دورية أكاديمية

Validation of bioelectrical impedance analysis for body composition assessment in children with obesity aged 8-14y.

التفاصيل البيبلوغرافية
العنوان: Validation of bioelectrical impedance analysis for body composition assessment in children with obesity aged 8-14y.
المؤلفون: Gutiérrez-Marín, Desirée, Escribano, Joaquin, Closa-Monasterolo, Ricardo, Ferré, Natalia, Venables, Michelle, Singh, Priya, Wells, Jonathan Ck, Muñoz-Hernando, Judit, Zaragoza-Jordana, Marta, Gispert-Llauradó, Mariona, Rubio-Torrents, Carme, Alcázar, Mireia, Núñez-Roig, Mercè, Feliu, Albert, Basora, Josep, González-Hidalgo, Rosa, Diéguez, Mónica, Salvadó, Olga, Pedraza, Ana, Luque, Veronica
بيانات النشر: Elsevier BV
//dx.doi.org/10.1016/j.clnu.2021.02.001
Clin Nutr
سنة النشر: 2021
المجموعة: Apollo - University of Cambridge Repository
مصطلحات موضوعية: Bioelectrical impedance, Body composition, Childhood obesity, Fat free mass, Fat mass, Validation studies, Absorptiometry, Photon, Adolescent, Anthropometry, Body Water, Child, Cross-Sectional Studies, Electric Impedance, Female, Humans, Indicator Dilution Techniques, Male, Pediatric Obesity, Plethysmography, Predictive Value of Tests, Randomized Controlled Trials as Topic, Reproducibility of Results
الوصف: BACKGROUND & AIMS: The aim was to generate a predictive equation to assess body composition (BC) in children with obesity using bioimpedance (BIA), and avoid bias produced by different density levels of fat free mass (FFM) in this population. METHODS: This was a cross-sectional validation study using baseline data from a randomized intervention trial to treat childhood obesity. Participants were 8 to 14y (n = 315), underwent assessments on anthropometry and BC through Air Displacement Plethysmography (ADP), Dual X-Ray Absorptiometry and BIA. They were divided into a training (n = 249) and a testing subset (n = 66). In addition, the testing subset underwent a total body water assessment using deuterium dilution, and thus obtained results for the 4-compartment model (4C). A new equation to estimate FFM was created from the BIA outputs by comparison to a validated model of ADP adjusted by FFM density in the training subset. The equation was validated against 4C in the testing subset. As reference, the outputs from the BIA device were also compared to 4C. RESULTS: The predictive equation reduced the bias from the BIA outputs from 14.1% (95%CI: 12.7, 15.4) to 4.6% (95%CI: 3.8, 5.4) for FFM and from 18.4% (95%CI: 16.9, 19.9) to 6.4% (95% CI: 5.3, 7.4) for FM. Bland-Altman plots revealed that the new equation significantly improved the agreement with 4C; furthermore, the observed trend to increase the degree of bias with increasing FM and FFM also disappeared. CONCLUSION: The new predictive equation increases the precision of BC assessment using BIA in children with obesity.
نوع الوثيقة: article in journal/newspaper
وصف الملف: Print-Electronic; application/vnd.openxmlformats-officedocument.wordprocessingml.document
اللغة: English
العلاقة: https://www.repository.cam.ac.uk/handle/1810/317245Test
DOI: 10.17863/CAM.64358
الإتاحة: https://doi.org/10.17863/CAM.64358Test
https://www.repository.cam.ac.uk/handle/1810/317245Test
حقوق: Attribution-NonCommercial-NoDerivatives 4.0 International ; https://creativecommons.org/licenses/by-nc-nd/4.0Test/
رقم الانضمام: edsbas.6C0C4D85
قاعدة البيانات: BASE