Effect of total body water estimates via bioimpedance on bod pod-based three-compartment body fat models.
Journal
European journal of clinical nutrition
ISSN: 1476-5640
Titre abrégé: Eur J Clin Nutr
Pays: England
ID NLM: 8804070
Informations de publication
Date de publication:
04 2022
04 2022
Historique:
received:
25
02
2021
accepted:
05
07
2021
revised:
26
05
2021
pubmed:
21
7
2021
medline:
13
4
2022
entrez:
20
7
2021
Statut:
ppublish
Résumé
Previous research has compared 2- and 3-compartment (2C and 3C, respectively) models against criterion 4-compartment (4C) models while utilizing the same body density (D The purpose of this study was to determine the effect of total body water estimates via single-frequency (SF-BIA) and multi-frequency (MF-BIA) bioimpedance analysis on body fat estimates derived from air displacement plethysmography (ADP)-derived 3C models. A sample of 95 females and 82 males (n = 177) participated in this study. Underwater weighing, dual energy X-ray absorptiometry, and bioimpedance spectroscopy were used to calculate percent fat (%Fat) via a criterion 4C model (4C The standard error of estimate (SEE) was lowest for 3C Results suggest that SF-BIA and MF-BIA can improve the estimation of %Fat, beyond simpler 2C models, when integrated with ADP in a more advanced 3C model. Furthermore, the present study revealed that 3C
Sections du résumé
BACKGROUND/OBJECTIVES
Previous research has compared 2- and 3-compartment (2C and 3C, respectively) models against criterion 4-compartment (4C) models while utilizing the same body density (D
PURPOSE
The purpose of this study was to determine the effect of total body water estimates via single-frequency (SF-BIA) and multi-frequency (MF-BIA) bioimpedance analysis on body fat estimates derived from air displacement plethysmography (ADP)-derived 3C models.
SUBJECTS/METHODS
A sample of 95 females and 82 males (n = 177) participated in this study. Underwater weighing, dual energy X-ray absorptiometry, and bioimpedance spectroscopy were used to calculate percent fat (%Fat) via a criterion 4C model (4C
RESULTS
The standard error of estimate (SEE) was lowest for 3C
CONCLUSIONS
Results suggest that SF-BIA and MF-BIA can improve the estimation of %Fat, beyond simpler 2C models, when integrated with ADP in a more advanced 3C model. Furthermore, the present study revealed that 3C
Identifiants
pubmed: 34282292
doi: 10.1038/s41430-021-00982-7
pii: 10.1038/s41430-021-00982-7
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
581-587Informations de copyright
© 2021. The Author(s), under exclusive licence to Springer Nature Limited.
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