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.

Background The goal of this study was to estimate rates of relapse to smoking in the community and to identify predictors of relapse. Methods Data were drawn from the Waves 1 and 2 of the National Epidemiologic Survey of Alcohol and Related Conditions (NESARC). Logistic regression analyses were used to estimate the probability of relapse at Wave 2 among individuals who were abstinent at Wave 1 given length of abstinence as well as the presence of several sociodemographic, psychopathologic and substance use-related variables at Wave 1. Results The risk for relapse among individuals who had been abstinent for 12 months or less at the baseline assessment was above 50%. Among individuals who had been abstinent for over a year, risk of relapse decreased hyperbolically as a function of time, and stabilized around 10% after 30 years of abstinence. Although several sociodemographic, psychopathologic and tobacco-related variables predicted relapse in univariate analyses, only younger age at cessation and shorter duration of abstinence independently predicted risk of relapse in multivariable analyses. Conclusions The first year after a quit attempt constitutes the period of highest risk for relapse. Although the risk for relapse decreases over time, it never fully disappears. Furthermore, younger age at smoking cessation also increases the risk for relapse. This information may help develop more targeted and effective relapse prevention programs.

Background An extensive clinical literature has noted gender differences in the etiology and clinical characteristics of individuals with alcohol dependence (AD). Despite this knowledge, many important questions remain. Methods Using the 2001 to 2002 National Epidemiologic Survey on Alcohol and Related Conditions (n = 43,093), we examined differences in sociodemographic characteristics, psychiatric and medical comorbidities, clinical correlates, risk factors, and treatment-utilization patterns of men (N = 2,974) and women (N = 1,807) with lifetime AD. Results Men with lifetime AD were more likely than women to be diagnosed with any substance use disorder and antisocial personality disorder, whereas women were more likely to have mood and anxiety disorders. After adjusting for sociodemographic characteristics and gender differences in psychiatric comorbidity in the general population, AD was associated with externalizing disorders and any mood disorder among women only. Men with AD met more criteria, had longer episodes, and were younger at the age of first drink. There were no gender differences in remission rates. Women with AD were more likely to have a family and a spouse with history of alcohol use disorders. Treatment rates were low for both genders, and women were more likely to report social stigmatization as a treatment barrier. Conclusions There are important gender differences in the psychiatric comorbidities, risk factors, clinical characteristics, and treatment-utilization patterns among individuals with lifetime AD.

This study presents data on the association of intimate partner violence (IPV) perpetration and rates of psychiatric disorders, and other correlates. Data were drawn from Wave 2 of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC), a nationally representative sample of adults in the United States, 18 years and older, residing in households and group quarters. The sample comprised adults who reported being in a relationship within the past 12 months (N = 25,631). Of these, 1,677 individuals reported perpetrating IPV (4.2% in men, 7.0% in women). Compared to non-IPV perpetrators, IPV perpetrators had greater odds of having any psychiatric disorder, 42.0% and 67.7%, respectively, OR = 2.89, 95% CI [2.51, 3.32]. After adjusting for the effects of nuisance variables, being younger, having an alcohol use disorder, a personality disorder, low levels of social support, and low income were associated with perpetration. Across a wide range of factors, IPV victimization itself had the strongest association with perpetration, AOR = 66.12, 95% CI [55.01, 79.48]. Mental health assessments of IPV perpetrators might offer an opportunity to identify and treat psychiatric disorders and improve the clinical course of conditions that can be affected by ongoing acts of violence.

Objective Prior research indicates that different types of childhood maltreatment frequently co-occur and confer risk for adulthood intimate partner violence (IPV). However, it is unknown whether the risk of IPV is due to specific type(s) of maltreatment or to their shared association or both. Although these competing explanations have different implications for intervention, they have never been evaluated empirically. Method Data were drawn from a nationally representative survey of 34,653 US adults, the 2004–2005 National Epidemiologic Survey on Alcohol and Related Conditions (NESARC). Structural equation modeling was used to simultaneously examine the shared and specific effects of five types of childhood maltreatment (i.e., sexual abuse, physical and emotional abuse and neglect) on the risk of different IPV behaviors (i.e., perpetration, victimization and reciprocal violence). Analyses were stratified by sex and adjusted for sociodemographic characteristics (i.e., age, personal income, educational background and race/ethnicity). Results Most types of childhood maltreatment increased the risk of victimization, perpetration and reciprocal violence. Effects of maltreatment types on each IPV behavior were exerted mostly through a latent factor representing the shared effect across all different types of maltreatment in both sexes (CFI=0.990, TLI=0.990, RMSEA=0.023), although sexual abuse had an additional effect on victimization. Conclusions Because childhood maltreatment types increase the risk of each intimate partner violence behavior mainly through a general maltreatment dimension, underlying biological and developmental-ecological mechanisms should be considered important targets of prevention for both victimization and perpetration of abuse in adult relationships.