title: Estimate of body composition by Hume's equation: validation with DXA.
abstract: We investigated how the Hume's equation, using the antipyrine space, could perform in estimating fat mass (FM) and lean body mass (LBM). In 100 (40 male ad 60 female) subjects, we estimated FM and LBM by the equation and compared these values with those measured by a last generation DXA device. The correlation coefficients between measured and estimated FM were r = 0.940 (p < 0.0001) and between measured and estimated LBM were r = 0.913 (p < 0.0001). The Bland-Altman plots demonstrated a fair agreement between estimated and measured FM and LBM, though the equation underestimated FM and overestimated LBM in respect to DXA. The mean difference for FM was 1.40 kg (limits of agreement of -6.54 and 8.37 kg). For LBM, the mean difference in respect to DXA was 1.36 kg (limits of agreement -8.26 and 6.52 kg). The root mean square error was 3.61 kg for FM and 3.56 kg for LBM. Our results show that in clinically stable subjects the Hume's equation could reliably assess body composition, and the estimated FM and LBM approached those measured by a modern DXA device.
authors.affiliation: Unit of Internal Medicine, IRCCS, "Casa Sollievo della Sofferenza" Hospital, San Giovanni Rotondo, FG, Italy.
authors.forename: Vincenzo
authors.initials: V
authors.lastname: Carnevale
authors.forename: Pamela Angela
authors.initials: PA
authors.lastname: Piscitelli
authors.forename: Rita
authors.initials: R
authors.lastname: Minonne
authors.forename: Valeria
authors.initials: V
authors.lastname: Castriotta
authors.forename: Cristiana
authors.initials: C
authors.lastname: Cipriani
authors.forename: Giuseppe
authors.initials: G
authors.lastname: Guglielmi
authors.forename: Alfredo
authors.initials: A
authors.lastname: Scillitani
authors.forename: Elisabetta
authors.initials: E
authors.lastname: Romagnoli
mesh_terms: D015502:Absorptiometry, Photon / Q000379:methods*; D050154:Adiposity / Q000502:physiology; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000886:Anthropometry / Q000379:methods*; D001823:Body Composition / Q000502:physiology*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged