Screening for Depressive Disorder in Elderly Patients with Chronic Physical Diseases Using the Patient Health Questionnaire-9
Psychiatry Investigation
;
: 306-313, 2017.
Artigo
em Inglês
| WPRIM
| ID: wpr-164261
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.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Doença da Artéria Coronariana
/
Modelos Logísticos
/
Razão de Chances
/
Programas de Rastreamento
/
Curva ROC
/
Sensibilidade e Especificidade
/
Depressão
/
Transtorno Depressivo
/
Hospitais Gerais
/
Coreia (Geográfico)
Tipo de estudo:
Estudo diagnóstico
/
Estudo de etiologia
/
Estudo prognóstico
/
Fatores de risco
/
Estudo de rastreamento
Limite:
Idoso
/
Humanos
País/Região como assunto:
Ásia
Idioma:
Inglês
Revista:
Psychiatry Investigation
Ano de publicação:
2017
Tipo de documento:
Artigo
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