Journal of Korean Academy of Nursing (대한간호학회지)

Korean Society of Nursing Science (한국간호과학회)
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Factors Influencing Sexual Experiences in Adolescents Using a Random Forest Model: Secondary Data Analysis of the 2019~2021 Korea Youth Risk Behavior Web-based Survey Data

랜덤 포레스트 모델을 활용한 국내 청소년 성경험 영향요인 분석 연구: 2019~2021년 청소년건강행태조사 데이터

  • Yang, Yoonseok (Research Center of Healthcare & Welfare Instrument for the Aged, Division of Biomedical Engineering, College of Engineering, Jeonbuk National University) ;
  • Kwon, Ju Won (Department of Electrical Engineering and Computer Science, Daegu Gyeongbuk Institute of Science and Technology) ;
  • Yang, Youngran (College of Nursing, Research Institute of Nursing Science, Jeonbuk National University)
  • 양윤석 (전북대학교 공과대학 바이오메디컬공학부, 고령친화복지기기연구센터) ;
  • 권주원 (대구경북과학기술원 전기전자컴퓨터공학과) ;
  • 양영란 (전북대학교 간호대학.간호과학연구소)
  • Received : 2023.10.16
  • Accepted : 2024.04.08
  • Published : 2024.05.31
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Abstract

Purpose: The objective of this study was to develop a predictive model for the sexual experiences of adolescents using the random forest method and to identify the "variable importance." Methods: The study utilized data from the 2019 to 2021 Korea Youth Risk Behavior Web-based Survey, which included 86,595 man and 80,504 woman participants. The number of independent variables stood at 44. SPSS was used to conduct Rao-Scott χ2 tests and complex sample t-tests. Modeling was performed using the random forest algorithm in Python. Performance evaluation of each model included assessments of precision, recall, F1-score, receiver operating characteristics curve, and area under the curve calculations derived from the confusion matrix. Results: The prevalence of sexual experiences initially decreased during the COVID-19 pandemic, but later increased. "Variable importance" for predicting sexual experiences, ranked in the top six, included week and weekday sedentary time and internet usage time, followed by ease of cigarette purchase, age at first alcohol consumption, smoking initiation, breakfast consumption, and difficulty purchasing alcohol. Conclusion: Education and support programs for promoting adolescent sexual health, based on the top-ranking important variables, should be integrated with health behavior intervention programs addressing internet usage, smoking, and alcohol consumption. We recommend active utilization of the random forest analysis method to develop high-performance predictive models for effective disease prevention, treatment, and nursing care.

Keywords

Acknowledgement

This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (No. NRF-2020S1A5A2A03047080).

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