The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.
The National Comorbidity Survey of the United States
Abstract
This paper presents an overview of the background, design, and preliminary results of the National Comorbidity Survey (NCS) the first psychiatric epidemiologic survey to administer a broadbased research diagnostic interview to a nationally representative sample of the United States. The survey shows that lifetime and recent psychiatric morbidity are a good deal more prevalent than previously thought to be the case, with 48% of the population having at least one psychiatric disorder at some time in their life and 29% in the past year. Despite this widespread prevalence, serious psychiatric disorders are concentrated in a smaller sector of the population made up largely of the roughly one-sixth of the population who have a history of several different psychiatric disorders. This kind of high Comorbidity is associated with significant role impairment and disorder chronicity. Despite the fact that psychiatric disorders are common and disabling, the survey shows that only a minority of people ever obtain professional treatment for these disorders. We begin by discussing the background of the study and then turn to a description of the design and preliminary findings. The paper closes by discussing implications of these results and future directions in analysis of the NCS data.
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Kessler, R. C. (1994) · Archives of General Psychiatry · doi:10.1001/archpsyc.1994.03950010008002 · Cited by 12,370
Self-citationRobins, L. N. (1981) · Archives of General Psychiatry · doi:10.1001/archpsyc.1981.01780290015001 · Cited by 5,219
The Structured Clinical Interview for DSM-III-R (SCID): I: History, Rationale, and Description
Spitzer, R. L. (1992) · Archives of General Psychiatry · doi:10.1001/archpsyc.1992.01820080032005 · Cited by 4,336
Regier, D. A. (1990) · JAMA · doi:10.1001/jama.1990.03450190043026 · Cited by 3,962
Psychiatric disorders in America: the epidemiologic catchment area study
(1991) · Choice Reviews Online · doi:10.5860/choice.28-5931 · Cited by 2,555
Wittchen, H.-U. (1994) · Journal of Psychiatric Research · doi:10.1016/0022-3956(94)90036-1 · Cited by 2,348
Establishment of Diagnostic Validity in Psychiatric Illness: Its Application to Schizophrenia
ROBINS, E., & GUZE, S. B. (1970) · American Journal of Psychiatry · doi:10.1176/ajp.126.7.983 · Cited by 2,243
Regier, D. A. (1993) · Archives of General Psychiatry · doi:10.1001/archpsyc.1993.01820140007001 · Cited by 1,999
The Structured Clinical Interview for DSM-III-R (SCID): II. Multisite Test-Retest Reliability
Williams, J. B. W. (1992) · Archives of General Psychiatry · doi:10.1001/archpsyc.1992.01820080038006 · Cited by 1,618
International Journal of Methods in Psychiatric Research
(2006) · International Journal of Methods in Psychiatric Research · doi:10.1002/(issn)1557-0657 · Cited by 1,492
Cited by
(2009) · Cited by 2,013
Costello, E. J., Egger, H., & Angold, A. (2005) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/01.chi.0000172552.41596.6f · Cited by 1,134
The Developmental Epidemiology of Anxiety Disorders: Phenomenology, Prevalence, and Comorbidity
Costello, E. J., Egger, H. L., & Angold, A. (2005) · Child and Adolescent Psychiatric Clinics of North America · doi:10.1016/j.chc.2005.06.003 · Cited by 802
Sample designs and sampling methods for the Collaborative Psychiatric Epidemiology Studies (CPES)
Heeringa, S. G., Wagner, J., Torres, M., Duan, N., Adams, T., & Berglund, P. (2004) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.179 · Cited by 758
Clark, L. A., Cuthbert, B., Lewis-Fernández, R., Narrow, W. E., & Reed, G. M. (2017) · Psychological Science in the Public Interest · doi:10.1177/1529100617727266 · Cited by 688
Metadata
- Authors
- Kessler, R. C.
- Venue
- International Review of Psychiatry
- Publisher
- Informa UK Limited
- Published
- 1994-01-01
- Volume
- 6
- Issue
- 4
- Pages
- 365-376
- ISSN
- 0954-0261 (ISSN-L)
- 1369-1627
- OpenAlex
- W2149856342
- Cited by
- 285
- References
- 58
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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