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Genetic and Environmental Influences on Gambling and Substance Use in Early Adolescence

Overview of attention for article published in Behavior Genetics, May 2014
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Title
Genetic and Environmental Influences on Gambling and Substance Use in Early Adolescence
Published in
Behavior Genetics, May 2014
DOI 10.1007/s10519-014-9658-6
Pubmed ID
Authors

Frank Vitaro, Amy C. Hartl, Mara Brendgen, Brett Laursen, Ginette Dionne, Michel Boivin

Abstract

This study examined the genetic and environmental architecture of early gambling involvement and substance use to determine whether genetic or environmental factors that contribute to substance use also put young adolescents at risk for early involvement in gambling. Self-reports of substance use and gambling involvement were collected at age 13 years from 279 Monozygotic and Dizygotic twin pairs. Univariate ACE modeling revealed that genetic and nonshared environmental factors almost equally accounted for gambling involvement, with no contribution from shared environmental factors. In contrast, both shared and nonshared environmental factors played important roles in substance use; the contribution of genetic factors was also substantial. Bivariate analyses identified a significant, albeit modest, overlap between the genetic influence on gambling involvement and the genetic influence on substance use. The results shed light on the etiology of early gambling involvement and substance use, suggesting that preventive interventions targeting common risk factors may also need to be complemented by modules that are specific to each behavior.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 2%
Canada 1 2%
Unknown 51 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 15%
Student > Ph. D. Student 6 11%
Researcher 6 11%
Student > Master 5 9%
Student > Postgraduate 4 8%
Other 9 17%
Unknown 15 28%
Readers by discipline Count As %
Psychology 18 34%
Social Sciences 7 13%
Medicine and Dentistry 2 4%
Agricultural and Biological Sciences 1 2%
Economics, Econometrics and Finance 1 2%
Other 3 6%
Unknown 21 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 April 2015.
All research outputs
#20,230,558
of 22,756,196 outputs
Outputs from Behavior Genetics
#794
of 907 outputs
Outputs of similar age
#192,933
of 227,206 outputs
Outputs of similar age from Behavior Genetics
#6
of 6 outputs
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