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Validity of single‐site and multi‐site models for estimating body composition of women using near‐infrared interactance

Bibliographic Data

ID19458661
AuthorsVivian H Heyward (University of New Mexico), Kathy A Jenkins (0000-0002-6949-8439, University of New Mexico), Kelly L Cook (0000-0001-7353-9638, University of New Mexico), Virginia L Hicks (University of New Mexico), Joseph A Quatrochi (University of New Mexico), Wendy L Wilson (University of New Mexico), Scott B Going (0000-0003-1606-6218, University of Arizona)
Year1992
Volume4
Issue5
Pages579-593
Publication date1992-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAmerican Journal of Human Biology (JOURNAL)
Journal identifiersISSN: 1042-0533 • E-ISSN: 1520-6300
PublisherWiley (PUBLISHER • GB)
DOI10.1002/ajhb.1310040504
PMID28524589
OpenAlexW2080517109
LanguageEN
Citations received2
References cited15

The purpose of this study was to develop a multi‐site near‐infrared (NIR) model (Model I) and compare its predictive accuracy to single‐site models (IIA and IIB). In Model I, the sum of two optical density (OD) measures (Σ2OD), age, body weight, height, and physical activity level were used as potential predictors of body density (D b ). In Model IIA, the variables used in the manufacturer's NIR equation (biceps OD 1 and OD 2 , body weight, height, gender, and physical activity level) were the potential predictors. This model was modified by including age as an additional potential predictor in Model IIB. We also examined the test‐retest reliability and interrelationships of OD measures taken at 10 anatomical sites, as well as the validity of the manufacturer's NIR equation, for estimating body composition of women. The subjects, 148 women between 20 and 72 years, were hydrostatically weighed to determine criterion D b . The Futrex‐5000 was used to measure OD 1 and OD 2 at 10 anatomical sites. Only two sites (pectoral OD 2 and biceps OD 2 ) contributed significantly to the variance in D b . Thus, the sum of these two ODs (Σ2OD), was used as a potential predictor in the multi‐site model. Test‐retest reliability was high, with intraclass correlation coefficients ≥0.85 for many of the OD measurements. Intercorrelations of ODs ranged from 0.22 to 0.91. In the multi‐site model (I), ΣOD, body weight, age, and height were significant predictors, accounting for 85.7% of the variance in D b . The SEE was 0.0076 g/ml or 3.3% BF. In the manufacturer's model (IIA), biceps OD 2 , body weight, and height accounted for 76.3% of the variance in D b , and the SEE was 0.0094 g/ml (4.1% BF). When age was included as a predictor (Model IIB), the R 2 increased (86.0%) and the SEE (0.0073 g/ml or 3.1% BF) decreased substantially. Cross‐validation of the three equations yielded r 2 s ranging between 0.688 (Model IIA) and 0.748 (Model I) and slightly larger SEEs (0.0094–0.001048 g/ml). There were no significant differences between average criterion D b and predicted D b for each equation. The manufacturer's equation programmed in the Futrex‐5000 yielded a lower r 2 (0.55), higher SEE (5.61% BF), and significantly underestimated criterion % BF by an average of 3% BF. Either the multi‐site (model I) or single‐site (Model IIB) equations is recommended to estimate body composition of this population. © 1992 Wiley‐Liss, Inc

Animal science · Biceps · Biology · Body weight · Correlation · Explained variation · Geometry · Hydrostatic weighing · Intraclass correlation · Near-infrared spectroscopy · Physics · Psychometrics · Statistics · Thermodynamics · Body Composition Measurement Techniques · Hemodynamic Monitoring and Therapy · Mathematics · Medicine · Optical Imaging and Spectroscopy Techniques · Psychology · Internal Medicine · Surgery

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Unique citing works2
Citations per year0.06
Citation span1994 - 2004 (11)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 2

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