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Relationship between anthropometric and dual energy X-ray absorptiometry measures to assess total and regional adiposity in Malaysian adolescents

Citation

Foo, LH and Teo, PS and Abdullah, NF and Aziz, ME and Hills, AP, Relationship between anthropometric and dual energy X-ray absorptiometry measures to assess total and regional adiposity in Malaysian adolescents, Asia Pacific journal of clinical nutrition, 22, (3) pp. 348-56. ISSN 0964-7058 (2013) [Refereed Article]

DOI: doi:10.6133/apjcn.2013.22.3.02

Abstract

The main objective of this paper was to determine the utility of various anthropometric measures to assess total and regional body fatness using dual-energy X-ray absorptiometry (DXA) as the criterion in 454 adolescent boys and girls aged 12-19 years. Multivariable regression analyses of gender-specific and gender-combined models were used to determine anthropometric measures on DXA-derived body fatness models, after adjusting for known confounding biological factors. Partial correlation analyses, after adjusting for age, pubertal growth status and ethnicity in boys and girls, showed that body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and waist-height ratio (WhtR) were significantly correlated with total body fat (TBF), percent body fat (%BF), android region fat (ARF) and trunk fat (TF) (all p<0.0001). BMI was the greatest independent determinant, contributing 43.8%-80.9% of the total variance for DXA-derived body fatness models. Results confirmed that a simple anthropometric index such as the BMI is a good surrogate indicator of body fat levels in Malay and Chinese adolescents.

Item Details

Item Type:Refereed Article
Research Division:Medical and Health Sciences
Research Group:Public Health and Health Services
Research Field:Public Health and Health Services not elsewhere classified
Objective Division:Health
Objective Group:Specific Population Health (excl. Indigenous Health)
Objective Field:Health Related to Specific Ethnic Groups
Author:Hills, AP (Professor Andrew Hills)
ID Code:109899
Year Published:2013
Web of Science® Times Cited:4
Deposited By:Health Sciences
Deposited On:2016-07-06
Last Modified:2017-11-07
Downloads:0

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