Existing equations for bioelectrical impedance analysis (BIA) are of limited use when subjects age or become overweight because these equations were developed in young, normal-weight subjects and are not valid in elderly or overweight people. The purpose of this study was to validate a single BIA equation in healthy white subjects aged 22–94 y with a body mass index between 17.0 and 33.8 kg/m2. Healthy subjects (202 men and 141 women) aged 20–94 y were measured by two methods: fat-free mass (FFM) was measured by dual-energy x-ray absorptiometry (Hologic QDR-4500) and by a bioelectrical impedance analyzer (Xitron 4000B). Validity of BIA was assessed by double cross validation. Because correlations were high (r = 0.986–0.987) and prediction e...
Background: This research applied bioelectrical impedance analysis (BIA) and Dual-Energy X-ray Absor...
Background & aims: Obesity is characterized by fat mass excess (FM), extra cellular water increase (...
To investigate the influence of different bioelectrical impedance (BI) analyzers on the prediction o...
BACKGROUND AND AIMS: In underweight elderly subjects it is important to estimate body composition an...
Background/Objectives—Bio-electrical impedance analysis (BIA) is used in population and clinical stu...
Aging is characterized by a loss of limb lean mass (LLM) that can lead to physical disability and de...
Background: Bioelectrical impedance (BIA) has a good correlation and agreement with reference techni...
Objective: Several limitations of published bioelectrical impedance analysis (BIA) equations have be...
Background: Changes of body composition occur with aging and influence health status. Thus accurate ...
Determination of fat-free mass (FFM) and fat mass (FM) is of considerable interest in the evaluation...
The prediction of body composition variables from bioelectric impedance (BI) has considerable potent...
The assessment of body composition has important applications in the evaluation of nutritional statu...
Background: Bioelectrical Impedance Analysis (BIA) is a fast, practical, non-invasive, and frequentl...
Body composition assessment is a useful procedure for the study of nutritional status and water dist...
Body composition assessment is a useful procedure for the study of nutritional status and water dis...
Background: This research applied bioelectrical impedance analysis (BIA) and Dual-Energy X-ray Absor...
Background & aims: Obesity is characterized by fat mass excess (FM), extra cellular water increase (...
To investigate the influence of different bioelectrical impedance (BI) analyzers on the prediction o...
BACKGROUND AND AIMS: In underweight elderly subjects it is important to estimate body composition an...
Background/Objectives—Bio-electrical impedance analysis (BIA) is used in population and clinical stu...
Aging is characterized by a loss of limb lean mass (LLM) that can lead to physical disability and de...
Background: Bioelectrical impedance (BIA) has a good correlation and agreement with reference techni...
Objective: Several limitations of published bioelectrical impedance analysis (BIA) equations have be...
Background: Changes of body composition occur with aging and influence health status. Thus accurate ...
Determination of fat-free mass (FFM) and fat mass (FM) is of considerable interest in the evaluation...
The prediction of body composition variables from bioelectric impedance (BI) has considerable potent...
The assessment of body composition has important applications in the evaluation of nutritional statu...
Background: Bioelectrical Impedance Analysis (BIA) is a fast, practical, non-invasive, and frequentl...
Body composition assessment is a useful procedure for the study of nutritional status and water dist...
Body composition assessment is a useful procedure for the study of nutritional status and water dis...
Background: This research applied bioelectrical impedance analysis (BIA) and Dual-Energy X-ray Absor...
Background & aims: Obesity is characterized by fat mass excess (FM), extra cellular water increase (...
To investigate the influence of different bioelectrical impedance (BI) analyzers on the prediction o...