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Title: LIPOMETER: A POTENTIAL FIELD METHOD FOR ADIPOSITY ASSESSMENT IN CHILDREN

Author
item Ellis, Kenneth
item SHYPAILO, ROMAN - BAYLOR COLLEGE MED

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 8/1/2004
Publication Date: 9/1/2004
Citation: Ellis, K.J., Shypailo, R.J. 2004. Lipometer: a potential field method for adiposity assessment in children [abstract]. Obesity Research. (Suppl.)12:A222.

Interpretive Summary:

Technical Abstract: The prevalence of childhood obesity is significantly higher than 10-20 years ago. A number of behavioral, dietary, and/or physical activity interventions have been proposed, many of which may be implemented at the children's schools. A body composition method that is safe, quick, noninvasive, portable and precise is desirable. We have examined the performance of a hand-held, computerized, optical-based device (Lipometer) designed to measure the thickness of the subcutaneous adipose tissue (SAT) layer. SAT measurements at 15 sites over the body, and whole-body DXA measurements were performed in 278 children (128 M, 150 F), ages 3-18 yr, in three ethnic groups (145 white, 75 black, 58 Hispanic). The SAT values for the 15 sites were intra-correlated, different between boys and girls, with minor ethnic differences. Correlations between SAT values and whole-body fat mass and %Fat by DXA were also gender and ethnic dependent, and ranged from 0.3 to 0.9. Although the initial Lipometer estimate of percentage body fat was significantly correlated with %Fat by DXA, the prediction accuracy (+ 5%) was poor. Using the calibration/validation technique (121/151, random split), a pediatric-based Lipometer prediction equation was derived, that had a significant improvement in the correlation (r = 0.91, p < 0.001) and prediction error (+ 2.5%). Using Bland-Altman analysis for %Fat-Lipo vs %Fat-DXA, the bias is + 1% with 95% limits of agreement of + 6%. These preliminary findings suggest that the Lipometer may provide a field method to monitor subcutaneous fat distribution in growing children and to assess a child’s adiposity status.