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Se Hoon Hong 2 Articles
Predictors of the Fear of Falling among Elderly Women with Mild Cognitive Impairment
Jeong On Moon, Se Hoon Hong
J Korean Acad Community Health Nurs. 2022;33(1):63-73.   Published online March 31, 2022
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AbstractAbstract PDF
The purpose of this study was to identify the predictors influencing fear of falling in community-dwelling elderly women with mild cognitive impairment (MCI).
A secondary data analysis was performed using data of 65 years or older elderly women with MCI participating in the 7th Korea Longitudinal Study of Ageing of the Korea Employment Information Service. The study subjects included 368 elderly women with MCI. For data analysis, descriptive statistics and logistic regression with complex samples were performed using IBM SPSS ver. 23.0.
89.9% of the elderly women with MCI had fear of falling. There were significant factors such as religion (OR=8.85, 95% CI: 3.39~23.15), restriction of activity (OR=6.84, 95% CI: 2.14~21.90), depression (OR=0.75, 95% CI: 0.62~0.90), and MMSE (OR=1.30, 95% CI: 1.03~1.63), predicting fear of falling in community-dwelling elderly women with MCI.
Differentiated strategies should be developed for elderly women with MCI to decrease fear of falling and prevent falls with understanding of contributing factors. This study will provide fundamental information on programming and a policy proposal related to fear of falling for elderly women with MCI.
Identification of High-risk Groups of Suicide from the Depressed Elderly using Decision Tree Analysis
Se Hoon Hong, Dong Won Lee
J Korean Acad Community Health Nurs. 2019;30(2):130-140.   Published online June 30, 2019
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  • 4 Citations
AbstractAbstract PDF
The aim of this study is to explore levels of suicidal ideation and identify subgroups of high suicidal risk among the depressed elderly in Korea.
A descriptive cross-sectional design was adopted on secondary data from the 6th (1st year) Korean national health and nutrition examination survey (KNHANES). A total of 239 depressed elders aged 60 or over who participated in the KNHANES. The prevalence of suicidal ideation and its related factors, including sociodemographic, physical, psychological characteristics and quality of life (EQ-5D index) were examined. Descriptive statistics and a decision tree analysis were performed using the SPSS/WIN 23.0 and SPSS Modeler 14.2 programs.
Of the depressed elderly, 28.9% had suicidal ideation. Three groups with high suicidal ideation were identified. Predictive factors included perceived stress level, household income level, quality of life and restriction of activity. In the highest risk group were those depressed elderly with moderate and low levels of stress, less than .71 of EQ-5D index and restriction of activity, and 80.0% of these participants had suicidal ideation. The accuracy of the model was 80.8%, its sensitivity 85.9%, and its specificity 68.1%.
Multi-dimensional intervention should be designed to decrease suicide among the depressed elderly, particularly focusing on subgroups with high risk factors. This research is expected to contribute itself to the policy design and solution building in the future as it suggests policy implications in preventing the suicide of the depressed elderly.


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