Predictors of Early-Onset Cannabis Use in Adolescence and Risks for Substance Use Disorder Symptoms in Young Adulthood

2021 ◽  
pp. 002204262110493
Author(s):  
Gabriel J. Merrin ◽  
Bonnie J. Leadbeater ◽  
Clea M. B. Sturgess ◽  
Megan E. Ames ◽  
Kara Thompson

Early detection of risks for substance use disorders is essential to lifelong health and well-being for some youth. Very early-onset use is proposed as an indicator of risk for substance use disorders, but risk and protective factors related to early-onset use have not been identified. The current study compared risk and protective factors that distinguish early- and late-onset cannabis users from abstainers using data collected from a large community sample. The study also examined onset-group differences in participants’ reports of substance use disorder symptoms a decade later. Heavy episodic drinking (early-onset: OR = 7.29 CI = [1.60, 33.19]) and engagement with peers involved in deviant behaviors (early-onset: OR = 2.50 CI = [1.50, 4.13]) are risk factors for early-onset cannabis use. Protective factors, including parent monitoring (early-onset: OR = 0.73 CI = [0.58, 0.93]), engagement with peers involved in positive behaviors (early-onset: OR = 0.54 CI = [0.39, 0.76]), school engagement (early-onset: OR = 0.83 CI = [0.72, 0.96]), and academic grades (early-onset: OR = 0.37 CI = [0.21, 0.65]) also predicted early versus later onset-group differences. Early age of onset may be distinctly related to risk and protective factors previously associated with risks for substance use in all adolescents.

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Miss Samantha Lynch ◽  
Matthew Sunderland ◽  
Nicola C Newton ◽  
Cath Chapman

Abstract Focus of Presentation Mental health and substance use disorders are among the leading causes of burden of disease worldwide. These disorders often emerge during adolescence, with risk of onset peaking between the ages 13 and 24. Despite decades of research, the underlying causes of mental health disorders remain unclear. This in part may be due to limitations of existing, categorical diagnostic systems, such as low specificity demonstrated by the high rates of co-occurring mental health disorders. A growing body of research supports a move towards dimensional, empirically derived models of psychopathology, such as the Hierarchical Taxonomy of Psychopathology (Hi-TOP) model. The present systematic review seeks to identify risk and protective factors for psychopathology in young people that occur across traditional diagnostic categories by synthesising and evaluating findings from research investigating empirically based models of psychopathology. Findings Findings will be summarised in a narrative synthesis and grouped by broad research domain, such as genetic, neurobiological, cognitive social and environmental. Conclusions/Implications The implications of these findings for the development of prevention and early intervention programs will be discussed. Key messages Empirically based models of psychopathology provide a vital opportunity to advance our knowledge of the risk and protective factors for mental health and substance use disorders, and in turn lead to the development or enhancement of prevention programs.


Author(s):  
Jacob R. Stephens ◽  
Jaimee L. Heffner ◽  
Caleb M. Adler ◽  
Thomas J. Blom ◽  
Robert M. Anthenelli ◽  
...  

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