TY - JOUR

T1 - The bioelectrical impedance analysis (BIA) international database

T2 - aims, scope, and call for data

AU - Silva, Analiza M.

AU - Campa, Francesco

AU - Stagi, Silvia

AU - Gobbo, Luís A.

AU - Buffa, Roberto

AU - Toselli, Stefania

AU - Silva, Diego Augusto Santos

AU - Gonçalves, Ezequiel M.

AU - Langer, Raquel D.

AU - Guerra-Júnior, Gil

AU - Machado, Dalmo R.L.

AU - Kondo, Emi

AU - Sagayama, Hiroyuki

AU - Omi, Naomi

AU - Yamada, Yosuke

AU - Yoshida, Tsukasa

AU - Fukuda, Wataru

AU - Gonzalez, Maria Cristina

AU - Orlandi, Silvana P.

AU - Koury, Josely C.

AU - Moro, Tatiana

AU - Paoli, Antonio

AU - Kruger, Salome

AU - Schutte, Aletta E.

AU - Andreolli, Angela

AU - Earthman, Carrie P.

AU - Fuchs-Tarlovsky, Vanessa

AU - Irurtia, Alfredo

AU - Castizo-Olier, Jorge

AU - Mascherini, Gabriele

AU - Petri, Cristian

AU - Busert, Laura K.

AU - Cortina-Borja, Mario

AU - Bailey, Jeanette

AU - Tausanovitch, Zachary

AU - Lelijveld, Natasha

AU - Ghazzawi, Hadeel Ali

AU - Amawi, Adam Tawfiq

AU - Tinsley, Grant

AU - Kangas, Suvi T.

AU - Salpéteur, Cécile

AU - Vázquez-Vázquez, Adriana

AU - Fewtrell, Mary

AU - Ceolin, Chiara

AU - Sergi, Giuseppe

AU - Ward, Leigh C.

AU - Heitmann, Berit L.

AU - da Costa, Roberto Fernandes

AU - Vicente-Rodriguez, German

AU - Cremasco, Margherita Micheletti

AU - Moroni, Alessia

AU - Shepherd, John

AU - Moon, Jordan

AU - Knaan, Tzachi

AU - Müller, Manfred J.

AU - Braun, Wiebke

AU - García‐Almeida, José M.

AU - Palmeira, António L.

AU - Santos, Inês

AU - Larsen, Sofus C.

AU - Zhang, Xueying

AU - Speakman, John R.

AU - Plank, Lindsay D.

AU - Swinburn, Boyd A.

AU - Ssensamba, Jude Thaddeus

AU - Shiose, Keisuke

AU - Cyrino, Edilson S.

AU - Bosy-Westphal, Anja

AU - Heymsfield, Steven B.

AU - Lukaski, Henry

AU - Sardinha, Luís B.

AU - Wells, Jonathan C.

AU - Marini, Elisabetta

N1 - Publisher Copyright: © 2023, The Author(s), under exclusive licence to Springer Nature Limited.

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

U2 - 10.1038/s41430-023-01310-x

DO - 10.1038/s41430-023-01310-x

M3 - Journal article

C2 - 37532867

AN - SCOPUS:85166585458

VL - 77

SP - 1143

EP - 1150

JO - European Journal of Clinical Nutrition

JF - European Journal of Clinical Nutrition

SN - 0954-3007

ER -