Utilize este identificador para referenciar este registo: http://hdl.handle.net/10451/59917
Título: The bioelectrical impedance analysis [BIA] international database: aims, scope, and call for data
Autor: Silva, Analiza M
Campa, Francesco
Stagi, Silvia
Gobbo, Luís A.
Buffa, Roberto
Toselli, Stefania
Silva, Diego Augusto Santos
Gonçalves, Ezequiel M.
Langer, Raquel D.
Guerra-Júnior, Gil
Machado, Dalmo R. L.
Kondo, Emi
Sagayama, Hiroyuki
Omi, Naomi
Yamada, Yosuke
Yoshida, Tsukasa
Fukuda, Wataru
Gonzalez, Maria Cristina
Orlandi, Silvana P.
Koury, Josely C.
Moro, Tatiana
Paoli, Antonio
Kruger, Salome
Schutte, Aletta E.
Andreolli, Angela
Earthman, Carrie P.
Fuchs-Tarlovsky, Vanessa
Irurtia, Alfredo
Castizo-Olier, Jorge
Mascherini, Gabriele
Petri, Cristian
Busert, Laura K.
Cortina-Borja, Mario
Bailey, Jeanette
Tausanovitch, Zachary
Lelijveld, Natasha
Ghazzawi, Hadeel Ali
Amawi, Adam Tawfiq
Tinsley, Grant
Kangas, Suvi T.
Salpéteur, Cécile
Vázquez-Vázquez, Adriana
Fewtrell, Mary
Ceolin, Chiara
Sergi, Giuseppe
Ward, Leigh C.
Heitmann, Berit L.
da Costa, Roberto Fernandes
Vicente-Rodriguez, German
Cremasco, Margherita Micheletti
Moroni, Alessia
Shepherd, John
Moon, Jordan
Knaan, Tzachi
Müller, Manfred J.
Braun, Wiebke
García‐Almeida, José M.
Palmeira, António L.
Santos, Inês
Larsen, Sofus C.
Zhang, Xueying
Speakman, John R.
Plank, Lindsay D.
Swinburn, Boyd A.
Ssensamba, Jude Thaddeus
Shiose, Keisuke
Cyrino, Edilson S.
Bosy-Westphal, Anja
Heymsfield, Steven B.
Lukaski, Henry
Sardinha, Luís B.
Wells, Jonathan C.
Marini, Elisabetta
Data: 2023
Editora: Springer Nature
Citação: Eur J Clin Nutr. 2023 Aug 2
Resumo: 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.
Descrição: © The Author(s), under exclusive licence to Springer Nature Limited 2023
Peer review: yes
URI: http://hdl.handle.net/10451/59917
DOI: 10.1038/s41430-023-01310-x
ISSN: 0954-3007
Versão do Editor: https://www.nature.com/ejcn/
Aparece nas colecções:FM-LN-Artigos em Revistas Internacionais

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