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KMID : 0367020210330060639
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Journal of Korean Academic of Adult Nursing
2021 Volume.33 No. 6 p.639 ~ p.648
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A Prediction Model for Quality of Life by Resilience in Disaster Female Victims
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Seo Ji-Yeong
Kim Min-Ju
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Abstract
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Purpose: To identify factors associated with Quality of Life (QOL) in disaster female victims.
Methods: A descriptive cross-sectional design used secondary data from the 2018 long-term survey on the change of life of disaster victims conducted by the National Disaster Management Research Institute (NDMI). The participants were 1,267 female victims over the age of 20 who completed a survey including QOL, resilience, perceived health status, depression, anxiety, Post-Traumatic Stress (PTS), social adaptation, and social support. Descriptive statistics, chi-square-test, independent t-test, and a decision tree were used for data analysis.
Results: The decision tree identified 8 final nodes predicting QOL of disaster female victims. Resilience was associated with quality of life (△p<.001, F=115.14). The mean QOL was 2.81 with predicted rate of 55.7% in the Low Resilience Group (LRG) and 3.24 with predicted rate of 44.3% in the High Resilience Group (HRG). The highest QOL group in LRG was Node 9 with perceived health status of more than 3 and low depression (mean=3.17), while the lowest QOL group was Node 3 with perceived health status of less than 2 (mean=2.54). The highest QOL group in HRG was Node 8 with social support of more than 3.92 (mean=3.57), while the lowest group was Node 12 with high anxiety (mean=2.81).
Conclusion: Factors predicting the QOL of disaster victims differed between HRG and LRG. In order to improve QOL of disaster victims, customized interventions according to the level of resilience are needed.
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KEYWORD
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Disaster victims, Quality of life, Resilience
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