Survey of Depression in the Elderly Patients with Chronic Obstructive Pulmonary Disease

Sung, Seung-Hwan; Lee, Hwa Young; Shim, Se-Hoon; Jeong, Hyemin; Choi, Ji‐Yeob; Lee, Ho-Sung; YeoJoo, KIm; Park, Sang-Ho; Kwon, Young-Jun

doi:10.4306/jknpa.2013.52.3.163

Cited by 1 publication

(2 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, depressive symptom profiles indicating the presence of depressive disorder need to be identified to efficiently detect depressive disorder in elderly patients with chronic physical diseases. 21 …”

Section: Introductionmentioning

confidence: 99%

“…As described elsewhere, 21 in the context of developing a general hospital-based model for early detection of depressive disorder among elderly patients with chronic medical disease, we aimed to 1) present the prevalence of depressive disorders, 2) determine depressive symptom profiles that indicated the presence of depressive disorders, and 3) present optimal cut-off sub-scores for depressive symptom profiles for detecting depressive disorder in elderly subjects with chronic physical diseases including diabetes mellitus (DM), COPD/asthma, and coronary artery disease (CAD).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Screening for Depressive Disorder in Elderly Patients with Chronic Physical Diseases Using the Patient Health Questionnaire-9

Park

Lee

et al. 2017

Psychiatry Investig

Self Cite

View full text Add to dashboard Cite

ObjectiveWe 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).MethodsTwo hundred and thirty-one elderly patients with chronic physical diseases were recruited consecutively from a university-affiliated general hospital in South Korea.ResultsGreater 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].ConclusionOur 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.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%