Literature DB >> 10679842

Factors predicting the relapse of depression in old age.

S L Kivelä1, P Viramo, K Pahkala.   

Abstract

BACKGROUND: Studies in mixed-aged populations show differences between the predictors of a relapse and those of a long-term course of depression, supporting the hypothesis about similar differences among the aged. AIM: The aim was to identify the factors predicting or related to a relapse of depression among the Finnish elderly having recovered from depression during treatment.
MATERIAL AND METHODS: The population consisted of 70 depressed (DSM-III criteria) elderly (60 yr-) Finns having recovered from depression during treatment as determined 15 months after baseline. By the 4-year follow-up after the recovery, 20 patients had relapsed and 50 persons were non-depressed.
RESULTS: The logistic regression model showed major depression and psychomotor retardation to be independent predictors. Relapses were not related to stressors in life or physical illnesses occurring during the follow-up.
CONCLUSIONS: Major depressive elderly patients have a high risk for relapses without the occurrence of the stressors or physical illnesses. In clinical practice, major depressive elderly patients should be followed up in order to detect and treat potential relapses as early as possible. Cooperation between psychiatrists and general practitioners is needed in the follow-up. Theoretically, the results suggest the assumption of a biochemical aetiology of major depression. Copyright 2000 John Wiley & Sons, Ltd.

Entities:  

Mesh:

Year:  2000        PMID: 10679842     DOI: 10.1002/(sici)1099-1166(200002)15:2<112::aid-gps83>3.0.co;2-b

Source DB:  PubMed          Journal:  Int J Geriatr Psychiatry        ISSN: 0885-6230            Impact factor:   3.485


  3 in total

1.  Stressful life events, perceived stress, and 12-month course of geriatric depression: direct effects and moderation by the 5-HTTLPR and COMT Val158Met polymorphisms.

Authors:  Anthony S Zannas; Douglas R McQuoid; David C Steffens; George P Chrousos; Warren D Taylor
Journal:  Stress       Date:  2012-01-04       Impact factor: 3.493

2.  Predicting relapse in major depressive disorder using patient-reported outcomes of depressive symptom severity, functioning, and quality of life in the Individual Burden of Illness Index for Depression (IBI-D).

Authors:  Waguih William Ishak; Jared M Greenberg; Robert M Cohen
Journal:  J Affect Disord       Date:  2013-06-19       Impact factor: 4.839

3.  Prognostic models for predicting relapse or recurrence of major depressive disorder in adults.

Authors:  Andrew S Moriarty; Nicholas Meader; Kym Ie Snell; Richard D Riley; Lewis W Paton; Carolyn A Chew-Graham; Simon Gilbody; Rachel Churchill; Robert S Phillips; Shehzad Ali; Dean McMillan
Journal:  Cochrane Database Syst Rev       Date:  2021-05-06
  3 in total

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