Is the Ventilatory Efficiency in Endurance Athletes Different?—Findings from the NOODLE Study

Journal of Clinical Medicine, Journal Year: 2024, Volume and Issue: 13(2), P. 490 - 490

Published: Jan. 16, 2024

Background: Ventilatory efficiency (VE/VCO2) is a strong predictor of cardiovascular diseases and defines individuals’ responses to exercise. Its characteristics among endurance athletes (EA) remain understudied. In cohort EA, we aimed (1) investigate the relationship between different methods calculation VE/VCO2 (2) externally validate prediction equations for VE/VCO2. Methods: total, 140 EA (55% males; age = 22.7 ± 4.6 yrs; BMI 22.6 1.7 kg·m−2; peak oxygen uptake 3.86 0.82 L·min−1) underwent an effort-limited cycling cardiopulmonary exercise test. was first calculated ventilatory threshold (VE/VCO2-slope), as lowest 30-s average (VE/VCO2-Nadir) from whole exercises (VE/VCO2-Total). Twelve VE/VCO2-slope were validated. Results: higher in females than males (27.7 2.6 vs. 26.1 2.0, p < 0.001). Measuring differed significantly females. increased with independently its type or sex (β 0.066–0.127). Eleven underestimated (from −0.5 −3.6). One equation overestimated (+0.2). Predicted observed measurements nine models. Models explained low amount variance (R2 0.003–0.031). Conclusions: VE/VCO2-slope, VE/VCO2-Nadir, VE/VCO2-Total EA. Prediction inaccurate Physicians should be acknowledged properly assess cardiorespiratory fitness

Language: Английский

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Below or all the way to the peak? Oxygen uptake efficiency slope as the index of cardiorespiratory response to exercise—the NOODLE study

Frontiers in Physiology, Journal Year: 2024, Volume and Issue: 15

Published: Jan. 26, 2024

Background: The ratio of oxygen uptake (VO 2 ) to minute ventilation (VE) is described as the efficiency slope (OUES). OUES has been suggested a valuable submaximal cardiorespiratory index; however, its characteristics in endurance athletes remain unknown. In this study, we a) investigated between different time intervals, b) assessed their prediction power for VO peak, and c) derived new equations tailored well-trained individuals. Materials Methods: A total 77 male (age = 21.4 ± 4.8 yrs; BMI 22.1 1.6 kg·m −2 ; peak 4.40 0.64 L·min −1 63 female individuals 23.4 4.3 23.1 3.21 0.48 underwent cycling cardiopulmonary exercise test. was measured at 75%, 90%, 100% duration. Prediction models were with multiple linear regression method. Results: subjects, [mL·min /L·min ] from 75% 4.53 0.90, 90% 4.52 0.91, 4.41 0.87. 3.50 0.65, 3.49 0.62, 3.41 0.58. did not differ intervals ( p 0.65) 0.69). strongly predicts independently measuring interval β 0.71–0.80; R 0.50–0.63). model designed elite −1.54 + 2.99; BSA [m ]—0.0014; [in years]; sex [1 male, female]) 0.36). Conclusion: enables an accurate fitness athletes. feasible alternative maximal testing. equation should be used highly trained Physicians understand physiology properly assess response athletic cohorts.

Language: Английский

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Predictive Value of Cardiopulmonary Exercise Testing Parameters in Patients under Percutaneous Coronary Intervention with High Pulse Pressure

Reviews in Cardiovascular Medicine, Journal Year: 2025, Volume and Issue: 26(2)

Published: Feb. 18, 2025

Background: The correlation between cardiopulmonary exercise testing (CPET) parameters and the prognosis of patients undergoing percutaneous coronary intervention (PCI) with high pulse pressure (PP) is unclear. purpose present study to investigate CPET in under PCI PP assess their reference value for prognosis. Methods: Individuals aged 18 years older who were diagnosed artery disease (CAD) underwent along from November 1, 2015 September 30, 2021 enrolled. categorized into two groups based on PP: group (PP males ≥50 mmHg; females ≥60 mmHg) normal <50 <60 mmHg). primary endpoint was major adverse cardiovascular events (MACE). optimal predictors MACE identified through Cox regression analysis. time-dependent receiver operating characteristic (ROC) curves generated area ROC curve (AUC) measured evaluate discriminatory ability PP. Results: A total 2785 included study, a median follow-up period 1215 (687–1586) days. Through multifactorial analysis, it determined that peak oxygen uptake (peak VO2, hazard ratio (HR): 0.94, 95% confidence interval (95% CI): 0.88 1.00, p = 0.038) ventilatory equivalent carbon dioxide (VE/VCO2, HR: 1.08, CI: 1.02 1.15, 0.007) are important predictive factors CPET. diabetes mellitus (DM), smoking, VE/VCO2 could effectively [1-year AUC: 0.636 (0.515~0.758), 3-year 0.675 (0.599~0.752), 5-year 0.718 (0.607~0.830)]. Conclusions: CAD worse compared VO2

Language: Английский

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Oxygen uptake efficiency plateau is unaffected by fitness level - the NOODLE study

BMC Sports Science Medicine and Rehabilitation, Journal Year: 2024, Volume and Issue: 16(1)

Published: July 10, 2024

Abstract Background Endurance athletes (EA) are an emerging population of focus for cardiovascular health. The oxygen uptake efficiency plateau (OUEP) is the levelling-off period ratio between (VO 2 ) and ventilation (VE). In cohort EA, we externally validated prediction models OUEP derived with internal validation a new equation. Methods 140 EA underwent medical assessment maximal cycling cardiopulmonary exercise test. Participants were 55% male ( N = 77, age 21.4 ± 4.8 years, BMI 22.6 1.7 kg·m − , peak VO 4.40 0.64 L·min 1 45% female 63, 23.4 4.3 22.1 1.6 3.21 0.48 ). was defined as highest 90-second continuous value VE. We used multivariable stepwise linear regression to develop equation OUEP. Results 44.2 4.2 mL·L 41.0 males females, respectively. external validation, comparable directly measured did not differ significantly. error 0.42 (0.94%, p 0.39), females + 0.33 (0.81%, 0.59). developed was: 61.37–0.12·height (in cm) 5.08 (for males). model outperformed previous. However, explained up 12.9% variance R 0.377, 0.129, RMSE 4.39 Conclusion stable transferable cardiorespiratory index. minimally affected by fitness level demographic factors. predicted provided promising but limited accuracy among EA. tailored could be stratify response guide training.

Language: Английский

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Urban cyclists’ perception of risk using body and environmental monitoring

Proceedings of the Institution of Civil Engineers - Municipal Engineer, Journal Year: 2024, Volume and Issue: 177(4), P. 208 - 216

Published: Aug. 7, 2024

There is limited information on the influence of environmental and behavioural factors cyclists’ risk perception. This study gives insights into shaping perception risk. Twenty-six cyclists were assessed for their psychological distress previous cycling experience, following which heart rate was monitored while along a variety urban routes. The findings are that through commercial areas, one-way routes, routes with speed limits reduced perceived However, wider bikeways associated an increased rate. implied both individual characteristics significantly Both well-being infrastructure should be considered in order to promote cycling. Risk serves as indicator guide development facilities, enabling planners policymakers healthier, more sustainable cities effective promotion commuting.

Language: Английский

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Assessment of Maximum Heart Rate Prediction Equations in Adults at Low and High Risk of Cardiovascular Disease

Medicine & Science in Sports & Exercise, Journal Year: 2024, Volume and Issue: 57(1), P. 60 - 69

Published: Aug. 20, 2024

Maximum heart rate (HRmax) is commonly used to estimate exercise intensity. Since direct measurement of HRmax not always practical, prediction equations were developed. However, most have been properly validated in adults at low and high risk cardiovascular disease (CVD). We sought to: 1) assess the accuracy predict among CVD and, 2) determine if SuperLearner (SL) modeling combining base machine algorithms could improve prediction.

Language: Английский

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Oxygen uptake efficiency plateau is unaffected by fitness level - the NOODLE Study

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: June 17, 2024

Background Endurance athletes (EA) are an emerging population of focus for cardiovascular health. The oxygen uptake efficiency plateau (OUEP) is the levelling-off period ratio between (VO₂) and ventilation (VE). In cohort EA, we externally validated prediction models OUEP derived with internal validation a new equation. Methods 140 EA underwent medical assessment maximal cycling cardiopulmonary exercise test. Participants were 55% male (N=77, age=21.4±4.8 years, BMI=22.6±1.7 kg·m⁻², peak VO₂=4.40±0.64 L·min⁻¹) 45% female (N=63, age=23.4±4.3 BMI=22.1±1.6 VO₂=3.21±0.48 L·min⁻¹). was defined as highest 90-second continuous value VO₂ VE. We used multivariable stepwise linear regression to develop equation OUEP. Results 44.2±4.2 mL·L⁻¹ 41.0±4.8 males females, respectively. external validation, comparable directly measured did not differ significantly. error –0.42 (0.94%, p=0.39), females +0.33 (0.81%, p=0.59). developed was: 61.37–0.12·height (in cm) + 5.08 (for males). model outperformed previous explained 12.9% variance (R= 0.377, R²= 0.129, RMSE= 4.39 mL·L⁻¹). Conclusion stable transferable cardiorespiratory index. minimally affected by fitness level. predicted provided promising but limited accuracy among EA. tailored could be stratify response guide training.

Language: Английский

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Oxygen uptake efficiency plateau is unaffected by fitness level - the NOODLE Study

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: June 28, 2024

Background Endurance athletes (EA) are an emerging population of focus for cardiovascular health. The oxygen uptake efficiency plateau (OUEP) is the levelling-off period ratio between (VO₂) and ventilation (VE). In cohort EA, we externally validated prediction models OUEP derived with internal validation a new equation. Methods 140 EA underwent medical assessment maximal cycling cardiopulmonary exercise test. Participants were 55% male (N = 77, age 21.4 ± 4.8 years, BMI 22.6 1.7 kg·m^{− 2}, peak VO₂ 4.40 0.64 L·min^{− 1}) 45% female 63, 23.4 4.3 22.1 1.6 3.21 0.48 1). was defined as highest 90-second continuous value VE. We used multivariable stepwise linear regression to develop equation OUEP. Results 44.2 4.2 mL·L^{− 1} 41.0 males females, respectively. external validation, comparable directly measured did not differ significantly. error − 0.42 (0.94%, p 0.39), females + 0.33 (0.81%, 0.59). developed was: 61.37–0.12·height (in cm) 5.08 (for males). model outperformed previous. However, explained up 12.9% variance (R 0.377, R² 0.129, RMSE 4.39 Conclusion stable transferable cardiorespiratory index. minimally affected by fitness level demographic factors. predicted provided promising but limited accuracy among EA. tailored could be stratify response guide training.

Language: Английский

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Identification of heart rate dynamics during treadmill and cycle ergometer exercise: the role of model zeros and dead time

F1000Research, Journal Year: 2024, Volume and Issue: 13, P. 894 - 894

Published: Nov. 1, 2024

The response of heart rate to changes in exercise intensity is comprised several dynamic modes with differing magnitudes and temporal characteristics. Investigations empirical identification models showed that second-order gave substantially significantly better model fidelity compared the first order case. In present work, we aimed reanalyse data from previous studies more closely consider effect including a zero pure delay model.

Language: Английский

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