Logistic regression analysis of factors affecting the survival of first molars in Korean adults / 대한구강보건학회지
Journal of Korean Academy of Oral Health
;
: 88-94, 2015.
Artículo
en Coreano
| WPRIM
| ID: wpr-75705
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 alpha=0.05 and the exclusion level was alpha=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.CONCLUSIONS:
The most significant predictor of the survival rate of the four permanent molars in Korean adults was age, followed by jobs, smoking, and gender.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Humo
/
Diente
/
Cruzamiento
/
Fumar
/
Modelos Logísticos
/
Salud Bucal
/
Tasa de Supervivencia
/
Educación
/
Empleo
/
Bocadillos
Tipo de estudio:
Estudio pronóstico
/
Factores de riesgo
Límite:
Adulto
/
Humanos
Idioma:
Coreano
Revista:
Journal of Korean Academy of Oral Health
Año:
2015
Tipo del documento:
Artículo
Similares
MEDLINE
...
LILACS
LIS