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원저

데이터 마이닝 기법을 이용한 치주건강 관련요인 분석연구

원문정보

Analysis of periodontal health related factors by using data mining method

박희정, 이준협, 김태일

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초록

영어

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 wererecruited from Seoul and Gyeonggi provinces. They participated in a self-administeredsurvey of which the results were analyzed through the decision tree analysis using thedata mining program. Results: 67% of the participants reported ‘bad breath,' whereas 13.9% of participantsreported ‘toothache’. The decision analysis revealed that age was the most determiningfactor of adult periodontal health. Participants in 20s with a profound understanding oftheir 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 illnessthan those in 20s, whether or not they had suffered from chronic diseases. Conclusions: In order to effectively prevent periodontal diseases, an age-appropriateclinical approach will be necessary. For the younger age group it will be crucial to enhancethe 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.

목차

ABSTRACT
 Ⅰ. 서론
 Ⅱ. 연구 방법
  1. 연구대상
  2. 연구도구
  3. 분석방법
 Ⅲ. 연구결과
  1. 연구대상자들의 치주질환 자각 증상
  2. 연구대상자의 치주건강에 따른 인구사회학적특성 및 구강건조증 점수
  3. 치주건강에 따른 건강행위, 건강수준 및 정신건강
  4. 치주건강에 따른 구강건강행위 및 구강보건의식
  5. 치주건강과 관련 요인
 Ⅳ. 논의
 Ⅴ. 결론
 참고문헌

저자정보

  • 박희정 Hee-Jung Park. 고려대학교 대학원 보건과학과
  • 이준협 Jun Hyup Lee. 고려대학교 보건과학대학 보건행정학과
  • 김태일 Tae-Il Kim. 서울대학교 치의학대학원 치주과학교실

참고문헌

자료제공 : 네이버학술정보

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