Screening for Depressive Disorder in Elderly Patients with Chronic Physical Diseases Using the Patient Health Questionnaire-9
Psychiatry Investigation
; : 306-313, 2017.
Article
em En
| WPRIM
| ID: wpr-164261
Biblioteca responsável:
WPRO
ABSTRACT
OBJECTIVE: We aimed to identify depressive symptom profiles that indicated the presence of depressive disorder and present optimal cut-off sub-scores for depressive symptom profiles for detecting depressive disorder in elderly subjects with chronic physical diseases including diabetes, chronic obstructive pulmonary disease/asthma, and coronary artery disease, using the Patient Health Questionnaire-9 (PHQ-9). METHODS: Two hundred and thirty-one elderly patients with chronic physical diseases were recruited consecutively from a university-affiliated general hospital in South Korea. RESULTS: Greater severities of all 9 depressive symptoms in the PHQ-9 were presented in those with depressive disorder rather than those without depressive disorder. A binary logistic regression modeling presented that little interest [adjusted odds ratio (aOR)=4.648, p<0.001], reduced/increased sleep (aOR=3.269, p<0.001), psychomotor retardation/agitation (aOR=2.243, p=0.004), and concentration problem (aOR=16.116, p<0.001) were independently associated with increased likelihood of having depressive disorder. Receiver operating characteristics (ROC) curve analysis presented that the optimal cut-off value of score on the items for little interest, reduced/increased sleep, psychomotor retardation/agitation and concentration problem (PHQ-9) for detecting depressive disorder was 4 with 61.9% of sensitivity and 91.5% of specificity [area under curve (AUC)=0.937, p<0.001]. CONCLUSION: Our findings suggested that the diagnostic weighting of little interest, reduced/increased sleep, psychomotor retardation/agitation, and concentration problem is needed to detect depressive disorder among the elderly patients with chronic physical diseases.
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Texto completo:
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Base de dados:
WPRIM
Assunto principal:
Doença da Artéria Coronariana
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Modelos Logísticos
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Razão de Chances
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Programas de Rastreamento
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Curva ROC
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Sensibilidade e Especificidade
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Depressão
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Transtorno Depressivo
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Hospitais Gerais
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Coreia (Geográfico)
Tipo de estudo:
Diagnostic_studies
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Etiology_studies
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Prognostic_studies
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Risk_factors_studies
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Screening_studies
Limite:
Aged
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Humans
País/Região como assunto:
Asia
Idioma:
En
Revista:
Psychiatry Investigation
Ano de publicação:
2017
Tipo de documento:
Article