title: Precision of total and regional body fat estimates from dual-energy X-ray absorptiometer measurements.
abstract: OBJECTIVE
  To evaluate the precision of both total %fat and all the regional %fat measures acquired from both the Lunar Prodigy and Lunar iDXA software.
  
  
  METHODS
  Cross-sectional study.
  
  
  METHODS
  University-based research laboratory.
  
  
  METHODS
  The sample consisted of 300 individual test records from men and women who had volunteered to participate in dual-energy x-ray absorptiometer (DXA) technician precision training studies. Subjects ranged in age from 20-84 years and in body mass index from 15.7-52.0 kg.m-2.
  
  
  METHODS
  A total of 27 different technicians performed three total body scan measurements on 10-15 different subjects. The Lunar Prodigy and Lunar iDXA were used for 253 and 47 precision training evaluations, respectively. The regions of interest (ROI) were automatically determined by the enCORE software (autoROI) for total body, android, gynoid, trunk, legs, and arms regions and the region %fat data were used for analyses.
  
  
  RESULTS
  The CV for total body %fat was 1.9% and 0.9% for the Prodigy and iDXA, respectively. CV's for %fat measures at regional sites ranged from 1.2-4.4% for the Prodigy measures and 0.9-2.4% for the iDXA measures. The ICC for both devices ranged from 0.990 to 0.999.
  
  
  CONCLUSIONS
  Monitoring the status of body composition changes with age is gaining more clinical acceptance. Thus, it is important that practitioners use measures that are both precise and accurate. The findings from the current study add support that DXA measurements can be used with a high level of confidence for serial testing of patients.
authors.affiliation: Leonard A. Kaminsky, Ball State University, Human Performance Laboratory, Clinical Exercise Physiology Program, Muncie, IN 47304, USA, kaminskyla@bsu.edu.
authors.forename: L A
authors.initials: LA
authors.lastname: Kaminsky
authors.forename: C
authors.initials: C
authors.lastname: Ozemek
authors.forename: K L
authors.initials: KL
authors.lastname: Williams
authors.forename: W
authors.initials: W
authors.lastname: Byun
mesh_terms: D015502:Absorptiometry, Photon; D000273:Adipose Tissue; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000375:Aging; D001823:Body Composition; D015992:Body Mass Index; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D012680:Sensitivity and Specificity; D012984:Software; D055815:Young Adult