A Bayesian learning model to predict the risk for cannabis use disorder

Rajapaksha, Rajapaksha Mudalige Dhanushka S.; Filbey, Francesca M.; Biswas, Swati; Choudhary, Pankaj

doi:10.1016/j.drugalcdep.2022.109476

Cited by 7 publications

(5 citation statements)

References 49 publications

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“…Of course, using illicit substances is an invariant risk factor, but what other intra or interpersonal factors affect the risk beyond use? Previous studies have emphasized mental health challenges (Groenman, Janssen & Oosterlaan, 2017), genetic factors (Chassin et al, 2014), substance using peers (McCutcheon et al, 2013;Schroeder & Ford, 2012), and risky and delinquent behaviors (Rajapaksha et al, 2022). Though rare relative to these factors, research has also examined parentchild relations (Carver et al, 2017;Mak & Iacovou, 2019;McCutcheon et al, 2013) and involvement in religion (Hoffmann, Bahr, & Huber, 2016;Kelly, Polanin, Jang, & Johnson, 2015;Moscati & Mezuk, 2014;Von Diemen et al, 2008) as factors that affect the risk of problem use and SUDs among adolescents.…”

Section: Discussionmentioning

confidence: 99%

“…The treatment effects literature recommends that selection models include a substantial set of covariates to ensure that prediction is maximized. The covariates comprised many found in previous studies of adolescent SUDs (Chassin et al, 2014;Gray & Squeglia, 2018;Merrin, Leadbeater, Sturgess, Ames, & Thompson, 2022;Rajapaksha et al, 2022) and in research on parent-child relations and adolescent religiousness (Pearce, Uecker & Denton, 2019;Smetana & Rote, 2019;Smith, 2003;Smith & Adamczyk, 2021). The following demographic variables were included: gender (female or male); age (12-17); family income; family structure (e.g., two parent, single mother); living above or below the poverty level; residing in a metro or non-metro area; and race/ethnicity (white, African American, Latinx, Asian, Indigenous, other).…”

Section: Methodsmentioning

confidence: 99%

“…Low quality parent-child relations-low religiousness served as the reference category. The model was augmented with any past-year substance use to adjust for selection into substance use (Hoffmann & Bahr, 2010;Yamaguchi, 2002), as well as several covariates based on previous studies of adolescent SUDs: gender and age of respondent, family structure, family income, race/ethnicity, living below the poverty level, symptoms of a depressive disorder, early substance use, and deviant and delinquent behaviors (Gray & Squeglia, 2018;Groenman, Janssen & Oosterlaan, 2017;Merikangas & McClair, 2012;Rajapaksha et al, 2022). Including covariates in the outcome equation enhances the model's double robustness property (Tan, 2010).…”

Section: Analysis Planmentioning

confidence: 99%

“…Research has identified several personal and interpersonal factors that affect SUD risk among adolescents, including early substance use initiation (Gray & Squeglia, 2018), mental health challenges (Groenman, Janssen & Oosterlaan, 2017), childhood stressors (Edalati & Krank, 2016), family problems (Chassin, Bountress, Haller, & Wang, 2014;Chassin, Hussong, Rothenberg, & Sternberg, 2019), substance using peers (McCutcheon et al, 2013;Schroeder & Ford, 2012), male gender (Merikangas & McClair, 2012), and risky and delinquent behaviors (Rajapaksha, Filbey, Biswas, & Choudhary, 2022). Two modestly studied predictors of SUDs involve the quality of the parent-adolescent relationship (Chassin et al, 2019;McCutcheon et al, 2013) and religiousness (Kendler et al, 2003;Von Diemen et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

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Parent-child Relations, Religiousness, and Adolescent Substance Use Disorders

Hoffmann

2022

Journal of Drug Issues

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Research has shown that parent-child relationships and religiousness are negatively associated with substance use among adolescents, but few studies have addressed their relationship with substance use disorders (SUDs). This study explored whether high quality parent-child relations are negatively associated with the risk of an SUD among adolescents, especially when religiousness is high. The data used to assess this inquiry were from 4 years (2016–2019) of the U.S. National Survey on Drug Use and Health (NSDUH). SUDs in the past year were based on a set of questions consistent with criteria enumerated in the DSM-IV. Latent measures of parent-child relations and religiousness were also constructed. The results of an augmented inverse probability weighting (AIPW) model furnished empirical evidence in support of the notion that the lowest risk of an SUD occurred among those reporting high quality parent-child relations and high religiousness, even after adjusting for a substantial number of selection factors.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Analysis Planmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Parent-child Relations, Religiousness, and Adolescent Substance Use Disorders

Hoffmann

2022

Journal of Drug Issues

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“…Men are more likely than women to meet criteria for CUD and typically have greater severity of CUD symptoms (85)(86)(87)(88). For example, in the 2020 NSDUH, 6.03% of male respondents were estimated to have a CUD, compared to 4.08% of female respondents (5).…”

Section: Cannabis Use Disordermentioning

confidence: 99%

Impacts of recreational cannabis legalization on use and harms: A narrative review of sex/gender differences

Matheson

Foll

2023

Front. Psychiatry

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Legalization of cannabis use for non-medical (recreational) purposes is changing the global cannabis landscape. As attitudes toward cannabis use become more positive and prevalence of use increases in complex ways, concerns emerge about the potential for increased cannabis-attributable harms. Understanding the who, why, and when of this likely increase in cannabis-attributable harms is thus an important public health priority. Both sex and gender contribute to variability in the use, effects, and harms of cannabis and thus sex/gender considerations are important when evaluating the impacts of cannabis legalization. The goal of this narrative review is to broadly discuss sex/gender differences in attitudes toward and prevalence of cannabis use, whether there are sex/gender differences in the impacts of cannabis legalization, and why these sex/gender differences might exist. One of our strongest conclusions is that men have always been more likely to use cannabis than women, yet the sex/gender gap in prevalence of cannabis use has narrowed over time, and this might be partly due to cannabis legalization. The existing evidence suggests that there have also been sex/gender differences in the impacts of legalization on cannabis-attributable harms such as cannabis-involved motor vehicle collisions and hospitalizations, though these results are more variable. The body of literature reviewed has focused almost exclusively on samples of cisgender research participants, and thus future research should encourage inclusion of transgender and gender-diverse participants. More consideration of sex- and gender-based analysis in research evaluating long-term impacts of cannabis legalization is a clear research priority.

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