Depression Among Community-Dwelling Older Adults in Korea: A Prediction Model of Depression

Kyung Rim Shin; Dukyoo Jung; Inho Jo; Younhee Kang

doi:10.1016/j.apnu.2008.03.001

Depression Among Community-Dwelling Older Adults in Korea: A Prediction Model of Depression

Kyung Rim Shin
, Dukyoo Jung
, Inho Jo
, Younhee Kang

Research output: Contribution to journal › Article › peer-review

18 Scopus citations

Abstract

The purpose of this study was to test a hypothesized model for use in explaining the factors that influence depression among older adults dwelling in Ansan City in Korea. A cross-sectional community-based survey was done using face-to-face private interviews. A hypothesized model was tested using path analysis. Of the 32 hypothesized paths in the structural model, 13 were significant. Gender (β = -.14, P = .24), income (β = -.21, P < .00), education (β = -.14, P = .10), activities of daily living (ADL; β = -.29, P < .00), and somatic symptoms (β = .29, P < .00) accounted for the incidence of depression (β = .06, P < .00), representing 28% of the variance in depression. The fit of the model to the data was supported.

Original language	English
Pages (from-to)	50-57
Number of pages	8
Journal	Archives of Psychiatric Nursing
Volume	23
Issue number	1
DOIs	https://doi.org/10.1016/j.apnu.2008.03.001
State	Published - Feb 2009

Bibliographical note

Funding Information:
This study was supported by the Second Stage of Brain Korea Project.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1016/j.apnu.2008.03.001

Cite this

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abstract = "The purpose of this study was to test a hypothesized model for use in explaining the factors that influence depression among older adults dwelling in Ansan City in Korea. A cross-sectional community-based survey was done using face-to-face private interviews. A hypothesized model was tested using path analysis. Of the 32 hypothesized paths in the structural model, 13 were significant. Gender (β = -.14, P = .24), income (β = -.21, P < .00), education (β = -.14, P = .10), activities of daily living (ADL; β = -.29, P < .00), and somatic symptoms (β = .29, P < .00) accounted for the incidence of depression (β = .06, P < .00), representing 28\% of the variance in depression. The fit of the model to the data was supported.",

author = "Shin, \{Kyung Rim\} and Dukyoo Jung and Inho Jo and Younhee Kang",

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T2 - A Prediction Model of Depression

AU - Shin, Kyung Rim

AU - Jung, Dukyoo

AU - Jo, Inho

AU - Kang, Younhee

N1 - Funding Information: This study was supported by the Second Stage of Brain Korea Project.

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ER -

Depression Among Community-Dwelling Older Adults in Korea: A Prediction Model of Depression

Abstract

Bibliographical note

UN SDGs

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