A recent study conducted by the University of Florida Health has shed light on the limitations of using body mass index (BMI) as a predictor of future health risks. The study, published in The Annals of Family Medicine, reveals that BMI fails to accurately assess the risk of future mortality, indicating that the calculation may be flawed.
According to the study, a more reliable method of measuring body fat is through bioelectrical impedance analysis, which uses a device to measure the resistance of body tissue to a small electrical current. This method provides a direct measure of body fat and has been found to be more accurate in predicting future health outcomes.
The research, which analyzed data from over 4,000 individuals, found that those with high body fat levels, as measured by bioelectric impedance, were 78% more likely to die of any cause and three-and-a-half times more likely to die of heart disease over a 15-year period. In contrast, BMI showed no significant association with mortality risk in the study.
Lead author of the study, Arch Mainous, Ph.D., emphasized the need for physicians to move away from using BMI as the standard measure of body composition. He described the study as a comparison between two methods of measuring body fat, with bioelectrical impedance analysis proving to be far superior to BMI.
The study’s senior author, Frank Orlando, M.D., highlighted the shortcomings of BMI, noting that it cannot distinguish between muscle and fat mass, leading to inaccurate assessments of body composition. He stressed the importance of using more accurate and reliable methods, such as bioelectrical impedance analysis, to assess body fat levels.
While some researchers have criticized bioelectrical impedance devices for not being as accurate as dual-energy X-ray absorptiometry (DEXA) scans, Mainous and Orlando argue that bioelectrical impedance analysis is a practical and cost-effective alternative to BMI. They urge healthcare providers to consider using this method in primary care settings to provide more accurate assessments of body fat.
Overall, the study’s findings suggest that BMI may not be the most reliable indicator of future health risks, and that alternative methods, such as bioelectrical impedance analysis, should be considered for more accurate assessments of body composition. This research highlights the need for healthcare providers to reevaluate the use of BMI as a standard measure of obesity and health risk.
