A Bioelectrical Impedance Analysis in Adult Subjects: The Relationship between Phase Angle and Body Cell Mass.
Fabiano CimminoLidia PetrellaGina CavaliereKatia AmbrosioGiovanna TrincheseVincenzo MondaMargherita D'AngeloCristiana Di GiacomoAlessandro SacconiGiovanni MessinaMaria Pina MollicaAngela CatapanoPublished in: Journal of functional morphology and kinesiology (2023)
The correct assessment of body composition is essential for an accurate diagnostic evaluation of nutritional status. The body mass index (BMI) is the most widely adopted indicator for evaluating undernutrition, overweight, and obesity, but it is unsuitable for differentiating changes in body composition. In recent times, bioelectrical impedance analyses (BIA) have been proven as a more accurate procedure for the assessment of body composition. Furthermore, the efficiency of bioelectrical impedance vector analyses, as an indicator of nutritional status and hydration, has been demonstrated. By applying a bioimpedance analysis, it is possible to detect fat mass (FM), fat free mass (FFM), phase angle, and body cell mass (BCM). It is important to point out that phase angle and BCM are strongly associated with health status. The aim of this research was to examine body composition and the association between the phase angle and BCM in 87 subjects (14 males and 73 females), aged between 23 and 54 years, with BMIs ranging from 17.0 to 32.0 kg/m 2 , according to sex. The BMI results revealed that the majority of the assessed subjects were within the normal range and had a normal percentage of FM. Our data indicate that a direct relation exists between phase angle and cellular health and that these values increase almost linearly. Consequently, a high phase angle may be related to increased BCM values.
Keyphrases
- body composition
- resistance training
- high resolution
- bone mineral density
- body mass index
- single cell
- healthcare
- adipose tissue
- public health
- cell therapy
- weight gain
- magnetic resonance imaging
- physical activity
- minimally invasive
- mass spectrometry
- magnetic resonance
- risk assessment
- mesenchymal stem cells
- machine learning
- fatty acid
- electronic health record
- social media
- contrast enhanced