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BMI and EAT-26, Predictors for Low BMD

Bibliographic Data

ID16911981
AuthorsSonya Sanderson (Valdosta State University), Scot Raab (Northern Arizona University), Peggy Moch (Valdosta State University)
Year2012
Volume2
Issue1
Publication date2012-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSAGE Open (JOURNAL)
Journal identifiersISSN: 2158-2440 • E-ISSN: 2158-2440
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/2158244012441604
OpenAlexW2159368023
LanguageEN
References cited26

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/m 2 ). 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, R 2 = .345, R 2 adj = .334, F(3, 170) = 29.87, p

Analysis of variance · Body mass index · Bone mineral · Explained variation · Linear regression · Osteoporosis · Statistics · Demography · Diet and metabolism studies · Eating Disorders and Behaviors · Mathematics · Medicine · Obesity, Physical Activity, Diet · Internal Medicine

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Citation velocityhistorical
Highly citedNo

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