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Ranges of healthy body roundness have been established to accurately classify people with healthy fat mass compared to obese people who are at risk for morbidities. [ 1 ] Compared to traditional metrics, such as the body mass index (BMI), (which uses weight and height), BRI may improve predictions of the amount of body fat and the volume of ...
As mentioned above, abdominal fat is linked with cardiovascular disease, diabetes, and cancer. Specifically it is the deepest layer of belly fat (the fat that cannot be seen or grabbed) that poses health risks, as these "visceral" fat cells produce hormones that can affect health (e.g. increased insulin resistance and/or breast cancer risk).
The BAI is calculated as: [2] Hip circumference (Pearson correlation coefficient, R = 0.602) and height (R = −0.524) are strongly correlated with percentage of body fat.. Comparing BAI with "gold standard" dual-energy X-ray absorptiometry (DXA) results, the correlation between DXA-derived percentage of adiposity and the BAI in a target population was R = 0.85, with a concordance of C_b = 0
BMI vs. Body Fat Percentage. BMI and body fat percentage are both ways of determining whether a person has a healthy weight or not. A high BMI can indicate a high body fat percentage, but it’s ...
The loss of estrogen in menopause is strongly associated with a change in body composition.
Abdominal fat is associated with brain health in middle-aged adults with a family history of Alzheimer’s disease, according to a new study. However, this link is more conspicuous in men.
A 2013 study identified critical threshold values according to age, with consequent significant reduction in life expectancy if exceeded. These are: WHtR greater than 0.5 for people under 40 years of age, 0.5 to 0.6 for people aged 40–50, and greater than 0.6 for people over 50 years of age. [15]
BMI is an accurate reflection of body fat percentage in the majority of the adult population. However it is less accurate in people such as body builders and pregnant women. [13] A formula combining BMI, age, and gender can be used to estimate a person's body fat percentage to an accuracy of 4%. [14]
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