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Original Articles
A Path Analysis for Health-related Quality of Life in Long-term Care Insurance In-home Service Users
Je Hyun Kim, Seung Mi Park
Res Community Public Health Nurs. 2023;34(1):1-11.   Published online March 31, 2023
DOI: https://doi.org/10.12799/rcphn.2022.00283
  • 1,627 View
  • 112 Download
  • 1 Citations
AbstractAbstract PDF
Purpose
The purpose of this study is to construct and verify a path model for the factors affecting on quality of life in long-term care insurance in-home service users.
Methods
Total 246 participants using long-term care insurance in-home service were recruited from long-term care agencies. Data collection was conducted using a structured questionnaire from March 1st to March 31st 2021. The collected data were analyzed using SPSS 26 and AMOS 26 programs.
Results
The hypothetical path model was suitable for explaining the health-related quality of life in long-term care insurance in-home service users and has an explanatory power of 39.8%. Long-term care grade, depression, perceived health status, social support, age and living arrangement had a significant total effect on the quality of life in long-term care insurance in-home service users.
Conclusion
Long-term care insurance in-home service policies need to be expanded, such as screening and relieving depression, strengthening social support, and fostering a positive perception of health to improve the quality of life of the elderly.

Citations

Citations to this article as recorded by  
  • Prediction model of health-related quality of life in older adults according to gender using a decision tree model: a study based on the Korea National Health and Nutrition Examination Survey
    Hee Sun Kim, Seok Hee Jeong
    Journal of Korean Biological Nursing Science.2024; 26(1): 26.     CrossRef
Mediating Effects of Emotional Venting via Instant Messaging (IM) and Positive Emotion in the Relationship between Negative Emotion and Depression
Han Na Lee, Soon Tae An
J Korean Acad Community Health Nurs. 2019;30(4):571-580.   Published online December 31, 2019
DOI: https://doi.org/10.12799/jkachn.2019.30.4.571
  • 1,683 View
  • 7 Download
  • 3 Citations
AbstractAbstract PDF
PURPOSE
The purpose of this study is to examine the mediating effects of emotional venting via instant messaging (IM) and positive emotion in the relationship between negative emotion and depression.
METHODS
Online survey was conducted in Korea between 2 April and 7 April 2019. To obtain samples with representativeness, data were gathered by the professional research firm. A total of 250 Koreans were participated in this study. The collected data were analyzed using descriptive statistics, Pearson's correlation coefficients, and SPSS PROCESS macro to test the mediating effects.
RESULTS
This study analyzed the direct/indirect effects of negative emotion on emotional venting via IM, in the relationship between positive emotion and depression. Negative emotion had indirect effects on depression through emotional venting via IM and positive emotion. Both emotional venting via IM and positive emotion had dual mediating effects in the influence of negative emotion on depression.
CONCLUSION
These results suggest that it is important to manage negative emotion to prevent depression. Also, this study confirmed that emotional venting via IM is a powerful factor influencing emotional recovery.

Citations

Citations to this article as recorded by  
  • An Exploratory Study on How and Why Young and Middle-aged Adults Disclose Depressive Feelings to Others: Focusing on the Influence of Perception of Social Norms
    Soontae An, Hannah Lee
    Journal of Korean Academy of Community Health Nursing.2021; 32(1): 12.     CrossRef
  • A Longitudinal Change Patterns of Depression and Its Relationship with Socioeconomic Deprivation among Middle-Aged Adults in South Korea
    Soo-Bi Lee, Min-Ji Yu, Myeong-Sook Yoon
    International Journal of Environmental Research and Public Health.2021; 18(24): 12957.     CrossRef
  • Perceived Benefits of and Barriers to Disclosure of Depressive Feelings: An Exploratory Study Using Semantic Network Analysis
    Hannah Lee, Soontae An
    Korean Journal of Adult Nursing.2020; 32(6): 571.     CrossRef

RCPHN : Research in Community and Public Health Nursing