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
N1 - Funding Information:
This work was supported by Medexpert Ltd, the Twins Days Festival Committee, the Balassi Institute Hungarian Scholarship Board Office, and the Ministry for Foreign Affairs of the Republic of Italy.
Funding Information:
Medexpert Ltd. has provided financial support for the development and maintenance of this study. Italian part of the research was supported by the Balassi Institute – Hungarian Scholarship Board Office. We would like to acknowledge the support of Twins Days Festival committee and Istvan Luczek, MD for the American part of the study. Studies were approved by local ethical committees (IRB committee names and project approval numbers: Semmelweis University Regional and Institutional Committee of Science and Research Ethics, 29/2009; Twins Days Festival Ethical Board, 1/2009; Ethical Committee of Istituto Superiore di Sanità).
PY - 2014
Y1 - 2014
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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U2 - 10.1016/j.orcp.2012.09.001
DO - 10.1016/j.orcp.2012.09.001
M3 - Article
C2 - 24847671
AN - SCOPUS:84900503054
VL - 8
SP - e291-e297
JO - Obesity Research and Clinical Practice
JF - Obesity Research and Clinical Practice
SN - 1871-403X
IS - 3
ER -