Abstract
Abstract Carbohydrate metabolism can provide energy for human exercise. However, different exercise intensities will consume different amounts of energy. For this reason, the paper uses a fractional linear regression equation to study the characteristics of carbohydrate metabolism and energy consumption of other groups of human beings with the same oxygen consumption during exercise. In addition, the thesis measures energy consumption during exercise and body recovery by analyzing gas metabolism methods. As a result, we found that the sugar, fat metabolism, and energy consumption of heavier volunteers under the same exercise intensity were lower than those of regular weight volunteers. Thus, the fractional linear regression method can help us analyze the relationship between glucose metabolism and exercise energy.
Highlights
Obesity has become a global social problem
Some scholars have proposed that high-intensity interval exercise training (HIIT) can increase a person’s maximum oxygen uptake level
In the primary effect analysis, it was found that body weight has a significant effect on sugar and total energy consumption but has no significant impact on the ratio of fat and substrate metabolism
Summary
Obesity has become a global social problem. Cardiovascular and cerebrovascular diseases and diabetesrelated to obesity endanger human health. Prolonged aerobic exercise can reduce the risk of metabolic diseases, improve cardiorespiratory function and maintain weight. How to achieve rapid weight loss and health promotion by changing the intensity and method of exercise needs further research [1]. Some scholars have proposed that high-intensity interval exercise training (HIIT) can increase a person’s maximum oxygen uptake level doi:10.2478/amns.2021.2.00026. Gao et al Applied Mathematics and Nonlinear Sciences (aop) 1–9
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