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The natural history of depression in general practice: stochastic models

Published online by Cambridge University Press:  09 July 2009

Graham Dunn*
Affiliation:
General Practice Research Unit, Institute of Psychiatry, London
David Skuse
Affiliation:
General Practice Research Unit, Institute of Psychiatry, London
*
1 Address for correspondence: Dr Graham Dunn, General Practice Research Unit, Institute of Psychiatry, De Crespigny Park, Denmark Hill, London SE5 8AF.

Synopsis

Three statistical models are presented to describe different aspects of the natural history of depression (as recognized by a general practitioner) during a 20-year study of a single general practice. After controlling for age, the prevalence of recognized depression in men increased during the 20 years of the study (1957–76), but there was little change in women. In any given year, however, women are both more likely to become depressed than men, and are less likely to recover. The changes in prevalence are shown to be due to changes in observed incidence and recovery rates. Taking into account attendances over the previous 5 years at which a diagnosis of depression was made, the models enable one to predict, for example, incidence rates for ‘first episodes’ of recognized depression, and recovery rates for ‘chronic’ patients. In all situations there is a significant sex difference (women always being more likely to be recognized as depressed), but this difference is smaller at the end than at the beginning of the 20 years.

Type
Research Article
Copyright
Copyright © Cambridge University Press 1981

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References

REFERENCES

Baker, R. J. & Nelder, J. A. (1978). The GLIM System, Release 3; Generalized Linear Interactive Modelling. Royal Statistical Society: London.Google Scholar
Bishop, Y. M. M., Fienberg, S. E. & Holland, P. W. (1975). Discrete Mulgivariate Analysis: Theory and Practice. MIT Press: Cambridge, Mass.Google Scholar
Blumen, I., Kogan, M. & McCarthy, P. J. (1955). The Industrial Mobility of Labor as a Probability Process. Cornell University Press: Ithaca, New York.Google Scholar
Brown, A. C. & Fry, J. (1962). The Cornell Medical Index Health Questionnaire in the identification of neurotic patients in general practice. Journal of Psychosomatic Research 6, 185190.CrossRefGoogle ScholarPubMed
Brown, G. W. & Harris, T. (1978). Social Origins of Depression: A Study of Psychiatric Disorder in Women. Tavistock: London.Google Scholar
Butler, D. & Stokes, D. (1975). Political Change in Britain (2nd edn.) Macmillan: London.Google Scholar
Chatfield, C. (1975). The Analysis of Time Series: Theory and Practice. Chapman & Hall: London.CrossRefGoogle Scholar
Cooper, B. (1965). A study of 100 chronic psychiatric patients identified in general practice. British Journal of Psychiatry 111, 595605.CrossRefGoogle Scholar
Cooper, B., Fry, J. & Kalton, G. (1969). A longitudinal study of psychiatric morbidity in a general practice population. British Journal of Preventive and Social Medicine 23, 210217.Google Scholar
Cox, D. R. (1970). Analysis of Binary Data. Chapman & Hall: London.Google Scholar
Cox, D. R. (1972). Regression models and life-tables. Journal of the Royal Statistical Society B 34, 187220.Google Scholar
Duncan-Jones, P. (1981). The natural history of neurosis: probability models. In What is a Case? Problems of Definition in Psychiatric Community Surveys (ed. Wing, J. K., Bebbington, P. E. and Robins, L.), pp. 161180. Grant McIntyre: London.Google Scholar
Dunn, G. (1981). The role of linear models in psychiatric epidemiology. Psychological Medicine 11, 179184.CrossRefGoogle ScholarPubMed
Eaton, W. W. (1974). Mental hospitalization as a reinforcement process. American Sociological Review 39, 252260.CrossRefGoogle ScholarPubMed
Finlay-Jones, R. A. & Burvill, P. W. (1977). The prevalence of minor psychiatric morbidity in the community. Psychological Medicine 7, 475489.CrossRefGoogle ScholarPubMed
Goldberg, D. & Blackwell, B. (1970). Psychiatric illness in general practice: a detailed study using a new method of case identification. British Medical Journal ii, 439443.CrossRefGoogle Scholar
Greer, S. & Cawley, R. H. (1966). Some Observations on the Natural History of Neurotic Illnesses. Archdall Medical Monographs No. 3. Australasia Medical Publishing Company: Sydney.Google Scholar
Hagnell, O. (1966). A Prospective Study of the Incidence of Mental Disorder. Svenska Bokförlager Bonniers.Google Scholar
Harvey-Smith, E. A. & Cooper, B. (1970). Patterns of neurotic illness in the community. Journal of the Royal College of General Practitioners 19, 132139.Google ScholarPubMed
Ingham, J. E. & Miller, P. M. (1976). The determinants of illness declaration. Journal of Psychosomatic Research 20, 309316.CrossRefGoogle ScholarPubMed
Kedward, H. B. & Cooper, B. (1966). Neurotic disorders in urban practice: a three-year follow-up. Journal of the Royal College of General Practitioners 12, 148163.Google Scholar
Logan, W. P. D. & Cushion, A. A. (1958). Morbidity Statistics from General Practice, Volume 1: General. General kegister Office, Studies on Medical and Population Subjects no. 14. HMSO: London.Google Scholar
Rawnsley, K. & Loudon, J. B. (1962). Factors influencing the referral of patients to psychiatrists by general practitioners. British Journal of Preventive and Social Medicine 16, 174182.Google ScholarPubMed
Shepherd, M., Cooper, B., Brown, A. C. & Kalton, G. W. (1966). Psychiatric Illness in General Practice. Oxford University Press: London.Google Scholar
Skuse, D. (1981). A 20-year longitudinal study of psychiatric disorders in general practice. (In preparation.)Google Scholar
Srole, L. & Fischer, A. K. (eds.) (1978). Mental Health in the Metropolis: The Midtown Manhattan Study. New York University Press: New York.Google Scholar
Taylor, S. & Chave, S. P. W. (1964). Mental Health and Environment. Longmans, Green & Co.: London.Google Scholar
Thompson, W. A. (1977). On the treatment of grouped observations in life studies. Biometrics 33, 463470.Google ScholarPubMed
Upton, G. J. G. (1977). A memory model for voting transitions in British elections. Journal of the Royal Statistical Society A 140, 8694.Google Scholar
Weissman, M. M. & Klerman, A. (1977). Epidemiology of mental disorders. Archives of General Psychiatry 34, 98111.CrossRefGoogle Scholar
Weissman, M. M. & Myers, J. K. (1978). Rates and risks of depression symptoms in a US urban community. Acta psychiatrica scandinavica 57, 219231.CrossRefGoogle Scholar
Williams, P., Tarnopolsky, A. & Hand, D. (1980). Case definition and case identification in psychiatric epidemiology: review and assessment. Psychological Medicine 10, 101–114.CrossRefGoogle Scholar