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Twin studies of eating disorders: A review

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TLDR
It is not possible to draw firm conclusions regarding the precise contribution of genetic and environmental factors to anorexia nervosa, but twin studies confirm that bulimia nervosa is familial and reveal significant contributions of additive genetic effects and of unique environmental factors in liability to bulimic nervosa.
Abstract
Objective Twin methodology has been used to delineate etiological factors in many medical disorders and behavioral traits including eating disorders. Although twin studies are powerful tools, their methodology can be arcane and their implications easily misinterpreted. Method The goals of this study are to (a) review the theoretical rationale for twin studies; (b) provide a framework for their interpretation and evaluation; (c) review extant twin studies on eating disorders; and (d) explore the implications for understanding etiological issues in eating disorders. Discussion On the basis of this review, it is not possible to draw firm conclusions regarding the precise contribution of genetic and environmental factors to anorexia nervosa. Twin studies confirm that bulimia nervosa is familial and reveal significant contributions of additive genetic effects and of unique environmental factors in liability to bulimia nervosa. The magnitude of the contribution of shared environment is less clear, but in the studies with the greatest statistical power, it appears to be less prominent than additive genetic factors. © 2000 by John Wiley & Sons, Inc. Int J Eat Disord 27: 1–20, 2000.

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Citations
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Journal ArticleDOI

Coming to Terms With Risk Factors for Eating Disorders: Application of Risk Terminology and Suggestions for a General Taxonomy

TL;DR: Common risk factors from longitudinal and cross-sectional studies were gender, ethnicity, early childhood eating and gastrointestinal problems, elevated weight and shape concerns, negative self-evaluation, sexual abuse and other adverse experiences, and general psychiatric morbidity.
Journal ArticleDOI

Risk factors for eating disorders.

TL;DR: The authors illustrate how studies of sociocultural risk factors and biological factors have progressed on parallel tracks and propose that major advances in understanding the etiology of eating disorders require a new generation of studies that integrate these domains.
Journal ArticleDOI

Risk factors for eating disorders.

TL;DR: The authors illustrate how studies of sociocultural risk factors and biological factors have progressed on parallel tracks and propose that major advances in understanding the etiology of eating disorders require a new generation of studies that integrate these domains.
Journal ArticleDOI

Are Eating Disorders Culture-Bound Syndromes? Implications for Conceptualizing Their Etiology

TL;DR: Findings suggest that BN is a culture-bound syndrome and AN is not, heritability estimates for BN may show greater variability cross-culturally than heritability Estimates for AN, and the genetic bases of these disorders may be associated with differential pathoplasticity.
Journal ArticleDOI

Is the Tendency to Engage in Entrepreneurship Genetic

TL;DR: This article used quantitative genetics techniques to compare the entrepreneurial activity of 870 pairs of monozygotic (MZ) and 857 pairs of same-sex dizygotic twins from the United Kingdom.
References
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Book

Statistical Power Analysis for the Behavioral Sciences

TL;DR: The concepts of power analysis are discussed in this paper, where Chi-square Tests for Goodness of Fit and Contingency Tables, t-Test for Means, and Sign Test are used.
Book

Testing Structural Equation Models

TL;DR: In this paper, Bollen et al. proposed a model fitting metric for Structural Equation Models, which is based on the Monte Carlo evaluation of Goodness-of-Fit measures.
Book ChapterDOI

Factor Analysis and AIC

Hirotugu Akaike
- 01 Sep 1987 - 
TL;DR: The information criterion AIC was introduced to extend the method of maximum likelihood to the multimodel situation by relating the successful experience of the order determination of an autoregressive model to the determination of the number of factors in the maximum likelihood factor analysis as discussed by the authors.
Book

Latent variable models: An introduction to factor, path, and structural analysis

TL;DR: This text provides an introduction to a growing area in the social and behavioural sciences - the modelling of systems in which one or more variables are hypothesized but not directly observed, and provides a conceptually unified treatment of moelling.
Journal ArticleDOI

Limitations of the application of fourfold table analysis to hospital data.

TL;DR: In this paper, the authors present a method for determining the effect of an agent or process that may be considered typical in the biologic laboratory, which consists in dividing a group of animals into two cohorts, one considered the experimental group, the other the control.
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