1. UKM Learning and Research Repository
2. Master Thesis / Tesis Master
3. Faculty of Health Sciences / Fakulti Sains Kesihatan

Title:	Validation of body composition assessment methods and development of a new skinfold equation for assessing body fat of Malay children aged 7-11 years old
Authors:	Noradilah Md Jonit (P58585)
Supervisor:	Poh Bee Koon, Prof. Dr.
Keywords:	Obesity - child nutrition - Malaysia.
Issue Date:	13-Jan-2014
Description:	This cross-sectional study was conducted with the aim to validate skinfold (SKF) and bioelectrical impedance analysis (BIA) against dual energy x-ray absorptiometry (DXA) in assessing body fat percentage (BF%), to develop a new prediction equation to estimate BF%, and to determine the relationship of abdominal fat mass to microalbuminuria (MA). A total of 160 children (77 boys, 83 girls) were assessed for BF% using SKFBray, SKFJohnston, SKFSlaughter and SKFGoran prediction equations; and BIAmanufacturer, BIAHoutkooper, BIARush and BIAKushner prediction equations; and also DXA which served as the criterion method. Microalbuminuria (MA) was defined as a urinary albumin/creatinine ratio (ACR) of >22 mg/g for boys and >31 mg/g for girls in a spot random sample, while abdominal fat mass (FM) was measured using DXA. Mean weight, height and abdominal FM were 30.5 ±9.9 kg, 131.3 ±8.4 cm and 0.84 ±0.70 kg, respectively; with girls having significantly higher mean DXA BF% and median ACR (33.4 ±7.6% and 7.5 mg/g, respectively) compared to boys (29.8 ±8.3% and 3.0 mg/g, respectively). The prevalence of MA was 14%. All SKF equations and BIA equations significantly underestimated BF% (p<0.05). None of the four SKF prediction equations gave good agreement with DXA as trends could be observed and high underestimation of BF% by 6.4%-14.6%. All BIA prediction equations gave good agreement with DXA and were independent of BF%; with BIAManufacturer being the best equation as it had acceptable limits of agreement and no apparent extreme individual bias. A new sex-specific SKF equation was developed by dividing the subjects randomly into two groups: development group (49 boys, 53 girls) and validation group (28 boys, 30 girls). The new equations were: BF% = 13.469 – 0.126(Biceps) + 0.984(Triceps) + 0.209(Iliac crest) + 0.092(Calf) for boys with R2 0.932 and SEE 2.2; and BF% = 15.908 + 0.776(Biceps) + 0.528(Triceps) + 0.020(Iliac crest) + 0.131(Calf) for girls with R2 0.900 and SEE 2.5. The Bland-Altman plot was independent of BF% with low bias (-0.1 ±2.3%) and small limits of agreement. There was no relationship observed between abdominal FM and ACR (R= -0.122, p=0.13). In conclusion, BIAManufacturer was the most suitable BIA prediction to be used and the new SKF prediction equation was validated and free of bias. Future studies in populations similar to this study sample can employ the newly developed SKF prediction equation.,Master / Sarjana
Pages:	193
Call Number:	WD210.N8250v 2014 9 tesis
Publisher:	UKM, Kuala Lumpur
Appears in Collections:	Faculty of Health Sciences / Fakulti Sains Kesihatan

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.