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Relationship between body fat and BMI in a US hispanic population-based cohort study: Results from HCHS/SOL

  • William W. Wong
  • , Garrett Strizich
  • , Moonseong Heo
  • , Steven B. Heymsfield
  • , John H. Himes
  • , Cheryl L. Rock
  • , Marc D. Gellman
  • , Anna Maria Siega-Riz
  • , Daniela Sotres-Alvarez
  • , Sonia M. Davis
  • , Elva M. Arredondo
  • , Linda Van Horn
  • , Judith Wylie-Rosett
  • , Lisa Sanchez-Johnsen
  • , Robert C. Kaplan
  • , Yasmin Mossavar-Rahmani

Research output: Contribution to journal › Article › peer-review

Abstract

Objective: To evaluate the percentage of body fat (%BF)-BMI relationship, identify %BF levels corresponding to adult BMI cut points, and examine %BF-BMI agreement in a diverse Hispanic/Latino population. Methods: %BF by bioelectrical impedance analysis was corrected against %BF by 18O dilution in 434 participants of the ancillary Hispanic Community Health Study/Study of Latinos. Corrected %BF was regressed against 1/BMI in the parent study (n = 15,261), fitting models for each age group, by sex, and Hispanic/Latino background; predicted %BF was then computed for each BMI cut point. Results: Bioelectrical impedance analysis underestimated %BF by 8.7 ± 0.3% in women and 4.6 ± 0.3% in men (P < 0.0001). The %BF-BMI relationship was nonlinear and linear for 1/BMI. Sex- and age-specific regression parameters between %BF and 1/BMI were consistent across Hispanic/Latino backgrounds (P > 0.05). The precision of the %BF-1/BMI association weakened with increasing age in men but not women. The proportion of participants classified as nonobese by BMI but as having obesity by %BF was generally higher among women and older adults (16.4% in women vs. 12.0% in men aged 50-74 years). Conclusions: %BF was linearly related to 1/BMI with consistent relationship across Hispanic/Latino backgrounds. BMI cut points consistently underestimated the proportion of Hispanics/Latinos with excess adiposity.

Original languageEnglish (US)
Pages (from-to)1561-1571
Number of pages11
JournalObesity
Volume24
Issue number7
DOIs
StatePublished - Jul 1 2016

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

ASJC Scopus subject areas

  • Endocrinology, Diabetes and Metabolism
  • Medicine (miscellaneous)
  • Endocrinology
  • Nutrition and Dietetics

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