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Factors associated with community scaling rate: Using community health survey data

지역사회 스케일링경험률에 영향을 미치는 요인: 지역사회건강조사 자료이용

  • Kim, Ji-Min (Department of Dental Hygiene, Wonju College of Medicine, Yonsei University) ;
  • Ha, Ju-Won (Department of Dental Hygiene, Wonju College of Medicine, Yonsei University) ;
  • Kim, Ji-Soo (Department of Dental Hygiene, Wonju College of Medicine, Yonsei University) ;
  • Jung, Yeon-Ho (Department of Dental Hygiene, Wonju College of Medicine, Yonsei University) ;
  • Kim, Dong-Suk (Department of Dental Hygiene, Wonju College of Medicine, Yonsei University) ;
  • Lee, Ga-Yeong (Graduate School of Dental Hygiene, Yonsei University) ;
  • Jang, Young-Eun (Graduate School of Dental Hygiene, Yonsei University) ;
  • Kim, Nam-Hee (Department of Dental Hygiene, Wonju College of Medicine, Yonsei University)
  • 김지민 (연세대학교 원주의과대학 치위생학과) ;
  • 하주원 (연세대학교 원주의과대학 치위생학과) ;
  • 김지수 (연세대학교 원주의과대학 치위생학과) ;
  • 정연호 (연세대학교 원주의과대학 치위생학과) ;
  • 김동석 (연세대학교 원주의과대학 치위생학과) ;
  • 이가영 (연세대학교 일반대학원 치위생학과) ;
  • 장영은 (연세대학교 일반대학원 치위생학과) ;
  • 김남희 (연세대학교 원주의과대학 치위생학과)
  • Received : 2015.09.12
  • Accepted : 2015.12.11
  • Published : 2015.12.30

Abstract

Objectives: The purpose of the study is to investigate the influencing factors of community scaling rate using community health survey data. Methods: The data were extracted from 2013 Community Health Survey, Ministry of education, Korea Dental Association, Statistics Korea, Health Insurance Review and Assessment Service, and Ministry of the Interior. The resource factors of independent variables were analysed by Geographical Information System(GIS) using Map Wizard for Excel 17.0. The data were analyzed by descriptive analysis, pearson correlation and multiple linear regression analysis(p<0.05). Results: Seocho-gu in Seoul had the highest annual scaling rate(55.5%) and Goheung-gun had the lowest rate(11%) showing 44.5 percent gap. The influencing factors of scaling included the number of dental hygienists(r=0.316), dentists(r=0.332), dental hospitals(r=0.470), high school graduation rate(r=0.757) and equivalence scales household income(r=0.764)(p<0.05). Multiple linear regression analysis showed that community scaling rate was closely associated with community education level and monthly income(p<0.05). Conclusions: Community scaling rate was closely related to the community education and income level. It is necessary to provide the equal distribution of the oral health service to the community society.

Keywords

References

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