3.8 Article

Predicting total body fat from anthropometry in Latino children

Journal

OBESITY RESEARCH
Volume 11, Issue 10, Pages 1192-1199

Publisher

NORTH AMER ASSOC STUDY OBESITY
DOI: 10.1038/oby.2003.164

Keywords

anthropometry; fat; body composition; child; Latino

Funding

  1. NCRR NIH HHS [M01 RR 00043] Funding Source: Medline
  2. NICHD NIH HHS [R01 HD/HL 33064] Funding Source: Medline
  3. NIDDK NIH HHS [R01 DK 59211] Funding Source: Medline

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Objective: To develop prediction equations for total body fat specific to Latino children, using demographic and anthropometric measures. Research Methods and Procedures: Ninety-six Latino children (7 to 13 years old) were studied. Two-thirds of the sample was randomized into the equation development group; the remainder served as the cross-validation group. Total body fat was measured by DXA. Measures included weight, height, waist and hip circumferences, and skinfolds (suprailiac, triceps, abdomen, subscapula, thigh, and calf). Results: The previously published equation from Dezenberg et al. did not accurately predict total body fat in Latino children. However, newly developed equations with either body weight alone (intercept +/- SE = 1.78 +/- 1.53 kg, p > 0.05; slope +/- SE = 0.90 +/- 0.07, P > 0.05 against slope 1.0; R-2 = 0.86), weight plus age and gender (intercept SE = 2.28 +/- 1.20 kg, p > 0.05; slope +/- SE = 0.91 +/- 0.05, p > 0.05; against slope = 1.0; R-2 = 0.92), or weight plus height, gender, Tanner stage, and abdominal skinfold (intercept +/- SE = 1.47 +/- 1.01 kg, p > 0.05; slope SE = 0.93 +/- 0.04, p > 0.05; against slope = 1.0, R-2 = 0.97) predicted total body fat without bias. Discussion: Unique prediction equations of total body fat may be needed for Latino children. Weight, as the single most significant predictor, can be used easily to estimate total body fat in the absence of any additional measures. Including age and gender with weight produces an equally stable prediction equation with increasing precision. Using a combination of demographic and anthropometric measures, we were able to capture 97% of the variance in measured total body fat.

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