Relevance of body composition in phenotyping the obesities.
Laura Salmón-GómezVictoria CatalánGema FrühbeckJavier Gómez-AmbrosiPublished in: Reviews in endocrine & metabolic disorders (2023)
Obesity is the most extended metabolic alteration worldwide increasing the risk for the development of cardiometabolic alterations such as type 2 diabetes, hypertension, and dyslipidemia. Body mass index (BMI) remains the most frequently used tool for classifying patients with obesity, but it does not accurately reflect body adiposity. In this document we review classical and new classification systems for phenotyping the obesities. Greater accuracy of and accessibility to body composition techniques at the same time as increased knowledge and use of cardiometabolic risk factors is leading to a more refined phenotyping of patients with obesity. It is time to incorporate these advances into routine clinical practice to better diagnose overweight and obesity, and to optimize the treatment of patients living with obesity.
Keyphrases
- body composition
- insulin resistance
- type diabetes
- weight gain
- body mass index
- metabolic syndrome
- weight loss
- resistance training
- high fat diet induced
- clinical practice
- bone mineral density
- risk factors
- high throughput
- skeletal muscle
- healthcare
- machine learning
- adipose tissue
- physical activity
- deep learning
- cardiovascular disease
- glycemic control