Key result
The PBF modelEF6, incorporating weight, percent body fat, heart rate reserve, and efficiency factor at stage 6, was the most accurate model for estimating VO2max, explaining 62.6% of the variance with a standard error of estimate of 4.39 mL kg-1 min-1.
Why the study?
Conventionally estimating efficiency via respiratory gas analysis is complex, costly, and difficult to perform in many situations.
Cross-Sectional (n=150)
Effect estimate: R2 = 0.626
p-value: p=<0.001
The efficiency factor (EF) derived from submaximal stages of cardiopulmonary exercise testing is a valid predictor of maximal oxygen uptake in healthy men, with the PBF modelEF6 providing the highest accuracy.
This is the authors' abstract. We don't add key points for this paper.
Conventionally, efficiency is indirectly estimated through a respiratory gas analyser (oxygen, carbon dioxide), which is a complex and rather costly calculation method that is difficult to perform in many situations. Therefore, the present study proposed a modified definition of efficiency, called the efficiency factor (EF) (i.e., the ratio of work to the corresponding exercise intensity), and evaluated the relation between the EF and maximal oxygen uptake ( V̇O₂ₘₐₓ V ˙ O 2 max ), as well as compared the prediction models established based on the EF. The heart rate (maximal heart rate: 186 ± 6 beats min−1), rating of perceived exertion (19 ± 1), and V̇O₂ₘₐₓ V ˙ O 2 max (39.0 ± 7.1 mL kg−1 min−1) of 150 healthy men (age: 20 ± 2 years; height: 175.0 ± 6.0 cm; weight: 73.6 ± 10.7 kg; body mass index [BMI]: 24.0 ± 3.0 kg m−2; percent body fat [PBF]: 17.0 ± 5.7%) were measured during the cardiopulmonary exercise test (CPET). Through multiple linear regression analysis, we established the BMI model using age and BMI as parameters. Additionally, we created the PBF modelHRR utilizing weight, PBF, and heart rate reserve (HRR) and developed PBF modelEF6 and PBF modelEF7 by incorporating EF6 from the exercise stage 6 and EF7 from the exercise stage 7 during the CPET, respectively. EF6 (r = 0.32, p = 0.001) and EF7 (r = 0.31, p = 0.002) were significantly related to V̇O₂ₘₐₓ V ˙ O 2 max . Among the models, the PBF modelEF6 showed the highest accuracy, which could explain 62.6% of the variance in the V̇O₂ₘₐₓ V ˙ O 2 max at with a standard error of estimate (SEE) of 4.39 mL kg−1 min−1 (%SEE = 11.25%, p < 0.001). These results indicated that the EF is a significant predictor of V̇O₂ₘₐₓ V ˙ O 2 max , and compared to the other models, the PBF modelEF6 is the best model for estimating V̇O₂ₘₐₓ V ˙ O 2 max .
EF simplifies efficiency estimation without gas analysis; leaves open validation against VO2max before clinical use.
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Li et al. (2023) conducted a cross-sectional in Healthy men (n=150). Efficiency factor (EF) during cardiopulmonary exercise test vs. Standard prediction models (BMI model, PBF modelHRR) was evaluated on Accuracy of predicting maximal oxygen uptake (VO2max) (R2 = 0.626, p=<0.001). The PBF modelEF6, incorporating weight, percent body fat, heart rate reserve, and efficiency factor at stage 6, was the most accurate model for estimating VO2max, explaining 62.6% of the variance with a standard error of estimate of 4.39 mL kg-1 min-1.
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