作者
Analiza M. Silva,Francesco Campa,Silvia Stagi,Luís Alberto Gobbo,Roberto Buffa,Stefania Toselli,Diego Augusto Santos Silva,Ezequiel Moreira Gonçalves,Raquel David Langer,Gil Guerra‐Júnior,Dalmo Roberto Lopes Machado,Emi Kondo,Hiroyuki Sagayama,Naomi Omi,Yosuke Yamada,Tsukasa Yoshida,Wataru Fukuda,Marı́a Cristina González,Silvana Paiva Orlandi,Josely Correa Koury,Tatiana Moro,Antonio Paoli,Herculina S. 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 Ghazzawi,Adam Tawfiq Amawi,Grant M. Tinsley,Suvi T. Kangas,Cécile Salpeteur,Adriana Vázquez‐Vázquez,Mary Fewtrell,Chiara Ceolin,Giuseppe Sergi,Leigh C. Ward,Berit L. Heitmann,Roberto Fernandes da Costa,Germán Vicente‐Rodríguez,Margherita Micheletti Cremasco,Alessia Moroni,John Shepherd,Jordan R. Moon,Tzachi Knaan,Manfred J. Müller,Wiebke Braun,José Manuel García‐Almeida,António L. Palmeira,Inês Santos,Sofus C. Larsen,Xueying Zhang,John R. Speakman,Lindsay D. Plank,Boyd Swinburn,Jude Thaddeus Ssensamba,Keisuke Shiose,Edílson Serpeloni Cyrino,Anja Bosy‐Westphal,Steven B. Heymsfield,Henry C. Lukaski,Luís B. Sardinha,Jonathan C. K. Wells,Elisabetta Marini
摘要
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.