However, on an individual level, BMI can be less accurate, and it is best used in conjunction with other data (e.g., body composition tests) in the full assessment of an individual’s weight status. Furthermore, it is a good tool for estimating risk for specific outcomes (e.g., mortality, cardiovascular disease, diabetes). As such, on a population level, BMI can approximate levels of adiposity to a useful degree. However, it is a tool based on large sample sizes and is primarily used as a risk prediction tool over large numbers of people. It is important to understand that BMI does not discriminate between fat mass and lean mass and does not directly address adiposity (i.e., body fat percentage). However, oftentimes these discussions fail to understand exactly what BMI is and how best to utilize it as a tool. Those with a BMI of 30 or higher have reported a roughly 2-fold increase in the risk of stroke (Kurth et al., 2002).īMI is often debated as not being a useful tool.
0 Comments
Leave a Reply. |