Analysis of periodontal health related factors by using data mining method

데이터 마이닝 기법을 이용한 치주건강 관련요인 분석연구

  • Park, Hee-Jung (Graduate School of Healthcare Management, Korea University) ;
  • Lee, Jun Hyup (Department of Health Care Management, Korea University) ;
  • Kim, Tae-Il (Department of Periodontology, Seoul National University School of Dentistry)
  • 박희정 (고려대학교 대학원 보건과학과) ;
  • 이준협 (고려대학교 보건과학대학 보건행정학과) ;
  • 김태일 (서울대학교 치의학대학원 치주과학교실)
  • Received : 2013.08.20
  • Accepted : 2013.12.16
  • Published : 2013.12.31

Abstract

Objectives: The purpose of this study was to evaluate self-reported symptoms of periodontal diseases. We performed a comprehensive analysis of periodontal health related factors. Methods: 581 volunteers representing a broad range of age from 20 to 65 were recruited from Seoul and Gyeonggi provinces. They participated in a self-administered survey of which the results were analyzed through the decision tree analysis using the data mining program. Results: 67% of the participants reported 'bad breath,' whereas 13.9% of participants reported 'toothache'. The decision analysis revealed that age was the most determining factor of adult periodontal health. Participants in 20s with a profound understanding of their periodontal health status exhibited a low vulnerability to periodontal diseases, whereas those lacking the awareness were more susceptible to the diseases. However, other participants in 30s and older showed a higher vulnerability to periodontal illness than those in 20s, whether or not they had suffered from chronic diseases. Conclusions: In order to effectively prevent periodontal diseases, an age-appropriate clinical approach will be necessary. For the younger age group it will be crucial to enhance the self-awareness of their current oral health status. On the other hand, those in 30s and older will need to pay a close attention to the prevention of chronic periodontal disease.

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