Articles producció científica> Medicina i Cirurgia

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

  • Identification data

    Identifier: imarina:9162281
    Authors:
    Gutierrez-Marin, DesireeEscribano, JoaquinClosa-Monasterolo, RicardoFerre, NataliaVenables, MichelleSingh, PriyaWells, Jonathan CkMunoz-Hernando, JuditZaragoza-Jordana, MartaGispert-Llaurado, MarionaRubio-Torrents, CarmeAlcazar, MireiaNunez-Roig, MerceFeliu, AlbertBasora, JosepGonzalez-Hidalgo, RosaDieguez, MonicaSalvado, OlgaPedraza, AnaLuque, Veronica
    Abstract:
    © 2021 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism 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.
  • Others:

    Author, as appears in the article.: Gutierrez-Marin, Desiree; Escribano, Joaquin; Closa-Monasterolo, Ricardo; Ferre, Natalia; Venables, Michelle; Singh, Priya; Wells, Jonathan Ck; Munoz-Hernando, Judit; Zaragoza-Jordana, Marta; Gispert-Llaurado, Mariona; Rubio-Torrents, Carme; Alcazar, Mireia; Nunez-Roig, Merce; Feliu, Albert; Basora, Josep; Gonzalez-Hidalgo, Rosa; Dieguez, Monica; Salvado, Olga; Pedraza, Ana; Luque, Veronica
    Department: Medicina i Cirurgia
    URV's Author/s: Alcázar López, Mireia / Closa Monasterolo, Ricardo / Diéguez Fernández, Montserrat / Escribano Subías, Joaquín / Feliu Rovira, Albert / Ferre Pallas, Natalia / Gispert Llauradó, Mariona / GUTIÉRREZ MARÍN, DESIRÉE / Luque Moreno, Verònica / Muñoz Hernando, Judit / RUBIO TORRENTS, MARÍA DEL CARMEN / Salvadó Ruiz, Oriol / Zaragoza Jordana, Ma
    Keywords: X-ray absorptiometry Validation studies Reproducibility of results Randomized controlled trials as topic Predictive value of tests Plethysmography Pediatric obesity Male Indicator dilution techniques Humans Female Fat mass Fat free mass Electric impedance Cross-sectional studies Childhood obesity Child Body water Body composition Bioelectrical impedance Anthropometry Adolescent Absorptiometry, photon validity validation studies mass index hydration fat mass fat free mass dxa childhood obesity bioelectrical impedance american air-displacement plethysmography adolescents 4-component model
    Abstract: © 2021 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism 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.
    Thematic Areas: Saúde coletiva Química Odontología Nutrition and dietetics Nutrition & dietetics Nutrição Medicina iii Medicina ii Medicina i Interdisciplinar General medicine Farmacia Engenharias iv Enfermagem Educação física Critical care and intensive care medicine Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciência de alimentos Biotecnología
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: oriol.salvado@urv.cat veronica.luque@urv.cat mariona.gispert@urv.cat mariona.gispert@urv.cat marta.zaragoza@urv.cat marta.zaragoza@urv.cat albert.feliu@urv.cat oriol.salvado@urv.cat judit.munoz@urv.cat judit.munoz@urv.cat judit.munoz@urv.cat ricardo.closa@urv.cat mireia.alcazar@urv.cat natalia.ferre@urv.cat montserrat.dieguez@urv.cat joaquin.escribano@urv.cat
    Author identifier: 0000-0003-2615-8175 0000-0002-9963-4163 0000-0001-9813-4645 0000-0002-2838-1525 0000-0002-8450-0656 0000-0002-5041-459X
    Record's date: 2024-09-21
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://www.clinicalnutritionjournal.com/article/S0261-5614(21)00074-1/fulltext#%20
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Clinical Nutrition. 40 (6): 4132-4139
    APA: Gutierrez-Marin, Desiree; Escribano, Joaquin; Closa-Monasterolo, Ricardo; Ferre, Natalia; Venables, Michelle; Singh, Priya; Wells, Jonathan Ck; Munoz- (2021). Validation of bioelectrical impedance analysis for body composition assessment in children with obesity aged 8-14y. Clinical Nutrition, 40(6), 4132-4139. DOI: 10.1016/j.clnu.2021.02.001
    Article's DOI: 10.1016/j.clnu.2021.02.001
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2021
    Publication Type: Journal Publications
  • Keywords:

    Critical Care and Intensive Care Medicine,Nutrition & Dietetics,Nutrition and Dietetics
    X-ray absorptiometry
    Validation studies
    Reproducibility of results
    Randomized controlled trials as topic
    Predictive value of tests
    Plethysmography
    Pediatric obesity
    Male
    Indicator dilution techniques
    Humans
    Female
    Fat mass
    Fat free mass
    Electric impedance
    Cross-sectional studies
    Childhood obesity
    Child
    Body water
    Body composition
    Bioelectrical impedance
    Anthropometry
    Adolescent
    Absorptiometry, photon
    validity
    validation studies
    mass index
    hydration
    fat mass
    fat free mass
    dxa
    childhood obesity
    bioelectrical impedance
    american
    air-displacement plethysmography
    adolescents
    4-component model
    Saúde coletiva
    Química
    Odontología
    Nutrition and dietetics
    Nutrition & dietetics
    Nutrição
    Medicina iii
    Medicina ii
    Medicina i
    Interdisciplinar
    General medicine
    Farmacia
    Engenharias iv
    Enfermagem
    Educação física
    Critical care and intensive care medicine
    Ciências biológicas iii
    Ciências biológicas ii
    Ciências biológicas i
    Ciência de alimentos
    Biotecnología
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