The study by Potter et al. (2023) aims to redefine the thresholds for overweight and obesity using percent body fat (%BF) instead of body mass index (BMI). The authors argue that BMI is a poor surrogate marker for actual adiposity and that modern technologies can provide more accurate estimates of %BF. They use data from the National Health and Nutrition Examination Survey (NHANES) to determine %BF thresholds based on metabolic syndrome (MetSyn), a key obesity-related comorbidity. The results show that for men, "overweight" is defined as 25% BF and "obesity" as 30% BF, while for women, these thresholds are 36% and 42% BF, respectively. These thresholds are compared to existing BMI-based definitions of overweight and obesity, highlighting the wide range of variability in BMI prediction of %BF. The study concludes that practical methods of body composition estimation can replace BMI assessment for obesity management, using threshold values derived from this study. The findings suggest that %BF metrics may be more clinically relevant markers for metabolic health across the general population than BMI.The study by Potter et al. (2023) aims to redefine the thresholds for overweight and obesity using percent body fat (%BF) instead of body mass index (BMI). The authors argue that BMI is a poor surrogate marker for actual adiposity and that modern technologies can provide more accurate estimates of %BF. They use data from the National Health and Nutrition Examination Survey (NHANES) to determine %BF thresholds based on metabolic syndrome (MetSyn), a key obesity-related comorbidity. The results show that for men, "overweight" is defined as 25% BF and "obesity" as 30% BF, while for women, these thresholds are 36% and 42% BF, respectively. These thresholds are compared to existing BMI-based definitions of overweight and obesity, highlighting the wide range of variability in BMI prediction of %BF. The study concludes that practical methods of body composition estimation can replace BMI assessment for obesity management, using threshold values derived from this study. The findings suggest that %BF metrics may be more clinically relevant markers for metabolic health across the general population than BMI.