Parts of this manuscript were presented at the Behavior Genetics Association conference in Amsterdam, June 2007.
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Bivariate analysis of disordered eating characteristics in adolescence and young adulthood†
Article first published online: 18 OCT 2010
DOI: 10.1002/eat.20854
Copyright © 2010 Wiley Periodicals, Inc.
Additional Information
How to Cite
Munn, M. A., Stallings, M. C., Hyun Rhee, S., Sobik, L. E., Corley, R. P., Rhea, S. A. and Hewitt, J. K. (2010), Bivariate analysis of disordered eating characteristics in adolescence and young adulthood. Int. J. Eat. Disord., 43: 751–761. doi: 10.1002/eat.20854
- †
Publication History
- Issue published online: 10 NOV 2010
- Article first published online: 18 OCT 2010
- Manuscript Accepted: 27 JUN 2010
Funded by
- National Institute of Drug Abuse. Grant Numbers: DA011015, DA012485
- National Institute of Child Health and Human Development. Grant Number: HD010333
- National Institute of Mental Health. Grant Numbers: T32MH016990, F31MH084466
- National Institute of Child Health and Human Development. Grant Number: T32HD007289
- Abstract
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- Cited By
Keywords:
- eating disorders;
- adolescence;
- young adulthood;
- twins;
- bivariate analysis;
- extended twin design
Abstract
Objective
We examined the etiology of two disordered eating characteristics.
Method
Participants included 1,470 female adolescent and young adult twins and their female nontwin siblings. Phenotypic factor analyses of a seven-item eating pathology screening tool yielded two factors: weight and shape concerns and behaviors (WSCB) and binge eating (BE). Univariate and bivariate extended twin analyses (including cotwins and nontwin siblings) were used to estimate the magnitude of genetic and environmental influences on these characteristics.
Results
Analyses indicated that individual differences in WSCB and BE could be explained by additive genetic influences (a2 = 0.43 (95% CI: 0.33–0.52) and 0.49 (95% CI: 0.36–0.58), respectively), with the remaining variance due to nonshared environmental influences. The genetic correlation between WSCB and BE was estimated at 0.64; the nonshared environmental correlation was estimated at 0.27.
Discussion
These results corroborate previous findings on genetic and environmental influences on disordered eating characteristics and suggest that findings can be extended to nontwin populations. © 2010 by Wiley Periodicals, Inc. Int J Eat Disord 2010; 43:751–761

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