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Obes Res Clin Pract. 2014 May-Jun;8(3):e201-98. doi: 10.1016/j.orcp.2012.09.001.

Bioimpedance analysis of body composition in an international twin cohort.

Author information

1
Department of Radiology and Oncotherapy, Semmelweis University, 78/a Ulloi Street, Budapest 1082, Hungary. Electronic address:tarnoki4@gmail.com.
2
Department of Radiology and Oncotherapy, Semmelweis University, 78/a Ulloi Street, Budapest 1082, Hungary.
3
Genetic Epidemiology Unit, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Rome, Italy.
4
Vascular and Interventional Radiology Unit, Department of Radiological Sciences, Sapienza University of Rome, viale Regina Elena 324,00162 Rome.
5
Department of Neurosciences, University of Padua School of Medicine, via Giustiniani 5, 35128 Padova, Italy.
6
Università degli Studi di Perugia, Unità di Medicina Interna, Ospedale â??S. Mariaâ??, viale Tristano di Joannuccio 1, 05100 Terni, Italy.
7
Bajcsy Zsilinszky Hospital, III Department of Internal Medicine, 89-91 Maglodi Street, Budapest 1106, Hungary.
8
Department of Cardiology, Military Hospital â?? State Health Centre, 44 Róbert Károly krt, Budapest 1134, Hungary.
9
Semmelweis University, School of Pharmacy, 26 Ulloi Street, Budapest 1085, Hungary.
10
National Institute for Health Development, 2 Nagyvárad tér, Budapest, 1096, Hungary.
11
The Methodist Hospital, DeBakey Heart and Vascular Center, 6565 Fannin Street, Houston, TX 77030, USA.
12
Department of Medicine, VA Boston Healthcare System, Harvard Medical School, 150 South Huntington Avenue, Jamaica Plain, Boston, MA 02130, USA.

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.

PMID:
24847671
DOI:
10.1016/j.orcp.2012.09.001
[Indexed for MEDLINE]

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