老年癌症幸存者抑郁的轨迹和预测因素:使用韩国老龄化纵向研究

IF 0.4 Q4 NURSING
J. Hyun, Yesol Kim, Mona Choi
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引用次数: 1

摘要

目的:本研究的目的是确定韩国老年癌症幸存者的抑郁症状轨迹和决定其轨迹的预测因素。方法:本研究采用韩国老龄化纵向研究(KLoSA)进行二次数据分析。纳入标准是年龄在65岁或以上,被诊断患有癌症,并参加小组调查至少三次的成年人。采用SPSS 25.0和STATA 16.0进行分组轨迹模型分析。结果:本研究共纳入197名受试者。抑郁轨迹被分为“非抑郁”、“轻度抑郁”和“抑郁”三组。以“轻度抑郁”为参照组进行多项logit分析后发现,区分“非抑郁”组和“轻度抑郁”组的重要预测因素是受试者是否独居(p= 0.001)。结论:要预防和管理老年独居癌症幸存者的抑郁,首先需要从癌症诊断中识别社会支持资源。此外,应该建立一个社会基金会,使老年癌症幸存者能够利用支持资源。进一步的研究应该考虑到癌症的类型、癌症的阶段和治疗方法等特定疾病的变量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trajectories and Prediction Factors of Depression in Elderly Cancer Survivors: Using the Korean Longitudinal Study of Ageing
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 ‘non-depression,’ ‘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.
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