Patterns of alcohol use and marijuana use among students at 2- and 4-year institutions

Objective: The objective of this study was to understand substance use patterns of alcohol, marijuana, and simultaneous alcohol and marijuana (SAM) use among 2- and 4-year college students. Participants: Participants were 526 young adults aged 18–23 (n?=?355 4-year students; n?=?171 2-year students) recruited from February 2015 to January 2016 who were participating in a larger longitudinal study. Methods: Latent class analysis (LCA) was used to identify past-month classes of alcohol, marijuana, and SAM use. Results: Among both 2- and 4-year students, a four-class solution yielded the best-fitting model, with 2-year classes tending to include greater marijuana use and less alcohol use and 4-year classes tending to include heavy alcohol use. Demographic characteristics were largely similar across classes. Conclusions: Classes of alcohol, marijuana, and SAM use differed by education status. Screening and prevention efforts for 4-year students may need to be tailored for the needs of 2-year students.     

Does the Role of Student Factors with Adolescent Substance Use Vary by Geography?

This study assesses the association of 12th-grade student factors (e.g., grades, classroom misbehaviors) with substance use (i.e., binge drinking, cigarette smoking, marijuana) across large, medium-sized, and nonmetropolitan areas. Based on a sample of 2,189 students from the 2013 Monitoring the Future data set, logistic regression analyses showed that poor student academic and behavioral factors were associated with higher substance use after controlling for gender, race, and socioeconomic status. Interaction analyses further showed no significant differences in the influence of student factors on substance use across locales. Results suggest that prevention efforts against substance use should target student factors regardless of area of residency.     

Changes in At-Risk American Men's Crime and Substance Use Trajectories Following Fatherhood

Fatherhood can be a turning point in development and in men's crime and substance use trajectories. At-risk boys (N = 206) were assessed annually from ages 12 to 31 years. Crime, arrest, and tobacco, alcohol, and marijuana use trajectories were examined. Marriage was associated with lower levels of crime and less frequent substance use. Following the birth of a first biological child, men's crime trajectories showed slope decreases, and tobacco and alcohol use trajectories showed level decreases. The older men were when they became fathers, the greater the level decreases were in crime and alcohol use and the less the slope decreases were in tobacco and marijuana use. Patterns are consistent with theories of social control and social timetables.     

The Marijuana Check-Up: A Brief Intervention Tailored for Individuals in the Contemplation Stage

ABSTRACT

A brief intervention tailored for marijuana users in the contemplation stage of change is presented. This “no pressure to change” approach employs principles of motivational enhancement. Empirical support for brief interventions is reviewed. Rollnick and Miller's motivational interviewing principles are outlined, with particular emphasis on stage-specific tasks faced by individuals at early stages of readiness for change based on Prochaska and DiClemente' s Transtheoretical Model of Change. The history and utility of the “check-up” as a viable intervention for individuals in earlier stages of change is also described. The Marijuana Check-Up makes use of a personalized diagrammatic feedback report on the individual's personal use, providing a focus for the one session interview. Clinical challenges and therapeutic response are illustrated with typical case vignettes germane to the Marijuana Check-Up.     

North Americans' Attitudes Toward Illegal Drugs

Public opinion polls conducted from 1969 to 2003 found a variety of opinions on the use, possession, and legalization of marijuana. Public opinion about legalizing marijuana use is increasing, but it is also increasing toward harsher penalties for those who possess a small amount of marijuana. Public opinion regarding the legalization of illegal drugs appears to be influenced by the times. The majority of Americans increasingly believe that the country has made some progress in dealing with the problems of illegal drugs, but Americans are also reporting more difficulty within their families related to marijuana. This article examines trends based in public opinion polls on the use of marijuana in the United States and Canada and discusses the social and political history of marijuana and the biophysical effects, medical uses, definitions, and previous research related to marijuana.     

Comparing American college and noncollege young adults on e-cigarette use patterns including polysubstance use and reasons for using e-cigarettes

Abstract

Objective: Existing literature on young adults’ e-cigarette and polysubstance use focused on college students. This study examined the differences between college and noncollege groups on prevalence and patterns of e-cigarette and other substance use using data from a national survey. Participants: Adults aged 18–24 from the 2013–2014 Population Assessment of Tobacco and Health Study (n?=?6,608). Methods: Independent sample t-tests and Chi-square tests were conducted to examine group differences. Results: Noncollege young adults had higher prevalence of cigarette, e-cigarette, and marijuana use; college students had higher prevalence of alcohol use. Among current e-cigarette users, college students had higher prevalence of polysubstance use of alcohol and marijuana. College students used e-cigarettes for socializing purposes more. Conclusions: Differences in prevalence and patterns of e-cigarette and other substance use between college and noncollege groups exist. Future interventions should target the social context of college life and reach out to noncollege young adults in workplaces.     

The Effects of Family Structure on African American Adolescents' Marijuana Use

The relationship between family structure and marijuana use throughout adolescence was assessed among 1,069 African Americans from the NLSY. A model was also tested suggesting that the effects of family structure on marijuana use would be mediated by poverty, neighborhood quality, and adolescents' self‐control. As most prior studies have found, family structure was not related to female adolescents' marijuana use. For young men, being raised with both biological parents was associated with less marijuana use throughout adolescence compared to those whose mothers never married, divorced early and never remarried, or divorced and remarried. Some support for the model was also found. We concluded that being raised without the presence of a biological father is a risk factor for marijuana use among young men, but African American young women from single‐parent households have unique resources that protect them from marijuana use. Understanding those resources may offer insight into prevention programs for other youth.     

Parenting Practices as Moderators of the Relationship Between Peers and Adolescent Marijuana Use

Using data from a probability sample of 4,987 adolescents, we examine the degree to which closeness to mother, closeness to father, parental support, and parental monitoring buffer the relationship between peer drug use and adolescent marijuana use. The relationship between peer drug use and adolescent marijuana use was attenuated by both closeness to father and the perception that parents would catch them for major rule violations. These findings confirm the value of conceptualizing certain family characteristics as separate variables and verify that authoritative parenting may help insulate adolescents from peer pressure to use drugs.     

Oral Cancer Risk Behaviors Among Indiana College Students: A Formative Research Study

Objectives: In fall 2004, the authors used a survey to assess the knowledge, attitudes, motivations, and behaviors of college students relative to oral cancer prevention to inform development of targeted prevention programming. Participants: A convenience sample of 1,003 undergraduate students at one public university in Indiana participated. Methods: Discriminant function analysis was employed to analyze participants' motivations; perceived risks; individuals who influence participants' alcohol, tobacco, and marijuana use; and factors that facilitate and discourage use. The study sample was divided into users and nonusers to differentiate between groups and predictor (discriminating) variables. Multiple regression analysis was used to determine the extent to which participants' knowledge, attitudes, peer perceptions, sex, age, and ethnicity contributed to participants' combined alcohol, tobacco, and marijuana use behaviors. Results: With 2 exceptions, discriminant function analysis (p < .01) correctly categorized user status (ie, nonusers vs combined users of alcohol and cigarettes; nonusers vs combined users of alcohol, cigarettes, and marijuana) by the predictor variables. Multiple regression analysis to determine whether independent variables predicted combined drug use generated significant (p < .01) results across all combined use behaviors. Conclusions: Multiple oral cancer prevention program options along with additional formative research efforts were suggested by study results.     

Tobacco,Marijuana, and Alcohol Use in University Students: A Cluster Analysis

Abstract

Objective: Segmentation of populations may facilitate development of targeted substance abuse prevention programs. The authors aimed to partition a national sample of university students according to profiles based on substance use. Participants: The authors used 2008–2009 data from the National College Health Assessment from the American College Health Association. The sample consisted of 111,245 individuals from 158 institutions. Methods: The sample was partitioned using cluster analysis according to current substance use behaviors. The association of cluster membership with individual and institutional characteristics was examined. Results: Cluster analysis yielded 6 distinct clusters. Three individual factors—gender, year in school, and fraternity/sorority membership—were the most strongly associated with cluster membership. Conclusions: In a large sample of university students, the authors were able to identify 6 distinct patterns of substance abuse. It may be valuable to target specific populations of college-aged substance users based on individual factors. However, comprehensive intervention will require a multifaceted approach.