Relative Body Mass Index Improves the BMI Percentile Performance for Detection and Monitoring of Excess Adiposity in Adolescents

Author:

Velasquez-Mieyer Pedro A.12,Nieto-Martinez Ramfis13ORCID,Neira Claudia P.12,De Oliveira-Gomes Diana4ORCID,Velasquez Rodriguez Andres E.2ORCID,Ugel Eunice3,Cowan Patricia A.5

Affiliation:

1. Lifedoc Health, 6625 Lenox Park Drive, Suite 205, Memphis, TN 38115, USA

2. Lifedoc Research, 6625 Lenox Park Drive, Suite 205, Memphis, TN 38115, USA

3. Departments of Global Health and Population and Epidemiology, Harvard T. H. Chan School of Public Health, Harvard University, Boston, MA 02115, USA

4. Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA

5. College of Nursing, University of Arkansas for Medical Science, Little Rock, AR 72205, USA

Abstract

Obesity is defined as excess adipose tissue; however, commonly used methods may under-detect adiposity in adolescents. This study compared the performance of body mass index percentile (BMI%) and relative body mass index (RBMI) in identifying excess body fat percentage (BF%) and estimated RBMI cut points to better stratify severity of adiposity. In 567 adolescents ages 11–19 year, BF% measured by DXA was used to compare BMI% and RBMI performance at different degrees of adiposity. RBMI cut points for adiposity detection were derived via ROC curve analysis. BF% was strongly correlated with BMI% (r = 0.889, p < 0.001) and RBMI (r = 0.901, p < 0.001). However, RBMI exhibited less dispersion and better discriminated the relationship with BF% independent of age, race, and gender. Both BMI% and RBMI performed similarly for detecting high BF% (≥25 BF% in males; ≥30 BF% in females). Nonetheless, the relationship of BMI% with BF% was diminished among leaner adolescents. RBMI detected overweight in 21.3% more females and 14.2% more males. RBMI improved the detection of excess adiposity in individuals otherwise classified as having normal weight or overweight by BMI%. RBMI is a valuable and accessible tool for earlier detection, intervention, and effective follow-up of excess adiposity in youth at higher risk for complications.

Funder

National Institutes of Health

University of Tennessee Health Science Center

Publisher

MDPI AG

Reference33 articles.

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