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The number of existing permanent teeth and the denture status of elderly adults aged 65 years and above living in metropolitan cities using data from the Korean National Health and Nutrition Examination Survey

김지수 1 SEYEON KIM 2 Eun-Joo Jun 3 Seung-Hwa Jeong 4 Jin-Bom Kim ORD ID 5

1부산대학교 치의학전문대학원 예방과사회치의학교실, BK21플러스 사업단,치주질환신호 네트워크 연구센터
2부산대학교 치의학전문대학원 예방과사회치의학교실, 치주질환신호 네트워크 연구센터
3부산대학교 치의학전문대학원 예방과사회치의학교실
4부산대학교 치의학전문대학교 예방과사회치의학교실,BK21플러스 사업단
5부산대학교 치의학전문대학교 예방과사회치의학교실,BK21플러스 사업단, 치주질환신호 네트워크 연구센터

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ABSTRACT

Objectives: The aim of this study was to investigate the number of existing permanent teeth and the denture usage status in elderly adults aged 65 years and above living in metropolitan cities and to confirm the degree of oral health inequality caused by the differences in oral conditions in each metropolitan city using the Lorenz curve and the Gini coefficient. Methods: The raw data for the analysis were obtained from the dataset of the sixth Korea National Health and Nutrition Examination Survey conducted between 2013 and 2015. The subjects included 1,764 people who underwent oral examination and answered questions. The complex samples general linear model was used to analyze the number of existing permanent teeth adjusted for age and monthly household income. The proportion of edentulousness and the denture status was analyzed using complex samples crosstabs. Results: The number of existing permanent teeth in the elderly adults aged 65 years and above was lowest in Ulsan (15.41) and highest in Gwangju (20.44). The proportion of edentulousness was highest in Busan (14.5%) and lowest in Daejeon (4.0%). With regard to the proportion of denture users, Busan had the highest tendency fordenture usage (50.4%) and Gwangju had the lowest tendency (34.9) (p=0.172). The Gini’s coefficientfor the number of existing teeth was lowest in Busan (0.332). Oral health inequality was most severein metropolitan cities. Conclusions: We found that oral health inequality exists among elderly adultsliving in the metropolitan cities of Korea using the Lorenz curve and Gini’s coefficient.

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