Poster Topical Area: Obesity

Location: Hall D

Poster Board Number: 636

P23-009 - Criterion Validity of Body Fat Composition Calculated from Formulas using Self-Report and Expert Anthropometric Measurements Compared to Bioelectrical Impedance Analysis

Sunday, Jun 10
8:00 AM – 6:00 PM


Compare body fat composition formulas with self-report and technician measurments.


Mothers of young children (n=41, ages=38.05+3.54SD years, 71% white, 78% college graduate) self-reported demographic characteristics and anthropometric measurements via an online survey. They then visited an anthropometrics lab in a fasted state where, after voiding their bladders, trained-technicians took anthropometric measurements in duplicate and assessed percent body fatness via BIA (Tanita scale). Before data collection, technicians (n=9) trained to complete study measurements accurately (inter-observer reliability r=0.96). Self-reported and technician measurements were used to calculate body fatness with 3 common formulas: US Navy (uses waist, neck, hip, height measurements); Durenberg (uses height, weight, age); Fatness Calculator (FC) (uses waist, age).


Intraclass Correlations (ICC) comparing BIA to Navy, Durenburg, and FC formula results using mothers' self-measurements were excellent (0.94, 0.91, 0.85, respectively) as were BIA to technician-measurements (0.94, 0.92, 0.89, respectively). Both self-measurements and technician-measurements were highly correlated; however, compared to BIA (31.58±9.98SD), mean percent body fat formula scores were significantly (p


Given consistent overestimates of body fatness using formulas of self-reported and technician measurements, researchers may consider multiplying by factors of 0.81 (Navy), 0.88 (Durenberg), and 0.78 (FC) to make estimates more congruent with measured BIA outcomes.

Funding Source:

USDA NIFA #2011-68001-30170

CoAuthors: Virginia Quick – Rutgers Univerity ; Pamela Barrios – Rutgers University; Jennifer Martin-Biggers – Rutgers Univeristy; Carol Byrd-Bredbenner – Rutgers University

Carol Byrd-Bredbenner

Distinguished Professor
Nutritional Sciences Department, Rutgers University
New Brunswick, New Jersey