Context Although young adulthood is often characterized by rapid intellectual and social development, college-age individuals are also commonly exposed to circumstances that place them at risk for psychiatric disorders. Objective To assess 12-month prevalence of psychiatric disorders, sociodemographic correlates, and rates of treatment among individuals attending college and their non-college attending peers in the United States. Design, Setting, Participants Face-to-face interviews were conducted in the 2001-2002 National Epidemiologic Survey on Alcohol and Related Conditions ([NESARC] n=43,093). Analyses were done for the subsample of college-age individuals, defined as those aged 19-25 that were both attending (n=2,188) and not attending college (n=2,904) in the previous year. Main Outcome Measure Sociodemographic correlates and prevalence of 12-month DSM-IV psychiatric disorders, substance use, and treatment seeking among college-attending individuals and their non-college attending peers. Results Almost half of college-age individuals had a psychiatric disorder in the past year. The overall rate of psychiatric disorders was not different between college-attending individuals and their non-college attending peers. The unadjusted risk of alcohol use disorders was significantly greater for college students than their non-college attending peers (OR: 1.25, 95%, CI:1.04-1.50), though not after adjusting for background socio-demographic characteristics (AOR: 1.19, 95%: 0.98-1.44). College students were significantly less likely (unadjusted and adjusted) to have a diagnosis of drug use disorder or nicotine dependence or have used tobacco than their non-college-attending peers. Bipolar disorder was less common in individuals attending college. College students were significantly less likely to receive past year treatment for alcohol/drug use disorders than their non-college-attending peers. Conclusions Psychiatric disorders, particularly alcohol use disorders, are common in the college-age population. Although treatment rates varied across disorders, overall, less than 25% of individuals with a mental disorder sought treatment in the year prior to the survey. These findings underscore the importance of treatment and prevention interventions among college-age individuals.

Background This study aims to estimate general and racial-ethnic specific cumulative probability of developing dependence among nicotine, alcohol, cannabis or cocaine users, and to identify predictors of transition to substance dependence. Methods Analyses were done for the subsample of lifetime nicotine (n=15,918), alcohol (n=28,907), cannabis (n=7,389) or cocaine (n=2,259) users who participated in the first and second wave of the National Epidemiological Survey on Alcohol and Related Conditions (NESARC). Discrete-time survival analyses were implemented to estimate the cumulative probability of transitioning from use to dependence and to identify predictors of transition to dependence. Results The cumulative probability estimate of transition to dependence was 67.5% for nicotine users, 22.7% for alcohol users, 20.9% for cocaine users, and 8.9% for cannabis users. Half of the cases of dependence on nicotine, alcohol, cannabis and cocaine were observed approximately 27, 13, 5 and 4 years after use onset, respectively. Significant racial-ethnic differences were observed in the probability of transition to dependence across the four substances. Several predictors of dependence were common across the four substances assessed. Conclusions Transition from use to dependence was highest for nicotine users, followed by cocaine, alcohol and cannabis users. Transition to cannabis or cocaine dependence occurred faster than transition to nicotine or alcohol dependence. The existence of common predictors of transition dependence across substances suggests that shared mechanisms are involved. The increased risk of transition to dependence among individuals from minorities or those with psychiatric or dependence comorbidity highlights the importance of promoting outreach and treatment of these populations.

Background Despite the high rates of comorbidity of post-traumatic stress disorder (PTSD) and alcohol dependence (AD) in clinical and epidemiological samples, little is known about the prevalence, clinical presentation, course, risk factors and patterns of treatment-seeking of co-occurring PTSD-AD among the general population. Methods The sample included respondents of the Wave 2 of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC). Weighted means, frequencies and odds ratios (ORs) of sociodemographic correlates, prevalence of psychiatric disorders and rates of treatment-seeking were computed. Results: In the general population, the lifetime prevalence of PTSD only, AD only and PTSD-AD was 4.83%, 13.66% and 1.59%, respectively. Individuals with comorbid PTSD-AD were more likely than those with PTSD or AD only to have suffered childhood adversities and had higher rates of Axis I and II disorders and suicide attempts. They also met more PTSD diagnostic criteria, had earlier onset of PTSD and were more likely to use drugs and alcohol to relieve their PTSD symptoms than those with PTSD only; they also met more AD diagnostic criteria than those with AD only and had greater disability. Individuals with PTSD-AD had higher rates of treatment seeking for AD than those with AD only, but similar rates than those with PTSD only. Conclusion PTSD-AD is associated with high levels of severity across a broad range of domains even compared with individuals with PTSD or AD only, yet treatment-seeking rates are very low. There is a need to improve treatment access and outcomes for individuals with PTSD-AD.

Background To examine gender differences among individuals diagnosed with DSM-IV lifetime cannabis use disorder (CUD). Methods A nationally representative sample of U.S. adults aged 18 years or older that were diagnosed with lifetime CUD (N= 3,297): Men (N = 2,080), Women (N = 1,217). Data were drawn from the 2001–2002 National Epidemiologic Survey on Alcohol and Related Conditions (NESARC, n = 43,093). The survey response rate was 81%. Results Nearly all individuals with CUD had a psychiatric comorbidity (95.6% of men, 94.1% of women). Men with lifetime CUD were more likely than women to be diagnosed with any psychiatric disorder, any substance use disorder and antisocial personality disorder, whereas women with CUD had more mood and anxiety disorders. After adjusting for gender differences in sociodemographic correlates and the prevalence of psychiatric disorders in the general population, women with CUD were at greater risk for externalizing disorders. Men with CUD met more criteria for cannabis abuse, had longer episodes of CUD, smoked more joints, and were older at remission when compared to women with CUD. Women experienced telescoping to CUD. Treatment-seeking rates were very low for both genders, and there were no gender differences in types of services used or reasons for not seeking treatment. Conclusions There are important gender differences in the clinical characteristics and psychiatric comorbidities among individuals with CUD.