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Depressive Symptoms and Sociodemographic Risk Factors among Chronic Disease Inpatients at University Medical Centers

Depressive Symptoms and Sociodemographic Risk Factors among Chronic Disease Inpatients at University Medical Centers

Article information

Korean J Health Promot. 2019;19(1):32-38
Publication date (electronic) : 2019 March 31
doi : https://doi.org/10.15384/kjhp.2019.19.1.32
1Department of Social Work, Hallym University Kangnam Sacred Heart Hospital, Seoul, Korea.
2Ewha Institute for Age Integration Research, Ewha Womans University, Seoul, Korea.
Corresponding author: So-Young Park, PhD. Ewha Institute for Age Integration Research, Ewha Womans University, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul 03760, Korea. Tel: +82-2-3277-2235, Fax: +82-2-3277-2783, syp279@gmail.com
Received 2018 October 16; Revised 2019 January 17; Accepted 2019 January 28.

Abstract

Background

The purpose of this study was to examine the prevalence of and the sociodemographic risk factors for depressive symptoms among inpatients with chronic diseases who completed the Patient Health Questionnaire-9 (PHQ-9) conducted by a social work department at university medical centers.

Methods

In 2015, PHQ-9 data were collected from six medical centers affiliated with Hallym University Medical Center. The sample comprised 517 inpatients aged 18 years or over with chronic diseases. Descriptive statistics, chi-square test, simple logistic regression, and multiple logistic regression were used for data analyses.

Results

The prevalence of depressive symptoms among inpatients with chronic diseases was 31.7 percent. The results of the simple and multiple logistic regressions showed that the single/widowed/divorced/separated group was at higher risk for depressive symptoms than married inpatients. Having a religion or being unemployed also increased the risk of depressive symptoms among the respondents.

Conclusions

Findings of this study emphasize the importance of systematic depressive symptom management for inpatients with chronic diseases.

Notes

This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2018S1A5B5A02032658).

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Article information Continued

Funded by : National Research Foundation of Koreahttps://doi.org/10.13039/501100003725
Award ID : NRF-2018S1A5B5A02032658

Table 1

Prevalence of depressive symptoms

Table 1

Abbreviation: PHQ-9, Patient Health Questionnaire-9.

Values are presented as number (%).

Table 2

Proportions (%) of the PHQ-9 categories by sociodemographic characteristics among Korean adult inpatients

Table 2

Abbreviation: PHQ-9, Patient Health Questionnaire-9.

Values are presented as number (%).

aP<0.01.

bP<0.05.

cP<0.001.

Table 3

Simple and multiple logistic regression model for depressive symptoms among Korean adult inpatients

Table 3

Abbreviations: CI, confidence interval; OR, odds ratio.

aDisease was excluded from the multiple logistic regression analysis because the sample size of the variable was too small when broken down by this sub-category.