Epidemiologic Catchment Area Study, 1980-1985: [United States] (ICPSR 6153)
Version Date: May 20, 1994 View help for published
Summary View help for Summary
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.
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Data Collection Notes View help for Data Collection Notes
This dataset represents the complete Epidemiologic Catchment Area study. As such, it supersedes the Wave 1 household sample data that were released in EPIDEMIOLOGIC CATCHMENT AREA (ECA) SURVEY OF MENTAL DISORDERS, WAVE I (HOUSEHOLD), 1980-1985: [UNITED STATES] (ICPSR 8993). The SAS transport file supplied by the principal investigator was produced using the xcopy procedure in SAS Version 5.18. The Raw Data File, Part 1, was produced by ICPSR from the SAS transport file supplied by the principal investigator. During production of the Raw Data File, rounding errors were introduced in the following variables: SW3, SW1, SW2, DIS092, D2S092, H2INCPCT, NAM, N2AM, P2INCPCT, S2DSESH, S2DSESP, S2ESH, S2ESP, GRDEPCT, G2RDEPCT, HINCPCT, H2INCPCT, PINCPCT, NAM, SESH, SDSESH, SESP, SDSESP. These rounding errors are never more than .00000001.
Sample View help for Sample
Multistage probability sampling. New Haven, Durham, and Baltimore oversampled elderly respondents. St. Louis oversampled Blacks, and Los Angeles sampled Hispanics within their minimum required sample size.
Universe View help for Universe
Persons aged 18 and older residing in New Haven, Connecticut, Baltimore, Maryland, St. Louis, Missouri, Durham, North Carolina, and Los Angeles, California.
Data Source View help for Data Source
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Version History View help for Version History
- U.S. Dept. of Health and Human Services, National Institute of Mental Health. EPIDEMIOLOGIC CATCHMENT AREA STUDY, 1980-1985: [UNITED STATES]. Rockville, MD: U.S. Dept. of Health and Human Services, National Institute of Mental Health [producer], 1992. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 1994. http://doi.org/10.3886/ICPSR06153.v1
Data in this collection are available only to users at ICPSR member institutions.
This study is provided by ICPSR. ICPSR provides leadership and training in data access, curation, and methods of analysis for a diverse and expanding social science research community.