Body Fat Percentage May Be Better in Identifying Prediabetes and Diabetes
Obesity is viewed as a “major
risk factor for the development of prediabetes
and type 2 diabetes.” Body mass index or BMI is
probably the most frequently used measurement of
obesity. However, BMI is also viewed as an imperfect
measurement of excess body fat. Based on BMI, an
individual may appear to have a normal weight -- a
BMI < 25 -- but actually have a body fat
percentage (BF%) that raises the individual’s risk
for prediabetes and type 2 diabetes.
Therefore, accurate measurements of BF% are sought. One of the more accurate methods may be the air-displacement plethysmography, or ADP. Further, it appears that ADP for BF% may be better at identifying those with a high risk of prediabetes and diabetes.
Air-displacement plethysmography (ADP) is defined as “A technique for measuring body composition (body volume and percentage of body fat) that relies on the relative volume and pressure of gas displaced by the body when it is placed inside a plethysmograph.” A plethysmograph is “a device for measuring and recording changes in the volume of the body or of a body part or organ.”
One study looked at a total of 4,828 participants to determine the effectiveness of ADP in measuring body fat percentage for the diagnosis of diabetes and prediabetes. Three groups were created using BMI classifications for normal weight, overweight and obesity. These groups were described as follows: 587 lean participants, 1,320 overweight participants, and 2,921 obese participants.
The investigators concluded that there was “a higher than expected number of subjects with prediabetes or type 2 diabetes” in the lean and obese groups, using BF% cutoff points, than what would be expected using BMI cutoff points. The most often used cutoff points for BF% are as follows: overweight men, 20.1-24.9%; overweight women, 30.1-34.9%; obese men, >= 25% and obese women, >= 35%.
At any rate, BF% does a better job of identifying subjects with a high risk of prediabetes or type 2 diabetes than BMI.
Therefore, accurate measurements of BF% are sought. One of the more accurate methods may be the air-displacement plethysmography, or ADP. Further, it appears that ADP for BF% may be better at identifying those with a high risk of prediabetes and diabetes.
Air-displacement plethysmography (ADP) is defined as “A technique for measuring body composition (body volume and percentage of body fat) that relies on the relative volume and pressure of gas displaced by the body when it is placed inside a plethysmograph.” A plethysmograph is “a device for measuring and recording changes in the volume of the body or of a body part or organ.”
One study looked at a total of 4,828 participants to determine the effectiveness of ADP in measuring body fat percentage for the diagnosis of diabetes and prediabetes. Three groups were created using BMI classifications for normal weight, overweight and obesity. These groups were described as follows: 587 lean participants, 1,320 overweight participants, and 2,921 obese participants.
The investigators concluded that there was “a higher than expected number of subjects with prediabetes or type 2 diabetes” in the lean and obese groups, using BF% cutoff points, than what would be expected using BMI cutoff points. The most often used cutoff points for BF% are as follows: overweight men, 20.1-24.9%; overweight women, 30.1-34.9%; obese men, >= 25% and obese women, >= 35%.
At any rate, BF% does a better job of identifying subjects with a high risk of prediabetes or type 2 diabetes than BMI.
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