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[English]
Prediction model of health checkup and cancer screening experience of elderly population using 2021 Community Health Survey
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Myeunghee Han
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Res Community Public Health Nurs. 2024;35(2):140-155. Published online June 28, 2024
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DOI: https://doi.org/10.12799/rcphn.2024.00500
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Abstract
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- 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.
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[English]
The Prediction Model of Body Image Distortion in Korean Adolescent in the Era of COVID-19 Using Decision Tree Analysis
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Myeunghee Han
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Res Community Public Health Nurs. 2023;34(2):96-107. Published online June 30, 2023
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DOI: https://doi.org/10.12799/rcphn.2023.00052
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Abstract
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- 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.
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