title: Body composition measurements: interpretation finally made easy for clinical use.
abstract: OBJECTIVE
  This review presents the latest clinical applications of bioelectrical impedance analysis. It discusses the evaluation of nutritional status by using fat-free mass and body fat, percentiles of fat-free mass and body fat, height-normalized fat-free mass and body fat mass indices and a resistance/reactance vector graph.
  
  
  RESULTS
  Fat-free mass and body fat can be used to evaluate nutritional status by comparing individuals or groups of individuals with themselves or with reference values. Percentile distributions are also useful in determining whether individuals or groups fall within the population range. Percentile ranks can also be used to define nutritional depletion and obesity. The use of the fat-free mass and body fat mass indices has the advantage of compensating for differences in body height. The use of low, normal, high and very high fat-free mass and body fat mass indices ranges that correspond to underweight, normal, overweight and obese body mass index categories further aid in the nutritional assessment process. With vector bioelectrical impedance analysis, an individual impedance vector is compared with the 50, 75, and 95% tolerance ellipses calculated in the reference, healthy population, allowing evaluation in any clinical condition. More accurate estimates of conventional bioelectrical impedance analysis equations might be obtained in individuals with a normal impedance vector.
  
  
  CONCLUSIONS
  The assessment of fat-free mass and body fat provides valuable information about changes in body composition with weight gain or loss and physical activity, and during ageing. The use of percentiles and height-normalized fat-free mass and body fat permit the classification of patients as under or overnourished.
authors.affiliation: Department of Clinical Nutrition, Geneva University Hospital, Geneva, Switzerland.
authors.forename: Ursula G
authors.initials: UG
authors.lastname: Kyle
authors.forename: Antonio
authors.initials: A
authors.lastname: Piccoli
authors.forename: Claude
authors.initials: C
authors.lastname: Pichard
mesh_terms: D000273:Adipose Tissue / Q000378:metabolism*; D000375:Aging / Q000378:metabolism; D001823:Body Composition / Q000502:physiology*; D017097:Electric Impedance; D015444:Exercise / Q000502:physiology; D005260:Female; D006801:Humans; D008297:Male; D018482:Muscle, Skeletal / Q000378:metabolism; D015596:Nutrition Assessment; D009752:Nutritional Status; D009765:Obesity / Q000378:metabolism