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Abstract
Objectives
This study aimed to analyze the variables affecting the survival of the four permanent central incisors in an adult Korean population using logistic regression analysis.
Methods
The Korean government has been collecting oral health data at the national level at 3-yearly intervals since 2000. In addition, a national survey was conducted in 2006 of 15,777 persons aged 2 to 95 years old who were stratified by age, gender, and region. The raw data were input and the relationship between each of eight objective variables and tooth survival was analyzed by frequency, cross-tabulation, and logistic regression analysis, with age, gender, and economic status as functional variables. The inclusion level was α=0.05 and the exclusion level was α=0.10. The eight variables were age, economic status (jobs), monthly family income, gender, frequency of toothbrushing per day, presence of diabetes, education level, and smoking years.
Results
The survival rate of the incisors decreased with an increase in age, while that in individuals who engaged in farming, stock breeding, and fishing was 5 to 7 times lower than that in individuals in top positions in terms of jobs and society. Further, the survival rate in individuals with diabetes was 2 to 3 times higher than in those without diabetes.
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Fig. 1.
Survival rate of 4 incisors. #11: maxillary right central incisor, #21: maxillary left central incisor, #31: mandibular left central incisor, #41: mandibular right central incisor. Survival rate= Number of present teeth /number of teeth examined×100 (%).
Table 1.
Sample distribution reflected weight of 2006 Korean nationa oral survey
Table 2.
Logistic regression model estimation to survival in maxillary right central incisor (#11)
※ Variable entered in 1st stage: age, 2nd stage: diabetes, 3rd stage gender, 4th stage: economic activity, 5th stage: toothbrushing frequen cy, 6th stage: education level. Age level: 10 years per unit. Economi activity: 1 agriculture, animal husbandry and fishing industry; 2 high rank executives and staff or manager.
Table 3.
Logistic regression model estimation to survival in maxillary left central incisor (#21)
Table 4.
Logistic regression model estimation to survival in mandibular left central incisor (#31)
※ Variable entered in 1st stage: age, 2nd stage: family income, 3rd stage: diabetes 4th stage: economic activity, 5th stage: toothbrushing frequency, 6th stage: gender, 7th stage: education level, 8th: smoking years. Age level: 10 years per unit. Economic activity: 1 agriculture, animal husbandry and fishing industry; 2 high rank executives and staff or manager.
Table 5.
Logistic regression model estimation to survival in mandibular right central incisor (#41)
※ Variable entered in 1st stage: age, 2nd stage: economic activity, 3rd stage: diabetes 4th stage: toothbrushing frequency, 5th stage: smoking years, 6th stage: gender, 7th stage: education level. Age level: 10 years per unit. Economic activity: 1 agriculture, animal husbandry and fishing industry; 2 high rank executives and staff or manager.
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