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Abstract
Objectives
This study aimed to analyze the variables affecting the survival of the four permanent first molars 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-year intervals since 2000. In addition, a national survey was conducted in 2006 among 15,777 persons aged 2-95 years who were stratified by age, gender, and region. The relationship between each of nine 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 nine variables were age, occupational status, monthly family income, gender, frequency of brushing the teeth, snack intake per day, presence of diabetes, education level, and smoking (packs per year).
Results
The survival rate of the molars decreased with increased age. In individuals who engaged in farming, stock breeding, and fishing, the rate was 2-5 times lower than that of individuals in higher positions in terms of jobs and society. Furthermore, the survival rate for smokers was 5-10 percent lower, compared with non-smokers.
References
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Fig. 1.
Survival rate of 4 molars. #16: maxillary right first molar, #26: maxillary left first molar, #36: mandibular left first molar, #46: mandibular right first molar. Survival rate= No. of all the present teeth /No. of examined teeth including any absent teeth×100 (%).
Table 1
Sample distribution of 2006 Korean national oral health surve with weight reflected
| Age | Frequency | Percent |
|---|---|---|
| 20-29 | 2,489 | 20.8 |
| 30-39 | 2,970 | 24.9 |
| 40-49 | 2,493 | 20.9 |
| 50-59 | 1,757 | 14.7 |
| 60-69 | 1,269 | 10.6 |
| 70+ | 973 | 8.1 |
| Total | 11,950 | 100.0 |
Table 2.
Logistic regression model estimation to survival in maxillary right first molar (#16)
Order of variables entered from 1st to 7th stage: age, Jobs, toothbrushing frequency, family income, smoking, pack-year, education level, diabetes. A level: 10 years per unit. Jobs: 1 high rank executives, staff or manager, expert and professionals (ex: doctor, lawyer); 2 agriculture, animal husband and fishing industry.
Table 3.
Logistic regression model estimation to survival in maxillary left first molar (#26)
Table 4.
Logistic regression model estimation to survival in mandibular left first molar (#36)
Table 5.
Logistic regression model estimation to survival in mandibular right first molar (#46)
Order of variables entered from 1st to 6th stage: age, Jobs, gender, smoking, pack-year, toothbrushing frequency, family income. Age level: 10 years per unit. Jobs: 1 high rank executives, staff or manager, expert and professionals (ex: doctor, lawyer); 2 agriculture, animal husbandry and fishing industry.
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