size

2001 ◽  
Vol 84 (3) ◽  
pp. 201-205 ◽  
Author(s):  
Kurt Jensen ◽  
Lars Johansen ◽  
Niels H. Secher
Keyword(s):  
Oxygen Uptake ◽  
Sample Size ◽  
Body Mass ◽  
Maximal Oxygen Uptake
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