Hostname: page-component-586b7cd67f-gb8f7 Total loading time: 0 Render date: 2024-11-26T14:21:43.344Z Has data issue: false hasContentIssue false
  • English
  • Français

Dimensions of neuroses seen in primary-care settings

Published online by Cambridge University Press:  09 July 2009

D. P. Goldberg ,
K. Bridges ,
P. Duncan–Jones  and
D. Grayson
D. P. Goldberg*
Affiliation:
Department of Psychiatry, University of Manchester, UK and NH & MRC Social Psychiatry Research Unit, Canberra, Australia
K. Bridges
Affiliation:
Department of Psychiatry, University of Manchester, UK and NH & MRC Social Psychiatry Research Unit, Canberra, Australia
P. Duncan–Jones
Affiliation:
Department of Psychiatry, University of Manchester, UK and NH & MRC Social Psychiatry Research Unit, Canberra, Australia
D. Grayson
Affiliation:
Department of Psychiatry, University of Manchester, UK and NH & MRC Social Psychiatry Research Unit, Canberra, Australia
*
1Address for correspondence: Professor D. P. Golberg, University Department of Psychiatry, Withington Hospital, West Didsbury, Manchester M20 8LR.
Get access Rights & Permissions [Opens in a new window]

Synopsis

This study uses methods of latent trait analysis to examine the relationships between psychiatric symptoms that constitute the common psychiatric disorders encountered in primary-care settings. Two highly correlated symptom dimensions of anxiety and depression are shown to underlie these disorders. Neurovegetative sysmptoms of depression are shown to be on the same dimension as psychic symptoms of depression, but to represent a more severe manifestation of depression.

Type
Research Article
Information
Psychological Medicine , Volume 17 , Issue 2 , May 1987 , pp. 461 - 470
Copyright
Copyright © Cambridge University Press 1987

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Bech, P. (1981). Rating scales for affective disorders: their validity and consistency. Acta Psychiatrica Scandinavica Suppl. 295Google Scholar
Birnbaum, A. (1968). Some latent trait models and their use in inferring an examiner's ability. In Statistical Theory of Mental Test Scores (ed. Lord, F. M. and Novick, M. R.), pp. 396–479. Addison-Wesley:Reading. MA.Google Scholar
Casey, P. R., Dillon, S. & Tyrer, P. J. (1984). The diagnostic status of patients with conspicuous psychiatric morbidity in primary care. Psychological Medicine 14, 673–682.CrossRefGoogle ScholarPubMed
Christofferson, A. (1975). Factor analysis of dichotomised variables. Psychometrika 40, 3–52.CrossRefGoogle Scholar
Dean, C., Surtees, P. G. & Sashidharan, S. P. (1983). Comparison of research diagnostic systems in an Edinburgh community sample. British Journal of Psychiatry 142, 247–256.CrossRefGoogle Scholar
Duncan-Jones, P., Grayson, D. A. & Moran, P. A. P. (1986). The utility of latent trait models in psychiatric epidemiology. Psychological Medicine 16, 391–405.Google Scholar
Foulds, G. & Bedford, A. (1975). Hierarchy of classes of psychiatric illness Psychological Medicine 5, 181–192.Google Scholar
Gibbons, R. D., Clark, D. C., Cavanaugh, S. V. & David, J. M. (1985). Application of modern psychometric theory in psychiatric research. Journal of Psychiatric Research 19, 43–55.Google Scholar
Goldberg, D. & Blackwell, B. (1970). Psychiatric illness in general practice: a detailed study using a new method of case identification. British Medical Journal ii, 439–443.CrossRefGoogle Scholar
Goldberg, D. P. & Bridges, K. W. (1985). Somatic presentations of DSM–III psychiatric disorders in primary care Journal of Psychosomatic Research 29, 563–569.Google Scholar
Goldberg, D. P. & Huxley, P. (1980). Mental Illness in the Community. Tavistock: London.Google Scholar
Jenkins, R., Smeeton, N., Marinker, M. & Shepherd, M. (1985). A study of classification of mental ill-health in general practice. Psychological Medicine 15, 403–410.CrossRefGoogle ScholarPubMed
Jong, A. de, Giel, R., Lindeboom, E. G., Slooff, C. J. & Wiersma, D. (1985). Foulds' hierarchical model of psychiatric illness in a Dutch cohort: a re-evaluation. Psychological Medicine 14, 647–654.Google Scholar
Kendell, R. E. (1975). The Role of Diagnosis in Psychiatry Blackwell Scientific Publications: London.Google Scholar
Lord, F. M. (1980). Applications of Item Response Theory to Practical Testing Problems Laurence Erlbaum Associates: HillsdaleGoogle Scholar
Maxwell, A. E. (1972). Difficulties in a dimensional description of symptomatology. British Journal of Psychiatry 121, 19–26.CrossRefGoogle Scholar
McDonald, R. P. (1982 a). Linear versus non-linear models in item response theory. Applied Psychological Measurement 6, 379–396.CrossRefGoogle Scholar
McDonald, R. P. (1982 b). Some alternative approaches to the improvement of measurement in education and psychology: fitting latent trait models. In The Improvement of Measurement in Education and Psychology (ed. Spearitt, D.), pp. 379–496. Australian Council for Educational Research: Hawthorn, Victoria.Google Scholar
Moran, P. A. P. (1985). The construction of diagnostic scales in psychiatry. The Mathematical Scientist 10, 83–92.Google Scholar
Morey, L. C. (1985). A comparitive validation of the Foulds & Bedford Hierarchy of Psychiatric Symptomatology. British Journal of Psychiatry 146, 424–428.CrossRefGoogle Scholar
Muthen, B. (1982). Some categorical response models with continuous latent variables. In Systems Under Indirect Observation: Causality, Structure, Prediction, part I (ed. Joreskog, J. G. &Wold, H.) pp. 65–80. North Holland Publishing Company: Amsterdam.Google Scholar
Rasch, G. (1960). Probabilistic Models for Some Intelligence and Attaintment Tests. Danish Institute for Educational Research: Copenhagen.Google Scholar
Sturt, E. (1981). Hierarchical patterns in the distribution of psychiatric symptoms. Psychological Medicine 11, 783–794.CrossRefGoogle ScholarPubMed
Wing, J. K., Mann, S. A., Leff, J. T. & Nixon, J. N. (1978). The concept of a case in population surveys. Psychological Medicine 8, 203–219.Google Scholar