The bioelectrical impedance analysis (BIA) international database: an update and ongoing call for data

Abstract The Bioelectrical Impedance Analysis International Database (BIAID) is an initiative aimed at pooling, standardizing and harmonizing bioelectrical impedance analysis (BIA) data across populations. This report provides a synthesis of the data currently available in the BIAID and an overview of the actions undertaken to date. The repository, which is based on raw bioelectrical values as minimal required data, has expanded over the past two years to include 321,680 individuals across the lifespan, encompassing both healthy and clinical populations and representing all WHO regions. A methodological questionnaire was also implemented to assess data quality and measurement protocols across contributing centers. To date, several research proposals using BIAID data have been approved, reflecting increasing scientific interest and use of the database. Continued data sharing and collaboration are essential to enhance the robustness, representativeness and global applicability of the database, promoting high-quality and reproducible research in nutritional science.

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Publication Details

Journal
European Journal of Clinical Nutrition
Published
2026-10-06
DOI
https://doi.org/10.1038/s41430-026-01828-w
Primary Topic
Body Composition Measurement Techniques
Type
article
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article

The bioelectrical impedance analysis (BIA) international database: an update and ongoing call for data

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European Journal of Clinical Nutrition
Body Composition Measurement Techniques
article

The bioelectrical impedance analysis (BIA) international database: an update and ongoing call for data

Naomi Omi, Grant M. Tinsley, Silvana Paiva Orlandi, Emanuele Cereda, Analiza Mónica Silva, A. Andréoli, John R. Speakman, Margherita Micheletti Cremasco, Hiroyuki Sagayama, Tatiana Moro, Alessia Moroni, Rúben Francisco, António Labisa Palmeira, Keisuke Shiose, Anuradha Vaman Khadilkar, Federica Moro, G Melchiorri, J. Manuel Torre Ruiz, Heliodoro Alemán-Mateo, Graham William Horgan, Darina Falbová, Kurt Zane Long, Fernanda Bernal-Ceballos, Alfredo Irurtia, Zachary Tausanovitch, Mary S. Fewtrell, Leigh C. Ward, Elisabetta Marini, Giuseppe Sergi, Markus Gerber, Niélé Hawa Diarra, Tzachi Knaan, Tiago R. Silva, Carrie P. Earthman, Riccardo Caccialanza, Natasha Lelijveld, Wataru Fukuda, Jude Thaddeus Ssensamba, Inês Santos, Antonio Paoli, Kazushige Oshita, Ezequiel Moreira Gonçalves, Manfred James Müller, Jeanette Bailey, Naomi M. Saville, Sofus Christian Larsen, Michela Barichella, Cristian Petri, Mario Mauro, Aletta Elisabeth Schutte, Desirée López-González, Filipe Jesus, Marta Arroyo‐Izaga, Marı́a Cristina González, Alaitz Poveda, Raquel David Langer, Berit L. Heitmann, Aleš Gába, Francesco Campa, Cécile Salpéteur, Gabriele Mascherini, Adam W. Potter, Suvi T. Kangas, Fredirick L. Mashili, Roberto Buffa, Chiara Ceolin, María Eugenia Ibáñez-Zamacona, Stefania Toselli, Jorge Castizo-Olier, Austin J. Graybeal, Gil B. Rosa, Jonathan C. K. Wells, Catarina L. Nunes, Luís Alberto Gobbo, Wiebke Braun, Aline Jelenkovic, Lilia Castillo-Martı́nez, Emi Kondo, Mario Cortina‐Borja, Rubina M. Mandlik, Lenka Vorobeľová, Simona Sulis, Marina Rui, DIEGO AUGUSTO SANTOS SILVA, Vanessa Fuchs, Francesco Sguaizer, Federica Frau, Gil Guerra-Júnior, Adriana Vazquez Vazquez, Roberto Fernandes da Costa, Jordan Moon, Vanessa Ribeiro dos Santos, Dalmo R. L. Machado, Laura Busert-Sebela, Josely C. Koury, Xueying Zhang, Karl E. Friedl, Ming Yang, Luiz Rodrigo A. de Lima, Salome Kruger
article en

Abstract

Abstract The Bioelectrical Impedance Analysis International Database (BIAID) is an initiative aimed at pooling, standardizing and harmonizing bioelectrical impedance analysis (BIA) data across populations. This report provides a synthesis of the data currently available in the BIAID and an overview of the actions undertaken to date. The repository, which is based on raw bioelectrical values as minimal required data, has expanded over the past two years to include 321,680 individuals across the lifespan, encompassing both healthy and clinical populations and representing all WHO regions. A methodological questionnaire was also implemented to assess data quality and measurement protocols across contributing centers. To date, several research proposals using BIAID data have been approved, reflecting increasing scientific interest and use of the database. Continued data sharing and collaboration are essential to enhance the robustness, representativeness and global applicability of the database, promoting high-quality and reproducible research in nutritional science.

European Journal of Clinical Nutrition
Università Cattolica del Sacro Cuore (IT), University of Rome Tor Vergata (IT), University of Miyazaki (JP), U.S. Army Research Institute of Environmental Medicine (US), Texas Tech University (US), Texas Christian University (US), Osaka University of Health and Sport Sciences (JP), University of Padua (IT), University of Lisbon (PT), University of Tsukuba (JP), Muhimbili University of Health and Allied Sciences (TZ), Swiss Tropical and Public Health Institute (CH), The University of Queensland (AU), University of the Basque Country (ES), Universidade Federal de Pelotas (BR), University of Cagliari (IT), Universidade Estadual de Campinas (UNICAMP) (BR), Universidade do Porto (PT), University of Basel (CH), University of Milan (IT), Okayama Prefectural University (JP), University of Aberdeen (GB), Chinese Academy of Sciences (CN), Sichuan University (CN), United States Sports Academy (US), North-West University (ZA), Makerere University Walter Reed Project (UG), Jehangir Hospital (IN), Frederiksberg Hospital (DK), Instituto de Salud Carlos III (ES), Bispebjerg Hospital (DK), Hospital General de México (MX), Copenhagen University Hospital (DK), UNSW Sydney (AU), Christian-Albrechts-Universität zu Kiel (DE), Universidade Federal do Rio Grande do Norte (BR), Universidade do Estado do Rio de Janeiro (BR), Universidad de Sonora (MX), Universidade Federal de Santa Catarina (BR), United States Army (US), West China Hospital of Sichuan University (CN), Atlântica Instituto Universitário (PT), Hospital Infantil de México Federico Gómez (MX), Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán (MX), Centro de Investigación en Alimentación y Desarrollo (MX), Maresme Health Consortium (ES), The George Institute for Global Health (AU), Instituto de Investigación Biosanitaria de Granada (ES), Istituto Ortopedico Gaetano Pini (IT), Biomathematics and Statistics Scotland (GB), Torino e-district (IT), International Rescue Committee (US), Shenzhen Institutes of Advanced Technology (CN), Universidade Lusófona do Porto (PT), Policlinico San Matteo Fondazione (IT), Instituto Federal de Educação, Ciência e Tecnologia de Alagoas (BR), Institut Nacional d'Educació Física de Catalunya (ES), Centro Interdisciplinar de Estudo da Performance Humana (PT), University of Florence (IT), University College London (GB), University of Bayreuth (DE), University of Turin (IT), Palacký University Olomouc (CZ), Comenius University Bratislava (SK), Universidade Federal de Alagoas (BR), University of Delaware (US), University of Bologna (IT), Universidad Pablo de Olavide (ES), Action Contre la Faim (FR)
Openalex Percentile: Top 12%
Body Composition Measurement Techniques
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