Predicting maximal oxygen uptake in a generalized population

Lorenzo, Irma Sosa; Filho, Dalton Müller Pessôa; Peinado, Ana B.; Peinado, Pedro José Benito; Calderón, Francisco J.

doi:10.23736/s0025-7826.16.02911-2

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“… expressed in relative units (mL kg −1 min −1 ) is negatively related with weight 20 , whereas expressed in absolute units (L min −1 ) is positively related with weight 34 . Adding the weight parameter to regression models can enhance the power of predicting 31 , 35 .…”

Section: Discussionmentioning

confidence: 99%

Feasibility of predicting maximal oxygen uptake by using the efficiency factor in healthy men

Li,

Tu,

Yeh

et al. 2023

Sci Rep

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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 ($${\dot{\text{V}}\text{O}}_{2\max }$$ 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 $${\dot{\text{V}}\text{O}}_{2\max }$$ 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 $${\dot{\text{V}}\text{O}}_{2\max }$$ V ˙ O 2 max . Among the models, the PBF modelEF6 showed the highest accuracy, which could explain 62.6% of the variance in the $${\dot{\text{V}}\text{O}}_{2\max }$$ 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 $${\dot{\text{V}}\text{O}}_{2\max }$$ V ˙ O 2 max , and compared to the other models, the PBF modelEF6 is the best model for estimating $${\dot{\text{V}}\text{O}}_{2\max }$$ V ˙ O 2 max .

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