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  • Silveira, Ellen R. T., 1963, et al. (author)
  • Performance of the SF-36 health survey in screening for depressive and anxiety disorders in an elderly female Swedish population.
  • 2005
  • In: Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation. - : Springer Science and Business Media LLC. - 0962-9343. ; 14:5, s. 1263-74
  • Journal article (peer-reviewed)abstract
    • OBJECTIVE: To assess the sensitivity, specificity and predictive validity of suggested cut-off scores in the SF-36 mental health (MH) and mental component summary (MCS) in screening for depressive and anxiety disorders in a population sample of older Swedish women. METHOD: The sample comprised 586 randomly selected females aged 70-84 years who took part in an in-depth psychiatric examination. This provided the 'gold standard' against which the usefulness of SF-36 recommended thresholds for screening for depressive and anxiety disorders in older Swedish women was examined. RESULTS: Based on DSM-III-R criteria, 69 women (12%) were diagnosed with depression (major depression, dysthymia and/or depression NOS) and 49 (8%) with generalised anxiety and panic disorders. The previously recommended MH and MCS cut-offs (i.e. 52 and 42) gave a specificity for diagnosis of depression of 92 and 82% and sensitivity of 58 and 71%, respectively. Both the MH and MCS were good predictors of depressive disorders but poor predictors of anxiety disorders. CONCLUSION: The study supports the predictive validity of suggested SF-36 MH and MCS cut-off scores in screening for depressive disorder but not for anxiety disorder in older women in Sweden.
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Type of publication
journal article (1)
Type of content
peer-reviewed (1)
Author/Editor
Waern, Margda, 1955 (1)
Steen, Bertil, 1938 (1)
Sundh, Valter, 1950 (1)
Taft, Charles, 1950 (1)
Palsson, Sigurdur (1)
Silveira, Ellen R. T ... (1)
University
University of Gothenburg (1)
Language
English (1)
Research subject (UKÄ/SCB)
Medical and Health Sciences (1)
Social Sciences (1)
Year

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