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比较生物电阻抗分析、空气置换体积描记法和双能X线吸收法在儿童肥胖症身体成分分析中的应用

Comparing Bioelectrical Impedance Analysis, Air Displacement Plethysmography, and Dual-Energy X-Ray Absorptiometry for Body Composition in Pediatric Obesity.

作者信息

Thajer Alexandra, Vasek Martin, Schneider Sophie, Kautzky-Willer Alexandra, Kainberger Franz, Durstberger Sebastian, Kranzl Andreas, Horsak Brian, Greber-Platzer Susanne

机构信息

Division of Pediatric Pulmonology, Allergology and Endocrinology, Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, 1090 Vienna, Austria.

Gender Medicine Unit, Division of Endocrinology and Metabolism, Department of Internal Medicine III, Medical University of Vienna, 1090 Vienna, Austria.

出版信息

Nutrients. 2025 Mar 10;17(6):971. doi: 10.3390/nu17060971.

DOI:10.3390/nu17060971
PMID:40289958
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11946140/
Abstract

BACKGROUND

Body composition analysis is crucial in clinical practice, yet few methods are suitable for pediatric patients, and data on young children with obesity are limited.

METHODS

This study measured body fat percentage (BFP), fat mass (FM), and fat-free mass (FFM) in 26 pediatric patients with obesity (BMI: 35.6±6.9 kg/m), using two bioelectrical impedance analysis (BIA) devices (TANITA and BIACORPUS), and the results were compared to those of the gold-standard dual-energy X-ray absorptiometry (DXA). Additionally, air displacement plethysmography (BODPOD) was compared with DXA, and all methods were evaluated against each other.

RESULTS

Significant differences were observed between all methods and parameters ( < 0.05). For example, Bland-Altman analysis for BFP identified differences between BIACORPUS and DXA (mean: -3.5%; 95% limits of agreement: -16.7% to 9.8%) and between TANITA and DXA (mean: -3.1%; 95% limits of agreement: -12.2% to 6.1%). These differences can be regarded as clinically relevant, especially when considering the 95% limits of agreement. Further, moderate differences between BODPOD and DXA were identified, which could be clinically relevant (mean: 2.1%; 95% limits of agreement: -4.2% to 8.5%).

CONCLUSIONS

TANITA was the most comparable BIA method to the gold standard, DXA. Therefore, TANITA is recommended for assessing body composition in young patients with obesity to monitor therapy progress in clinical settings. When using BODPOD as an alternative to DXA, caution is warranted since we found relevant differences between both methods.

摘要

背景

身体成分分析在临床实践中至关重要,但适合儿科患者的方法很少,且肥胖幼儿的数据有限。

方法

本研究使用两种生物电阻抗分析(BIA)设备(百利达和BIACORPUS)测量了26名肥胖儿科患者(BMI:35.6±6.9kg/m)的体脂百分比(BFP)、脂肪量(FM)和去脂体重(FFM),并将结果与金标准双能X线吸收法(DXA)的结果进行比较。此外,将空气置换体积描记法(BODPOD)与DXA进行比较,并对所有方法进行相互评估。

结果

所有方法和参数之间均观察到显著差异(<0.05)。例如,BFP的布兰德-奥特曼分析确定了BIACORPUS和DXA之间的差异(平均值:-3.5%;95%一致性界限:-16.7%至9.8%)以及百利达和DXA之间的差异(平均值:-3.1%;95%一致性界限:-12.2%至6.1%)。这些差异可被视为具有临床相关性,尤其是考虑到95%一致性界限时。此外,还确定了BODPOD和DXA之间存在中度差异,这可能具有临床相关性(平均值:2.1%;95%一致性界限:-4.2%至8.5%)。

结论

百利达是与金标准DXA最具可比性的BIA方法。因此,建议使用百利达评估肥胖年轻患者的身体成分,以监测临床环境中的治疗进展。当使用BODPOD替代DXA时,需谨慎,因为我们发现两种方法之间存在相关差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d3c/11946140/ab8790ee7459/nutrients-17-00971-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d3c/11946140/ae2627785dc5/nutrients-17-00971-g001a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d3c/11946140/6aeddb1e5a74/nutrients-17-00971-g002a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d3c/11946140/1161bb35ca18/nutrients-17-00971-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d3c/11946140/5fef88efaad8/nutrients-17-00971-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d3c/11946140/d646599ab52a/nutrients-17-00971-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d3c/11946140/ab8790ee7459/nutrients-17-00971-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d3c/11946140/ae2627785dc5/nutrients-17-00971-g001a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d3c/11946140/6aeddb1e5a74/nutrients-17-00971-g002a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d3c/11946140/1161bb35ca18/nutrients-17-00971-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d3c/11946140/5fef88efaad8/nutrients-17-00971-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d3c/11946140/d646599ab52a/nutrients-17-00971-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d3c/11946140/ab8790ee7459/nutrients-17-00971-g006.jpg

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