Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 1 de 1
Filter
Add more filters










Database
Language
Publication year range
1.
Obesity (Silver Spring) ; 15(11): 2688-98, 2007 Nov.
Article in English | MEDLINE | ID: mdl-18070760

ABSTRACT

OBJECTIVE: This study presents total body volume (TBV) and regional body volume, and their relationships with widely used body composition indices [BMI, waist circumference (WC), and percentage body fat (% fat)] in severely obese adults (BMI >or=35 kg/m(2)). RESEARCH METHODS AND PROCEDURES: We measured TBV, trunk volume (TV), arm volume (AV), leg volume (LV), and WC and estimated % fat in 32 severely obese persons with BMI 36 to 62 kg/m(2) (23 women; age, 19 to 65 years; weight, 91 to 182 kg) and in 58 persons with BMI <35 kg/m(2) (28 women; age, 18 to 83 years; weight, 48 to 102 kg) using a newly validated 3-day photonic image scanner (3DPS, Model C9036-02, Hamamatsu Co., Japan) and calculated TV/TBV, AV/TBV, and LV/TBV. RESULTS: Men had significantly larger TBV and higher TV/TBV and AV/TBV, but significantly lower LV/TBV than women, independently of BMI. TV/TBV increased while AV/TBV and LV/TBV decreased with increasing BMI, WC, and % fat, and the rate of increase in TV/TBV per % fat was significantly greater in severely obese individuals than in individuals with BMI <35 kg/m(2). The relationships for TBV with % fat were much lower than with BMI or WC. CONCLUSION: Body volume gains were mainly in the trunk region in adults, irrespective of sex or BMI. For a given BMI, WC, or % fat, men had a significantly larger TV than women. The implication is that men could have higher health risks due to having higher trunk body weight as a proportion of total body weight compared with severely obese or less severely obese women.


Subject(s)
Body Composition/physiology , Body Mass Index , Body Weight/physiology , Obesity/physiopathology , Waist-Hip Ratio , Abdominal Fat/pathology , Abdominal Fat/physiopathology , Adolescent , Adult , Aged , Aged, 80 and over , Body Fat Distribution , Case-Control Studies , Data Interpretation, Statistical , Female , Humans , Image Processing, Computer-Assisted/instrumentation , Image Processing, Computer-Assisted/methods , Linear Models , Male , Middle Aged , Sex Characteristics
SELECTION OF CITATIONS
SEARCH DETAIL
...