Predictive equations for basal metabolic rate in Chinese adults: a cross-validation study

Area of Science:

• Metabolism and Nutrition
• Human Physiology

Background:

• Basal Metabolic Rate (BMR) is a key indicator of energy expenditure.
• Accurate BMR prediction is essential for nutritional assessment and management.
• Existing BMR prediction equations may not be suitable for diverse ethnic populations.

Purpose of the Study:

• To develop and validate new predictive equations for BMR in healthy Chinese adults.
• To identify factors influencing BMR in this demographic.

Main Methods:

• Indirect calorimetry was used to measure BMR in 223 healthy Chinese adults (ages 20-78).
• Body composition was assessed using skinfold thickness, bioelectrical impedance, and urinary creatinine.
• Statistical analyses included t-tests, correlation, and regression analyses.

Main Results:

• A novel predictive equation for BMR was developed: BMR = 13.88 x weight (kg) + 4.16 x height (cm) - 3.43 x age (years) - 112.40 x sex (men = 0; women = 1) + 54.34.
• Men exhibited higher BMR than women due to greater fat-free mass and muscle mass.
• BMR showed the strongest correlation with body composition, which was closely related to anthropometric measurements.

Conclusions:

• The newly developed equations provide a more accurate prediction of BMR for Chinese adults compared to existing methods.
• These equations are recommended for clinical application in healthy Chinese adults within normal weight ranges.
• Accurate anthropometric measurements (weight and height) are vital for precise BMR prediction.