Propiedades psicométricas del inventario de depresión de Beck IA para la población chilena
Author
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Valdés, Camila
Author
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Morales Reyes, Irma
Author
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Pérez, Carola J.
Author
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Medellin, Adriana
Author
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Rojas Castillo, María Graciela
Author
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Krause, Mariane
Admission date
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2018-06-07T20:02:25Z
Available date
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2018-06-07T20:02:25Z
Publication date
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2017
Cita de ítem
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Rev Med Chile 2017; 145: 1005-1012
es_ES
Identifier
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0717-6163
Identifier
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https://repositorio.uchile.cl/handle/2250/148714
Abstract
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Background: According to the Chilean National Health Survey (20092010), 17% of people aged 15 years or more have depressive symptoms. Thus, freely-available, easily-administered, and highly sensitive screening tests for depression are needed in clinical and research settings. Aim: To evaluate the psychometric properties of a Spanish version of the Beck Depression Inventory (BDI-IA) in adult Chilean population. Material and Methods: The inventory was applied to a sample of 1.105 adults aged between 18 to 73 years (94% women). Ninety nine participants were outpatients receiving treatment for affective disorders, 932 were parents and/or guardians of students enrolled in schools and 73 were university students (sample with no known depressive disorder). To perform data analysis, two groups from the random combination of both samples were generated. Results: The inventory showed an appropriate degree of internal consistency (Cronbach alpha = .92). An exploratory factor analysis suggested a one-factor solution. This solution was reinforced with a confirmatory factor analysis, which displayed an adequate goodness of fit. The cutoff score, based on the Youden Index, was 13/14 points. It was able to discriminate between depressed and non-depressed participants. Conclusions: These results indicate that the BDI-IA is an appropriate instrument to assess depressive symptoms in Chilean adults.
es_ES
Patrocinador
dc.description.sponsorship
Fondo de Innovación para la Competitividad (FIC) del Ministerio
de Economía, Fomento y Turismo, Proyecto IS130005 y
NS100018. Proyecto FONDECYT
11130041.