Parameters defining size and distribution of body fat tissue: Relationship analysis

Autor: Agneza Polzović, Edita Stokic, Biljana Srdić
Rok vydání: 2003
Předmět:
Zdroj: Medical review. 56:232-236
ISSN: 1820-7383
0025-8105
DOI: 10.2298/mpns0306232s
Popis: Introduction Obesity is defined as an increase of body fat mass. Regional fat distribution, especially abdominal obesity, is a very important risk factor for cardiovascular and metabolic complications in obesity. The aim of this study was to investigate the relationship between some anthropometrics parameters and body fat mass in normal weight and obese subjects Material and methods The study group consisted of 60 obese and 60 normal-weight subjects of both sexes. All examinees underwent following anthropometrics measurements: body height, body weight, waist circumference hip circumference and sagittal abdominal diameter. We calculated values of body mass index (BMI), waist to hip ratio (WHR), waist to stature ratio (WSR) and sagittal abdominal diameter to height ratio (SAD/H). Body fat percent (FAT%) was measured using bioelectrical impedance analysis Results and discussion We have established that FAT% has the strongest correlation with BMI in all examined groups. Comparing with other body fat distribution parameters, FAT% had the best correlation with waist circumference and WHR. 13.33% of normal-weight women and 10% of normal-weight men presented with borderline increased body fat mass, whereas 6.67% of normal-weight women had increased values (normal-weight obesity). Normal-weight subjects had higher values of anthropometrics parameters comparing with normal-weight subjects with normal FAT%. Conclusion In order to achieve precise diagnosis of obesity it is necessary, apart from certain anthropometrics measurements, to establish the body fat mass, using some methods of body composition analysis. In order to identify subjects with higher risk for obesity complications, it is necessary to analyze the size of intraabdominal fat depots. We found that waist circumference, as a good predictor of specific fat distribution, also has a very good correlation with total body fat mass.
Databáze: OpenAIRE