The Influence of Parental, Peer, and School Factors on Marijuana Use Among Native American Adolescents

Moon, Sung Seek; Blakey, Joan M.; Boyas, Javier F.; Horton, Karla B.; Kim, Yi Jin

doi:10.1080/01488376.2013.865578

Cited by 16 publications

(14 citation statements)

References 48 publications

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“…Family management, or family monitoring, has been shown to be particularly associated with reduced substance use, including marijuana, among adolescents (Hoeve et al, 2009; Lac & Crano, 2009; Shillington et al, 2005; Steinberg et al, 1994). This protective effect of family management and monitoring on marijuana use, in particular, has been shown for younger and older adolescents (Chilcoat & Anthony, 1996; DiClemente et al, 2001; Hayatbakhsh et al, 2008; Lac & Crano, 2009), in nationally representative (Dever et al, 2012; Martins, Storr, Alexandre, & Chilcoat, 2008; Rodgers-Farmer, 2000) and community samples (Dishion, Nelson, & Kavanagh, 2003; Hill et al, 2010; Kosterman, Hawkins, Guo, Catalano, & Abbott, 2000), and for a range of socioeconomic and ethnic groups (Bohnert, Anthony, & Breslau, 2012; Griffin, Botvin, Scheier, Diaz, & Miller, 2000; Lac & Crano, 2009; Moon, Blakey, Boyas, Horton, & Kim, 2014; Yabiku et al, 2010). In a similar vein, the negative association between drug-using or antisocial peers and substance use has also been well established.…”

Section: Differential Effects Of Family Monitoring and Antisocial Peementioning

confidence: 99%

“…In a similar vein, the negative association between drug-using or antisocial peers and substance use has also been well established. Associating with antisocial or drug-using peers has been linked to marijuana use in multiple samples and in diverse populations of adolescents (Dishion & Owen, 2002; Donohew et al, 1999; Hampson, Andrews, & Barckley, 2008; Kosterman et al, 2000; Moon et al, 2014; Rodgers-Farmer, 2000; Steinberg et al, 1994; Van Ryzin et al, 2012; Yanovitzky, 2005). The main effects of gender and behavioral disinhibition on substance use are similarly robust and well documented (Donohew et al, 1999; Kopstein, Crum, Celentano, & Martin, 2001; Newcomb & McGee, 1991; Sargent, Tanski, Stoolmiller, & Hanewinkel, 2010; Teichman, Barnea, & Ravav, 1989).…”

Section: Differential Effects Of Family Monitoring and Antisocial Peementioning

confidence: 99%

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Time-varying effects of families and peers on adolescent marijuana use: Person–environment interactions across development

et al. 2016

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Studies have demonstrated that the effects of two well-known predictors of adolescent substance use, family monitoring and antisocial peers, are not static but change over the course of adolescence. Moreover, these effects may differ for different groups of youth. The current study uses time-varying effect modeling (TVEM) to examine the changes in the association between family monitoring and antisocial peers and marijuana use from ages 11 to 19, and to compare these associations by gender and levels of behavioral disinhibition. Data are drawn from the Raising Healthy Children study, a longitudinal panel of 1,040 youth. The strength of association between family monitoring and antisocial peers and marijuana use was mostly steady over adolescence, and was greater for girls than boys. Differences in the strength of the association were also evident by levels of behavioral disinhibition: youth with lower levels of disinhibition were more susceptible to the influence of parents and peers. Stronger influence of family monitoring on girls and less disinhibited youth was most evident in middle adolescence, whereas the stronger effect of antisocial peers was significant during middle and late adolescence. Implications for the timing and targeting of marijuana preventive interventions are discussed.

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Section: Differential Effects Of Family Monitoring and Antisocial Peementioning

confidence: 99%

Section: Differential Effects Of Family Monitoring and Antisocial Peementioning

confidence: 99%

Time-varying effects of families and peers on adolescent marijuana use: Person–environment interactions across development

et al. 2016

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“…While Native parents often assume a less active and more indirect approach to parenting (Bigfoot and Funderburk, 2011; Forehand and Kotchick, 1996), several studies confirm that AI families who monitor their child’s behavior more effectively, reduce substance use risk (Boyd-Ball et al, 2014; Moon et al, 2014; Rodgers and Fleming, 2003). …”

Section: Introductionmentioning

confidence: 99%

Multivariate family factors in lifetime and current marijuana use among American Indian and white adolescents residing on or near reservations

Swaim

Stanley

2016

Drug and Alcohol Dependence

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“…Ebeveynlerin kural koyma ve sorumluluk verme becerisinin düþük olmasý, alkolmadde kullanýmýna yol açan bir faktör olarak görülmektedir. Ebeveynin ve diðer yakýnlarýn bu becerilerinin düþük olmasý, bireyin alkol-madde kullanýmýný artýrmasýnda, baðýmlý hale gelmesinde ve baðýmlý davranýþlarýn sürmesinde önemli bir etkendir (8,9). Öte yandan aile içi iletiþim becerilerinin ve özelde de çatýþma çözme becerilerinin baðýmlýlýðý sürdüren etkenler arasýnda yer aldýðýný gösteren çalýþmalar vardýr (10).…”

Section: Gýrýþunclassified

Addiction Profile Index-Family (BAPİ-A): The Study of Validity and Reliability

Ögel¹,

Çelikay²,

Başabak³

2017

J Clin Psy

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Objectives:Addiction is a disease that affects the family and also requires family's participation on treatment. Therefore, determination of the family property will contribute to organize the treatment. Method: Addiction Profile Index-Family (BAPÝ-A) was developed as a scale consisting of 10 questions to asess family's abilities to set rules, give responsibility, resolve conflict, family bond and the attitude of the family towards the addict. BAPÝ-A developed on practiced with parents, spouces and their relatives of addicts applied the Addiction Clinic and Family Assessment Device (ADÖ) were applied. The application was repeated after 15 days. Results: Cronbach Alpha coefficient of the scale was found as 0.82. 4 factors explained %30.81 of the total variance were obtained on explanatory factor analysis. These factors were named "establish relationship", "family bonds" and "attitude towards the addict". A correlation of 0.52 (p<0.01) was found between the average total scores of ADÖ and BAPÝ-A. The correlation of between pre-test and post-test of BAPÝ-A was found 0.67 (o<0.01). When comparing the scale scores of families that have an addict member and not, the variance between average total scores was found statistically significant. And also similar findings were obtained when parents, spouces and other relatives were evaluated. Conclusion: Thus, the Addiction Profile Index-Family (BAPÝ-A) can be used as a valid and reliable instrument to asses family's abilities to set rules, give responsibility, resolve conflict, and establish relationship, family bonds and the attitude towards the addict.

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The Influence of Parental, Peer, and School Factors on Marijuana Use Among Native American Adolescents

Cited by 16 publications

References 48 publications

Time-varying effects of families and peers on adolescent marijuana use: Person–environment interactions across development

Time-varying effects of families and peers on adolescent marijuana use: Person–environment interactions across development

Multivariate family factors in lifetime and current marijuana use among American Indian and white adolescents residing on or near reservations

Addiction Profile Index-Family (BAPİ-A): The Study of Validity and Reliability

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