Is body mass index a useful measure of excess body fatness in adolescents and young adults with Down syndrome?

J Intellect Disabil Res. 2013 Nov;57(11):1050-7. doi: 10.1111/j.1365-2788.2012.01605.x. Epub 2012 Sep 14.

Abstract

Background: To determine the validity of body mass index (BMI) to identify excess fatness in youth with Down syndrome (DS).

Methods: Using the Centers for Disease Control and Prevention (CDC) growth reference, we defined overweight (≥ 85th percentile) and obesity (≥ 95th percentile) based on participants' age- and sex-specific BMI z-scores, calculated from measured height and weight. Percentage body fat was measured by dual-energy X-ray absorptiometry. We determined sensitivity, specificity, positive predictive value, negative predictive value and efficiency of BMI percentiles to identify excess adiposity relative to elevated percentage body fat cut-offs developed from the Pediatric Rosetta Body Composition project in 32 youth (20 boys/12 girls), ages 13-21 years with Down syndrome.

Results: For adolescents with Down syndrome using the cut-off points of 95th percentile for BMI (obesity), sensitivity and specificity were 71% and 96% respectively. Positive predictive value was 83% and negative predictive value was 92%. Overall efficiency was 91%. Sensitivity and specificity for BMI cut-offs above the 85th percentile (overweight) were 100% and 60% respectively. The positive predictive value was 41% and negative predictive value was 100%. Overall efficiency was 69%.

Conclusion: On the whole, the obesity (≥ 95th percentile) cut-off performs better than the overweight cut-off (85th-94th percentile) in identifying elevated fatness in youth with DS.

Keywords: Down syndrome; adolescents; body fatness; body mass index; obesity.

Publication types

  • Clinical Trial
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Validation Study

MeSH terms

  • Adolescent
  • Anthropometry / methods*
  • Body Composition
  • Body Mass Index*
  • Down Syndrome / complications*
  • Female
  • Growth Charts
  • Humans
  • Male
  • Obesity, Abdominal / complications*
  • Obesity, Abdominal / diagnosis*
  • Overweight / complications
  • Overweight / diagnosis
  • Predictive Value of Tests
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Young Adult