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

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  • Analiza M. Silva
  • Francesco Campa
  • Silvia Stagi
  • Luís A. Gobbo
  • Roberto Buffa
  • Stefania Toselli
  • Diego Augusto Santos Silva
  • Ezequiel M. Gonçalves
  • Raquel D. Langer
  • Gil Guerra-Júnior
  • Dalmo R.L. Machado
  • Emi Kondo
  • Hiroyuki Sagayama
  • Naomi Omi
  • Yosuke Yamada
  • Tsukasa Yoshida
  • Wataru Fukuda
  • Maria Cristina Gonzalez
  • Silvana P. Orlandi
  • Josely C. Koury
  • Tatiana Moro
  • Antonio Paoli
  • Salome Kruger
  • Aletta E. Schutte
  • Angela Andreolli
  • Carrie P. Earthman
  • Vanessa Fuchs-Tarlovsky
  • Alfredo Irurtia
  • Jorge Castizo-Olier
  • Gabriele Mascherini
  • Cristian Petri
  • Laura K. Busert
  • Mario Cortina-Borja
  • Jeanette Bailey
  • Zachary Tausanovitch
  • Natasha Lelijveld
  • Hadeel Ali Ghazzawi
  • Adam Tawfiq Amawi
  • Grant Tinsley
  • Suvi T. Kangas
  • Cécile Salpéteur
  • Adriana Vázquez-Vázquez
  • Mary Fewtrell
  • Chiara Ceolin
  • Giuseppe Sergi
  • Leigh C. Ward
  • Roberto Fernandes da Costa
  • German Vicente-Rodriguez
  • Margherita Micheletti Cremasco
  • Alessia Moroni
  • John Shepherd
  • Jordan Moon
  • Tzachi Knaan
  • Manfred J. Müller
  • Wiebke Braun
  • José M. García‐Almeida
  • António L. Palmeira
  • Inês Santos
  • Sofus C. Larsen
  • Xueying Zhang
  • John R. Speakman
  • Lindsay D. Plank
  • Boyd A. Swinburn
  • Jude Thaddeus Ssensamba
  • Keisuke Shiose
  • Edilson S. Cyrino
  • Anja Bosy-Westphal
  • Steven B. Heymsfield
  • Henry Lukaski
  • Luís B. Sardinha
  • Jonathan C. Wells
  • Elisabetta Marini
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.

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.

The BIA International Database represents a key resource for research on body composition.
TidsskriftEuropean Journal of Clinical Nutrition
Sider (fra-til)1143–1150
Antal sider8
StatusUdgivet - 2023

Bibliografisk note

Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer Nature Limited.

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