The National Epidemiologic Survey on Alcohol and Related Conditions - III (NESARC-III) is a nationally representative survey of 46,500 adult Americans that collected data on alcohol use disorders and their associated disabilities in addition to collecting saliva samples for the purpose of understanding the prevalence, risk factors, health disparities, economic costs and gene-environment interactions related to alcohol use disorders and their associated disabilities. Results from the study are not yet available. The data collection is also associated with clinical trial number: NCT01273220.

National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) was designed to assess the prevalence of alcohol use disorders (AUD) and their associated disabilities in the general population. The survey is the largest ever comorbidity study of multiple mental health disorders among U.S. adults, including alcohol and other substance use disorders, personality disorders, and anxiety and mood disorders. NESARC is designed to be a longitudinal survey with the first wave fielded in 2001–2002. The second wave of interviews was completed in 2004–2005 and used the same sample of respondents. NESARC is a nationwide household survey with a probability sample representative of US adults. The final sample for Wave 1 was 43,093 respondents; Wave 2 was 34,653 of the Wave 1 respondents. Data are not publicly available; however, researchers may request specific analyses via Census.

This dataset tracks the updates made on the dataset "National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) - III" as a repository for previous versions of the data and metadata.

This dataset tracks the updates made on the dataset "National Epidemiologic Survey on Alcohol and Related Conditions (NESARC)—Wave 1 (2001–2002), and Wave 2 (2004–2005)" as a repository for previous versions of the data and metadata.

aDerived from Zimmerman et al. 29.bIncludes panic disorder, agoraphobia, social anxiety disorder, specific phobia, and generalized anxiety disorder.Percentages are weighted values.Abbreviations: MDD = Major Depressive Disorder, D(m) = MDD plus Subthreshold Hypomania, D(BP2) = Bipolar 2 depressive disorder, HAM-D = Hamilton Rating Scale for Depression, NESARC = National Epidemiological Survey on Alcohol and Related Conditions, NA = information not available in NESARC.Models 1, 2, 3 and 4 indicates that subthreshold hypomania was defined as having respectively at least 1, 2, 3, or 4 lifetime concomitant hypomanic probes screening criterion A or B for hypomania.

MDE = Major depressive episode; Dys = Dysthymia; Man = Mania or hypomania; GAD: Generalised anxiety disorder; Soc = Social phobia; Spe = Specific phobia; Pan = Panic disorder; Ago = Agoraphobia; PTSD = Post-traumatic stress disorder; ADHD = Attention-deficit/hyperactivity disorder; Alc = Alcohol abuse or dependence; Nic = Nicotine dependence. % = Percentage of the number of connections relative to the number of potential connections; N = Number of connections / number of potential connections. Bold = Connections within diagnoses; bold/italic = Connections with other diagnoses.Overview of the number of connections within and between diagnoses.

aDerived from Zimmerman et al. 29.bIncludes panic disorder, agoraphobia, social anxiety disorder, specific phobia, and generalized anxiety disorder.Percentages are weighted values.Abbreviations: MDD = Major Depressive Disorder, D(m) = MDD plus Subthreshold Hypomania, D(BP2) = Bipolar 2 depressive disorder, HAM-D = Hamilton Rating Scale for Depression, NESARC = National Epidemiological Survey on Alcohol and Related Conditions, NA = information not available in NESARC.Models 1, 2, 3 and 4 indicates that subthreshold hypomania was defined as having respectively at least 1, 2, 3, or 4 lifetime concomitant hypomanic probes screening criterion A or B for hypomania.

The main objective of this methodological report is to provide comparisons between NSDUH and other national data sources for adult and adolescent mental health prevalence estimates, updating a previous report comparing 2009 NSDUH estimates with other data sources (Hedden et al., 2012). Other sources of data are 2001 to 2003 National Comorbidity Survey Replication (NCS-R), 2001 to 2004 National Comorbidity Survey Adolescent Supplement (NCS-A), 2001 to 2002 National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) Wave 1, 2012 to 2013 NESARC-III, • 2011 to 2012 Behavioral Risk Factor Surveillance System (BRFSS), 2012 National Health Interview Survey (NHIS), 2012 Medical Expenditure Panel Survey (MEPS), 2011 to 2012 National Survey of Children\'s Health (NSCH), and 2009 and 2011 Youth Risk Behavior Survey (YRBS).

Joint health state utilities for alcohol use disorder (AUD) and 37 chronic physical and mental health conditions as well as 6 substance use disorders, mainly those commonly co-occurring with AUD, estimated from a US population sample collected in the NESARC-III survey and using SF-6D values. Presented for the entire population, those with lifetime AUD, and past year AUD.

Although current classification systems have greatly contributed to the reliability of psychiatric diagnoses, they ignore the unique role of individual symptoms and, consequently, potentially important information is lost. The network approach, in contrast, assumes that psychopathology results from the causal interplay between psychiatric symptoms and focuses specifically on these symptoms and their complex associations. By using a sophisticated network analysis technique, this study constructed an empirically based network structure of 120 psychiatric symptoms of twelve major DSM-IV diagnoses using cross-sectional data of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC, second wave; N = 34,653). The resulting network demonstrated that symptoms within the same diagnosis showed differential associations and indicated that the strategy of summing symptoms, as in current classification systems, leads to loss of information. In addition, some symptoms showed strong connections with symptoms of other diagnoses, and these specific symptom pairs, which both concerned overlapping and non-overlapping symptoms, may help to explain the comorbidity across diagnoses. Taken together, our findings indicated that psychopathology is very complex and can be more adequately captured by sophisticated network models than current classification systems. The network approach is, therefore, promising in improving our understanding of psychopathology and moving our field forward.

This report compares adult mental health prevalence estimates generated from the 2009 National Survey on Drug Use and Health (NSDUH) with estimates of similar measures generated from other national data sources. It also describes the methodologies of the different data sources and discusses the differences in survey design and estimation that may contribute to differences among these estimates. The other data systems discussed include the 2001 to 2003 National Comorbidity Survey Replication (NCS-R), 2001 to 2002 National Epidemiologic Survey on Alcohol and Related Conditions (NESARC), 2007 Behavioral Risk Factor Surveillance System (BRFSS), 2008 National Health Interview Survey (NHIS), 2008 Medical Expenditure Panel Survey (MEPS), and 2008 Uniform Reporting System (URS).

Socio-demographic, behavioral, and medical characteristics (weighted column %) of US adults by substance use disorder status, NESARC-III.

This report compares estimates of adult mental health from the 2009 National Survey on Drug Use and Health (NSDUH) with estimates of similar measures from 2001 to 2003 National Comorbidity Survey Replication (NCS-R), 2001 to 2002 National Epidemiologic Survey on Alcohol and Related Conditions (NESARC), 2007 Behavioral Risk Factor Surveillance System (BRFSS), 2008 National Health Interview Survey (NHIS), 2008 Medical Expenditure Panel Survey (MEPS), and 2008 Uniform Reporting System (URS).

Abbreviations: OR, odds ratio; CI, confidence interval; SD, standard deviationAll estimates calculated using survey weights to correct for sampling procedures. Bolded coefficients have an accompanying 95% CI that does not include 1.00.Sample Characteristics Reported by College Status.

Weighted descriptive characteristics of individuals with lifetime opioid use disorders (NESARC-III, 2012–2013) (survey n = 766; weighted population n = 5,276,507).

Antisocial personality disorder (ASPD) is a serious and symptomatically heterogenous mental health disorder. Much of the discussion has focused on whether ASPD and psychopathic traits are a continuum or whether categorical classification schemes for ASPD have merit in both adult ASPD and child ASPD traits (Bulchoz et al., 2000; Cottler et al., 1995; Ribeiro et al., 2016). Advances in statistical techniques have made it possible to adjudicate between continuous and categorical models of ASPD using factor mixture modeling (FMM), yet no prior studies have attempted such a comparison. Additionally, most previous studies have solely focused on prison or drug rehabilitation populations which may not be generalizable to those with ASPD in the community. The current study directly compares confirmatory factor analysis, latent class analysis and factor mixture modeling models of ASPD for lifetime, childhood and adult ASPD traits in a large community sample (N = 36,309) from the National Epidemiologic Survey on Alcohol and Related Conditions III (NESARC-III). ASPD symptoms were assessed using the DSM-V. The implications for ASPD diagnosis and clinical treatment will be discussed.

Abbreviations: AOR, adjusted odds ratio; CI, confidence interval; Agro, agroaphobiaAll estimates calculated using survey weights to correct for sampling procedures. Age and sex standardized prevalence presented. Bolded coefficients have an accompanying 95% CI that does not include 1.00.Standardized Prevalence for Violence Psychiatric Disorder Measures by College Status.

ObjectivesRecent violent attacks on college campuses in the United States have sparked discussions regarding the prevalence of psychiatric disorders and the perpetration of violence among college students. While previous studies have examined the potential association between mental health problems and violent behavior, the overall pattern of findings flowing from this literature remain mixed and no previous studies have examined such associations among college students.MethodsThe current study makes use of a nationally representative sample of 3,929 college students from the National Epidemiologic Study on Alcohol and Related Conditions (NESARC) to examine the prevalence of seven violent behaviors and 19 psychiatric disorder diagnoses tapping mood, anxiety, personality, and substance use disorders. Associations between individual and composite psychiatric disorder diagnoses and violent behaviors were also examined. Additional analyses were adjusted for the comorbidity of multiple psychiatric diagnoses.ResultsThe results revealed that college students were less likely to have engaged in violent behavior relative to the non-student sample, but a substantial portion of college students had engaged in violent behavior. Age- and sex-standardized prevalence rates indicated that more than 21% of college students reported at least one violent act. In addition, more than 36% of college students had at least one diagnosable psychiatric disorder. Finally, the prevalence of one or more psychiatric disorders significantly increased the odds of violent behavior within the college student sample.ConclusionsThese findings indicate that violence and psychiatric disorders are prevalent on college campuses in the United States, though perhaps less so than in the general population. In addition, college students who have diagnosable psychiatric disorders are significantly more likely to engage in various forms of violent behavior.

All odds ratios estimated using sampling weights and were adjusted for the following confounders: mental disability; general health; stressful life events; family income; living situation; marital status; sex; race; and age. Odds ratios also adjusted for all other composite psychiatric diagnoses. Bolded coefficients have an accompanying 95% CI that does not include 1.00.ap

Cross-sectional association of health services with alcohol involvement class at baseline: NESARC wave 1 (n = 15,320).