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- Title
Prediction model of health checkup and cancer screening experience of elderly population using 2021 Community Health Survey.
- Authors
Myeunghee Han
- Abstract
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.
- Subjects
SOUTH Korea; CROSS-sectional method; PREDICTION models; HEALTH status indicators; RESEARCH funding; T-test (Statistics); INCOME; EARLY detection of cancer; EMPIRICAL research; QUESTIONNAIRES; CHI-squared test; AGE distribution; ECONOMIC status; PATH analysis (Statistics); DESCRIPTIVE statistics; FUNCTIONAL status; SURVEYS; HEALTH behavior; RESEARCH methodology; QUALITY of life; PSYCHOLOGICAL stress; HAPPINESS; DECISION trees; MEDICAL screening; DATA analysis software; ACTIVITIES of daily living; EMPLOYMENT; EDUCATIONAL attainment; MENTAL depression; OLD age
- Publication
Research in Community & Public Health Nursing (RCPHN), 2024, Vol 35, Issue 2, p140
- ISSN
2983-0648
- Publication type
Article
- DOI
10.12799/rcphn.2024.00500