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

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Author(s)
Seon-Cheol ParkHwa-Young LeeDong-Woo LeeSang-Woo HahnSang-Ho ParkYeo Ju KimJae Sung ChoiHo-Sung LeeSoyoung Irene LeeKyoung-Sae NaSung Won JungSe-Hoon ShimKi Won KimJong-Woo PaikYoung-Joon Kwon
Keimyung Author(s)
Jung, Sung Won
Department
Dept. of Psychiatry (정신건강의학)
Journal Title
Psychiatry Investigation
Issued Date
2017
Volume
14
Issue
3
Keyword
Depressive disorderElderlyChronic physical diseasesPatient health questionnaire-9
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.
Keimyung Author(s)(Kor)
정성원
Publisher
School of Medicine
Citation
Seon-Cheol Park et al. (2017). Screening for Depressive Disorder in Elderly Patients with Chronic Physical Diseases Using the Patient Health Questionnaire-9. Psychiatry Investigation, 14(3), 306–313. doi: 10.4306/pi.2017.14.3.306
Type
Article
ISSN
1738-3684
DOI
10.4306/pi.2017.14.3.306
URI
https://kumel.medlib.dsmc.or.kr/handle/2015.oak/32556
Appears in Collections:
1. School of Medicine (의과대학) > Dept. of Psychiatry (정신건강의학)
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