Excessive drinking and drug use during college: Prospective associations with graduate school plans and attendance.

Objective: This study examines the prospective relationship between substance use during college and two outcomes: having definite plans to attend graduate school; and, among individuals with plans, enrolling in graduate school upon college graduation. Participants:n = 980 were originally enrolled as first-time, first-year college students in an ongoing longitudinal study (August 2004 to present). Methods: Measures from personal interviews included demographics, GPA, alcohol use, alcohol abuse/dependence, and other drug use during college. Results: Fifty-four percent had definite plans to attend graduate school, and 47% of students with definite plans enrolled in graduate school. Alcohol dependence was significantly associated with reduced likelihood of having graduate school plans. Among students with plans to attend graduate school, alcohol abuse and alcohol dependence during college were associated with decreased likelihood of enrolling in graduate school. Conclusions: Substance use during college might impact graduate school enrollment, and early intervention efforts could help students achieve their educational goals.

Affective dysregulation predicts incident nonmedical prescription analgesic use among college students.

INTRODUCTION: This study investigated the relationship between four suspected risk factors-affective dysregulation, conduct problems, depressive symptoms, and psychological distress-and incident nonmedical prescription analgesic (NPA) use among college students. METHODS: The sample was derived from 929 college students from a large, mid-Atlantic university who completed the third annual College Life Study assessment (Y3) and were NPA use naïve at baseline (Y1). A series of logistic regression analyses were conducted to evaluate the predictors of incident NPA use by Y3. Separate models were developed to evaluate the association between the suspected risk factors and (a) NPA use relative to non-use of other drugs, including nonmedical use of other drug classes, (b) NPA use relative to other drug use, and (c) other drug use relative to non-use. All models included gender, parental education level, and race/ethnicity. RESULTS: Affective dysregulation was significantly associated with becoming an incident NPA user relative to both drug users without NPA use as well as non-users, after statistically controlling for demographic characteristics and other factors. Conduct problems in early childhood were positively related to both incident NPA use and other drug use without NPA use relative to non-users, after statistically controlling for demographic characteristics and other factors. Depressive symptoms were associated with NPA incidence at the bivariate level only. CONCLUSIONS: These findings extend previous research suggesting that NPA use might be related to deficits in regulating negative emotional states, and highlight possible markers for screening and intervention to prevent NPA use.

Student Hunger on Campus: Food Insecurity Among College Students and Implications for Academic Institutions.

PURPOSE: To estimate the prevalence of food insecurity among students at a large mid-Atlantic publicly funded university; examine the association between food insecurity, demographic characteristics, potential financial risk factors, and self-reported physical and mental health and academic performance; and identify possible risk factors for food insecurity. DESIGN: Cross-sectional survey. SETTING: Large, public mid-Atlantic university. PARTICIPANTS: Two hundred thirty-seven undergraduate students. MEASURES: US Department of Agriculture (USDA) 18-item Household Food Security Survey Module (HFSSM) and questions on demographics, student status, economic factors, housing stability, living arrangements, academic performance, and self-rated physical health and depression symptoms. ANALYSIS: Multivariate logistic regression analysis. RESULTS: Among students surveyed, 15% were food insecure; an additional 16% were at risk of food insecurity. Students who were African American, other race/ethnicity, receiving multiple forms of financial aid, or experiencing housing problems were more likely to be food insecure or at the risk of food insecurity (Adjusted Odds Ratio [AOR] = 4.00, 95% confidence interval [CI] = 1.83-8.71, P value < .0001; AOR = 5.26, 95% CI = 1.85-14.98, P value = .002; AOR = 3.43, 95% CI = 1.85-6.37, P value <.001; AOR = 8.00, 95% CI = 3.57-17.93, P value < .0001, respectively). Food secure students were less likely to report depression symptoms than at-risk or food insecure students. CONCLUSION: Food insecurity among college students is an important public health concern that might have implications for academic performance, retention, and graduation rates. Universities that measure food insecurity among their students will be better positioned to advocate for policy changes at state and federal levels regarding college affordability and student financial assistance.

Perceived academic benefit is associated with nonmedical prescription stimulant use among college students.

INTRODUCTION: College students are at higher than average risk for nonmedical use of prescription stimulants (NPS). A commonly identified motive among students who engage in NPS is to improve grades. Several research studies have observed that NPS most likely does not confer an academic advantage, and is associated with excessive drinking and other drug use. This study documents the proportion of the general college student population who believe that NPS will lead to improvements in academic performance. METHODS: This study gathered online survey data from a large, demographically diverse sample of college students to document the prevalence of perceived academic benefit of NPS for improving grades and to examine the association between such belief and NPS. RESULTS: Overall, 28.6% agreed or strongly agreed that NPS could help students earn higher grades, and an additional 38.0% were unsure. Students with a higher level of perceived academic benefit of NPS and more frequent patterns of drinking and marijuana use were more likely to engage in NPS, even after adjustment for a wide range of covariates. CONCLUSIONS: The results underscore the need for interventions that simultaneously correct misperceptions related to academic benefit and target alcohol and marijuana use to reduce NPS.

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.

Risk factors for gambling and substance use among recent college students.

BACKGROUND: While it is well known that substance use and gambling overlap, the degree to which this overlap can be explained by shared risk factors has not been fully explored. This study aimed to identify common and unique risk factors for gambling and substance use among young adults. METHODS: Young adults (n=1,019) in a longitudinal study since college entry were interviewed annually. Past-year frequency of seven gambling activities was assessed once (Year 5). Structural equation models evaluated suspected risk factors in two models, one for gambling with substance use as an intermediary variable, and one for substance use with gambling as the intermediary variable. RESULTS: Sixty percent gambled; 6% gambled weekly or more. Examination of the two structural models supported the existence of significant paths (a) from two of the five substance use variables (alcohol, drugs) to gambling frequency, and (b) from gambling frequency to all five substance use variables. Every risk factor associated with gambling was also associated with one or more substance use variables. Risk factors common to gambling and substance use were sex, race/ethnicity, extracurricular involvement (fraternity/sorority, athletics), impulsive sensation-seeking, and behavioral dysregulation. Risk factors unique to substance use were conduct problems, anxiety, and parent's history of alcohol and mental health problems. CONCLUSIONS: Gambling and substance use are interrelated, but with incomplete overlap in their respective risk factors. Results underscore the need for longitudinal research to elucidate their distinct etiologies.

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.

Do college students improve their grades by using prescription stimulants nonmedically?

INTRODUCTION: Many college students engage in nonmedical use of prescription stimulants (NPS) because they believe it provides academic benefits, but studies are lacking to support or refute this belief. METHODS: Using a longitudinal design, 898 undergraduates who did not have an ADHD diagnosis were studied. Year 3 GPA (from college records) of four groups was compared: Abstainers (did not engage in NPS either year; 68.8%); Initiators (NPS in Year 3 but not Year 2; 8.7%); Desisters (NPS in Year 2 but not Year 3; 5.8%); and Persisters (NPS in both years; 16.7%). Generalized estimating equations regression was used to estimate the association between NPS and change in GPA, controlling for sex and Year 2 GPA. RESULTS: GPA increased significantly within Abstainers (p<0.05), but did not change significantly within the other groups. Overall, the relationship between NPS pattern group and change in GPA was not statistically significant (p=0.081). NPS was generally infrequent, but Persisters used more frequently than Desisters (11.7 versus 3.4days in Year 2) and Initiators (13.6 versus 4.0days in Year 3, both ps<0.001), controlling for sex and Year 2 GPA. CONCLUSIONS: We cannot rule out the possibility that NPS prevented declines in GPA, but we can conclude that students who engaged in NPS showed no increases in their GPAs and gained no detectable advantages over their peers. The results suggest that prevention and intervention strategies should emphasize that the promise of academic benefits from NPS is likely illusory.

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.

Discontinuous college enrollment: associations with substance use and mental health.

OBJECTIVE: This study examined the prospective relationship of substance use and mental health problems with risk of discontinuous enrollment in college. METHODS: Participants were 1,145 students at a large public university who were interviewed annually for four years beginning at college entry in 2004 (year 1). Discontinuous enrollment was defined as a gap in enrollment of one or more semesters during the first two years (early discontinuity) or the second two years (late discontinuity) versus continuous enrollment throughout all four years. Explanatory variables measured in year 1 were scores on the Beck Depression Inventory (BDI) and the Beck Anxiety Inventory, childhood conduct problems, cannabis use, number of illicit drugs used, and alcohol consumption. In years 3 and 4, participants reported lifetime history of clinically diagnosed attention-deficit hyperactivity disorder, depression, and anxiety, including age at diagnosis. Multinomial logistic regression models were developed to evaluate the association between the independent variables and discontinuous enrollment while holding constant background characteristics. RESULTS: Higher BDI scores predicted early discontinuity but not late discontinuity, whereas cannabis and alcohol use predicted only late discontinuity. Receiving a depression diagnosis during college was associated with both early and late discontinuity. Self-reported precollege diagnoses were not related to discontinuous enrollment once background characteristics were taken into account. CONCLUSIONS: Students who experience depressive symptoms or seek treatment for depression during college might be at risk of interruptions in their college enrollment. Cannabis use and heavy drinking appear to add to this risk. Students entering college with preexisting psychiatric diagnoses are not necessarily at risk of enrollment interruptions.

Drug use patterns in young adulthood and post-college employment.

BACKGROUND: The relationship between serious drug involvement and risk for unemployment is well recognized, but few studies have prospectively examined this relationship among college students. This study used longitudinal data to examine the association between drug use patterns during college and the likelihood of employment post-college, holding constant sociodemographic variables and personality characteristics. Second, we estimate the prevalence of alcohol and other drug use disorders among employed individuals. METHODS: Data were derived from the College Life Study. Participants entered college as traditional students and were assessed annually for six years, regardless of continued college attendance. Analyses were restricted to 620 individuals no longer enrolled in school by Year 6. RESULTS: Using multinomial regression modeling, persistent drug users (i.e., used illicit drugs (other than marijuana) and/or nonmedical prescription drugs every year they were assessed during the first four years of study) were significantly more likely than non-users to be unemployed vs. employed full-time post-college. Persistent drug users and infrequent marijuana users were also more likely than non-users to be unemployed vs. employed part-time. In Year 6, 13.2% of individuals employed full-time and 23.7% of individuals employed part-time met DSM-IV criteria for drug abuse or dependence during the past year. CONCLUSIONS: If confirmed, the results of this study suggest that persistent drug use among academically achieving young adults might increase risk for post-college unemployment. More research is needed to understand the processes underlying this association. Further attention should be directed at managing substance use problems among recent college graduates who have secured employment.

Social contexts of drinking and subsequent alcohol use disorder among college students.

BACKGROUND: Previous research has suggested important contextual factors that can differentiate problem and nonproblem drinkers. OBJECTIVES: To evaluate the strength of the prospective association between social contexts of drinking and subsequent alcohol use disorder and drunk driving 2-3 years later. METHODS: The sample consisted of 652 individuals who were originally recruited at college entry, had complete data on at least one social context subscale, met the minimum criteria for Year 1 drinking, and had nonmissing data on at least one of the outcome variables in Years 3 and/or 4. Social contexts of drinking were assessed in Year 1 by using previously validated scales measuring six different situational and motivational contexts in which alcohol is consumed. DSM-IV criteria for alcohol abuse and dependence and drunk driving were assessed annually. RESULTS: Holding constant gender, race/ethnicity, and baseline drinking frequency, the frequency of drinking in a context of social facilitation, sex-seeking, or in a motor vehicle during Year 1 was significantly related to a greater likelihood of alcohol abuse, alcohol dependence, and drunk driving in Years 3 and/or 4. Drinking in a context of emotional pain was related to alcohol dependence and drunk driving but not to alcohol abuse. CONCLUSIONS: The Social Context of Drinking Scales have utility for identifying students who are at risk for developing alcohol-related problems. SCIENTIFIC SIGNIFICANCE: Identifying college students who might develop alcohol dependence requires an assessment of both situational and motivational factors that influence drinking, especially drinking in a motor vehicle.