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评估 FTIR 光谱测量的可靠性和生物电阻抗分析作为乌干达坎帕拉学校 8-19 岁儿童和青少年身体成分替代测量的有效性。

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.

机构信息

School of Food Technology, Nutrition and Bio-engineering, Makerere University, Kampala, Uganda.

Department of Biochemistry and Sports Science, Makerere University, Kampala, Uganda.

出版信息

BMC Public Health. 2018 Jun 4;18(1):687. doi: 10.1186/s12889-018-5627-y.

DOI:10.1186/s12889-018-5627-y
PMID:29866098
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5987600/
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.

摘要

背景

准确测量儿童和青少年的身体成分非常重要,因为脂肪量和去脂体重的数量与健康风险有关。本研究的目的是:确定傅立叶变换红外光谱(FTIR)测量的可靠性;并比较生物电阻抗分析(BIA)和氘稀释法(DDM)确定的脂肪量(FM)、去脂体重(FFM)和体脂百分比(%BF)值,以确定两种方法之间的相关性和一致性。

方法

横断面研究在乌干达坎帕拉市的学校中进行,共有 203 名 8-19 岁的儿童和青少年参加。以 5%的显著性水平评估 Pearson 乘积矩相关系数来评估相关性。Bland-Altman 分析用于检查 FTIR 测量值之间以及 DDM 和 BIA 之间的估计值之间的一致性。通过 Cronbach 的 alpha 来确定测量的可靠性。

结果

根据 Bland-Altman 图,在所研究的年龄组中,3 小时和 4 小时的 DO 唾液富集测量值之间存在良好的一致性。Cronbach 的 alpha 表明,DO 唾液富集的测量具有很好的可靠性。对于儿童和青少年,DDM 和 BIA 给出了相似的 FFM、FM 和 %BF 估计值。在年龄较大的青少年中,与 DDM 的估计值相比,BIA 显著高估了 FFM,显著低估了 FM 和 %BF。DDM 和 BIA 估计的 FFM、FM 和 %BF 值之间的相关性在青少年和青少年中以及儿童中都很高且显著。

结论

在所研究的人群中,FTIR 光谱测量的可靠性非常好。BIA 适用于评估乌干达儿童(8-9 岁)和青少年(10-14 岁)的身体成分,但不适用于年龄较大的青少年(15-19 岁)。使用特定于人群的回归方程,可以使用 DDM 确定的年龄较大青少年的身体成分测量值来预测 BIA 提供的身体成分测量值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cc5/5987600/24e8636208b5/12889_2018_5627_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cc5/5987600/1e1e5503ea40/12889_2018_5627_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cc5/5987600/757b901a7fc2/12889_2018_5627_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cc5/5987600/33b6ced49ee6/12889_2018_5627_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cc5/5987600/24e8636208b5/12889_2018_5627_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cc5/5987600/1e1e5503ea40/12889_2018_5627_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cc5/5987600/757b901a7fc2/12889_2018_5627_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cc5/5987600/33b6ced49ee6/12889_2018_5627_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cc5/5987600/24e8636208b5/12889_2018_5627_Fig4_HTML.jpg

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