Prediction of VO&lt;sub&gt;2&lt;/sub&gt;max based on age, body mass, and resting heart rate

Rexhepi, Agron M.; Brestovci, Behlul

doi:10.2478/humo-2014-0003

Cited by 17 publications

(15 citation statements)

References 7 publications

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“…These findings present new research opportunities, as the power at VLF is related to changes in the humoral system 27 , while DFA fluctuations have been considered useful when analyzing the intrinsic behavior of a system 28 . Finally, the age of the participants influenced the final prediction model of VO 2max , with correlations of r = 0.423 in men and r = 0.212 in women, which has been considered in the development of other prediction models 29 . The Durbin Watson test for independence of variables showed, in the case of women, independence of the residuals, while in men, the residuals were autocorrelated.…”

mentioning

confidence: 99%

Heart Rate Variability and Body Composition as Vo2max Determinants

León-Ariza

Botero‐Rosas

Zea-Robles

2017

Rev Bras Med Esporte

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Introduction: The maximum oxygen consumption (VO 2max ) is the gold standard in the cardiorespiratory endurance assessment. Objective: This study aimed to develop a mathematical model that contains variables to determine the VO 2max of sedentary people. Methods: Twenty participants (10 men and 10 women) with a mean age of 19.8±1.77 years were included. For each participant, body composition (percentage of fat and muscle), heart rate variability (HRV) at rest (supine and standing), and VO 2max were evaluated through an indirect test on a cycloergometer. A multivariate linear regression model was developed from the data obtained, and the model assumptions were verified. The obtained model demonstrated the influence exerted by body composition, the autonomic nervous system, and age in the prediction of VO 2max.

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mentioning

confidence: 99%

Heart Rate Variability and Body Composition as Vo2max Determinants

León-Ariza

Botero‐Rosas

Zea-Robles

2017

Rev Bras Med Esporte

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“…The results of this study indicated that the newly formulated regression equation, based on nonexercise variables of age, body mass, and resting heart Advances in Social Science, Education and Humanities Research, volume 574 rate, can significantly predict aerobic endurance (VO2max prediction) (Rexhepi & Brestovci, 2014). The current situation of Covid-19 pandemic makes it impossible to carry out activities involving many people.…”

Section: Resultsmentioning

confidence: 93%

The Physical Fitness Measurement Tests During the Covid-19 Pandemic

Rahayu¹,

Soegiyanto²,

Setiawan³

et al. 2022

Proceedings of the 6th International Conference on Science, Education and Technology (ISET 2020)

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This study aims to analyze the various physical fitness measurement tests that exist in order to determine the effective and efficient physical fitness measurement tests to assess the physical fitness during the COVID-19 pandemic. This research is a literature study. The data obtained was compiled and analyzed to obtain conclusions. The results showed that VO2max is an indicator of physical fitness that can be measured using three variables, namely age, weight, and heart rate. These three variables significantly (p = 0,000) can predict VO2max as a measure of one's physical fitness. The conclusion of this study is that the effective and efficient physical fitness tests which can be carried out independently during the Covid-19 pandemic is using the formula VO2 max = 3,542+ (-0,014 x Age {Year}) + (0.015 x Body Mass [kg]) + (-0.011x Resting Heart Rate/Sec).

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“…The used formula for VO 2max in the others is based on age, body mass, and RHR. Nevertheless, it can be considered an appropriate estimation in case of missing exercise tests [ 22 ].…”

Section: Discussionmentioning

confidence: 99%

“…Maximal aerobic capacity (VO 2max ) by spiroergometry was extracted if available. If not, it was estimated by the equation of Rexhepi and Brestoci [ 22 ]. Furthermore, data from sports performance tests with incremental exercise tests on running or cycle ergometer were considered: RHR, heart rates (HF), lactate, and power, respectively, and speed were extracted for analysis.…”

Section: Methodsmentioning

confidence: 99%

Associations of Blood and Performance Parameters with Signs of Periodontal Inflammation in Young Elite Athletes—An Explorative Study

Merle

Richter

Challakh

et al. 2022

JCM

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This retrospective cross-sectional study aimed to explore interactions between signs of periodontal inflammation and systemic parameters in athletes. Members of German squads with available data on sports medical and oral examination were included. Groups were divided by gingival inflammation (median of papillary bleeding index, PBI ≥ median) and signs of periodontitis (Periodontal Screening Index, PSI ≥ 3). Age, gender, anthropometry, blood parameters, echocardiography, sports performance on ergometer, and maximal aerobic capacity (VO2max) were evaluated. Eighty-five athletes (f = 51%, 20.6 ± 3.5 years) were included (PBI < 0.42: 45%; PSI ≥ 3: 38%). Most associations were not statistically significant. Significant group differences were found for body fat percentage and body mass index. All blood parameters were in reference ranges. Minor differences in hematocrit, hemoglobin, basophils, erythrocyte sedimentation rates, urea, and HDL cholesterol were found for PBI, in uric acid for PSI. Echocardiographic parameters (n = 40) did not show any associations. Athletes with PSI ≥ 3 had lower VO2max values (55.9 ± 6.7 mL/min/kg vs. 59.3 ± 7.0 mL/min/kg; p = 0.03). In exercise tests (n = 30), athletes with PBI < 0.42 achieved higher relative maximal load on the cycling ergometer (5.0 ± 0.5 W/kg vs. 4.4 ± 0.3 W/kg; p = 0.03). Despite the limitations of this study, potential associations between signs of periodontal inflammation and body composition, blood parameters, and performance were identified. Further studies on the systemic impact of oral inflammation in athletes, especially regarding performance, are necessary.

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Prediction of VO<sub>2</sub>max based on age, body mass, and resting heart rate

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

Cited by 17 publications

References 7 publications

Heart Rate Variability and Body Composition as Vo2max Determinants

Heart Rate Variability and Body Composition as Vo2max Determinants

The Physical Fitness Measurement Tests During the Covid-19 Pandemic

Associations of Blood and Performance Parameters with Signs of Periodontal Inflammation in Young Elite Athletes—An Explorative Study

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