Usefulness of the Beck Depression Inventory as a screening method for depression among the general population of Finland.
BACKGROUND
The present paper studies the effectiveness of the Beck Depression Inventory (BDI) as a screening measure for depression in a general population sample from Finland.


METHODS
The study analysed the Finnish sample of the ODIN study, a multicentre epidemiology study of depression in Europe. From this general population sample, 311 subjects were selected according to their score on the BDI within a larger assessment that included a structured diagnostic interview. Of these, 31.2% were diagnosed with major depression.


RESULTS
A cut-off score of 17/18 simultaneously maximized both sensitivity and specificity in the Receiver Operating Characteristic (ROC) curve analysis, with an Area Under the Curve (AUC) of 0.806. Similar results were found across gender, and the AUCs were not significantly different between men and women.


CONCLUSIONS
The results cannot be directly generalized to institutionalized persons, people in clinical settings, or those with range of ages not included in the present study.


CONCLUSIONS
The Beck Depression Inventory is a valid instrument for the diagnosis of depression among the general population of Finland. As a screening measure, the optimal cut-off score would be 17 or higher.
Nuevo
Roberto
R
La Princesa University Hospital, Department of Psychiatry, Madrid, Spain.
Lehtinen
Ville
V
Reyna-Liberato
Patricia M
PM
Ayuso-Mateos
José Luis
JL
D000328:Adult; D003865:Major Depressive Disorder / Q000175:diagnosis / Q000453:epidemiology*; D005260:Female; D005387:Finland / Q000453:epidemiology; D006801:Humans; D008297:Male; D008403:Mass Screening; D010556:Personality Tests; D011594:Psychometrics / Q000379:methods*; D012372:ROC Curve; D012680:Sensitivity and Specificity; D011795:Surveys and Questionnaires