Summary
- A total of 324 participants (94 males and 230 females) between 18 and 32 years old were included in the analysis.
- Majority of the participants were normal weight, with a small percentage of smokers and drinkers.
- Resting metabolic rate (RMR) was higher in males compared to females, and positively correlated with BMI.
- New predictive equations for RMR were developed, taking into account variables such as daily sun exposure and physical activity.
- The newly developed predictive equations showed the highest accuracy rates and agreement when compared to other existing equations for predicting RMR.
A recent study conducted on a group of 324 individuals (94 males and 230 females) between the ages of 18 and 32 has provided valuable insights into factors affecting resting metabolic rate (RMR). The study found that men have higher RMR when compared to women, with RMR positively correlated with body mass index (BMI). Interestingly, RMR decreased as BMI increased when normalized by body weight, but this association was not significant after adjusting for fat-free mass (FFM).
Researchers also developed new predictive equations to estimate RMR using variables such as height, weight, body composition, daily sun exposure duration, and dietary habits like tea and cola consumption. Two separate models were created to account for weight and body composition parameters, with the models explaining a significant portion of the variability in RMR.
When comparing the newly developed predictive equations to existing ones, the study found that the new formulas showed the lowest root mean square error (RMSE) and highest intra-class correlation coefficient (ICC), indicating better accuracy in predicting RMR. In fact, the new equations had the highest percentage of accurate predictions within ± 10% of the measured RMR.
Overall, these findings suggest that the new predictive equations offer a more precise estimation of RMR compared to existing methods. This research provides valuable information on how various factors such as body composition and lifestyle habits can influence metabolic rate, which is important for understanding energy expenditure and maintaining overall health.
Source link
Endocrinology, Nutrition, Physiology