Trajectories of Marijuana Use Beginning in Adolescence Predict Tobacco Dependence in Adulthood

Associations of attention problems and family context in childhood and adolescence with young adult daily smoking: General and smoking-specific family contexts

BACKGROUND

The potential heterogeneity in daily smoking across young adulthood has been relatively understudied. Relatedly, the unique and joint associations of earlier risk factors with young adults' daily smoking largely remain unknown. To address these gaps, this work identified subgroups of daily smoking trajectories during young adulthood and linked them to earlier attention problems and smoking-specific and general family context.

METHODS

Data came from the Seattle Social Development Project, a longitudinal study following a community sample (N = 808). Participants' daily smoking was measured from ages 21-33. Earlier attention problems were assessed at ages 14-16 and 18. Earlier smoking-specific and general family factors were assessed at ages 10-16 and 18.

RESULTS

Growth mixture models produced four profiles: chronic daily smokers, increasers, decreasers, and no-daily smokers. Results from multinomial logistic regressions revealed that earlier attention problems and smoking-specific family factors may contribute to daily smoking in the early 20 s, whereas earlier general family context provided protection for trajectories of daily smoking characterized by changes in the late 20 s and early 30 s DISCUSSION: Selective prevention strategies that expand people's repertoire of healthy options to address attention problems might be helpful, considering the possibility of using tobacco as means to mitigate attention problems. Our findings also highlight the importance of nurturing earlier general family context, a relatively overlooked dimension in smoking prevention efforts, to facilitate young adult smokers' desistence from daily smoking, particularly those who have attention problems in adolescence.

Enhancing Mood, Cognition, and Quality of Life in Pediatric Multiple Sclerosis

Pediatric-onset multiple sclerosis (POMS), representing approximately 5% of all MS cases, affects the central nervous system during its ongoing development. POMS is most commonly diagnosed during adolescence but can occur in younger children as well. For pediatric patients with MS, it is critical to manage the full impact of the disease and monitor for any effects on school and social functioning. Disease management includes not only disease-modifying therapies but also strategies to optimize wellbeing. We review the interventions with the highest evidence of ability to improve the disease course and quality of life in POMS. High levels of vitamin D and a diet low in saturated fat are associated with lower relapse rates. Exercise ameliorates fatigue and sleep. Behavioral strategies for sleep hygiene and mood regulation can also improve fatigue and perceived health. POMS management should be addressed holistically, including assessing overall symptom burden as well as the psychological and functional impact of the disease.

Smoke in the air - Associations between experimentation with cannabis and the use of tobacco and nicotine products among 15-16-year-old school students

BACKGROUND

Cannabis is the most popular illicit drug among adolescents in developed countries, including Finland. The aim of this study was to estimate 1) how cannabis experimentation among Finnish adolescents changed between 2003 and 2019, and 2) whether the associations between cannabis experiments and factors related to it, especially the use of tobacco and nicotine products, changed during the same time period.

METHODS

The analyses are based on the European School Survey Project on Alcohol and Other Drugs data, collected from Finnish adolescents aged 15 to 16 in 2003, 2007, 2011, 2015, and 2019 (N = 20,630).

RESULTS

Experimentation with cannabis among Finnish adolescents has increased since the beginning of our follow-up. At the same time, alcohol use and smoking have decreased markedly, and attitudes toward cannabis use have become more relaxed. The association between smoking and cannabis experimentation has become weaker over time. However, the use of tobacco and nicotine products, especially polytobacco, is still a strong risk factor for experimentation with cannabis. The higher the number of tobacco or nicotine products used, the higher the probability for cannabis experimentation.

CONCLUSIONS

Experimentation with cannabis has previously been concentrated predominantly on adolescents who smoke, but recently non-smokers are increasingly trying cannabis. It is possible that alternative ways of using cannabis may have increased its use. Despite the strict cannabis policy in Finland, its use has increased, which may be an indication that youth cultures and images of different substances play a significant role in adolescents experimenting with cannabis.

Marijuana and the Pediatric Population

Cannabinoids, the psychoactive compounds in marijuana, are one of the most commonly used substances in the United States. In this review, we summarize the impact of marijuana on child and adolescent health and discuss the implications of marijuana use for pediatric practice. We review the changing epidemiology of cannabis use and provide an update on medical use, routes of administration, synthetic marijuana and other novel products, the effect of cannabis on the developing brain, other health and social consequences of use, and issues related to marijuana legalization.

Tobacco and Marijuana Use Among US College and Noncollege Young Adults, 2002-2016

OBJECTIVES

To assess trends and behavioral patterns of marijuana and cigarette and/or cigar (ie, smoked tobacco) use among 18- to 22-year-old US young adults who were in or not in college.

METHODS

Data were from the 2002-2016 National Survey on Drug Use and Health. Past-30-day and past-12-month use of marijuana and smoked tobacco were assessed by college enrollment status. χ² tests were used to examine within- and between-group differences. Trends were assessed by using logistic regression and relative percentage change (RPC).

RESULTS

Among both college and noncollege individuals during 2002 to 2016, exclusive marijuana use increased (faster increase among college students; RPC = 166.6 vs 133.7), whereas exclusive smoked tobacco use decreased (faster decrease among college students; RPC = -47.4 vs -43.2). In 2016, 51.6% of noncollege and 46.8% of college individuals reported past-12-month usage of marijuana and/or smoked tobacco products (P < .05). Exclusive marijuana use was higher among college than noncollege individuals, both for past-30-day (11.5% vs 8.6%) and past-12-month use (14.6% vs 10.8%). Exclusive smoked tobacco use was higher among noncollege than college individuals, both for past-30-day (17.7% vs 10.4%) and past-12-month (17.4% vs 12.2%) use (P < .05).

CONCLUSIONS

Exclusive marijuana use is increasing among young adults overall, whereas exclusive smoked tobacco use is decreasing: faster rates are seen among college students. Exclusive marijuana use is higher among college students, whereas exclusive smoked tobacco use is higher among noncollege individuals. Surveillance of tobacco and marijuana use among young people is important as the policy landscape for these products evolves.

Does Marijuana Use at Ages 16-18 Predict Initiation of Daily Cigarette Smoking in Late Adolescence and Early Adulthood? A Propensity Score Analysis of Add Health Data

Given the declining trend in adolescent cigarette smoking and increase in general access to marijuana, it is important to examine whether marijuana use in adolescence is a risk factor for subsequent cigarette smoking in late adolescence and early adulthood. Preliminary evidence from a very small number of studies suggests that marijuana use during adolescence is associated with later smoking; however, to control confounding, previously published studies used regression adjustment, which is susceptible to extrapolation when the confounder distributions differ between adolescent marijuana users and non-users. The current study uses propensity score weighting, a causal inference method not previously used in this area of research, to weight participants based on their estimated probability of exposure given confounders (the propensity score) to balance observed confounders between marijuana users and non-users. The sample consists of participants of Add Health (a nationally representative dataset of youth followed into adulthood) who were 16-18, with no history of daily cigarette smoking at baseline (n = 2928 for female and 2731 for male sub-samples). We assessed the effect of adolescent marijuana use (exposure, ascertained at wave 1) on any daily cigarette smoking during the subsequent 13 years (outcome, ascertained at wave 4). Analyses suggest that for females (but not males) who used marijuana in adolescence, marijuana use increased the risk for subsequent daily smoking: OR = 1.71, 95% CI = (1.13, 2.59). We recommend that adolescent marijuana use be viewed as a possible risk factor for subsequent initiation of daily cigarette smoking in women.

Triple trajectories of alcohol use, tobacco use, and depressive symptoms as predictors of cannabis use disorders among urban adults

Heavy cannabis use is associated with a wide array of physical, mental, and functional problems. Therefore, cannabis use disorders (CUDs) may be a major public health concern. Given the adverse health consequences of CUDs, the present study seeks to find possible precursors of CUDs. The current study consisted of 5 waves of data collection from the Harlem Longitudinal Development Study. Among 816 participants, about half are African Americans (52%), and the other half are Puerto Ricans (48%). We used Mplus to obtain the triple trajectories of alcohol use, tobacco use, and depressive symptoms. Logistic regression analyses were then conducted to examine the associations between the trajectory groups and CUDs. The 5 trajectory groups were (1) moderate alcohol use, high tobacco use, and high depressive symptoms (MHH; 12%); (2) moderate alcohol use, high tobacco use, and low depressive symptoms (MHL; 26%); (3) moderate alcohol use, low tobacco use, and low depressive symptoms (MLL; 18%); (4) low alcohol use, no tobacco use, and high depressive symptoms (LNH; 11%); and (5) low alcohol use, no tobacco use, and low depressive symptoms (LNL; 33%). The MHH, MHL, MLL, and LNH trajectory groups were associated with an increased likelihood of having CUDs compared to the LNL trajectory group after controlling for a number of confounding factors (e.g., CUDs in the late 20s). The findings of the current longitudinal study suggest that treatments designed to reduce or quit drinking as well as smoking and to relieve depressive symptoms may reduce the prevalence of CUDs. (PsycINFO Database Record

Cannabis use among middle and high school students in Ontario: a school-based cross-sectional study

BACKGROUND

Cannabis use can have serious detrimental effects in children and adolescents. It is therefore important to continually assess the use of cannabis among young people in order to inform prevention efforts. We assessed the prevalence of cannabis use among middle and high school students in Ontario and examined its association with demographic and behavioural factors.

METHODS

Data were obtained from the 2015 Ontario Student Drug Use and Health Survey, a province-wide school-based survey of students in grades 7 through 12. Analyses included a representative sample of 9920 middle and high school students. Bivariate cross-tabulations and logistic regression analyses were used to investigate the factors associated with cannabis use.

RESULTS

Overall, 21.5% and 13.9% of students reported using cannabis in the previous year and previous month, respectively. The conditional probability that an adolescent who reported cannabis use in the previous year would report daily use was 12.5%. There was a significant dose-response gradient with age, with older students being more likely to use cannabis than younger students. In multivariable analyses, being in grades 10 through 12 (odds ratios [ORs] ranged from 3.71 to 3.85), being black (OR 2.67 [95% confidence interval (CI) 1.76-4.05]), using tobacco cigarettes (OR 10.10 [95% CI 8.68-13.92]) and being an occasional (OR 5.35 [95% CI 4.01-7.13]) or regular (OR 14.6 [95% CI 10.8-19.89]) alcohol user were associated with greater odds of cannabis use. Being an immigrant was associated with lower odds of cannabis use (OR 0.55 [95% CI 0.39-0.78]).

INTERPRETATION

The findings suggest that cannabis use is prevalent among middle and high school students in Ontario and is strongly associated with tobacco cigarette smoking and alcohol consumption. Future research should document trends in cannabis use over time, including its risks, especially when the legalization of recreational cannabis comes into effect.

Predicting Persistent, Limited, and Delayed Problematic Cannabis Use in Early Adulthood: Findings From a Longitudinal Study

OBJECTIVE

To identify risk profiles associated with patterns of problematic cannabis use in early adulthood.

METHOD

Data came from 1,229 participants in the Great Smoky Mountains Study, a prospective 20-year cohort study from 1993 to 2015 that is representative of western North Carolina with yearly assessments conducted from ages 9 and 16 years, and assessments at ages 19, 21, 26, and 30 years. Patterns of problematic cannabis use (i.e., DSM-5 cannabis use disorder or daily use) in early adulthood included the following: nonproblematic use in late adolescence (ages 19-21) and early adulthood (ages 26-30); limited problematic use in late adolescence only; persistent problematic use in late adolescence and early adulthood; and delayed problematic use in early adulthood only. Multinominal logistic regression models examined pairwise associations between these patterns and risk factors in childhood/early adolescence (ages 9-16) and late adolescence (ages 19-21). Risk factors included psychiatric disorders (e.g., anxiety, depressive), other substance use (smoking, alcohol, illicit drugs), and challenging social factors (e.g., low socioeconomic status, family functioning, peers). Sex and race/ethnicity (white, African American, American Indian) interactions were tested.

RESULTS

The persistent pattern (6.7% of sample) was characterized by more anxiety disorders across development and more DSM-5 CUD symptoms during late adolescence compared to the limited pattern (13.3%), which, in turn, had more childhood family instability and dysfunction. The delayed pattern (3.7%) was characterized by more externalizing disorders, maltreatment, and peer bullying in childhood compared to those in nonproblematic users. There were no significant interactions of sex or race/ethnicity.

CONCLUSION

Problematic cannabis use patterns during early adulthood have distinctive risk profiles, which may be useful in tailoring targeted interventions.

Patterns of cannabis use during adolescence and their association with harmful substance use behaviour: findings from a UK birth cohort

BACKGROUND

Evidence on the role of cannabis as a gateway drug is inconsistent. We characterise patterns of cannabis use among UK teenagers aged 13-18 years, and assess their influence on problematic substance use at age 21 years.

METHODS

We used longitudinal latent class analysis to derive trajectories of cannabis use from self-report measures in a UK birth cohort. We investigated (1) factors associated with latent class membership and (2) whether latent class membership predicted subsequent nicotine dependence, harmful alcohol use and recent use of other illicit drugs at age 21 years.

RESULTS

5315 adolescents had three or more measures of cannabis use from age 13 to 18 years. Cannabis use patterns were captured as four latent classes corresponding to 'non-users' (80.1%), 'late-onset occasional' (14.2%), 'early-onset occasional' (2.3%) and 'regular' users (3.4%). Sex, mother's substance use, and child's tobacco use, alcohol consumption and conduct problems were strongly associated with cannabis use. At age 21 years, compared with the non-user class, late-onset occasional, early-onset occasional and regular cannabis user classes had higher odds of nicotine dependence (OR=3.5, 95% CI 0.7 to 17.9; OR=12.1, 95% CI 1.0 to 150.3; and OR=37.2, 95% CI 9.5 to 144.8, respectively); harmful alcohol consumption (OR=2.6, 95% CI 1.5 to 4.3; OR=5.0, 95% CI 2.1 to 12.1; and OR=2.6, 95% CI 1.0 to 7.1, respectively); and other illicit drug use (OR=22.7, 95% CI 11.3 to 45.7; OR=15.9, 95% CI 3.9 to 64.4; and OR=47.9, 95% CI 47.9 to 337.0, respectively).

CONCLUSIONS

One-fifth of the adolescents in our sample followed a pattern of occasional or regular cannabis use, and these young people were more likely to progress to harmful substance use behaviours in early adulthood.

Trajectories of Marijuana Use among HIV-seropositive and HIV-seronegative MSM in the Multicenter AIDS Cohort Study (MACS), 1984-2013

To construct longitudinal trajectories of marijuana use in a sample of men who have sex with men living with or at-risk for HIV infection. We determined factors associated with distinct trajectories of use as well as those that serve to modify the course of the trajectory. Data were from 3658 [1439 HIV-seropositive (HIV+) and 2219 HIV-seronegative (HIV-)] participants of the Multicenter AIDS Cohort Study. Frequency of marijuana use was obtained semiannually over a 29-year period (1984-2013). Group-based trajectory models were used to identify the trajectories and to determine predictors and modifiers of the trajectories over time. Four distinct trajectories of marijuana use were identified: abstainer/infrequent (65 %), decreaser (13 %), increaser (12 %) and chronic high (10 %) use groups. HIV+ status was significantly associated with increased odds of membership in the decreaser, increaser and chronic high use groups. Alcohol, smoking, stimulant and other recreational drug use were associated with increasing marijuana use across all four trajectory groups. Antiretroviral therapy use over time was associated with decreasing marijuana use in the abstainer/infrequent and increaser trajectory groups. Having a detectable HIV viral load was associated with increasing marijuana use in the increaser group only. Future investigations are needed to determine whether long-term patterns of use are associated with adverse consequences especially among HIV+ persons.

National Surveys and Tobacco Use Among African Americans: A Review of Critical Factors

INTRODUCTION

Beginning in the 1970s, US national surveys showed African American youth having a lower prevalence of cigarette smoking than white youth. Yet, during adulthood, African Americans have a smoking prevalence comparable to white adults. Data sources chosen can contribute in different ways to understanding tobacco use behaviors among African American youth and adults; this article is a review of national and/or state-based health surveys to examine their methodology, racial and ethnic classifications, and tobacco-use related measures.

METHODS

Eleven national and/or state based surveys were selected for review. Eight surveys were multitopic and included questions on tobacco use and three surveys were tobacco specific. Survey methods included telephone (4), household (3), and school (4). Three major characteristics examined for each survey were: (1) survey design and methods, (2) racial and ethnic background classification, and (3) selected tobacco smoking questions. Within these three characteristics, 15 factors considered to be important for examining tobacco use behaviors by African Americans were identified a priori using previously published reviews and studies.

RESULTS

Within survey design and methods, the majority of surveys (≥7) oversampled African Americans and did not use proxy respondents for tobacco questions. All surveys used Office of Management and Budget standard classification for race/ethnicity classification. The majority of surveys (≥7) captured five of the seven tobacco-related smoking questions.

CONCLUSIONS

Programmatic objectives and/or research questions should guide the selection of data sources for tobacco control programs and researchers examining African American tobacco use behaviors.

IMPLICATIONS

This review of 11 national and state tobacco-related surveys shows that these surveys provide much needed estimates of tobacco use behaviors. However, as tobacco programs and researchers seek to examine tobacco use behaviors among African Americans, it is important to consider multiple surveys as each can contribute to informing the tobacco experience in African Americans. Most importantly, programmatic objectives and/or research questions should guide the selection of data sources for tobacco control programs and researchers examining African American tobacco use behaviors.