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노인 암 경험자의 우울 변화 궤적과 예측요인: 고령화연구패널조사(KLoSA)를 이용하여

Other Titles
 Trajectories and Prediction Factors of Depression in Elderly Cancer Survivors: Using the Korean Longitudinal Study of Ageing 
Authors
 현재원  ;  김예솔  ;  최모나 
Citation
 ASIAN ONCOLOGY NURSING, Vol.21(3) : 155-162, 2021-09 
Journal Title
ASIAN ONCOLOGY NURSING
ISSN
 2287-2434 
Issue Date
2021-09
Keywords
Aged ; Cancer Survivors ; Depression ; Longitudinal Studies ; Social Support
Abstract
Purpose
The purpose of this study was to identify the trajectories of depressive symptoms and the predictive factors that determine the trajectories among elderly cancer survivors in South Korea.

Methods
This study was a secondary data analysis using the Korean Longitudinal Study of Ageing (KLoSA). The inclusion criteria were adults who were aged 65 years or older, diagnosed with cancer, and participated in the panel survey at least three times. Data were analyzed using SPSS 25.0 and STATA 16.0 for Group-Based Trajectory Model.

Results
This study comprised 197 participants. Depression trajectories were derived into the three groups of ‘nondepression,’ ‘mild depression,’ and ‘depression.’ As a result of multinomial logit analysis using ‘mild depression’ as a reference group, the significant predictors that differentiated the ‘non-depression’ and ‘mild depression’ groups was whether the subject was living alone or not (p=.001).

Conclusion
To prevent and manage depression among the elderly cancer survivors living alone, it is necessary to first identify the social support resources from a cancer diagnosis. In addition, a social foundation should be established to enable elderly cancer survivors to utilize the supporting resources. Further studies should be conducted considering disease-specific variables such as types of cancers, stages of cancer, and treatment methods.
Files in This Item:
T202124950.pdf Download
DOI
10.5388/aon.2021.21.3.155
Appears in Collections:
3. College of Nursing (간호대학) > Dept. of Nursing (간호학과) > 1. Journal Papers
Yonsei Authors
Kim, Yesol(김예솔)
Choi, Mona(최모나) ORCID logo https://orcid.org/0000-0003-4694-0359
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/187608
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