| Autor: |
David Laszlo Tarnoki, Lorenza Nisticò, Ildiko Halasz, Corrado Fagnani, Janos Osztovits, Viktor Bérczi, Kinga Karlinger, Giuseppe Schillaci, Pierleone Lucatelli, György Jermendy, Giorgio Meneghetti, Gyorgy Baffy, Agnes Lannert, Rodolfo Cotichini, Fabrizio Fanelli, Adam Domonkos Tarnoki, Julia Métneki, Róbert Gábor Kiss, Zsolt Garami, Andrea Agnes Molnar, Maria Antonietta Stazi, Emanuele Boatta, Chiara Zini, Emanuela Medda, Claudio Baracchini, István Préda |
| Rok vydání: |
2014 |
| Předmět: |
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| Zdroj: |
Obesity Research & Clinical Practice. 8:e291-e297 |
| ISSN: |
1871-403X |
| DOI: |
10.1016/j.orcp.2012.09.001 |
| Popis: |
Summary 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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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Full Text from ScienceDirect