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The Epidemiologic Catchment Area (ECA) program of research was initiated in response to the 1977 report of the President's Commission on Mental Health. The purpose was to collect data on the prevalence and incidence of mental disorders and on the use of and need for services by the mentally ill. Independent research teams at five universities (Yale University, Johns Hopkins University, Washington University, Duke University, and University of California at Los Angeles), in collaboration with the National Institute for Mental Health, conducted the studies with a core of common questions and sample characteristics. The sites were areas that had previously been designated as Community Mental Health Center catchment areas: New Haven, Connecticut, Baltimore, Maryland, St. Louis, Missouri, Durham, North Carolina, and Los Angeles, California. Each site sampled over 3,000 community residents and 500 residents of institutions, yielding 20,861 respondents overall. The longitudinal ECA design incorporated two waves of personal interviews administered one year apart and a brief telephone interview in between (for the household sample). The diagnostic interview used in the ECA was the NIMH Diagnostic Interview Schedule (DIS), Version III (with the exception of the Yale Wave I survey, which used Version II). Diagnoses were categorized according to the DIAGNOSTIC AND STATISTICAL MANUAL OF MENTAL DISORDERS, 3rd Edition (DSM-III). Diagnoses derived from the DIS include manic episode, dysthymia, bipolar disorder, single episode major depression, recurrent major depression, atypical bipolar disorder, alcohol abuse or dependence, drug abuse or dependence, schizophrenia, schizophreniform, obsessive compulsive disorder, phobia, somatization, panic, antisocial personality, and anorexia nervosa. The DIS uses the Mini-Mental State Examination (MMSE), which measures cognitive functioning, as an indirect measure of the DSM-III Organic Mental Disorders. In the ECA survey, this diagnosis is called cognitive impairment.

This collection features data from 17,327 participants across 2,005 variables. Data from the Los Angeles, California, Catchment (UCLA) are not included. Baseline data (Wave 1) and Wave 2 data were linked to the National Death Index through 2007, which includes primary and contributing causes of death, International Classification of Disease (ICD) codes, and nature of injury variables.

The Johns Hopkins University Prevention Research center - Risks for Transitions, Baltimore city, 2008-2011 study (JHU PRC Risks for Transition in Drug Use among Urban Adults) represents data collected for a 25 years follow-up from the original JHU PRC study. At the start of the data collection, a cohort of 2,311 youth were randomly assigned to two classroom-based universal preventive interventions implemented in 43 classrooms of 19 public schools located in 5 socio-demographically distinct areas in Eastern Baltimore. This collection includes data from 1,434 respondents from the original cohort collected in 2008-2012. The mean age of the respondents was 30-32 years old.

Psychopathology (major depressive episode, phobia and anxiety disorders) was assessed using modules from the Composite International Diagnostic Interview-University of Michigan Version, CIDI- UM (WHO, 1997). An antisocial symptom scale adapted from the National Epidemiologic Survey of Alcohol and Related Conditions (NESARC) was administered which consisted of 30 questions that assessed behaviors experienced since turning 18 years of age. The alcohol, tobacco and drug modules of the interview were modeled after NESARC Alcohol Use Disorder and Associated Disabilities Interview Schedule-IV. Types of information in these modules collected include age of onset, use in past year and prior past year, frequency and recency of use, and DSM-IV abuse and dependence criteria. Socioeconomic status indicators, variables on education, employment, marital status, parenthood, social supports, family history of mental health and drug problems, general health, treatment utilization, and life events are included in this dataset.

This dataset includes 3,140 variables.