Abstract
Body Mass Index (BMI) is an easily measurable indicator of body fat and with low cost. However, as an indicator of risk of development of chronic diseases in the elderly, it has limitations, as it does not reflect mainly the regional distribution of fat that occurs with the aging process. As an alternative to BMI, the Body Adiposity Index (BAI) has been proposed. This index showed a high correlation with the measurement of body fat in adults indicating that it could replace BMI. However, BAI is still understudied in the elderly.
Highlights
In the elderly, obesity is associated with accelerated loss of cognitive function, frailty and functional disability and premature death from Cardiovascular Disease (CVD), diabetes, cancer and musculoskeletal diseases and other chronic non-communicable diseases [1]
To determine factors associated with adiposity in elderly people, according to sex and in accordance with two anthropometric indices, Body Mass Index (BMI) and Body Adiposity Index (BAI)
The associations between the two indexes (BMI and BAI) and factors associated with adiposity were explored using linear regression
Summary
Obesity is associated with accelerated loss of cognitive function, frailty and functional disability and premature death from Cardiovascular Disease (CVD), diabetes, cancer and musculoskeletal diseases and other chronic non-communicable diseases [1]. These diseases affect both quality of life and longevity and generate high costs to health systems. As an alternative to BMI, the Body Adiposity Index (BAI) has been proposed This index showed a high correlation with the measurement of body fat in adults indicating that it could replace BMI.
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