Assessing the Reliability of FTIR Spectroscopy Measurements and Validity of Bioelectrical Impedance Analysis As a Surrogate Measure of Body Composition Among Children and Adolescents Aged 8-19 years Attending Schools in Kampala, Uganda

Overview

Journal BMC Public Health

Publisher Biomed Central

Specialty Public Health

Date 2018 Jun 6

PMID 29866098

Citations 1

Authors

Catherine T Ndagire

John H Muyonga

Dan Isabirye

Benard Odur

Serge M A Somda

Richard Bukenya

Juan E Andrade

Dorothy Nakimbugwe

Affiliations

Soon will be listed here.

Abstract

Background: Accurate measurement of body composition in children and adolescents is important as the quantities of fat and fat-free mass have implications for health risk. The objectives of the present study were: to determine the reliability of Fourier Transform Infrared spectroscopy (FTIR) measurements and; compare the Fat Mass (FM), Fat Free Mass (FFM) and body fat percentage (%BF) values determined by bioelectrical impedance analysis (BIA) to those determined by deuterium dilution method (DDM) to identify correlations and agreement between the two methods.

Methods: A cross-sectional study was conducted among 203 children and adolescents aged 8-19 years attending schools in Kampala city, Uganda. Pearson product-moment correlation at 5% significance level was considered for assessing correlations. Bland Altman analysis was used to examine the agreement between of FTIR measurements and between estimates by DDM and BIA.. Reliability of measurements was determined by Cronbach's alpha.

Results: There was good agreement between the in vivo DO saliva enrichment measurements at 3 and 4 h among the studied age groups based on Bland-Altman plots. Cronbach's alpha revealed that measurements of DO saliva enrichment had very good reliability. For children and young adolescents, DDM and BIA gave similar estimates of FFM, FM, and %BF. Among older adolescents, BIA significantly over-estimated FFM and significantly under-estimated FM and %BF compared to estimates by DDM. The correlation between FFM, FM and %BF estimates by DDM and BIA was high and significant among young and older adolescents and for FFM among children.

Conclusions: Reliability of the FTIR spectroscopy measurements was very good among the studied population. BIA is suitable for assessing body composition among children (8-9 years) and young adolescents (10-14 years) but not among older adolescents (15-19 years) in Uganda. The body composition measurements of older adolescents determined by DDM can be predicted using those provided by BIA using population-specific regression equations.

Citing Articles

Real-Time Metasurface Sensor for Monitoring Micropoisons in Aqueous Solutions Based on Gold Nanoparticles and Terahertz Spectroscopy.

Abramovich A, Azoulay Y, Rotshild D Sensors (Basel). 2022; 22(3).

PMID: 35162024 PMC: 8838523. DOI: 10.3390/s22031279.

References

Meissl K, Smidt E, Tintner J . Reproducibility of Fourier transform infrared spectra of compost, municipal solid waste, and landfill material. Appl Spectrosc. 2008; 62(2):190-6. DOI: 10.1366/000370208783575537. View

Raj M . Obesity and cardiovascular risk in children and adolescents. Indian J Endocrinol Metab. 2012; 16(1):13-9. PMC: 3263181. DOI: 10.4103/2230-8210.91176. View

Lee S, Gallagher D . Assessment methods in human body composition. Curr Opin Clin Nutr Metab Care. 2008; 11(5):566-72. PMC: 2741386. DOI: 10.1097/MCO.0b013e32830b5f23. View

Xiong K, He H, Zhang Y, Ni G . Analyses of body composition charts among younger and older Chinese children and adolescents aged 5 to 18 years. BMC Public Health. 2012; 12:835. PMC: 3548758. DOI: 10.1186/1471-2458-12-835. View

Anthoine E, Moret L, Regnault A, Sebille V, Hardouin J . Sample size used to validate a scale: a review of publications on newly-developed patient reported outcomes measures. Health Qual Life Outcomes. 2014; 12:176. PMC: 4275948. DOI: 10.1186/s12955-014-0176-2. View

Shafer K, Siders W, Johnson L, Lukaski H . Validity of segmental multiple-frequency bioelectrical impedance analysis to estimate body composition of adults across a range of body mass indexes. Nutrition. 2008; 25(1):25-32. DOI: 10.1016/j.nut.2008.07.004. View

Bland J, Altman D . Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986; 1(8476):307-10. View

Ramirez E, Valencia M, Bourges H, Espinosa T, Moya-Camarena S, Salazar G . Body composition prediction equations based on deuterium oxide dilution method in Mexican children: a national study. Eur J Clin Nutr. 2012; 66(10):1099-103. DOI: 10.1038/ejcn.2012.89. View

Akindele M, Phillips J, Igumbor E . The Relationship Between Body Fat Percentage and Body Mass Index in Overweight and Obese Individuals in an Urban African Setting. J Public Health Afr. 2017; 7(1):515. PMC: 5349253. DOI: 10.4081/jphia.2016.515. View

10.

Hobart J, Cano S, Warner T, Thompson A . What sample sizes for reliability and validity studies in neurology?. J Neurol. 2012; 259(12):2681-94. DOI: 10.1007/s00415-012-6570-y. View

11.

Langer R, Borges J, Pascoa M, Cirolini V, Guerra-Junior G, Goncalves E . Validity of Bioelectrical Impedance Analysis to Estimation Fat-Free Mass in the Army Cadets. Nutrients. 2016; 8(3):121. PMC: 4808851. DOI: 10.3390/nu8030121. View

12.

Haroun D, Croker H, Viner R, Williams J, Darch T, Fewtrell M . Validation of BIA in obese children and adolescents and re-evaluation in a longitudinal study. Obesity (Silver Spring). 2009; 17(12):2245-50. DOI: 10.1038/oby.2009.98. View

13.

Resende C, Junior J, Vieira M, Ferriolli E, Pfrimer K, Perdona G . Body composition measures of obese adolescents by the deuterium oxide dilution method and by bioelectrical impedance. Braz J Med Biol Res. 2011; 44(11):1164-70. DOI: 10.1590/s0100-879x2011007500122. View

14.

Bohm A, Heitmann B . The use of bioelectrical impedance analysis for body composition in epidemiological studies. Eur J Clin Nutr. 2013; 67 Suppl 1:S79-85. DOI: 10.1038/ejcn.2012.168. View

15.

Li Y, Li C, Lin W, Liu C, Hsu H, Lee C . Percentage of body fat assessment using bioelectrical impedance analysis and dual-energy X-ray absorptiometry in a weight loss program for obese or overweight Chinese adults. PLoS One. 2013; 8(4):e58272. PMC: 3613423. DOI: 10.1371/journal.pone.0058272. View

16.

Mehta N, Raphael B, Guteirrez I, Quinn N, Mitchell P, Litman H . Comparison of body composition assessment methods in pediatric intestinal failure. J Pediatr Gastroenterol Nutr. 2014; 59(1):99-105. PMC: 4409423. DOI: 10.1097/MPG.0000000000000364. View

17.

Celermajer D, Chow C, Marijon E, Anstey N, Woo K . Cardiovascular disease in the developing world: prevalences, patterns, and the potential of early disease detection. J Am Coll Cardiol. 2012; 60(14):1207-16. DOI: 10.1016/j.jacc.2012.03.074. View

18.

Wang L, Hui S . Validity of Four Commercial Bioelectrical Impedance Scales in Measuring Body Fat among Chinese Children and Adolescents. Biomed Res Int. 2015; 2015:614858. PMC: 4475745. DOI: 10.1155/2015/614858. View

19.

Wickramasinghe V, Lamabadusuriya S, Cleghorn G, Davies P . Assessment of body composition in Sri Lankan children: validation of a bioelectrical impedance prediction equation. Eur J Clin Nutr. 2007; 62(10):1170-7. DOI: 10.1038/sj.ejcn.1602835. View

20.

Bosy-Westphal A, Later W, Hitze B, Sato T, Kossel E, Gluer C . Accuracy of bioelectrical impedance consumer devices for measurement of body composition in comparison to whole body magnetic resonance imaging and dual X-ray absorptiometry. Obes Facts. 2010; 1(6):319-24. PMC: 6452160. DOI: 10.1159/000176061. View