Key result
A prediction equation using body mass, resting heart rate, age, gender, and systolic blood pressure strongly correlated with directly measured peak oxygen pulse (r = 0.89, p < 0.001).
Why the study?
Direct measurement of peak oxygen pulse requires precise instruments under professional guidance and maximal exhaustion, creating a need to estimate it from routine measures.
Does a prediction equation based on routine anthropometric and cardiovascular measures accurately estimate peak oxygen pulse in healthy Chinese adults aged 20-39?
Cross-Sectional (n=252)
Randomly allocated to validation and cross-validation groups
Does a prediction equation based on routine anthropometric and cardiovascular measures accurately estimate peak oxygen pulse in healthy Chinese adults aged 20-39?
Effect estimate: r = 0.89
p-value: p=< 0.001
A novel prediction equation using routine clinical measures can accurately estimate peak oxygen pulse in healthy young Chinese adults, providing a simpler alternative to maximal exercise testing.
May aid noninvasive O2Ppeak estimation in young Chinese adults; leaves open prospective validation before clinical use.
Background Peak oxygen pulse (O 2 P peak ) can reflect the condition of cardiovascular function and provide supplementary information for maximal oxygen uptake, but its direct measurement requires the precise instruments under the guidance of professionals, and the subjects should strive to the state of exhaustion. Objectives The aim of the present cross-sectional study was to establish a prediction equation to estimate O 2 P peak of Chinese adults aged 20–39, from routine measures of anthropometry and cardiovascular function. Methods 252 adults (20–39 years old) were recruited and randomly allocated to the validation group (n = 226) and the cross-validation group (n = 26). To be included in the study, subjects were required to be healthy, none-professional sports experience (healthy individuals who are not athletes or have had experience as athletes), and no medication taken recently. Subjects with cardiovascular diseases, lung disease and musculoskeletal diseases were excluded. The subjects' anthropometric and cardiovascular variables were measured and each subject performed a maximal exercise test on an electromagnetic cycle ergometer. Results The O 2 P peak estimated equation was developed using multiple linear regression models, O 2 P peak = 30.394 + 0.083 x body mass (kg) - 0.090 x resting heart rate (bpm) - 0.157 x age (years) - 2.710 x gender (1 = male, 2 = female) - 0.035 x systolic blood pressure (mmHg). The equation had the coefficient of determination (R 2 ) = 0.804 and the standard error of estimate (SEE) = 1.619 ml/beat. An ANOVA and Akaike's information criterion (AIC) were tested. Bland-Altman graphs were plotted to examine the distribution of bias. Cross-validation estimated O 2 P peak and directly measured O 2 P peak did not show significant difference while had a strong positive correlation (r = 0.89, p < 0.001). Conclusions The established equation has high effectiveness and reliability to predict O 2 P peak of adults aged 20–39.
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Yan et al. (2023) conducted a cross-sectional in Healthy adults (n=252). Prediction equation using body mass, resting heart rate, age, gender, and systolic blood pressure vs. Directly measured peak oxygen pulse was evaluated on Correlation between estimated and directly measured peak oxygen pulse (O2Ppeak) (r = 0.89, p=< 0.001). A prediction equation using body mass, resting heart rate, age, gender, and systolic blood pressure strongly correlated with directly measured peak oxygen pulse (r = 0.89, p < 0.001).
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