Journal of Korean Academy of Oral Health

The Korean Academy of Preventive Dentistry and Oral Health (대한예방치과·구강보건학회)
권호 표지

Geographical disparities for oral health status in Korean adults

우리나라 대도시, 중소도시, 군 지역 간 성인 구강건강 수준의 차이

Choi, Youn-Hee;Lee, Jung-Hee;Lee, Sang-Gyu
최연희;이정희;이상규

  • Published : 20090600
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Abstract

Objectives: To examine the difference in oral health status of Korean adults according to geographic location. Methods: Using raw data of National Oral Health Survey 2000, the 112 administrative districts were categorized into metropolis(gu: ward of large city), urban(si: city except metropolis), and rural(gun: county) areas. The averages of decayed surfaces/teeth (DS/DT), missing surfaces/teeth (MS/MT), filled surfaces/teeth (FS/FT), DMFS/T, and Community Periodontal Index (CPI), and the proportion of prosthetic treatment need were calculated in each administrative district. Mean age, the number of population in 2000, the proportion of elderly people, the number of privately owned cars, per capita production from manufacturing industry, and the number of medical facilities per 1,000 were obtained as contextual factors. Regression analysis was done to test the regional difference of oral health status including geographic location, mean age, per capita production from manufacturing industries, and the numbert of medical facilities per 1000. Results: The crude averages of oral health indices (DMFS/T, CPI) reflecting the experience of dental caries and periodontal health was significantly higher in urban and rural area than those in metropolis region. The proportion of prosthetic treatment need in urban and rural area was also higher than that in metropolis. In the final regression model adjusted after socio-environmental factors, DS, DT, CPI, and the proportion of prosthetic treatment need in rural region were higher than in metropolis (p<0.05). FS and FT of rural area were lower than those of metropolis. Conclusions: Regional difference in oral health status existed in Korea. This regional difference may be attributable to dissimilar age distribution of each district but socio-environmental factors are still prone to affect this disparity.

Keywords

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