Assessment of body composition in Sri Lankan children: Validation of a skinfold thickness equation

Wickramasinghe, V. P., Lamabadusuriya, S. P., Cleghorn, G. J. and Davies, P. S. W. (2008) Assessment of body composition in Sri Lankan children: Validation of a skinfold thickness equation. Ceylon Medical Journal, 53 3: 83-88.


Author Wickramasinghe, V. P.
Lamabadusuriya, S. P.
Cleghorn, G. J.
Davies, P. S. W.
Title Assessment of body composition in Sri Lankan children: Validation of a skinfold thickness equation
Journal name Ceylon Medical Journal   Check publisher's open access policy
ISSN 0009-0875
Publication date 2008-09-01
Sub-type Article (original research)
Open Access Status Not yet assessed
Volume 53
Issue 3
Start page 83
End page 88
Total pages 6
Place of publication Colombo, Sri Lanka
Publisher Ceylon Medical Association
Language eng
Subject 11 Medical and Health Sciences
Formatted abstract
Background:
Morbidity associated with obesity is related to the fat mass (FM) of the body. The direct estimation of FM is difficult. Skin fold thickness (SFT) is a simple and cheap alternative for accurate assessment of FM, and population specific equations are necessary for accurate assessment of FM using SFT.

Objective:
To develop a SFT prediction equation to estimate FM of Sri Lankan children. Design, setting and method A cross-sectional descriptive study was done at the University Paediatric Unit of Lady Ridgeway Hospital, Colombo. Data were collected from
5 to 15 year old healthy children. Triceps, biceps, supra-iliac and subscapular SFT were measured using Harpendens skin fold caliper. Total body water was
assessed using an isotope dilution method (D2O), and fat free mass calculated. FM was assessed based on 2 compartment body composition model. Multiple
regression analysis was used to develop prediction equation and validated using PRESS (prediction of sum of squares) statistical technique. Independent variables
were age, triceps SFT, subscapular SFT and sex.

Results: 
Prediction equation for FM [(0.68×age) + (0.246×triceps SFT) + (0.383×subscapular SFT) - (1.61×sex code) -3.45] was able to predict 76.4% of variance with a root mean squared error (RMSE) of 3.4 kg. PRESS statistics was 3.4 kg with press residuals of
1.56 kg. Bland-Altman technique showed that the majority of the residuals were within mean bias ±1.96 SD.

Conclusion:
Results of this study provide an SFT equation for the prediction of FM in Sri Lankan children.

Q-Index Code C1
Q-Index Status Provisional Code

Document type: Journal Article
Sub-type: Article (original research)
Collections: Excellence in Research Australia (ERA) - Collection
School of Medicine Publications
 
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Created: Thu, 24 Dec 2009, 02:26:11 EST by Christine Ouslinis on behalf of Faculty Of Health Sciences