Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Predictors for depressive symptoms by four types of disabilityopen access

Authors
Jung, Sun WookYoon, Jin-HaLee, Wanhyung
Issue Date
Sep-2021
Publisher
NATURE PORTFOLIO
Citation
SCIENTIFIC REPORTS, v.11, no.1
Journal Title
SCIENTIFIC REPORTS
Volume
11
Number
1
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/71450
DOI
10.1038/s41598-021-98765-4
ISSN
2045-2322
Abstract
This study aimed to examine the longitudinal relationship between disability and depressive symptoms, by comparing four types of disability in community-dwelling individuals with disabilities in South Korea. A total of 3347 South Koreans with disabilities from the second wave of the Panel Survey of Employment for the Disabled was utilized. Depressive symptomatology was assessed by whether the participant had experienced depressive symptoms for more than two weeks during the past year. A multivariate logistic regression model was used to calculate the odds ratio (OR) for depressive symptoms, and a Cox proportional hazards model to calculate the hazard ratio (HR) for two-year survival analysis. Persons who acquired mental disability from accident or industrial disaster and persons with congenital physical-internal disability were at higher risk for depressive symptoms. Maintaining employment was found to be an effective way to decrease the risk of depressive symptoms in persons with physical-external disability, sensory/speech disability, or mental disability. In contrast, in physical-internal disability, retaining normal ability to work seemed to be the key to reduce the risk of depressive symptoms. Predictors of depressive symptoms were found to differ depending on the type of disability. Such differences should be reflected in clinical and policy-level interventions to address the specific psychiatric needs of persons with different disabilities.
Files in This Item
Appears in
Collections
College of Medicine > College of Medicine > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Lee, Wanhyung photo

Lee, Wanhyung
의과대학 (의학부(기초))
Read more

Altmetrics

Total Views & Downloads

BROWSE