Familiality and Heritability of Binge Eating Disorder: Results of a Case-Control Family Study and a Twin Study: Provided by International Journal of Eating Disorders
Total CE Credit Hours: 1 Course Info URL: https://www.ce-credit.com/courses/101374
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Abstract
Objective:
To estimate the familiality and heritability of binge eating disorder (BED).
Method:
We used a new ACE structural equation model to estimate heritability from a case-control family study of BED conducted in the Boston area. The sample consisted of 150 overweight/obese probands with lifetime BED by DSM-IV criteria, 150 overweight/obese probands without lifetime BED, and 888 of their first-degree relatives. We compared our findings with those from a study of binge eating (in the absence of compensatory behaviors) among 7,831 Norwegian twins.
Results:
The prevalence of BED differed by sex and by age. In the case-control family study, BED was found to aggregate in families, and heritability was estimated as 57% (CI: 30-77%). Including shared environment did not substantially improve the model’s fit, nor did allowing sex-specific heritability. Findings from the twin study were similar.
Conclusion: BED appears to aggregate in families and have a significant genetic component.
This course is based on the reading-based online article, Familiality and Heritability of Binge Eating Disorder: Results of a Case-Control Family Study and a Twin Study: Provided by International Journal of Eating Disorders created by Kristin N. Javaras, PhD et al
Journal/Publisher
International Journal of Eating Disorders/Wiley InterScience
Publication Date
March 2008, Volume 41, Issue 2
Course Material Authors
Course Material Authors authored the material only, and were not involved in creating this CE course. They are identified here for your own evaluation of the relevancy of the material this course is based on.
Kristin N. Javaras, PhD
Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts
and Biological Psychiatry Laboratory, McLean Hospital, Belmont, Massachusetts
Nan M. Laird, PhD
Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts
Ted Reichborn-Kjennerud, MD
Division of Mental Health, Norwegian Institute of Public Health, Oslo, Norway
and Institute of Psychiatry, University of Oslo, Norway
Cynthia M. Bulik, PhD
Department of Psychiatry, School of Public Health, University of North Carolina at Chapel Hill, North Carolina
and Department of Nutrition, School of Public Health, University of North Carolina at Chapel Hill, North Carolina
Harrison G. Pope Jr, MD
Biological Psychiatry Laboratory, McLean Hospital, Belmont, Massachusetts
and Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
James I. Hudson, MD, ScD
Biological Psychiatry Laboratory, McLean Hospital, Belmont, Massachusetts
and Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
This course is recommended for health care professionals, especially psychologists, counselors, social workers, addiction counselors, officers of the court, and nurses who seek knowledge about suicidal behavior in adolescents. It is appropriate for all levels of participants' knowledge.
Course Objectives:
After taking this course, you should be able to:
Explain that ACE models partition the variance of a trait into three sources: additive genetic effects (A), shared or common environment effects (C), and unique environment effects (E).
Recognize that ACE models, although most commonly used with twin data, can also be used with more general family data.
State whether binge eating disorder is heritable.
Availability
This course is available starting May 11th, 2008 and expires Mar 29th, 2019
Disclosure to Learners
Disclosure of Relevant Financial Relationships
CE Learning Systems adheres to the ACCME's Standards for Integrity and Independence in Accredited
Continuing Medical Education. Any individuals in a position to control the content of a CE activity –
including faculty, planners, reviewers, or others ― are required to disclose all relevant financial
relationships with ineligible entities (formerly known as commercial interests).
The following relevant financial relationships have been disclosed by this activity's planners, faculty, and
the reviewer:
Planners and Reviewers
The planners of this activity have reported that they have no relevant financial relationships.
Material Authors
Any relevant financial disclosures for course material authors can be found in the article.
Course Creator
Keith Gibson, Ph.D. – There are no known relevant financial relationships to disclose.
Commercial support
There is no commercial support for this distance-learning course.
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