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

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; Berit L. Heitmann; 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

doi:10.1038/s41430-023-01310-x

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

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. KouryTatiana 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, Berit L. Heitmann, 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

^*Corresponding author af dette arbejde

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

12 Citationer (Scopus)

Abstract

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.

Originalsprog	Engelsk
Tidsskrift	European Journal of Clinical Nutrition
Vol/bind	77
Sider (fra-til)	1143–1150
Antal sider	8
ISSN	0954-3007
DOI	https://doi.org/10.1038/s41430-023-01310-x
Status	Udgivet - 2023

Bibliografisk note

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

Adgang til dokumentet

10.1038/s41430-023-01310-x

Citationsformater

Silva, A. M., Campa, F., Stagi, S., Gobbo, L. A., Buffa, R., Toselli, S., Silva, D. A. S., Gonçalves, E. M., Langer, R. D., Guerra-Júnior, G., Machado, D. R. L., Kondo, E., Sagayama, H., Omi, N., Yamada, Y., Yoshida, T., Fukuda, W., Gonzalez, M. C., Orlandi, S. P., ... Marini, E. (2023). The bioelectrical impedance analysis (BIA) international database: aims, scope, and call for data. European Journal of Clinical Nutrition, 77, 1143–1150. https://doi.org/10.1038/s41430-023-01310-x

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

I: European Journal of Clinical Nutrition, Bind 77, 2023, s. 1143–1150.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

Silva, AM, Campa, F, Stagi, S, Gobbo, LA, Buffa, R, Toselli, S, Silva, DAS, Gonçalves, EM, Langer, RD, Guerra-Júnior, G, Machado, DRL, Kondo, E, Sagayama, H, Omi, N, Yamada, Y, Yoshida, T, Fukuda, W, Gonzalez, MC, Orlandi, SP, Koury, JC, Moro, T, Paoli, A, Kruger, S, Schutte, AE, Andreolli, A, Earthman, CP, Fuchs-Tarlovsky, V, Irurtia, A, Castizo-Olier, J, Mascherini, G, Petri, C, Busert, LK, Cortina-Borja, M, Bailey, J, Tausanovitch, Z, Lelijveld, N, Ghazzawi, HA, Amawi, AT, Tinsley, G, Kangas, ST, Salpéteur, C, Vázquez-Vázquez, A, Fewtrell, M, Ceolin, C, Sergi, G, Ward, LC, Heitmann, BL, da Costa, RF, Vicente-Rodriguez, G, Cremasco, MM, Moroni, A, Shepherd, J, Moon, J, Knaan, T, Müller, MJ, Braun, W, García‐Almeida, JM, Palmeira, AL, Santos, I, Larsen, SC, Zhang, X, Speakman, JR, Plank, LD, Swinburn, BA, Ssensamba, JT, Shiose, K, Cyrino, ES, Bosy-Westphal, A, Heymsfield, SB, Lukaski, H, Sardinha, LB, Wells, JC & Marini, E 2023, 'The bioelectrical impedance analysis (BIA) international database: aims, scope, and call for data', European Journal of Clinical Nutrition, bind 77, s. 1143–1150. https://doi.org/10.1038/s41430-023-01310-x

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. / The bioelectrical impedance analysis (BIA) international database : aims, scope, and call for data. I: European Journal of Clinical Nutrition. 2023 ; Bind 77. s. 1143–1150.

@article{d264ae4c41f64ff298b6a378b5039938,

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

abstract = "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{\textquoteright} 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 {\textquoteleft}BIA International Database{\textquoteright} 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.",

author = "Silva, {Analiza M.} and Francesco Campa and Silvia Stagi and Gobbo, {Lu{\'i}s A.} and Roberto Buffa and Stefania Toselli and Silva, {Diego Augusto Santos} and Gon{\c c}alves, {Ezequiel M.} and Langer, {Raquel D.} and Gil Guerra-J{\'u}nior and Machado, {Dalmo R.L.} and Emi Kondo and Hiroyuki Sagayama and Naomi Omi and Yosuke Yamada and Tsukasa Yoshida and Wataru Fukuda and Gonzalez, {Maria Cristina} and Orlandi, {Silvana P.} and Koury, {Josely C.} and Tatiana Moro and Antonio Paoli and Salome Kruger and Schutte, {Aletta E.} and Angela Andreolli and Earthman, {Carrie P.} and Vanessa Fuchs-Tarlovsky and Alfredo Irurtia and Jorge Castizo-Olier and Gabriele Mascherini and Cristian Petri and Busert, {Laura K.} and Mario Cortina-Borja and Jeanette Bailey and Zachary Tausanovitch and Natasha Lelijveld and Ghazzawi, {Hadeel Ali} and Amawi, {Adam Tawfiq} and Grant Tinsley and Kangas, {Suvi T.} and C{\'e}cile Salp{\'e}teur and Adriana V{\'a}zquez-V{\'a}zquez and Mary Fewtrell and Chiara Ceolin and Giuseppe Sergi and Ward, {Leigh C.} and Heitmann, {Berit L.} and {da Costa}, {Roberto Fernandes} and German Vicente-Rodriguez and Cremasco, {Margherita Micheletti} and Alessia Moroni and John Shepherd and Jordan Moon and Tzachi Knaan and M{\"u}ller, {Manfred J.} and Wiebke Braun and Garc{\'i}a‐Almeida, {Jos{\'e} M.} and Palmeira, {Ant{\'o}nio L.} and In{\^e}s Santos and Larsen, {Sofus C.} and Xueying Zhang and Speakman, {John R.} and Plank, {Lindsay D.} and Swinburn, {Boyd A.} and Ssensamba, {Jude Thaddeus} and Keisuke Shiose and Cyrino, {Edilson S.} and Anja Bosy-Westphal and Heymsfield, {Steven B.} and Henry Lukaski and Sardinha, {Lu{\'i}s B.} and Wells, {Jonathan C.} and Elisabetta Marini",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive licence to Springer Nature Limited.",

year = "2023",

doi = "10.1038/s41430-023-01310-x",

language = "English",

volume = "77",

pages = "1143–1150",

journal = "European Journal of Clinical Nutrition",

issn = "0954-3007",

publisher = "nature publishing group",

}

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

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 -