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Original title:
Assessing Diversity in Predictive Equations for Body Compartment Estimation
Authors: Kampo, Dávid
Document type: Papers
Language: eng
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract: This paper evaluates the validity of prediction equations for estimating total body water (TBW), extracellular water (ECW), fat-free mass (FFM), and body cell mass (BCM) using bioelectrical impedance analysis (BIA). The study focuses on a sample of 10 Czech individuals of European ethnicity. Prediction equations were selected based on similarity to the study population and were compared to reference ranges for accuracy. Findings show promising outcomes for TBW estimation, with low relative errors (RE) of 0.11% and -3.26% for equations by Deurenberg et al. and Kotler et al. respectively. Matias et al.’s equation for ECW estimation demonstrated the most accurate results with an RE of 2.13%. For FFM estimation, equations by Lukaski et al. and Deurenberg et al. showed favorable outcomes with RE values of 4.4% and -1.27% respectively. However, none of the BCM prediction equations provided satisfactory accuracy. Further research with larger sample sizes is needed for more accurate validation. Nonetheless, this study offers valuable insights into selecting appropriate prediction equations for BIAbased body composition analysis.
Keywords: bioelectrical impedance analysis; body cell mass; body composition; extracellular water; fat free mass; multi-frequency BIA; prediction equations; total body water
Host item entry: Proceedings II of the 30st Conference STUDENT EEICT 2024: Selected papers, ISBN 978-80-214-6230-4, ISSN 2788-1334
Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: https://hdl.handle.net/11012/249301
Permalink: http://www.nusl.cz/ntk/nusl-622573
The record appears in these collections:
Universities and colleges > Public universities > Brno University of Technology
Conference materials > Papers
Authors: Kampo, Dávid
Document type: Papers
Language: eng
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract: This paper evaluates the validity of prediction equations for estimating total body water (TBW), extracellular water (ECW), fat-free mass (FFM), and body cell mass (BCM) using bioelectrical impedance analysis (BIA). The study focuses on a sample of 10 Czech individuals of European ethnicity. Prediction equations were selected based on similarity to the study population and were compared to reference ranges for accuracy. Findings show promising outcomes for TBW estimation, with low relative errors (RE) of 0.11% and -3.26% for equations by Deurenberg et al. and Kotler et al. respectively. Matias et al.’s equation for ECW estimation demonstrated the most accurate results with an RE of 2.13%. For FFM estimation, equations by Lukaski et al. and Deurenberg et al. showed favorable outcomes with RE values of 4.4% and -1.27% respectively. However, none of the BCM prediction equations provided satisfactory accuracy. Further research with larger sample sizes is needed for more accurate validation. Nonetheless, this study offers valuable insights into selecting appropriate prediction equations for BIAbased body composition analysis.
Keywords: bioelectrical impedance analysis; body cell mass; body composition; extracellular water; fat free mass; multi-frequency BIA; prediction equations; total body water
Host item entry: Proceedings II of the 30st Conference STUDENT EEICT 2024: Selected papers, ISBN 978-80-214-6230-4, ISSN 2788-1334
Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: https://hdl.handle.net/11012/249301
Permalink: http://www.nusl.cz/ntk/nusl-622573
The record appears in these collections:
Universities and colleges > Public universities > Brno University of Technology
Conference materials > Papers
Record created 2024-07-21, last modified 2024-07-21