Implementation of a computerized tool to address barriers to academic success among college students.

OBJECTIVE: Academic assistance professionals work with college students to address barriers to academic success, although few assessment tools exist. This feasibility study examined the results of implementing a computerized tool for academic assistance professionals to help students. The Measure of Obstacles to Succeeding Academically in College (MOSAIC) is a 31-item risk assessment tool used to characterize academic barriers. It utilizes a tailored computer algorithm on a mobile device to match students with resources to address academic barriers. METHODS: The MOSAIC was customized and administered at seven universities around the United States. Student responses were analyzed in Microsoft Excel. Academic assistance professionals were asked about implementation in unstructured interviews. RESULTS: Stress and study skill concerns were the most reported barriers. The MOSAIC was well received, especially among students experiencing academic difficulties, but integration into routine workflow was an obstacle to sustained implementation. CONCLUSIONS: The MOSAIC holds promise in addressing issues impeding academic success.

Can Early Disadvantage Be Overcome? A Life Course Approach to Understanding How Disadvantage, Education, and Social Integration Impact Mortality into Middle Adulthood Among a Black American Cohort.

Health equity research has identified fundamental social causes of health, many of which disproportionately affect Black Americans, such as early life socioeconomic conditions, neighborhood disadvantage, and racial discrimination. However, the role of life course factors in premature mortality among Black Americans has not been tested extensively in prospective samples into later adulthood. To better understand how social factors at various life stages impact mortality, this study examines the effect of life course poverty, neighborhood disadvantage, and discrimination on mortality and factors that may buffer their effect (i.e., education, social integration) among the Woodlawn cohort (N = 1242), a community cohort of urban Black Americans followed since 1966. Taking a life course perspective, we analyze mortality data for deaths through age 58 years old, as well as data collected at ages 6, 16, 32, and 42. At age 58, 204 (16.4%) of the original cohort have died, with ages of death ranging from 9 to 58.98 (mean = 42.9). Cox proportional hazard models adjusting for confounders show statistically significant differences in mortality risk based on timing and persistence of poverty; those who were never poor or poor only in early life had lower mortality risk at ages 43-58 than those who were persistently poor from childhood to adulthood. Education beyond high school and high social integration were shown to reduce the risk of mortality more for those who did not experience poverty early in their life course. Findings have implications for the timing and content of mortality prevention efforts that span the full life course.

In harm's way: Do college students' beliefs about cannabis put them at risk for use?

Objective: This study describes beliefs held by college students about cannabis use and examines the association between three specific cannabis beliefs and likelihood of use. Participants: 3,720 undergraduate students ages 18 to 25 attending ten colleges in one state. Methods: Data were gathered via online survey. Results: The majority (80%) of the sample was unsure or believed that cannabis was an effective way to reduce stress; 67% were unsure or believed that cannabis was not related to an increased risk for mental health problems; and 62% were unsure or believed that students who use cannabis are not more academically disengaged. Holding these beliefs, which are not supported by scientific evidence, was associated with a greater likelihood of cannabis use, even after statistically adjusting for covariates. Conclusions: These findings suggest that beliefs unsupported by scientific evidence are widespread among college students. Dispelling misinformation about cannabis might hold promise for reducing use.

Correlates of Perceived Harmfulness of Regular Cannabis Use among Canadian University Students Before and After Legalization.

Objective: Among a prospective sample of Canadian university students, this study aimed to: 1) document changes in cannabis use and perceived harmfulness of use before and after the legalization of recreational cannabis; 2) examine correlates of perceived harmfulness; and 3) explore changes in perceived harmfulness as a function of cannabis use patterns. Method: A random sample of 871 students at one western Canadian university were assessed pre- and post-legalization of recreational cannabis. Descriptive and inferential statistics were used to explore changes in cannabis use and perceived harmfulness. A random effects model was developed to assess whether cannabis legalization was associated with perceptions of harmfulness of regular cannabis use. Results: Twenty-six percent of the sample used cannabis during the past three months at both timepoints. The majority of the sample perceived regular cannabis use as a high-risk behaviour at each timepoint (57.3% and 60.9%, respectively). Results from the random effects model showed that after controlling for covariates, cannabis legalization was not associated with changes in perceived harmfulness. Perceptions of harm remained relatively stable regardless of cannabis use pattern. Respondents who endorsed cannabis use at both timepoints reported a significant increase in their frequency of cannabis use post-legalization. Conclusions: Legalization of cannabis for recreational use was not associated with substantive changes in perceptions of harm among post-secondary students, yet it might lead to increases in cannabis use among those who already use the substance. Ongoing monitoring of policies is needed, as are targeted public health initiatives to identify post-secondary students who are at risk for cannabis-related consequences.

Utilizing Student Health and Academic Data: A County-Level Demonstration Project.

Students with chronic health conditions miss more school days than their peers and are at increased risk for performing worse on standardized tests and not completing a high school degree. University-based researchers, state government leaders, and a local county school system collaborated to use existing health and academic data to (1) evaluate the strength of the relationship between health status and school performance (absenteeism, grades) and (2) describe the health status of students who are chronically absent. Analyses included descriptive statistics, chi-square tests, negative binomial regression models, and estimated marginal means. The most common health conditions among the 3,663 kindergarten through Grade 12 students were ADD (attention deficit disorder)/ADHD (attention deficit hyperactivity disorder), asthma, migraine headaches, mental health conditions, and eczema/psoriasis/skin disorders. After controlling for covariates, having asthma or a mental health diagnosis was positively associated with absences; and having an ADD/ADHD or mental health diagnosis was negatively associated with GPA (grade point average). Chronically absent students had significantly lower GPAs, and a higher number of health conditions than other students. The success of this demonstration project encourages strengthening existing collaborations and establishing new multidisciplinary partnerships to analyze existing data sources to learn more about the relationship between student health and academic achievement. Moreover, connecting health status to academic achievement might be a chief tactic for advocating for additional resources to improve the care and management of chronic disease conditions among students.

Risks associated with alcohol and marijuana use among college student athletes: The case for involving athletic personnel in prevention and intervention.

The purpose of this study was to describe alcohol and marijuana use patterns and related consequences among student athletes. A total of 12,510 students (n=1,233 athletes) completed four cross-sectional online annual surveys as part of a multi-site campus initiative. Chi-square tests of independence, t-tests, and regression models evaluated differences in alcohol and marijuana use between athletes and non-athletes. The prevalence of binge drinking and high intensity drinking was significantly higher among student athletes than non-athletes, even after controlling for demographic characteristics. Thirteen percent of student athletes experienced an alcohol-related injury during the past year; this was more common among binge drinkers than non-binge drinkers (20.5% and 2.6%, respectively). Among student athletes, past-month binge drinking and past-year marijuana use were significantly associated with lowered GPA (ps<.01). Skipping class was twice as prevalent among student athletes who used marijuana as compared with athletes who did not use marijuana, but no differences were found related to binge drinking. Components for a training for athletic personnel to reduce risks for alcohol-related injury and academic consequences that are associated with alcohol and marijuana use among student athletes are described. Involving athletic personnel might be an important strategy to identify and intervene with high-risk student athletes.

Substance Use, Academic Performance, and Academic Engagement Among High School Seniors.

BACKGROUND: Substance use is prevalent and is associated with academic performance among adolescents. Few studies have examined the association between abstinence from all substances and academic achievement. METHODS: Data from a nationally representative sample of 9578 12th graders from the 2015 Monitoring the Future survey were analyzed to examine relationships between abstinence from substance use and 4 academic variables: skipping school, grades, academic self-efficacy, and emotional academic engagement. Participants were categorized as lifetime non-users, former users, and past-year users based on the use of 14 substances. RESULTS: Approximately one-fourth of participants had never used cigarettes, alcohol, or other drugs during their lifetime, and 8%wt used at least one substance during their lifetime but not during the past year. Adjusting for demographic variables, past-year substance users had 2.71 greater odds of skipping school during the past month than lifetime non-users and 1.74 greater odds of having low grades. Lifetime non-users reported greater academic self-efficacy and emotional academic engagement than past-year users. CONCLUSIONS: Many 12th graders have abstained from all substance use during their lifetime, and these adolescents experience better academic outcomes than their substance-using peers. Substance use prevention programs should be evaluated as a way to promote academic achievement.

Continuity of drunk and drugged driving behaviors four years post-college.

BACKGROUND: Driving under the influence of alcohol is a leading cause of injury and premature death among young adults, and college-educated individuals are at particularly high risk. Less is known about driving under the influence of other drugs, which is on the rise. METHOD: This study describes prospective seven-year trends in alcohol and other drug (AOD)-involved driving among a young-adult sample beginning with their second year of college (i.e., Years 2-8), and documents the extent of continuity in such behaviors across time. Originally recruited as incoming first-year students at one large public university, participants (n=1194) were interviewed annually about how frequently they drove while drunk/intoxicated (DWI), after drinking any alcohol (DAD), and/or while under the influence of other drugs (DD). Follow-up rates were high (>75% annually). RESULTS: Among participants with access to drive a car, annual prevalence peaked in Year 4 (modal age 21) for both DWI (24.3%wt) and DD (19.1%wt) and declined significantly thereafter through Year 8 (both ps<0.05). DAD was far more prevalent than DWI or DD, increasing from 40.5%wt in Year 2 to 66.9%wt in Year 5, and plateauing thereafter. Among marijuana-using participants, likelihood of DD was consistently greater than the likelihood of DWI among Heavy Episodic and Light-to-Moderate drinkers, and it declined significantly during Years 5-8 (p<0.05). CONCLUSION: Post-college declines in heavy drinking and DWI prevalence were encouraging but did not necessarily translate to reductions in likelihood of engaging in DWI, depending on drinking pattern. College-educated individuals represent an important target for AOD-involved driving prevention.

Trajectories of energy drink consumption and subsequent drug use during young adulthood.

BACKGROUND: Highly caffeinated energy drinks (EDs) are popular with adolescents and young adults, but longitudinal consumption patterns are poorly understood especially in relation to other substance use. METHODS: ED and other substance use were assessed annually (modal ages 21-25) among a sample (n=1099) who were originally recruited as first-year college students (modal age 18). Trajectory groups were derived based on probability of past-year use during ages 21-24, and compared for possible differences in substance use outcomes at age 25, holding constant demographics, sensation-seeking, other caffeine consumption, and age 21 substance use. RESULTS: From age 21-25, ED consumption declined in both annual prevalence [62.5%wt to 49.1%wt (wt=weighted)] and frequency of use among consumers (35.2-26.3 days/year). Yet individuals exhibiting a Persistent trajectory (51.4%) of consumption outnumbered those with Non-Use (20.6%), Intermediate (17.4%), or Desisting (10.6%) trajectories. Age 25 cocaine use, nonmedical use of prescription stimulants (NPS), and alcohol use disorder (AUD) risk were significantly associated with trajectory group membership, with Persistent and Intermediate groups exhibiting the highest risk for such outcomes, even accounting for prior substance use and other risk factors. Neither marijuana nor tobacco use were associated with group membership. CONCLUSIONS: The typical pattern of ED consumption among this sample was sustained use throughout young adulthood. Such individuals appear to be at high risk for adverse substance use outcomes, and results suggest possible specificity regarding cocaine use and NPS, and AUD risk. More research is needed to understand the mechanisms underlying the connection between ED and substance use.

Prevalence and incidence of drug use among college students: an 8-year longitudinal analysis.

BACKGROUND: Drug use among college students is associated with adverse academic and health outcomes and risks to personal safety. OBJECTIVES: This study utilized data from a longitudinal study to estimate annual prevalence, cumulative lifetime prevalence, and incidence of ten types of drug use during the eight years after college entry and the average age of onset of each drug used. METHODS: Participants (N = 1,253; 52% female) were young adults who were originally enrolled as first-time, first-year students at a university in the mid-Atlantic US. Annual personal interviews gathered data about the use of seven illicit drugs and three prescription drugs used nonmedically. Annual follow-up rates ranged from 76 to 91%. RESULTS: Marijuana was the most commonly used drug in every year of the study, with the highest annual prevalence estimates in Year 3 (47%wt). In Year 8, when the modal age of participants was 25, 29%wt used marijuana during the past year. Nonmedical use of prescription drugs was more prevalent during college than in the later years of the study. Although the prevalence of cocaine and ecstasy use was low (cumulative prevalence estimates of 17%wt and 13%wt, respectively), incidence for these drugs was particularly high in the later years of the study. CONCLUSION: Drug use is prevalent among college students, and drug use persists among young adults, even after many have graduated college. More attention should be directed at identifying and intervening with students at risk for drug use to mitigate possible academic, health, and safety consequences.

Drug involvement during and after college: Estimates of opportunity and use given opportunity.

BACKGROUND: College students perceive widespread availability of drugs and prescription medications for non-medical use on campus, but less is known about the relationship between opportunity to use, use, and use given opportunity of these drugs during and after college. The current study describes annual trends in (1) opportunity to use, (2) use, and (3) use given opportunity of eight drugs and three prescription medications used non-medically over seven years. METHODS: Data were derived from a longitudinal cohort study of 1253 first-year college students (52% female, 72% non-Hispanic white) at one large, public university. Annually, past-year opportunity to use and use were assessed for marijuana, hallucinogens, inhalants, cocaine, ecstasy, amphetamines, methamphetamine, heroin, and non-medical use of prescription stimulants, analgesics, and tranquilizers. Binary variables were created to represent opportunity to use, use, and use given opportunity for each drug. RESULTS: Participants had the greatest opportunity to use marijuana compared with other drugs during the study period, but there was a significant decline in the opportunity to use marijuana over time. Notably, opportunity for both drugs other than marijuana and prescription medications used non-medically consistently declined, while use given opportunity remained relatively stable over time. CONCLUSIONS: These findings suggest that changes in drug use are driven by changes in opportunity to use, even during the post-college years. Greater opportunity to use and use of all drugs during the college years in comparison with the post-college years confirms the high-risk nature of the college environment.

Energy Drink Use Patterns Among Young Adults: Associations with Drunk Driving.

BACKGROUND: Highly caffeinated "energy drinks" (ED) are commonly consumed and sometimes mixed with alcohol. Associations between ED consumption, risk-taking, and alcohol-related problems have been observed. This study examines the relationship between ED consumption-both with and without alcohol-and drunk driving. METHODS: Data were derived from a longitudinal study of college students assessed annually via personal interviews. In Year 6 (modal age 23; n = 1,000), participants self-reported their past-year frequency of drunk driving, ED consumption patterns (frequency of drinking alcohol mixed with energy drinks [AmED] and drinking energy drinks without alcohol [ED]), alcohol use (frequency, quantity), and other caffeine consumption. Earlier assessments captured suspected risk factors for drunk driving. Structural equation modeling was used to develop an explanatory model for the association between ED consumption patterns and drunk driving frequency while accounting for other suspected risk factors. RESULTS: More than half (57%) consumed ED at least once during the past year. Among ED consumers, 71% drank AmED and 85% drank ED alone; many (56%) engaged in both styles of ED consumption while others specialized in one or the other (29% drank ED alone exclusively, while, 15% drank AmED exclusively). After accounting for other risk factors, ED consumption was associated with drunk driving frequency in 2 ways. First, a direct path existed from ED frequency (without alcohol) to drunk driving frequency. Second, an indirect path existed from AmED frequency through alcohol quantity to drunk driving frequency. CONCLUSIONS: Among this sample, ED consumption with and without alcohol was common, and both styles of ED consumption contributed independently to drunk driving frequency. Results call for increased attention to the impact of different patterns of ED consumption on alcohol-related consequences, such as drunk driving.

Drinking Like an Adult? Trajectories of Alcohol Use Patterns Before and After College Graduation.

BACKGROUND: College students who engage in high-risk drinking patterns are thought to "mature out" of these patterns as they transition to adult roles. College graduation is an important milestone demarcating this transition. We examine longitudinal changes in quantity and frequency of alcohol consumption between the college years and the 4 years after graduation and explore variation in these changes by gender and race/ethnicity. METHODS: Participants were 1,128 college graduates enrolled in a longitudinal prospective study of health-risk behaviors. Standard measures of alcohol consumption were gathered during 8 annual personal interviews (76 to 91% annual follow-up). Graduation dates were culled from administrative data and self-report. Spline models, in which separate trajectories were modeled before and after the "knot" of college graduation, were fit to 8 annual observations of past-year alcohol use frequency and quantity (typical number of drinks/drinking day). RESULTS: Frequency increased linearly pregraduation, slightly decreased postgraduation, and then rebounded to pregraduation levels. Pregraduation frequency increased more steeply among individuals who drank more heavily at college entry. Quantity decreased linearly during college, followed by quadratic decreases after graduation. CONCLUSIONS: Results suggest that the postcollege "maturing-out" phenomenon might be attributable to decreases in alcohol quantity but not frequency. High-frequency drinking patterns that develop during college appear to persist several years postgraduation.

Marijuana use trajectories during college predict health outcomes nine years post-matriculation.

BACKGROUND: Several studies have linked marijuana use with a variety of health outcomes among young adults. Information about marijuana's long-term health effects is critically needed. METHODS: Data are from a ten-year study of 1253 young adults originally recruited as first-year college students and assessed annually thereafter. Six trajectories of marijuana use during college (Non-Use, Low-Stable, Early-Decline, College-Peak, Late-Increase, Chronic) were previously derived using latent variable growth mixture modeling. Nine health outcomes assessed in Year 10 (modal age 27) were regressed on a group membership variable for the six group trajectories, holding constant demographics, baseline health status, and alcohol and tobacco trajectory group membership. RESULTS: Marijuana trajectory groups differed significantly on seven of the nine outcomes (functional impairment due to injury, illness, or emotional problems; psychological distress; subjective well-being; and mental and physical health service utilization; all ps<.001), but not on general health rating or body mass index. Non-users fared better than the Late-Increase and Chronic groups on most physical and mental health outcomes. The declining groups (Early-Decline, College-Peak) fared better than the Chronic group on mental health outcomes. The Late-Increase group fared significantly worse than the stable groups (Non-Use, Low-Stable, Chronic) on both physical and mental health outcomes. CONCLUSIONS: Even occasional or time-limited marijuana use might have adverse effects on physical and mental health, perhaps enduring after several years of moderation or abstinence. Reducing marijuana use frequency might mitigate such effects. Individuals who escalate their marijuana use in their early twenties might be at especially high risk for adverse outcomes.

The academic consequences of marijuana use during college.

Although several studies have shown that marijuana use can adversely affect academic achievement among adolescents, less research has focused on its impact on postsecondary educational outcomes. This study utilized data from a large longitudinal cohort study of college students to test the direct and indirect effects of marijuana use on college grade point average (GPA) and time to graduation, with skipping class as a mediator of these outcomes. A structural equation model was evaluated taking into account a variety of baseline risk and protective factors (i.e., demographics, college engagement, psychological functioning, alcohol and other drug use) thought to contribute to college academic outcomes. The results showed a significant path from baseline marijuana use frequency to skipping more classes at baseline to lower first-semester GPA to longer time to graduation. Baseline measures of other drug use and alcohol quantity exhibited similar indirect effects on GPA and graduation time. Over time, the rate of change in marijuana use was negatively associated with rate of change in GPA, but did not account for any additional variance in graduation time. Percentage of classes skipped was negatively associated with GPA at baseline and over time. Thus, even accounting for demographics and other factors, marijuana use adversely affected college academic outcomes, both directly and indirectly through poorer class attendance. Results extend prior research by showing that marijuana use during college can be a barrier to academic achievement. Prevention and early intervention might be important components of a comprehensive strategy for promoting postsecondary academic achievement.

Evidence and knowledge gaps for the association between energy drink use and high-risk behaviors among adolescents and young adults.

Sales of energy drinks have increased rapidly since their introduction to the marketplace in the 1990s. Despite the health concerns raised about these beverages, which are often highly caffeinated, surprisingly little data are available to estimate the prevalence of their use. This review presents the results of secondary data analyses of a nationally representative data set of schoolchildren in the United States and reviews the available research on the association between energy drink use and risk-taking behaviors. Approximately one-third of the students surveyed were recent users of energy drinks, with substantial variation by age, sex, and race/ethnicity. Among the health and safety concerns related to energy drinks and their consumption is the possible potentiation of risk-taking behaviors. The review of available research reveals that, although there does appear to be a strong and consistent positive association between the use of energy drinks and risk-taking behavior, all but one of the available studies used cross-sectional designs, thereby limiting the ability to make inferences about the temporal nature of the association. Thus, more research is needed to understand the nature of this association and how energy drinks, particularly those containing caffeine, might impact adolescent health and safety, especially given the high prevalence of their use among youth.

Providing alcohol to underage youth: the view from young adulthood.

BACKGROUND: Many underage drinkers obtain alcohol from legal-age family, friends, and acquaintances. This study aimed to understand the attitudes and behaviors of young adults related to providing alcohol to underage drinkers. METHODS: Participants were 755 current or recent college students of legal drinking age (ages 22 to 26) who were approached by a minor to provide alcohol at least once since turning 21. Interviewers assessed frequency of providing alcohol, relationship to the recipients, and general attitudes about providing alcohol to minors. Separate questions asked about younger (under 18) and older (18 to 20) minors. Correlates and predictors of provision and frequency of provision were examined via logistic regression and Poisson regression, focusing on demographics, sensation-seeking, behavioral dysregulation, age at first drink, parental history of alcohol problems, fraternity/sorority involvement, attitudes about provision, violations, peer drinking norms, and alcohol use disorder (AUD) risk during and post-college. RESULTS: Most participants (84.6%) provided alcohol to minors at least once. Provision to older minors was more prevalent (82.8%) than to younger minors (20.7%); it was also more frequent. Few (2.4%) were ever caught providing alcohol. Recipients were more commonly friends or family members rather than acquaintances or strangers. Legal concerns about providing alcohol (82.5 and 53.7% for younger and older minors, respectively) were more prevalent than health concerns (55.7 and 9.5%). Legal concerns consistently predicted lower likelihood of provision, independent of demographics. Health concerns and lower post-college AUD risk scores also independently predicted lower likelihood of provision, but only to older minors. Fraternity/sorority involvement and higher peer drinking norms were associated with higher provision frequency, whereas legal concerns and college violations were associated with lower provision frequency. CONCLUSIONS: Young adults who have recently turned 21 could represent an important target for prevention strategies to reduce underage drinking on college campuses. More research is needed to understand the motivations of young adults who provide alcohol to underage drinkers.

False identification use among college students increases the risk for alcohol use disorder: results of a longitudinal study.

BACKGROUND: It is well known that using false identification (ID) is a common method by which underage youth in the United States obtain alcohol. While false ID use is associated with high-risk drinking patterns, its association with alcohol use disorder (AUD), independent of other risk factors, has not been firmly established. METHODS: Participants were 1,015 college students recruited from 1 university and assessed annually during their first 4 years of college. Latent variable growth curve modeling was used to identify significant predictors of false ID use and test the hypothesis that false ID use increased the risk for AUD, by increasing the frequency and/or quantity of alcohol use. Several other hypothesized risk factors for AUD were accounted for, including demographics (sex, race, living situation, religiosity, socioeconomic status), individual characteristics (childhood conduct problems, sensation-seeking, age at first drink), high school behaviors (high school drinking frequency, drug use), family factors (parental monitoring, parental alcohol problems), perception of peer drinking norms, and other factors related to false ID use. RESULTS: False IDs were used by almost two-thirds (66.1%) of the sample. False ID use frequency was positively associated with baseline quantity and frequency of alcohol use, independent of all other factors tested. False ID use was not directly related to AUD risk, but indirectly predicted increases in AUD risk over time through its association with greater increases in alcohol use frequency over time. Several predictors of false ID use frequency were also identified. CONCLUSIONS: False ID use may contribute to AUD risk by facilitating more frequent drinking. If replicated, these findings highlight the potential public health significance of policies that enforce sanctions against false ID use. Students who use false IDs represent an important target population for alcohol prevention activities.