The article discusses the historical development and current validity of equations used to predict basal metabolic rate (BMR) in humans. Schofield et al. developed predictive equations for BMR in different age groups based on data from 1981, which were used in the 1985 FAO/WHO/UNU document. However, recent studies suggest that these equations overestimate BMR in many communities, particularly in tropical regions. The Schofield database contained a disproportionate number of Italian subjects, which may have influenced the equations. To address this, a new set of equations, the Oxford equations, were developed using a larger and more diverse dataset, including a significant number of tropical subjects. The Oxford equations produce lower BMR values than the FAO/WHO/UNU equations in certain age groups. The article highlights the importance of using more representative data to accurately predict BMR and energy requirements. It also notes that the FAO/WHO/UNU equations may overestimate BMR in many populations, including Asian and Chinese subjects. The study emphasizes the need for a more diverse and representative database to improve the accuracy of BMR predictions. The Oxford equations are recommended for use in future studies due to their improved accuracy and broader representation of global populations. The article concludes that the role of BMR in estimating energy requirements is critical, and the use of more accurate equations is essential for proper nutritional planning.The article discusses the historical development and current validity of equations used to predict basal metabolic rate (BMR) in humans. Schofield et al. developed predictive equations for BMR in different age groups based on data from 1981, which were used in the 1985 FAO/WHO/UNU document. However, recent studies suggest that these equations overestimate BMR in many communities, particularly in tropical regions. The Schofield database contained a disproportionate number of Italian subjects, which may have influenced the equations. To address this, a new set of equations, the Oxford equations, were developed using a larger and more diverse dataset, including a significant number of tropical subjects. The Oxford equations produce lower BMR values than the FAO/WHO/UNU equations in certain age groups. The article highlights the importance of using more representative data to accurately predict BMR and energy requirements. It also notes that the FAO/WHO/UNU equations may overestimate BMR in many populations, including Asian and Chinese subjects. The study emphasizes the need for a more diverse and representative database to improve the accuracy of BMR predictions. The Oxford equations are recommended for use in future studies due to their improved accuracy and broader representation of global populations. The article concludes that the role of BMR in estimating energy requirements is critical, and the use of more accurate equations is essential for proper nutritional planning.