Abstract:This paper contains a revision of the Harris–Benedict equations through the development and validation of new equations for the estimation of resting metabolic rate (RMR) in normal, overweight, and obese adult subjects, taking into account the same anthropometric parameters. A total of 722 adult Caucasian subjects were enrolled in this analysis. After taking a detailed medical history, the study enrolled non-hospitalized subjects with medically and nutritionally controlled diseases such as diabetes mellitus, c… Show more
“…HIIT can increase VO 2 max, HIIT can increase Akt (Ser473), IRS (Tyr612) phosphorylation in skeletal muscle, and increase the protein content of β-HAD and COX-IV which can have an effect on increasing oxidative metabolism (Matos et al, 2018). HIIT training can increase basal metabolism (BMR) which can occur when the body is at rest after exercising (Pavlidou et al, 2023). This can happen because HIIT causes an increase in the EPOC (excess post exercise oxygen consumption) process, namely the process of increasing oxygen consumption which remains high even though the exercise has been completed (Valstad et al, 2017) When the body's metabolism increases, oxygen demand will also increase.…”
This research was carried out to find out the effect of training using the High Intensity Interval Training (HIIT) model on increasing VO2 Max in white water rafting athletes. This research design is an experimental pre-post design. This research used 28 white water rafting athletes, consisting of 16 male athletes and 12 female athletes. The athlete's age range is 16-22 years. All research subjects were in healthy condition. All subjects were given the same treatment, namely training using the HIIT model. Intervention with HIIT cardio training. The HIIT training model uses an intensity of 90-100% of Maximal Heart Rate (MHR). HIIT is done with a ratio of 30 seconds of exercise then 3 minutes of rest. Exercise uses an intensity of 90% MHR in the first week and will be increased every week until it reaches 100% MHR. Exercises were carried out for 6 weeks with a frequency of 4x per week. VO2 Max measurements are carried out using a multistage test instrument. In this research, it can be seen that HIIT exercise carried out for 6 weeks with a frequency of 4 times per week can increase athletes' VO2 Max. There is a significant difference in VO2 Max between male and female athletes with a difference test result of P < 0.05. Exercise using the HIIT model which is carried out for 6 weeks with a frequency of 4x a week can increase the VO2 Max of white water rafting athletes. HIIT training can be used as a recommendation to increase VO2 Max for white water rafting athletes.
“…HIIT can increase VO 2 max, HIIT can increase Akt (Ser473), IRS (Tyr612) phosphorylation in skeletal muscle, and increase the protein content of β-HAD and COX-IV which can have an effect on increasing oxidative metabolism (Matos et al, 2018). HIIT training can increase basal metabolism (BMR) which can occur when the body is at rest after exercising (Pavlidou et al, 2023). This can happen because HIIT causes an increase in the EPOC (excess post exercise oxygen consumption) process, namely the process of increasing oxygen consumption which remains high even though the exercise has been completed (Valstad et al, 2017) When the body's metabolism increases, oxygen demand will also increase.…”
This research was carried out to find out the effect of training using the High Intensity Interval Training (HIIT) model on increasing VO2 Max in white water rafting athletes. This research design is an experimental pre-post design. This research used 28 white water rafting athletes, consisting of 16 male athletes and 12 female athletes. The athlete's age range is 16-22 years. All research subjects were in healthy condition. All subjects were given the same treatment, namely training using the HIIT model. Intervention with HIIT cardio training. The HIIT training model uses an intensity of 90-100% of Maximal Heart Rate (MHR). HIIT is done with a ratio of 30 seconds of exercise then 3 minutes of rest. Exercise uses an intensity of 90% MHR in the first week and will be increased every week until it reaches 100% MHR. Exercises were carried out for 6 weeks with a frequency of 4x per week. VO2 Max measurements are carried out using a multistage test instrument. In this research, it can be seen that HIIT exercise carried out for 6 weeks with a frequency of 4 times per week can increase athletes' VO2 Max. There is a significant difference in VO2 Max between male and female athletes with a difference test result of P < 0.05. Exercise using the HIIT model which is carried out for 6 weeks with a frequency of 4x a week can increase the VO2 Max of white water rafting athletes. HIIT training can be used as a recommendation to increase VO2 Max for white water rafting athletes.
“…Furthermore, there is an observed augmentation in dermal vessels in the nonobese lipedema group when contrasted with the obese group [31]. Additionally, particular authors strongly advocate for the development of new resting metabolic rate prediction equations that extend beyond the Caucasian race, considering different anthropometric characteristics, genetic backgrounds, lifestyle factors, and nutritional habits in diverse populations [10].…”
Background: This study aimed to develop a novel predictive equation for calculating resting metabolic rate (RMR) in women with lipedema. Methods: We recruited 119 women diagnosed with lipedema from the Angiology Outpatient Clinic at Wroclaw Medical University, Poland. RMR was assessed using indirect calorimetry, while body composition and anthropometric measurements were conducted using standardized protocols. Due to multicollinearity among predictors, classical multiple regression was deemed inadequate for developing the new equation. Therefore, we employed machine learning techniques, utilizing principal component analysis (PCA) for dimensionality reduction and predictor selection. Regression models, including support vector regression (SVR), random forest regression (RFR), and k-nearest neighbor (kNN) were evaluated in Python’s scikit-learn framework, with hyperparameter tuning via GridSearchCV. Model performance was assessed through mean absolute percentage error (MAPE) and cross-validation, complemented by Bland–Altman plots for method comparison. Results: A novel equation incorporating body composition parameters was developed, addressing a gap in accurate RMR prediction methods. By incorporating measurements of body circumference and body composition parameters alongside traditional predictors, the model’s accuracy was improved. The segmented regression model outperformed others, achieving an MAPE of 10.78%. Conclusion: The proposed predictive equation for RMR offers a practical tool for personalized treatment planning in patients with lipedema.
“…Patients' basal metabolic rate was used to determine diet composition patients' basal metabolic rate using the Harris-Benedict formula Typically, the Harris-Benedict formula uctuates between 1200-1700 Kcal/day. At the same time, it is xed for the fasting days of 5+2 at 600kcal/day for men and 500kcal/day for women [ 14 ]. Based on these considerations, the dietary composition for the 5+2 intervention, which represents ve days of energy restriction and two days of light fasting, was 15-20% protein, 40-55% carbohydrate, and 20-30% fat.…”
Objective
The objective of this probe is to determine the effects of High-Protein Diets (HPD) on weight loss programs.
Methodology
From January 2021 to May 2022, 133 patients, who were enrolled in a Chinese-based weight loss program, participated in a clinical trial aimed at investigating the impact of High-Protein Diets (HPD) on weight loss programs. The effects of the diet plan on the patients’ insulin, hemoglobin, and Vitamin D levels were assessed and the findings examined to evaluate the impact of HPD on muscle and skeletal mass.
Results and Findings
HPD was useful in catalyzing the effectiveness of weight loss programs. It led to reductions in skeletal and muscle mass during the trial period based on its impact on insulin, hemoglobin, and Vitamin D levels among the trial population..
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