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Assessment of the Prevalence of Psychiatric Disorder in Young Adults

Published online by Cambridge University Press:  02 January 2018

Robert F. Ferdinand ,
Matthias van der Reijden ,
Frank C. Verhulst ,
Fokko J. Nienhuis  and
Robert Giel
Robert F. Ferdinand
Affiliation:
Department of Child and Adolescent Psychiatry, Sophia Children's Hospital/Erasmus University, Rotterdam
Matthias van der Reijden
Affiliation:
Department of Child and Adolescent Psychiatry, Sophia Children's Hospital/Erasmus University, Rotterdam
Frank C. Verhulst*
Affiliation:
Department of Child and Adolescent Psychiatry, Sophia Children's Hospital/Erasmus University, Rotterdam
Fokko J. Nienhuis
Affiliation:
Department of Social Psychiatry, University of Groningen, The Netherlands
Robert Giel
Affiliation:
Department of Social Psychiatry, University of Groningen, The Netherlands
*
Dr Verhulst, Sophia Children's Hospital/Erasmus University Rotterdam, Department of Child & Adolescent Psychiatry, Dr Molewaterplein 60, 3015 GJ Rotterdam, The Netherlands
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Abstract

Background

The effectiveness of different assessment procedures for determining prevalence rates of psychiatric disorder in young adults was investigated.

Method

In a two-stage multi-method procedure, the Young Adult Self-Report, the Schedules for Clinical Assessment in Neuropsychiatry (SCAN), the Structured Interview for Personality Disorders (Revised), and the Global Assessment of Functioning (GAF) Scale were used to assess prevalence rates in 706 19–24-year-olds from the general population. Furthermore, individuals' subjective perception of distress and referral to mental health services were assessed.

Results

The prevalence of any SCAN/DSM–III–R disorder was 19.3% (95% confidence interval: 11.2–27.4%). Most subjects who received a SCAN/DSM–III–R diagnosis were only mildly impaired. The highest prevalence rates of dysfunctioning (GAF score below 61) without referral to mental health services were for dissociative disorder (2.3%), sleep disorder (2.1 %), alcohol dependence (1.3%) and affective disorder (1.8%).

Conclusion

Instruments that assess functional impairment in addition to DSM–III–R diagnoses are indispensable in prevalence studies.

Type
Papers
Information
The British Journal of Psychiatry , Volume 166 , Issue 4 , April 1995 , pp. 480 - 488
Copyright
Copyright © Royal College of Psychiatrists, 1995 

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References

Achenbach, T. M. (1991) Integrative Guide to the 1991 CBCL/4–18, YSR, and TRF profiles. Burlington, VT: University of Vermont, Department of Psychiatry.Google Scholar
Achenbach, T. M., Howell, C. T., McConaughy, S. H., et al (1994) Six-year predictors of behavioral and emotional problems in a national sample: III. Transitions to early adult syndromes. In preparation.Google Scholar
American Psychiatric Association (1980) Diagnostic and Statistical Manual of Mental Disorders (3rd edn) (DSM–III). Washington, DC: APA.Google Scholar
American Psychiatric Association (1987) Diagnostic and Statistical Manual of Mental Disorders (DSM–III–R) (3rd edn, revised). Washington, DC: APA.Google Scholar
Cohen, J. (1988) Statistical Power Analysis for the Behavioral Sciences (2nd edn). Hillsdale, N. J.: Erlbaum.Google Scholar
Dufton, B. D. & Siddique, C. M. (1992) Measures in the day hospital. I. Global assessment of functioning scale. International Journal of Partial Hospitalization, 8, 41–49.Google Scholar
Endicott, J., Spitzer, R. L., Fleiss, J. L., et al (1976) The Global Assessment Scale. A procedure for measuring overall severity of psychiatric disturbance. Archives of General Psychiatry, 33, 766–771.CrossRefGoogle Scholar
Ferdinand, R. F. & Verhulst, F. C. (1994) The prediction of poor outcome in young adults: comparison of the Young Adult Self-Report, the General Health Questionnaire, and the Symptom Checklist. Acta Psychiatrica Scandinavica, 89, 405–410.Google Scholar
Ferdinand, R. F. & Verhulst, F. C. (1995) The prevalence of self-reported problems in young adults from the general population. Submitted.Google Scholar
Ferdinand, R. F., Verhulst, F. C. & Wiznitzer, M. (1995) Continuity and change from self-reported problem behaviors from adolescence into young adulthood. Journal of the American Academy of Child and Adolescent Psychiatry, in press.CrossRefGoogle Scholar
Hodiamont, P., Peer, N. & Syben, N. (1987) Epidemiological aspects of psychiatric disorder in a Dutch health area. Psychological Medicine, 17, 495–505.Google Scholar
Levy, P. S. & Lemeshow, S. (1991) Sampling of populations. New York: Wiley.Google Scholar
Ormel, J., Oldekinkel, T., Brilman, E., et al (1993) Outcome of depression and anxiety in primary care. Three-wave 3¼-year follow-up study of psychopathology and disability. Archives of General Psychiatry, 50, 759–766.Google Scholar
Pfohl, B., Blum, N., Zimmerman, M., et al (1989) Structured Interview for DSM–III–R Personality (revised) (SIDP-R). Iowa City, IA: University of Iowa.Google Scholar
Steiger, J. H. (1980) Tests for comparing elements of a correlation matrix. Psychological Bulletin, 87, 245–251.Google Scholar
Verhulst, F. C., Akkerhuis, G. W. & Althaus, M. (1985) Mental health in Dutch children: I. a cross-cultural comparison. Acta Psychiatrica Scandinavica, Suppl. 323, 72.Google Scholar
Wing, J. K., Cooper, J. E. & Sartorius, N. (1974) The Measurement and Classification of Psychiatric Symptoms. Cambridge: Cambridge University Press.Google Scholar
Wiznitzer, M., Verhulst, F. C., Van Den Brink, W., et al (1992) Detecting psychopathology in young adults. A comparison of the Young Adult Self Report, the General Health Questionnaire and the Symptom Checklist as screening instruments. Acta Psychiatrica Scandinavica, 86, 32–37.Google Scholar
World Health Organization (1978) Mental Disorders: Glossary and Guide to their Classification in Accordance with the Ninth Revision of the International Classification of Diseases (ICD–9). Geneva: WHO.Google Scholar
World Health Organization (1991) SCAN. Schedules for Clinical Assessment in Neuropsychiatry. Geneva: WHO, Division of Mental Health.Google Scholar
World Health Organization (1992) SCAN. Schedules for Clinical Assessment in Neuropsychiatry. Computer manual. Draft 9/92. Geneva: WHO, Division of Mental Health.Google Scholar
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