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. 2023 Dec;77(12):1143-1150.
doi: 10.1038/s41430-023-01310-x. Epub 2023 Aug 2.

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

Analiza M Silva  1 Francesco Campa  2 Silvia Stagi  3 Luís A Gobbo  4 Roberto Buffa  3 Stefania Toselli  5 Diego Augusto Santos Silva  6 Ezequiel M Gonçalves  7 Raquel D Langer  7 Gil Guerra-Júnior  7 Dalmo R L Machado  8 Emi Kondo  9 Hiroyuki Sagayama  9 Naomi Omi  9 Yosuke Yamada  10 Tsukasa Yoshida  10 Wataru Fukuda  11 Maria Cristina Gonzalez  12 Silvana P Orlandi  13 Josely C Koury  14 Tatiana Moro  2 Antonio Paoli  2 Salome Kruger  15 Aletta E Schutte  16 Angela Andreolli  17 Carrie P Earthman  18 Vanessa Fuchs-Tarlovsky  19 Alfredo Irurtia  20 Jorge Castizo-Olier  21 Gabriele Mascherini  22 Cristian Petri  23 Laura K Busert  24 Mario Cortina-Borja  24 Jeanette Bailey  25 Zachary Tausanovitch  25 Natasha Lelijveld  26 Hadeel Ali Ghazzawi  27 Adam Tawfiq Amawi  28 Grant Tinsley  29 Suvi T Kangas  25 Cécile Salpéteur  30 Adriana Vázquez-Vázquez  24 Mary Fewtrell  24 Chiara Ceolin  31 Giuseppe Sergi  31 Leigh C Ward  32 Berit L Heitmann  33   34 Roberto Fernandes da Costa  35 German Vicente-Rodriguez  36 Margherita Micheletti Cremasco  37 Alessia Moroni  37 John Shepherd  38 Jordan Moon  39 Tzachi Knaan  40 Manfred J Müller  41 Wiebke Braun  41 José M García-Almeida  42 António L Palmeira  43 Inês Santos  44 Sofus C Larsen  45   46 Xueying Zhang  47 John R Speakman  47   48 Lindsay D Plank  49 Boyd A Swinburn  50 Jude Thaddeus Ssensamba  51   52 Keisuke Shiose  53 Edilson S Cyrino  54 Anja Bosy-Westphal  41 Steven B Heymsfield  55 Henry Lukaski  56 Luís B Sardinha  57 Jonathan C Wells  24 Elisabetta Marini  3
Affiliations

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

Analiza M Silva et al. Eur J Clin Nutr. 2023 Dec.

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.

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.

Conclusion: The BIA International Database represents a key resource for research on body composition.

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