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I Chelminski

Publications and source records attributed to I Chelminski.

4 recordsLinked to original sources

A scale to screen for DSM-IV Axis I disorders in psychiatric out-patients: performance of the Psychiatric Diagnostic Screening Questionnaire.

BACKGROUND: The Psychiatric Diagnostic Screening Questionnaire (PDSQ) is a reliable and valid self-report scale designed to screen for the most common DSM-IV Axis I disorders encountered in out-patient mental health settings. The present report is the second large-scale validation study of the PDSQ in psychiatric out-patients. Because some of the sizes of the diagnostic groups in the initial report were modest, it is important to determine whether the recommended cut-off scores to screen for psychiatric disorders remained the same in a replication study. METHOD: Six hundred and seventy psychiatric out-patients presenting for treatment were evaluated with a semi-structured diagnostic interview after completing the PDSQ. RESULTS: Based on receiver operating curve analysis, the PDSQ performed as well in the replication sample as in the initial validation study. For nine of the 13 PDSQ subscales the recommended cut-off score in the replication study was the same as in the initial study. After combining the data from the two studies (n=1300) the mean sensitivity across the 13 PDSQ subscales was 87% and the mean negative predictive value was 97%. CONCLUSIONS: The PDSQ is a diagnostic aid designed to improve the efficiency of conducting initial diagnostic evaluations. From a clinical perspective it is important that a screening tool have good sensitivity so that most cases are detected, and high negative predictive value so that most non-cases on the measure are indeed non-cases. The results of this second large validation study indicate that most of the PDSQ subscales achieved this goal.

Adult↗

Preliminary normative data on the Geriatric Depression Scale-Short Form (GDS-SF) in a young adult sample.

As part of a larger cognitive neuropsychological study, a total of 559 consecutive undergraduates aged 17-30 years completed the shortened form (15 Yes/No items) of the self-report Geriatric Depression Scale-Short Form (GDS-SF). Approximately 22 individuals (or 4% of the total) obtained a GDS score that was indicative of "probable" depression (i.e., a score of 6 or higher, up to 15). Small but highly significant correlations (all p's < .01) were obtained between GDS-SF and age, education, and self-rated health. Fifty-one additional undergraduates from the same population were given the GDS-SF and the Beck Depression Inventory together, and the resulting correlation coefficient between these two scores was r = .84 (p < .01), thereby establishing concurrent validity of GDS-SF performance with another well-validated and reliable measure of depression in this age group.

Adolescent↗

An analysis of the "eveningness-morningness" dimension in "depressive" college students.

BACKGROUND: Circadian variability in depression has not been well characterized with respect to the "eveningness-morningness" dimension. METHODS: The "eveningness-morningness" dimension, as measured by the Home and Ostberg questionnaire, was examined among a student population (n = 1617) that was named as "depressive". Three depression scales (BDI, GDS-SF, and CESD) were used to determine "depressiveness". The Horne and Ostberg questionnaire was used to measure the degree of "eveningness-morningness". It was hypothesized that there would be negative and significant correlations between the scores on the Horne and Ostberg questionnaire and the depression scales. Consequently, it was expected that there would be a significantly higher number of evening types than the morning types among the participants identified as "depressives". RESULTS: There were significant, negative correlations between the Horne and Ostberg questionnaire scores and the responses on the 3 depression scales (for BDI r= -.174, GDS-SF r= -.182, CESD r = -.176, all p < .001). Also, a significantly higher incidence of evening types than of the morning types among the "depressive" students was found (chi2 = 11.18, p < .01). LIMITATIONS: It is uncertain to what extent these data generalize to clinical populations. CONCLUSIONS: "Depressive" college students are more likely to be evening types.

Adolescent↗