Objective To investigate the prevalence of depression in patients with chronic obstructive pulmonary disease ( COPD) and risk factors.
Methods 215 patients with stable COPD were recruited in the study. The Patient Health Questionnaire-9 ( PHQ-9) standardized scale were performed for the depression survey. Meanwhile CAT, pulmonary function test and the history taking ( sex, age, height, weigh, smoking status, education level) were applied to evaluate all the COPD patients. The COPD patients were classified into A, B, C, and D groups according to 2011 GOLD new COPD classification system. Pearson chi-square test and multivariate logistic modeling were used to estimate the prevalence of depression and the risk factors.
Results The prevalence of depression in COPD patients whose PHQ-9 scores ≥7 was 37.7% with 18.5% , 35.8% , 46.5% , and 62.5% respectively in A, B, C, and D groups. There was significant difference in prevalence between each groups ( P lt;0.05) . Compared with the COPD patients without depression, the COPD patients with depression had younger age, more female, higher education level, higher CAT scores and smaller means of body mass index ( BMI) . Logistic analysis revealed that depression in COPD was associated with age, sex, education level, BMI, FEV1% pred and CAT scores. The patients who with younger age, female sex, higher education level, lower FEV1% pred, lower BMI and higher CAT scores were had higher rsik to be complicated with depression. However no significant difference was observed between different FEV1 /FVC or smoking status.
Conclusions This study confirms the high prevalence of depression in patients with stable COPD, and the prevalence in A, B, C, and D groups of COPD are different. Sex, age, education level, FEV1% pred, BMI, and CAT scores are the risk factors of depression in COPD.
Citation： LI Xiaoping,WAN Yixin,WANG xiaoping,WANGHong,WEI Haidong,TAO Hongyan,HUANG Huirong,ZHAO Yan. Prevalence of Depression in Chronic Obstructive Pulmonary Disease and Risk Factors Analysis. Chinese Journal of Respiratory and Critical Care Medicine, 2013, 12(4): 334-337. doi: 10 . 7507 /1671 -6205 . 20130081 Copy
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