Predictive equations for estimating regional body composition: a validation study using DXA as criterion and associations with cardiometabolic risk factors

Simoes, Mario, Severo, Milton, Oliveira, Andreia, Ferreira, Isabel and Lopes, Carla (2016) Predictive equations for estimating regional body composition: a validation study using DXA as criterion and associations with cardiometabolic risk factors. Annals of Human Biology, 43 3: 219-228. doi:10.3109/03014460.2015.1054427

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Author Simoes, Mario
Severo, Milton
Oliveira, Andreia
Ferreira, Isabel
Lopes, Carla
Title Predictive equations for estimating regional body composition: a validation study using DXA as criterion and associations with cardiometabolic risk factors
Journal name Annals of Human Biology   Check publisher's open access policy
ISSN 0301-4460
1464-5033
Publication date 2016
Year available 2015
Sub-type Article (original research)
DOI 10.3109/03014460.2015.1054427
Volume 43
Issue 3
Start page 219
End page 228
Total pages 10
Place of publication London, United Kingdom
Publisher Informa Healthcare
Collection year 2016
Language eng
Formatted abstract
Background: Regional body composition can influence disease risk and simple screening methods to identify individuals at risk are still needed.

Aim: To develop equations for estimating fat and lean mass distribution, using DXA as a criterion, and to compare their performance by the association with cardiometabolic risk factors (systolic and diastolic blood pressure, high-density lipoprotein cholesterol, triacylglycerides and fasting glucose).

Subject and methods: The study was conducted among 391 adults (52% female; aged 24–64 years), randomly selected from the EPIPorto cohort, with anthropometric (skin-folds and circumferences) and DXA measures. Multiple linear regression models, by sex, were used to derive predictive equations and to investigate their performance by the associations with cardiometabolic risk factors.

Results: The best predicting models included circumferences and skin-folds. The final equations standard error (SEEs) ranged between 1.7–3.2% in men and 2.0–3.7% in women. Similar associations were found between regional body composition, measured by DXA or estimated by anthropometric equations, with traditional cardiometabolic risk factors, supporting the convergent validity of the equations. Additionally, it was found that central fat was associated adversely, whereas peripheral fat was favourably associated with cardiometabolic risk factors and their clustering.

Conclusions: Equations combining both circumferences and skin-folds met the necessary standards for predicting regional body composition accurately, being an important tool to identify individuals with cardiometabolic risk.
Keyword Anthropometry
Dual X ray Absorptiometry (dxa)
Body composition
Cardiovascular Health
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ
Additional Notes Published online 31 July 2015

Document type: Journal Article
Sub-type: Article (original research)
Collections: Non HERDC
School of Public Health Publications
 
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Created: Tue, 11 Aug 2015, 23:41:48 EST by Isabel Ferreira on behalf of School of Public Health