The prevalence and correlates of nonaffective psychosis in the National Comorbidity Survey Replication (NCS-R).
paper
Cited
Public
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- Authors
- Kessler, Ronald C; Birnbaum, Howard; Demler, Olga; Falloon, Ian R H; Gagnon, Elizabeth; Guyer, Margaret; Howes, Mary J; Kendler, Kenneth S; Shi, Lizheng; Walters, Ellen; Wu, Eric Q
- Year
- 2005
- Journal
- Biological psychiatry
- PMID
- 16023620
- DOI
- 10.1016/j.biopsych.2005.04.034
- PMCID
- PMC2847859
BACKGROUND: To estimate the prevalence and correlates of clinician-diagnosed DSM-IV nonaffective psychosis (NAP) in a national household survey. METHODS: Data came from the United States National Comorbidity Survey Replication (NCS-R). A screen for NAP was followed by blinded sub-sample clinical reappraisal interviews. Logistic regression was used to impute clinical diagnoses to respondents who were not re-interviewed. The method of Multiple Imputation (MI) was used to estimate prevalence and correlates. RESULTS: Clinician-diagnosed NAP was well predicted by the screen (area under the curve [AUC] = .80). The MI prevalence estimate of NAP (standard error in parentheses) is 5.0 (2.6) per 1000 population lifetime and 3.0 (2.2) per 1000 past 12 months. The vast majority (79.4%) of lifetime and 12-month (63.7%) cases met criteria for other DSM-IV hierarchy-free disorders. Fifty-eight percent of 12-month cases were in treatment, most in the mental health specialty sector. CONCLUSIONS: The screen for NAP in the NCS-R greatly improved on previous epidemiological surveys in reducing false positives, but coding of open-ended screening scale responses was still needed to achieve accurate prediction. The lower prevalence estimate than in total-population incidence studies raises concerns that systematic nonresponse bias causes downward bias in survey prevalence estimates of NAP.
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