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Association between Healthcare Utilization and Depression in Korean Women with Cardiovascular Conditions

Overview of attention for article published in Psychiatry Investigation, November 2017
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Title
Association between Healthcare Utilization and Depression in Korean Women with Cardiovascular Conditions
Published in
Psychiatry Investigation, November 2017
DOI 10.4306/pi.2017.14.6.801
Pubmed ID
Authors

Jin Park, Jung Won Jang, Ah Young Kim, Seungyeon Hong, Boram Yuk, Ye Won Min, Kyung A Park, Subin Park

Abstract

This study aimed to examine the associations between depression and both coronary artery disease (CAD) and cardiovascular risk factors (CVRs) in Korean women. Furthermore, this study sought to determine whether depression was associated with use of healthcare services in women with CAD or CVRs. This cross-sectional study was conducted on 26,335 women who were aged 19 years or older, and who participated in the Korean National Health and Nutrition Examination Survey (2007-2014). Associations of prior diagnosis of depression with CAD and CVRs and with nonutilization of healthcare services were investigated. Women with depression had a higher prevalence of CAD and CVRs including obesity, hypertension, dyslipidemia, and metabolic syndrome than those without depression. In addition, depression was significantly associated with nonutilization of healthcare services in women with most CVRs. Considering the high rate of comorbid depression with CAD or CVRs and the low lvels of health service utilization in depressed patients, screening for common CVRs, such as obesity, hypertension, and dyslipidemia, should be provided for patients with depression in mental health care settings.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 14%
Student > Master 3 14%
Lecturer 3 14%
Researcher 2 9%
Unknown 11 50%
Readers by discipline Count As %
Nursing and Health Professions 4 18%
Medicine and Dentistry 3 14%
Computer Science 1 5%
Psychology 1 5%
Neuroscience 1 5%
Other 0 0%
Unknown 12 55%