Legal substance use and the development of a <scp>DSM</scp>‐<scp>IV</scp> cannabis use disorder during adolescence: the <scp>TRAILS</scp> study

Leeuwen, Andrea Prince van; Creemers, Hanneke E.; Verhulst, Frank C.; Vollebergh, Wilma; Ormel, Johan; Oort, Floor van; Huizink, Anja C.

doi:10.1111/add.12346

Cited by 25 publications

(20 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As described in other populations (see e.g., Carroll Chapman and Wu 2012;McGillicuddy 2006), SU initiation occurred typically in adolescence, but several participants initiated SU at primary school age. Participants who were current users, had started at younger ages than those who desisted, corroborating findings in individuals without MBID (Bolland et al 2016;Nelson et al 2015;Prince van Leeuwen et al 2014). Though gender, age and lack of daytime activities were associated with SU, independent living and level of ID (MID versus BID) were not, contrary to suggestions from other studies (e.g., To et al 2014;Taggart et al 2006).…”

Section: Su Picture Recognition Knowledge Attitudes and Modeling Asupporting

confidence: 72%

Substance Use in Individuals with Mild to Borderline Intellectual Disability: an Exploration of Rates and Risks in the Netherlands

VanDerNagel

Kiewik

Didden

et al. 2017

Adv Neurodev Disord

View full text Add to dashboard Cite

Little is known about rates and risk factors of substance use (SU) in individuals with mild to borderline intellectual disabilities (MBID,. This hinders targeted prevention and treatment. In this study we assessed SU rates and risk factors in individuals with MBID in 419 adults (63% male, average IQ = 66) in 16 Dutch disability services. Lifetime and current SU, SU picture recognition, knowledge, attitudes and modeling were assessed with the Substance use and misuse in Intellectual Disability -Questionnaire (SumID-Q). Lifetime licit SU (alcohol and tobacco) was 97%, lifetime illicit SU (predominantly cannabis) was 50%. Current users of tobacco (62%), alcohol (64%), and cannabis (15%) initiated SU at a younger age than those who desisted SU (ps < .001). Participants with mild ID and those with borderline ID did not differ in SU rates (ps .429-.812), or age at SU initiation (ps .221-.853). Current licit SU and lifetime illicit SU were related to male gender, younger age, and (for smoking and stimulant use) to lack of daytime activities. However, these factors did not contribute to multivariate models when recognition, knowledge, attitudes and modeling were added. The models correctly identified current SU in 84% (smoking) and 74% (drinking), and lifetime SU in 76% (cannabis) and 84% (stimulants) of the participants. As almost all participants reported lifetime use of licit, and about half reported lifetime illicit substance use, systematic screening for substance use, and development of preventative and treatment interventions targeted to this group are needed.

show abstract

Section: Su Picture Recognition Knowledge Attitudes and Modeling Asupporting

confidence: 72%

Substance Use in Individuals with Mild to Borderline Intellectual Disability: an Exploration of Rates and Risks in the Netherlands

VanDerNagel

Kiewik

Didden

et al. 2017

Adv Neurodev Disord

View full text Add to dashboard Cite

show abstract

“…They found that at least one report of weekly cannabis use in the teens was associated to a more than eight-fold increase in the odds of later initiation of tobacco use whereas daily cannabis use at age 21 years was associated to a more than threefold increase in the odds of progressing to tobacco dependence. A more recent longitudinal study by Prince van Leeuwen et al (2014) examined whether tobacco use during adolescence affected the likelihood to abuse cannabis. They found that both early-onset tobacco use and continued tobacco use in adolescence doubled the likelihood of developing a cannabis use disorder.…”

Section: Reciprocal Influences Between Tobacco Smoking and Cannabis Usementioning

confidence: 99%

Tobacco smoking and cannabis use in a longitudinal birth cohort: Evidence of reciprocal causal relationships

Badiani

Boden

Pirro

et al. 2015

Drug and Alcohol Dependence

View full text Add to dashboard Cite

show abstract

“…Marijuana and cigarettes, two commonly used substances among adolescents and young adults (Johnston et al, 2014) are often used concurrently (Kandel & Yamaguchi, 1993; Patton et al, 2006; Prince van Leeuwen et al, 2013; Rigotti et al, 2000; Silins et al, 2013), leading to escalating use and severity of dependence (Degenhardt et al, 2001; Kandel & Yamaguchi, 1993; Korhonen et al, 2008; Lynskey et al, 1998; Mathers et al, 2006; Patton et al, 2006). These substances are each associated with negative outcomes, including increased risk of depression (Brook et al, 2012; CDC, 2012, 2013; Cuijpers et al, 2007; Degenhardt et al, 2003; Hayatbakhsh et al, 2007; Klungsoyr et al, 2006; Mathers et al, 2006; Pedersen & von Soest, 2009; van Laar et al, 2007), especially if use is initiated in adolescence (Silins et al, 2014); but these relationships may differ by gender.…”

Section: Introductionmentioning

confidence: 99%

Gender differences in the associations among marijuana use, cigarette use, and symptoms of depression during adolescence and young adulthood

Crane

Langenecker

Mermelstein

2015

Addictive Behaviors

View full text Add to dashboard Cite

Introduction As prevalence of marijuana use increases, it is important that we better understand how factors like gender, cigarette use, and depression are related to marijuana use during adolescence and young adulthood. We examined longitudinal relationships among these variables in adolescents moving into young adulthood who were studied longitudinally for six years. Methods 1,263 individuals were included in the study. Participants were oversampled for ever-smoking a cigarette at baseline, when they were 15-16 years old. Frequency of cigarette smoking and marijuana use, as well as depression symptoms were assessed at baseline, 6, 15-, 24-, 60- and 72- months. Results Cigarette use frequency and depression symptoms were associated with frequency of marijuana use (p-values <.001), particularly in adolescence, but there were important gender differences in these relationships. Specifically, symptoms of depression were related to marijuana use frequency among males (p<.001), but not females (p=.62). In addition, frequency of marijuana use was associated with increased cigarette use frequency, especially among males who had higher symptoms of depression (p<.001). However, this effect was not seen among females. Exploratory analyses suggested relationships between frequency of use and depression are specific to marijuana, not cigarettes. Conclusions Marijuana use is strongly related to depression symptoms and cigarette use frequency in males, indicating that in males these detrimental factors converge, whereas in females they do not. Gender differences in the factors related to marijuana use may mean that there are different risks for and consequences from use and have implications for prevention and intervention efforts.

show abstract

Legal substance use and the development of a DSM‐IV cannabis use disorder during adolescence: the TRAILS study

Abstract: Early-onset and continued tobacco use appear to predict the development of a cannabis use disorder in adolescence, whereas early onset and continued alcohol use do not.

Cited by 25 publications

References 37 publications

Substance Use in Individuals with Mild to Borderline Intellectual Disability: an Exploration of Rates and Risks in the Netherlands

Substance Use in Individuals with Mild to Borderline Intellectual Disability: an Exploration of Rates and Risks in the Netherlands

Tobacco smoking and cannabis use in a longitudinal birth cohort: Evidence of reciprocal causal relationships

Gender differences in the associations among marijuana use, cigarette use, and symptoms of depression during adolescence and young adulthood

Contact Info

Product

Resources

About