Sibling effects on substance use in adolescence: social contagion and genetic relatedness.

Rende, Richard; Slomkowski, Cheryl; Lloyd-Richardson, Elizabeth E.; Niaura, Raymond

doi:10.1037/0893-3200.19.4.611

Cited by 94 publications

(108 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The DF analysis is a regression method designed to compute genetic and environmental effects on clinically significant levels of symptoms, considering also quantitative information for co-twins of probands, rather than simply classifying them as 'affected' or 'unaffected' [27,[40][41][42]. The ordinal ML approach investigates the genetic and environmental factors underlying extreme scores as represented in categorical terms, such as in the classical biomedical 'case' versus 'control' approach.…”

Section: Introductionmentioning

confidence: 99%

Genetic and environmental influences upon the CBCL/6-18 DSM-oriented scales: similarities and differences across three different computational approaches and two age ranges

Spatola

Rende

Battaglia

2010

Eur Child Adolesc Psychiatry

Self Cite

View full text Add to dashboard Cite

To cite this version:Chiara A. M. Spatola, Richard Rende, Marco Battaglia. Genetic and environmental influences upon the CBCL/6-18 DSM-oriented scales: similarities and differences across three different computational approaches and two age ranges. European child & adolescent psychiatry, 2010, 19 (8), pp.647-658. <10.1007/s00787-010-0102-z>. ORIGINAL CONTRIBUTIONGenetic and environmental influences upon the CBCL/6-18 DSM-oriented scales: similarities and differences across three different computational approaches and two age ranges Abstract Inasmuch as the newly established DSM-oriented CBCL/6-18 scales are to be increasingly employed to assess clinical/high-risk populations, it becomes important to explore their aetiology both within the normal-and the extreme range of variation in general population samples and to compare the results obtained in different age groups. We investigated by the Quantitative Maximum Likelihood, the De Fries-Fulker, and the Ordinal Maximum Likelihood methods the genetic and environmental influences upon the five DSM-oriented CBCL/6-18 scales in 796 twins aged 8-17 years belonging to the general population-based Italian Twin Registry. When children were analysed together regardless of age, most best-fitting solutions yielded genetic and non-shared environmental factors as the sole influences for DSMoriented CBCL/6-18 behaviours, both for the normal and the extreme variations. When analyses were conducted separately for two age groups, shared environmental influences emerged consistently for Affective and Anxiety Problems in children aged 8-11. Oppositional-Defiant, Attention Deficit/Hyperactivity, and Conduct Problems appeared-with few exceptions-influenced only by genetic and non-shared environmental factors in both age groups, according to all three computational approaches. The De Fries-Fulker method appeared to be more sensitive in detecting shared environmental effects. Analysing the same set of data with different analytic approaches leads to better-balanced views on the aetiology of psychopathological behaviours in the developmental years.

show abstract

Section: Introductionmentioning

confidence: 99%

Genetic and environmental influences upon the CBCL/6-18 DSM-oriented scales: similarities and differences across three different computational approaches and two age ranges

Spatola

Rende

Battaglia

2010

Eur Child Adolesc Psychiatry

Self Cite

View full text Add to dashboard Cite

show abstract

“…For the second issue, it is possible that the greater social contact or connectedness between MZ twins than DZ twins (Penninkilampi-Kerola et al, 2005;Rende et al, 2005) simply leads to twins sharing more friends. However, as the literature based on the CTM provide some evidence that the choice of friends (Baker and Daniels, 1990;Iervolino et al, 2002) and exposure to friends who smoke (Cleveland et al, 2005) are influenced by genetic factors, it is also possible to suggest that the influence of friends on smoking behaviour is, at root, genetic.…”

Section: Discussionmentioning

confidence: 99%

“…There is increasing recognition that violations of the EEA for smoking may influence heritability estimates for smoking and therefore its adequacy needs examination (Kendler and Gardner, 1998;Rende et al, 2005;Pergadia et al, 2006;Prescott et al, 2006;Kaprio, 2007;Tishler and Carey, 2007). Several genetically informative sibling studies have found that the role of the common environment in explaining variation in smoking is greater among siblings (including twins) who share friends than those who do not (Madden et al, 2004;Rende et al, 2005).…”

mentioning

confidence: 99%

“…Several genetically informative sibling studies have found that the role of the common environment in explaining variation in smoking is greater among siblings (including twins) who share friends than those who do not (Madden et al, 2004;Rende et al, 2005). Although various interpretations have been given for these findings, there is some agreement that considering social influences on smoking in genetically informative designs may increase our understanding of the aetiology of smoking (Conger, 2005;Merikangas, 2005;Rende et al, 2005;Dick et al, 2007). We have conducted a prospective, longitudinal study of smoking from adolescence to adulthood using MZ and DZ twin pairs, utilising a social influence framework to understand smoking uptake.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Does smoking among friends explain apparent genetic effects on current smoking in adolescence and young adulthood?

et al. 2008

View full text Add to dashboard Cite

We used data from a prospective cohort study of twins to investigate the influence of unmeasured genetic and measured and unmeasured environmental factors on the smoking behaviour of adolescents and young adults. Twins were surveyed in 1988 (aged 11 -18 years), 1991, 1996 and 2004 with data from 1409, 1121, 732 and 758 pairs analysed from each survey wave, respectively. Questionnaires assessed the smoking behaviour of twins and the perceived smoking behaviour of friends and parents. Using a novel logistic regression analysis, we simultaneously modelled individual risk and excess concordance for current smoking as a function of zygosity, survey wave, parental smoking and peer smoking. Being concordant for having peers who smoked was a predictor of concordance for current smoking (Po0.001). After adjusting for peer smoking, monozygotic (MZ) pairs were no more alike than dizygotic pairs for current smoking at waves 2, 3 and 4. Genetic explanations are not needed to explain the greater concordance for current smoking among adult MZ pairs. However, if they are invoked, the role of genes may be due to indirect effects acting through the social environment. Smoking prevention efforts may benefit more by targeting social factors than attempting to identify genetic factors associated with smoking. Smoking is an important cause of preventable mortality and morbidity in later life (Ezzati and Lopez, 2004), so there is a need to understand the factors associated with its uptake and establishment. Twin studies have the potential to identify whether genetic factors might play a role in explaining individual variation in smoking behaviours. The observation that identical (monozygotic; MZ) twin pairs are more similar than same-sex non-identical (dizygotic; DZ) twin pairs is often interpreted as showing that genetic factors play a role, because this finding is consistent with such an explanation under the assumptions of the classic twin model (CTM). One of the main assumptions of the CTM is that the effects of the shared environment on the relevant trait are the same for MZ and DZ pairs (the equal environments assumption (EEA)). Under this assumption, any greater similarity for MZ pairs compared with DZ pairs is attributed to their greater genetic similarity.Using the CTM, studies of the smoking behaviour of adult twins have been interpreted as showing that genetic factors play a major role in both initiation and persistence of smoking (Carmelli et al,

show abstract

“…When doing so, the extent to which twins share their friends becomes highly relevant. Several twin studies have indicated that in adolescence monozygotic (MZ) twins are more likely than dizygotic (DZ) twins to share all or nearly all of their friends (Horwitz et al 2003;Rende et al 2005;Rose 2002;Walden et al 2004). According to Horwitz et al (2003), twin studies may overestimate the strength of genetic influences and underestimate the strength of common environmental influences, because higher similarities in behavior among MZ compared to DZ twins do not only arise through genetic differences but also through social influences (i.e., friends).…”

Section: Introductionmentioning

confidence: 99%

Similarities in Drinking Behavior of Twin’s Friends: Moderation of Heritability of Alcohol Use

Poelen

Engels

Boomsma³

et al. 2008

Behav Genet

View full text Add to dashboard Cite

Previous research has indicated that friends' drinking may influence alcohol use in adolescents and young adults. We explored whether similarities in the drinking behavior of friends of twins influence the genetic architecture of alcohol use in adolescence and young adulthood. Survey data from The Netherlands Twin Register were available for 1,526 twin pairs aged 16-25 years. We categorized the twin pairs as concordant (both report similar alcohol use in their friends) or discordant for the alcohol use of their friends. Genetic moderator models were tested by carrying out multi-group analyzes in Mplus. Findings showed a significant moderation effect. Genetic factors were more and common environment less important in the explanation of variation in alcohol use in twins discordant for alcohol use of friends than in twins concordant for alcohol use of friends.

show abstract

Sibling effects on substance use in adolescence: social contagion and genetic relatedness.

Cited by 94 publications

References 38 publications

Genetic and environmental influences upon the CBCL/6-18 DSM-oriented scales: similarities and differences across three different computational approaches and two age ranges

Genetic and environmental influences upon the CBCL/6-18 DSM-oriented scales: similarities and differences across three different computational approaches and two age ranges

Does smoking among friends explain apparent genetic effects on current smoking in adolescence and young adulthood?

Similarities in Drinking Behavior of Twin’s Friends: Moderation of Heritability of Alcohol Use

Contact Info

Product

Resources

About