Logistic regression analysis of factors affecting survival of permanent second molars in Korean adults.
10.11149/jkaoh.2013.37.4.232
- Author:
Gwang Seok KIM
1
;
Hae Jin LEE
;
Young Sam KIM
;
Jae Gyu JEON
;
Kee Wan CHANG
Author Information
1. Department of Preventive and Community Dentistry, Institute of Oral-Bio Science, Chonbuk National University School of Dentistry, Jeonju, Korea. prevdent@chonbuk.ac.kr
- Publication Type:Original Article
- Keywords:
Korean;
Logistic regression analysis;
Second molar;
Survival rate of tooth
- MeSH:
Adult*;
Breeding;
Humans;
Logistic Models*;
Molar*;
Smoke;
Smoking;
Snacks;
Social Class;
Survival Rate;
Tooth;
Toothbrushing
- From:Journal of Korean Academy of Oral Health
2013;37(4):232-240
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
OBJECTIVES: The purpose of this study was to analyze the factors affecting the survival of permanent second molars in Korean adults using logistic regression analysis. METHODS: This National survey was conducted in 2006 and was performed in 3 stages comprising stratified sampling, age, sex, and region. This study included 15,777 persons, aged 2-95 years. The raw data was analyzed using SPSS software v12.0 and the relationship between the 9 variables and the tooth survival rate was analyzed by frequency and cross-tabulation. Logistic regression analysis using the functional weightage of the age, sex, regions of the Korean population was also performed. Entry was at level of 5%, while removal was at a 10% level during logistic regression analysis. The nine variables used for analysis were age, socio-economic level, monthly family income, sex, frequency of toothbrushing per day, diabetes, educational level, smoking, and frequency of snack intake per day. RESULTS & CONCLUSIONS: The most significant explanatory variables, in increasing order of significance, were age, socioeconomic status, and diabetes. As age increased by 10 years, the survival rate of second molars decreased at a slow rate 7.5% to 9.5%. The survival rate of the second molar of an individual engaged in activities, such as farming, stock breeding, and fishing decreased from 64.4% to 78.8% as compared to people at high positions in various companies and in society.
