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BMI is a screening tool for overweight and obesity (see the following table). BMI is calculated as a person’s body weight (in kilograms) divided by the square of their height (in meters).
Furthermore, a person’s ethnicity affects weight-associated health risks. For instance, Asian American patients are considered to have obesity at a BMI of 27. Additionally, compared with non-Hispanic White adults of the same age and the same BMI, non-Hispanic Black adults had less adipose tissue whereas Mexican American adults had more adipose tissue (GSA, 2024; Heymsfield et al., 2016). Inconsistencies across races and ethnicities are also seen in the correlation of waist circumference to BMI (GSA, 2024; Garvey et al., 2016). Thus, BMI may be used as a screening tool, but a more thorough clinical assessment should be used as part of the individual evaluation (Rubino et al., 2025).
John A. Batsis, MD, FACP, AGSF, FTOS, FGSA, Associate Professor, School of Medicine (Geriatric Medicine), Gillings School of Global Public Health (Nutrition)
There’s been a wealth of data to demonstrate that the newer incretin memetic medications... demonstrate reductions in risk of cardiovascular disease, kidney disease, cancer, sleep apnea, and a number of different diseases.
In 2023, the American Medical Association (AMA) released a policy that qualifies the use of BMI in clinical practice (Berg, 2023). This policy states that BMI has significant limitations, including that it does not directly measure body fat levels and that other factors confound the interpretation of BMI and its impact on morbidity and mortality. The policy notes that heterogeneity of body shape and composition across race and ethnic groups, sexes, genders, and age span should be considered when interpreting BMI data. It states that BMI should be measured along with other valid measures of risk, including but not limited to waist circumference, percent body fat, and genetic or metabolic factors.
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