Validity and accuracy of body fat prediction equations using anthropometric measurements in children 7 – 10 years old

abstract Children with a deficit of growth because perinatal malnutrition present specificities in the percentage body fat (%BF) that could not be detected by previous mass-based equations. This study developed and validated predictive equations %BF derived from anthropometric variables children aged 7 to 10 living Northeast Brazil, using dual-energy x-ray absorptiometry (DXA) as reference. Body composition data 58 were utilized. DXA was used A stepwise (forward) multiple regression statistical model develop new The Bland-Altman analysis (CI: 95%), paired Student's t-test, intraclass correlation coefficient (ICC) validate compare Two for either gender: boys: %BF: 13.642 + (1.527*BMI) (-0.345*Height) (0.875*Triceps) (0.290* Waist Circumference) girls: -13.445 (2.061*Tight). showed good agreement, limits ranging -1.33 1.24% boys -3.35 4.08% girls. Student’s t-test no difference between %BF-DXA two (p> 0.05), ICC 0.948 0.915, respectively. DXA-based provide an accurate noninvasive method measure changes children.