Research in Community and Public Health Nursing

Original Articles

[English] Prediction model of health checkup and cancer screening experience of elderly population using 2021 Community Health Survey: Myeunghee Han; Res Community Public Health Nurs. 2024;35(2):140-155. Published online June 28, 2024; DOI: https://doi.org/10.12799/rcphn.2024.00500

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Abstract PDF: Purpose
This study was conducted to build a decision tree model composed of factors that predict whether or not the elderly population underwent health or cancer screening using the 2021 community health survey.
Methods
This study included 74,434 and 74,417 subjects who answered for experience of health checkup or cancer screening, respectively. This study used Chi-squared test, independent t-tests, and decision tree analysis to analyze the data.
Results
Regarding the health checkup, 78.1% of women received a health checkup, and among women, those aged 65-74 years who were not recipients of the basic livelihood service showed the highest participation rate of 85.0%. In case of men, those who were married and had no problems in daily activity showed the highest participation rate of 81.4%. In the case of cancer screening, for women, those who were 65-74 years old and were nonrecipients of basic livelihood benefits showed the highest participation rate of 75.3%. For men, the cancer screening rate was the highest at 74.3% in those who had no problems with mobility and were married.
Conclusion
It was found that the general and health characteristics of the elderly had a great influence on the health checkup and cancer screening. In order to develop a more improved screening system, screening rates and effects should be continuously observed and studied.

[English] The Prediction Model of Body Image Distortion in Korean Adolescent in the Era of COVID-19 Using Decision Tree Analysis: Myeunghee Han; Res Community Public Health Nurs. 2023;34(2):96-107. Published online June 30, 2023; DOI: https://doi.org/10.12799/rcphn.2023.00052

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Abstract PDF: Purpose
Body image distortion (BID) in adolescents is a crucial problem that causes both abnormal eating habits and unhealthy weight control behaviors. COVID-19 has had a negative impact on adolescents’ psychological and behavioral status, and this might influence the onset of BID in adolescents. This study aimed to develop a prediction model for BID in Korean adolescents using decision tree analysis.
Methods
The decision tree analysis was used to develop a prediction model for BID in Korean adolescents using the data of 2021 Korea Youth Risk Behavior Survey Web-based (KYRBS).
Results
In the present study, about one-third of the study subjects (31%, n=6,316) showed BID. The BID rate was higher in females (37.2%, node1) than in males (21.2%, node2). Female students with severe GAD-7 level and smartphone use on the weekend over 12h showed the highest rate of BID (66.9%). As to males, the BID rate was the highest (33.1%) among middle school male students who did strength training once a week or none.
Conclusion
In order to reduce BID, there is a need to develop a customized BID education and management programs.

[English] 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; DOI: https://doi.org/10.12799/jkachn.2019.30.2.130

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Abstract PDF

PURPOSE
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.
METHODS
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.
RESULTS
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%.
CONCLUSION
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.

Citations

Citations to this article as recorded by

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Journal of Korean Academy of Oral Health.2016; 40(3): 190. CrossRef

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