Bioimpedance analysis of body composition in an international twin cohort

Research output: Contribution to journalArticle

Adam D. Tarnoki, David L. Tarnoki, Emanuela Medda, Rodolfo Cotichini, Maria A. Stazi, Corrado Fagnani, Lorenza Nisticò, Pierleone Lucatelli, Emanuele Boatta, Chiara Zini, Fabrizio Fanelli, Claudio Baracchini, Giorgio Meneghetti, Giuseppe Schillaci, Janos Osztovits, Gyorgy Jermendy, Róbert G. Kiss, István Préda, Kinga Karlinger, Agnes Lannert & 6 others Julia Metneki, Andrea A. Molnar, Zsolt Garami, Viktor Berczi, Ildiko Halasz, Gyorgy Baffy

Objective: Multiple twin studies have demonstrated the heritability of anthropometric and metabolic traits. However, assessment of body composition parameters by bioimpedance analysis (BIA) has not been routinely performed in this setting. Design: A cross-sectional study. Setting: Study subjects were recruited and assessed at twin festivals or at major university hospitals in Italy, Hungary, and the United States to estimate the influence of genetic and environmental components on body composition parameters in a large, wide age range, international twin cohort by using bioelectrical impedance analysis. Subjects: 380 adult twin pairs (230 monozygotic and 150 dizygotic pairs; male:female ratio, 68:32; age years 49.1 ± 15.4; mean ± standard deviation; age range 18-82) were included in the analysis. Results: Heritability was calculated for weight (82%; 95% confidence interval [CI]: 78-85), waist and hip circumferences (74%; 95%CI: 68-79), body fat percentage (74%; 95%CI: 69-79), fat-free mass (74%; 95%CI: 69-79) and body mass index (79%; 95%CI: 74-83). The completely environmental model showed no impact of shared environmental effects on the variance, while unshared environmental effects were estimated as between 18% and 26%. Conclusions: BIA findings provide additional evidence to the heritability of anthropometric attributes related to obesity and indicate the practical value of this simple method in supporting efforts to prevent obesity-related adverse health events.

Original languageEnglish
JournalObesity Research and Clinical Practice
Volume8
Issue number3
DOIs
StatePublished - Jan 1 2014

PMID: 24847671

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Bioimpedance analysis of body composition in an international twin cohort. / Tarnoki, Adam D.; Tarnoki, David L.; Medda, Emanuela; Cotichini, Rodolfo; Stazi, Maria A.; Fagnani, Corrado; Nisticò, Lorenza; Lucatelli, Pierleone; Boatta, Emanuele; Zini, Chiara; Fanelli, Fabrizio; Baracchini, Claudio; Meneghetti, Giorgio; Schillaci, Giuseppe; Osztovits, Janos; Jermendy, Gyorgy; Kiss, Róbert G.; Préda, István; Karlinger, Kinga; Lannert, Agnes; Metneki, Julia; Molnar, Andrea A.; Garami, Zsolt; Berczi, Viktor; Halasz, Ildiko; Baffy, Gyorgy.

In: Obesity Research and Clinical Practice, Vol. 8, No. 3, 01.01.2014.

Research output: Contribution to journalArticle

Harvard

Tarnoki, AD, Tarnoki, DL, Medda, E, Cotichini, R, Stazi, MA, Fagnani, C, Nisticò, L, Lucatelli, P, Boatta, E, Zini, C, Fanelli, F, Baracchini, C, Meneghetti, G, Schillaci, G, Osztovits, J, Jermendy, G, Kiss, RG, Préda, I, Karlinger, K, Lannert, A, Metneki, J, Molnar, AA, Garami, Z, Berczi, V, Halasz, I & Baffy, G 2014, 'Bioimpedance analysis of body composition in an international twin cohort' Obesity Research and Clinical Practice, vol. 8, no. 3. https://doi.org/10.1016/j.orcp.2012.09.001

APA

Tarnoki, A. D., Tarnoki, D. L., Medda, E., Cotichini, R., Stazi, M. A., Fagnani, C., ... Baffy, G. (2014). Bioimpedance analysis of body composition in an international twin cohort. Obesity Research and Clinical Practice, 8(3). https://doi.org/10.1016/j.orcp.2012.09.001

Vancouver

Tarnoki AD, Tarnoki DL, Medda E, Cotichini R, Stazi MA, Fagnani C et al. Bioimpedance analysis of body composition in an international twin cohort. Obesity Research and Clinical Practice. 2014 Jan 1;8(3). https://doi.org/10.1016/j.orcp.2012.09.001

Author

Tarnoki, Adam D. ; Tarnoki, David L. ; Medda, Emanuela ; Cotichini, Rodolfo ; Stazi, Maria A. ; Fagnani, Corrado ; Nisticò, Lorenza ; Lucatelli, Pierleone ; Boatta, Emanuele ; Zini, Chiara ; Fanelli, Fabrizio ; Baracchini, Claudio ; Meneghetti, Giorgio ; Schillaci, Giuseppe ; Osztovits, Janos ; Jermendy, Gyorgy ; Kiss, Róbert G. ; Préda, István ; Karlinger, Kinga ; Lannert, Agnes ; Metneki, Julia ; Molnar, Andrea A. ; Garami, Zsolt ; Berczi, Viktor ; Halasz, Ildiko ; Baffy, Gyorgy. / Bioimpedance analysis of body composition in an international twin cohort. In: Obesity Research and Clinical Practice. 2014 ; Vol. 8, No. 3.

BibTeX

@article{54305f8e7778404280006dab6d905ca9,
title = "Bioimpedance analysis of body composition in an international twin cohort",
abstract = "Objective: Multiple twin studies have demonstrated the heritability of anthropometric and metabolic traits. However, assessment of body composition parameters by bioimpedance analysis (BIA) has not been routinely performed in this setting. Design: A cross-sectional study. Setting: Study subjects were recruited and assessed at twin festivals or at major university hospitals in Italy, Hungary, and the United States to estimate the influence of genetic and environmental components on body composition parameters in a large, wide age range, international twin cohort by using bioelectrical impedance analysis. Subjects: 380 adult twin pairs (230 monozygotic and 150 dizygotic pairs; male:female ratio, 68:32; age years 49.1 ± 15.4; mean ± standard deviation; age range 18-82) were included in the analysis. Results: Heritability was calculated for weight (82{\%}; 95{\%} confidence interval [CI]: 78-85), waist and hip circumferences (74{\%}; 95{\%}CI: 68-79), body fat percentage (74{\%}; 95{\%}CI: 69-79), fat-free mass (74{\%}; 95{\%}CI: 69-79) and body mass index (79{\%}; 95{\%}CI: 74-83). The completely environmental model showed no impact of shared environmental effects on the variance, while unshared environmental effects were estimated as between 18{\%} and 26{\%}. Conclusions: BIA findings provide additional evidence to the heritability of anthropometric attributes related to obesity and indicate the practical value of this simple method in supporting efforts to prevent obesity-related adverse health events.",
keywords = "Bioelectrical impedance analysis, Body composition parameters, Genetics, Twin study",
author = "Tarnoki, {Adam D.} and Tarnoki, {David L.} and Emanuela Medda and Rodolfo Cotichini and Stazi, {Maria A.} and Corrado Fagnani and Lorenza Nistic{\`o} and Pierleone Lucatelli and Emanuele Boatta and Chiara Zini and Fabrizio Fanelli and Claudio Baracchini and Giorgio Meneghetti and Giuseppe Schillaci and Janos Osztovits and Gyorgy Jermendy and Kiss, {R{\'o}bert G.} and Istv{\'a}n Pr{\'e}da and Kinga Karlinger and Agnes Lannert and Julia Metneki and Molnar, {Andrea A.} and Zsolt Garami and Viktor Berczi and Ildiko Halasz and Gyorgy Baffy",
year = "2014",
month = "1",
day = "1",
doi = "10.1016/j.orcp.2012.09.001",
language = "English",
volume = "8",
journal = "Obesity Research and Clinical Practice",
issn = "1871-403X",
publisher = "Elsevier BV",
number = "3",

}

RIS

TY - JOUR

T1 - Bioimpedance analysis of body composition in an international twin cohort

AU - Tarnoki, Adam D.

AU - Tarnoki, David L.

AU - Medda, Emanuela

AU - Cotichini, Rodolfo

AU - Stazi, Maria A.

AU - Fagnani, Corrado

AU - Nisticò, Lorenza

AU - Lucatelli, Pierleone

AU - Boatta, Emanuele

AU - Zini, Chiara

AU - Fanelli, Fabrizio

AU - Baracchini, Claudio

AU - Meneghetti, Giorgio

AU - Schillaci, Giuseppe

AU - Osztovits, Janos

AU - Jermendy, Gyorgy

AU - Kiss, Róbert G.

AU - Préda, István

AU - Karlinger, Kinga

AU - Lannert, Agnes

AU - Metneki, Julia

AU - Molnar, Andrea A.

AU - Garami, Zsolt

AU - Berczi, Viktor

AU - Halasz, Ildiko

AU - Baffy, Gyorgy

PY - 2014/1/1

Y1 - 2014/1/1

N2 - Objective: Multiple twin studies have demonstrated the heritability of anthropometric and metabolic traits. However, assessment of body composition parameters by bioimpedance analysis (BIA) has not been routinely performed in this setting. Design: A cross-sectional study. Setting: Study subjects were recruited and assessed at twin festivals or at major university hospitals in Italy, Hungary, and the United States to estimate the influence of genetic and environmental components on body composition parameters in a large, wide age range, international twin cohort by using bioelectrical impedance analysis. Subjects: 380 adult twin pairs (230 monozygotic and 150 dizygotic pairs; male:female ratio, 68:32; age years 49.1 ± 15.4; mean ± standard deviation; age range 18-82) were included in the analysis. Results: Heritability was calculated for weight (82%; 95% confidence interval [CI]: 78-85), waist and hip circumferences (74%; 95%CI: 68-79), body fat percentage (74%; 95%CI: 69-79), fat-free mass (74%; 95%CI: 69-79) and body mass index (79%; 95%CI: 74-83). The completely environmental model showed no impact of shared environmental effects on the variance, while unshared environmental effects were estimated as between 18% and 26%. Conclusions: BIA findings provide additional evidence to the heritability of anthropometric attributes related to obesity and indicate the practical value of this simple method in supporting efforts to prevent obesity-related adverse health events.

AB - Objective: Multiple twin studies have demonstrated the heritability of anthropometric and metabolic traits. However, assessment of body composition parameters by bioimpedance analysis (BIA) has not been routinely performed in this setting. Design: A cross-sectional study. Setting: Study subjects were recruited and assessed at twin festivals or at major university hospitals in Italy, Hungary, and the United States to estimate the influence of genetic and environmental components on body composition parameters in a large, wide age range, international twin cohort by using bioelectrical impedance analysis. Subjects: 380 adult twin pairs (230 monozygotic and 150 dizygotic pairs; male:female ratio, 68:32; age years 49.1 ± 15.4; mean ± standard deviation; age range 18-82) were included in the analysis. Results: Heritability was calculated for weight (82%; 95% confidence interval [CI]: 78-85), waist and hip circumferences (74%; 95%CI: 68-79), body fat percentage (74%; 95%CI: 69-79), fat-free mass (74%; 95%CI: 69-79) and body mass index (79%; 95%CI: 74-83). The completely environmental model showed no impact of shared environmental effects on the variance, while unshared environmental effects were estimated as between 18% and 26%. Conclusions: BIA findings provide additional evidence to the heritability of anthropometric attributes related to obesity and indicate the practical value of this simple method in supporting efforts to prevent obesity-related adverse health events.

KW - Bioelectrical impedance analysis

KW - Body composition parameters

KW - Genetics

KW - Twin study

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UR - http://www.scopus.com/inward/citedby.url?scp=84900503054&partnerID=8YFLogxK

U2 - 10.1016/j.orcp.2012.09.001

DO - 10.1016/j.orcp.2012.09.001

M3 - Article

VL - 8

JO - Obesity Research and Clinical Practice

T2 - Obesity Research and Clinical Practice

JF - Obesity Research and Clinical Practice

SN - 1871-403X

IS - 3

ER -

ID: 2883770