BMI and EAT-26, predictors for low BMD?

Sonya Sanderson, Scot Raab, Peggy Moch

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

The primary purpose of this study was to characterize bone mineral density (BMD) in healthy adult females in the Southern United States. A secondary purpose was to determine to what extent age, race, body mass index (BMI), and disordered eating contribute to BMD status. Age ranged from 25 to 50 years (39.8 ± 8.5). Race was classified into Caucasian or non-Caucasian. BMI was 28.97 ± 7.85 (kg/m2). The Eating Attitudes Test (EAT-26) was used to identify disordered eating characteristics. The Alara MetriScan was used to assess BMD values. Regression results showed that the linear combination of three independent variables-age, race, and BMI-predicted 34.5% of the variance in BMD, R2 =.345, R2 adj =.334, F(3, 170) = 29.87, p <.001. The strongest predictor of low BMD was Caucasian race.

Original languageEnglish (US)
Pages (from-to)1-5
Number of pages5
JournalSAGE Open
Volume2
Issue number1
DOIs
StatePublished - 2012

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eating behavior
Caucasian
regression
Predictors
Bone Mineral Density
Values

Keywords

  • Alara metriscan
  • BMD
  • BMI
  • EAT-26
  • Osteoporosis

ASJC Scopus subject areas

  • Social Sciences(all)
  • Arts and Humanities(all)

Cite this

BMI and EAT-26, predictors for low BMD? / Sanderson, Sonya; Raab, Scot; Moch, Peggy.

In: SAGE Open, Vol. 2, No. 1, 2012, p. 1-5.

Research output: Contribution to journalArticle

Sanderson, Sonya ; Raab, Scot ; Moch, Peggy. / BMI and EAT-26, predictors for low BMD?. In: SAGE Open. 2012 ; Vol. 2, No. 1. pp. 1-5.
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