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The bioelectrical impedance analysis (BIA) international database: aims, scope, and call for data.

Authors :
Silva AM
Campa F
Stagi S
Gobbo LA
Buffa R
Toselli S
Silva DAS
Gonçalves EM
Langer RD
Guerra-Júnior G
Machado DRL
Kondo E
Sagayama H
Omi N
Yamada Y
Yoshida T
Fukuda W
Gonzalez MC
Orlandi SP
Koury JC
Moro T
Paoli A
Kruger S
Schutte AE
Andreolli A
Earthman CP
Fuchs-Tarlovsky V
Irurtia A
Castizo-Olier J
Mascherini G
Petri C
Busert LK
Cortina-Borja M
Bailey J
Tausanovitch Z
Lelijveld N
Ghazzawi HA
Amawi AT
Tinsley G
Kangas ST
Salpéteur C
Vázquez-Vázquez A
Fewtrell M
Ceolin C
Sergi G
Ward LC
Heitmann BL
da Costa RF
Vicente-Rodriguez G
Cremasco MM
Moroni A
Shepherd J
Moon J
Knaan T
Müller MJ
Braun W
García-Almeida JM
Palmeira AL
Santos I
Larsen SC
Zhang X
Speakman JR
Plank LD
Swinburn BA
Ssensamba JT
Shiose K
Cyrino ES
Bosy-Westphal A
Heymsfield SB
Lukaski H
Sardinha LB
Wells JC
Marini E
Source :
European journal of clinical nutrition [Eur J Clin Nutr] 2023 Dec; Vol. 77 (12), pp. 1143-1150. Date of Electronic Publication: 2023 Aug 02.
Publication Year :
2023

Abstract

Background: Bioelectrical impedance analysis (BIA) is a technique widely used for estimating body composition and health-related parameters. The technology is relatively simple, quick, and non-invasive, and is currently used globally in diverse settings, including private clinicians' offices, sports and health clubs, and hospitals, and across a spectrum of age, body weight, and disease states. BIA parameters can be used to estimate body composition (fat, fat-free mass, total-body water and its compartments). Moreover, raw measurements including resistance, reactance, phase angle, and impedance vector length can also be used to track health-related markers, including hydration and malnutrition, and disease-prognostic, athletic and general health status. Body composition shows profound variability in association with age, sex, race and ethnicity, geographic ancestry, lifestyle, and health status. To advance understanding of this variability, we propose to develop a large and diverse multi-country dataset of BIA raw measures and derived body components. The aim of this paper is to describe the 'BIA International Database' project and encourage researchers to join the consortium.<br />Methods: The Exercise and Health Laboratory of the Faculty of Human Kinetics, University of Lisbon has agreed to host the database using an online portal. At present, the database contains 277,922 measures from individuals ranging from 11 months to 102 years, along with additional data on these participants.<br />Conclusion: The BIA International Database represents a key resource for research on body composition.<br /> (© 2023. The Author(s), under exclusive licence to Springer Nature Limited.)

Details

Language :
English
ISSN :
1476-5640
Volume :
77
Issue :
12
Database :
MEDLINE
Journal :
European journal of clinical nutrition
Publication Type :
Academic Journal
Accession number :
37532867
Full Text :
https://doi.org/10.1038/s41430-023-01310-x