scholarly journals Differences between treadmill and cycle ergometer cardiopulmonary exercise testing results in amateur triathletes and their association with body composition and body mass index

2021 ◽  
Author(s):  
Szymon Price ◽  
Szczepan Wiecha ◽  
Igor Cieśliński ◽  
Daniel Śliż ◽  
Przemysław Seweryn Kasiak ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Exercise Testing ◽  
Cardiopulmonary Exercise Testing ◽  
Bioelectrical Impedance ◽  
Cycle Ergometer ◽  
Fat Free Mass ◽  
Cardiopulmonary Exercise ◽  
Maximum Exertion

Abstract Cardiopulmonary exercise testing (CPET) is the method of choice to assess aerobic fitness. Previous research was ambiguous as to whether treadmill (Tr) and cycle ergometry (CE) results are transferrable or different between testing modalities in triathletes. The aim of this paper was to investigate the differences in HR and VO2 at maximum exertion and at anaerobic threshold (AT) and respiratory compensation point (RCP) and evaluate their association with body fat (BF), fat free mass (FFM), and body mass index (BMI). 143 adult (n = 18 female), amateur, Caucasian triathletes had both Tr, and CE CPET performed. The male group was divided into < 40 years (n = 80) and > 40years (n = 45). Body composition was measured with bioelectrical impedance before tests. Differences were evaluated using paired T-tests and associations were evaluated in males using multiple linear regression (MLR). Significant differences were found in VO2 and HR at maximum exertion, at AT and at RCP between CE and Tr testing, in both males and females. VO2AT was 38.8(± 4.6) ml/kg/min in Tr vs 32.8(± 5.4) in CE in males and 36.0(± 3.6) vs 32.1(± 3.8) in females (p < 0.001). HRAT was 149 (± 10) bpm in Tr vs 136 (± 11) in CE in males and 156 (± 7) vs 146 (± 11) in females (p < 0.001). VO2max was 52 (± 6) ml/kg/min vs 49 (± 7) in CE in males and 45.3 (± 4.9) in Tr vs 43.9 (± 5.2) in females (p < 0.001). HRmax was 183 (± 10) bpm in Tr vs 177 (± 10) in CE in males and 183 (± 9) vs 179 (± 10) in females (p < 0.001). MLR showed that BMI, BF and FFM are significantly associated with differences in HR and VO2 at maximum, AT and RCP in males aged > 40. Both tests should be used independently to achieve optimal fitness assessment and further training planning.

scholarly journals An Increase in Fat Mass Index Predicts a Deterioration of Running Speed

Nutrients ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 701 ◽  
Author(s):  
Laurence Genton ◽  
Julie Mareschal ◽  
Véronique L. Karsegard ◽  
Najate Achamrah ◽  
Marta Delsoglio ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Fat Mass ◽  
High Body Mass Index ◽  
Bioelectrical Impedance ◽  
Fat Free Mass ◽  
Running Speed ◽  
Fat Mass Index ◽  
Running Performance

A low fat mass is associated with a good running performance. This study explores whether modifications in body composition predicted changes in running speed. We included people who underwent several measurements of body composition by bioelectrical impedance analysis between 1999 and 2016, at the “Course de l’Escalade”, taking place yearly in Geneva. Body composition was reported as a fat-free mass index (FFMI) and fat mass index (FMI). Running distances (men: 7.2 km; women: 4.8 km) and running times were used to calculate speed in km/h. We performed multivariate linear mixed regression models to determine whether modifications of body mass index, FFMI, FMI or the combination of FFMI and FMI predicted changes in running speed. The study population included 377 women (1419 observations) and 509 men (2161 observations). Changes in running speed were best predicted by the combination of FFMI and FMI. Running speed improved with a reduction of FMI in both sexes (women: ß −0.31; 95% CI −0.35 to −0.27, p < 0.001. men: ß −0.43; 95% CI −0.48 to −0.39, p < 0.001) and a reduction of FFMI in men (ß −0.20; 95% CI −0.26 to −0.15, p < 0.001). Adjusted for body composition, the decline in running performance occurred from 50 years onward, but appeared earlier with a body mass, FFMI or FMI above the median value at baseline. Changes of running speed are determined mostly by changes in FMI. The decline in running performance occurs from 50 years onward but appears earlier in people with a high body mass index, FFMI or FMI at baseline.

scholarly journals The relationship between body mass index and cardiopulmonary exercise testing in chronic systolic heart failure

2009 ◽  
Vol 158 (4) ◽  
pp. S31-S36 ◽  
Author(s):  
Tamara B. Horwich ◽  
Eric S. Leifer ◽  
Clinton A. Brawner ◽  
Meredith B. Fitz-Gerald ◽  
Gregg C. Fonarow
Keyword(s):  
Heart Failure ◽  
Body Mass Index ◽  
Body Mass ◽  
Exercise Testing ◽  
Cardiopulmonary Exercise Testing ◽  
Systolic Heart Failure ◽  
Cardiopulmonary Exercise ◽  
Chronic Systolic Heart Failure ◽  
The Relationship

Allometric correction of peak VO2 in obese adults undergoing cardiopulmonary exercise testing

2019 ◽  
Vol 15 (2) ◽  
pp. 77-83
Author(s):  
A.C. Matheus ◽  
A.R.T. Gagliardi ◽  
E.F. Sperandio ◽  
M. Romiti ◽  
R.L. Arantes ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Exercise Testing ◽  
Cardiopulmonary Exercise Testing ◽  
Normal Weight ◽  
Analysis Of Covariance ◽  
Obesity Class ◽  
Cardiopulmonary Exercise ◽  
Wide Range ◽  
Ratio Standards

We hypothesised that the reduction in cardiorespiratory fitness (CRF) of individuals with less severe obesity is small or non-existent when the allometric rather than the ratio standard is used for the comparison. We aimed to evaluate the influence of obesity on CRF, and to compare peak VO2 using allometric corrections in asymptomatic adults with a wide range of body mass index. The results of 780 adults (age 41±13 years) who underwent cardiopulmonary exercise testing (CPET) were evaluated. Participants were stratified according to body mass index (BMI): normal weight (n=227), overweight (n=198), and obese class 1 (n=155), 2 (n=131), and 3 (n=69). After cardiovascular risk assessment, the participants underwent CPET on a treadmill ramp protocol. The allometric exponents calculated were 0.60 and 0.62 for obese and non-obese groups respectively, with no significant differences. After using BMI strata in a multivariate analysis of covariance, we found an allometric exponent of 0.65. Peak VO2 using ratio standards significantly declined among all stratified groups. After allometric correction, peak VO2 remained significantly reduced only in women with obesity class 3 and men with obesity classes 2 and 3. When ratio standards were used to compare peak VO2, the effect of obesity on CRF was overestimated. Allometric correction of peak VO2 is more reasonable, and should be adopted as a routine for CPET.

scholarly journals Despite Low Obesity Rates, Body Mass Index Under-Estimated Obesity among Russian Police Officers When Compared to Body Fat Percentage

2020 ◽  
Vol 17 (6) ◽  
pp. 1937 ◽  
Author(s):  
Katie M. Heinrich ◽  
Konstantin G. Gurevich ◽  
Anna N. Arkhangelskaia ◽  
Oleg P. Karazhelyaskov ◽  
Walker S. C. Poston
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Body Fat ◽  
Police Officers ◽  
Weight Status ◽  
Bioelectrical Impedance ◽  
Accurate Method ◽  
Body Fat Percentage ◽  
Fat Percentage

In some countries, obesity rates among police officers are higher than the general public, despite physically demanding jobs. Obesity rates based on body mass index (BMI) may lack accuracy as BMI does not directly address body composition. Since data are lacking for obesity rates among Russian police officers, this study documented and compared officer obesity rates to the adult Russian population and compared the accuracy of body mass index (BMI) for obesity classification to two direct measures of body composition. Moscow region police officers (N = 182, 84% men) underwent height, weight, waist circumference (WC), and body fat percentage (BF%) bioelectrical impedance measurements during annual medical examinations. BMI-defined obesity rates were 4.6% for men and 17.2% for women, which were >3 and >1.8 times lower than Russian adults, respectively. WC-defined obesity rates were similar to BMI (3.3% for men and 10.3% for women), but BF%-defined obesity rates were much higher (22.2% for men and 55.2% for women). Although obesity rates were lower than those found among police officers in other countries, BMI alone was not a particularly accurate method for classifying weight status among Russian police officers.

scholarly journals Higher Usual Energy Intake, Body Mass, Body Mass Index, and Fat Free Mass Index Are Associated with Lower Attrition from an Arduous Military Selection Course (P23-005-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Emily Farina ◽  
Lauren Thompson ◽  
Joseph Knapik ◽  
Stefan Pasiakos ◽  
James McClung ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Strength Training ◽  
Aerobic Exercise ◽  
Energy Intake ◽  
Body Mass ◽  
Fat Mass ◽  
Smokeless Tobacco ◽  
Fat Free Mass ◽  
Energy Deficit

Abstract Objectives To determine whether usual energy intake and body composition are associated with attrition from an arduous military selection course characterized by energy deficit and strenuous physical events, including fitness tests, loaded road marches, runs, land navigation, and an obstacle course. Methods Energy intake and body composition were assessed in U.S. Army Soldiers (n = 776) at the start of a military assessment and selection course. Usual energy intake (kcal) over the previous year was estimated from a 127-item Block food frequency questionnaire. Body composition measures, including body mass (kg), body mass index (BMI, body mass in kg/height in m2), fat free mass index (FFMI, fat free mass in kg/height in m2), and fat mass index (FMI, fat mass in kg/height in m2) were assessed by calibrated scale and 3-site skinfold caliper measures. Associations between energy intake, body composition, and demographics were determined with analysis of variance. Logistic regression was used to determine likelihood of attrition [odds ratio (OR), 95% confidence interval (CI)] based on quartiles of energy intake and body composition. Models were adjusted for age, education, duration of aerobic exercise, duration of strength training, smoking status, and smokeless tobacco use. Results Soldiers that were younger (18–24 y), engaged in longer duration of aerobic exercise (≥200 min/wk) and strength training (≥400 min/wk), had more education (≥some college), and were smokeless tobacco users had higher energy intakes (P < 0.05). Higher energy intake was associated with higher body mass and FFMI (P < 0.05). After adjustment, Soldiers with higher energy intake, body mass, BMI, and FFMI were less likely to fail the strenuous course (Q1 vs. Q2, Q3, and Q4: OR range = 0.25–0.54; 95% CI lower bound range = 0.15–0.33; 95% CI upper bound range = 0.46–0.87). FMI was not associated with attrition. Conclusions Optimization of body composition by adequate consumption of calories prior to a physically demanding military selection course may be associated with reduced attrition. Funding Sources Supported by U.S. Army Medical Research and Materiel Command. The opinions or assertions contained herein are the private views of the authors and are not to be construed as official or reflecting the views of the Army or the Department of Defense. Supporting Tables, Images and/or Graphs

scholarly journals Estimation of body composition and water data depends on the bioelectrical impedance device

2018 ◽  
Vol 9 (1) ◽  
pp. 96-105 ◽  
Author(s):  
Natália T. Bellafronte ◽  
Marina R. Batistuti ◽  
Nathália Z. dos Santos ◽  
Héric Holland ◽  
Elen A. Romão ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Chronic Kidney Disease ◽  
Body Composition ◽  
Kidney Disease ◽  
Impedance Spectroscopy ◽  
Body Mass ◽  
Intraclass Correlation ◽  
Bioelectrical Impedance ◽  
Pearson’S Correlation ◽  
Pearson's Correlation

Abstract Overweight, obese and chronic kidney disease patients have an altered and negative body composition being its assessment important. Bioelectrical impedance analysis is an easy-to-operate and low-cost method for this purpose. This study aimed to compare and correlate data from single- and multi-frequency bioelectrical impedance spectroscopy applied in subjects with different body sizes, adiposity, and hydration status. It was a cross-sectional study with 386 non-chronic kidney disease volunteers (body mass index from 17 to 40 kg/m2), 30 patients in peritoneal dialysis, and 95 in hemodialysis. Bioelectrical impedance, body composition, and body water data were assessed with single- and multi-frequency bioelectrical impedance spectroscopy. Differences (95% confidence interval) and agreements (Bland-Atman analyze) between devices were evaluated. The intraclass correlation coefficient was used to measure the strength of agreement and Pearson’s correlation to measure the association. Regression analyze was performed to test the association between device difference with body mass index and overhydration. The limits of agreement between devices were very large. Fat mass showed the greatest difference and the lowest intraclass and Pearson’s correlation coefficients. Pearson’s correlation varied from moderate to strong and the intraclass correlation coefficient from weak to substantial. The difference between devices were greater as body mass index increased and was worse in the extremes of water imbalance. In conclusion, data obtained with single- and multi-frequency bioelectrical impedance spectroscopy were highly correlated with poor agreement; the devices cannot be used interchangeably and the agreement between the devices was worse as body mass index and fat mass increased and in the extremes of overhydration.

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