↓ Skip to main content

Shared Environmental Contributions to Substance Use

Overview of attention for article published in Behavior Genetics, October 2011
Altmetric Badge

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
51 Mendeley
Title
Shared Environmental Contributions to Substance Use
Published in
Behavior Genetics, October 2011
DOI 10.1007/s10519-011-9516-8
Pubmed ID
Authors

Jessica H. Baker, Hermine H. Maes, Kenneth S. Kendler

Abstract

The current study examined the association between substance use in the household during childhood, parental attitudes towards substance use and lifetime substance use in males. Subjects included 1081 monozygotic and 707 dizygotic twins from the Virginia Adult Twin Study of Psychiatric and Substance Use Disorders. Retrospective reports of substance use and features of the family environment (adult household substance use and parental attitudes towards substance use) were obtained using a life history interview. A trivariate Cholesky decomposition was conducted using the program Mx to decompose common shared environmental variance. Findings suggest that family environmental factors accounted for a large proportion of the shared environmental effects for illicit drug use. Results illustrate an important way of extending behavior genetic research to reveal specific etiological environmental mechanisms.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Unknown 49 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 18%
Researcher 7 14%
Student > Bachelor 6 12%
Student > Master 6 12%
Student > Doctoral Student 3 6%
Other 9 18%
Unknown 11 22%
Readers by discipline Count As %
Psychology 19 37%
Medicine and Dentistry 6 12%
Agricultural and Biological Sciences 4 8%
Biochemistry, Genetics and Molecular Biology 3 6%
Computer Science 1 2%
Other 6 12%
Unknown 12 24%