Table 4 shows that the variable tooth position according to the Pell and Gregory classification at T0 had orthodontic treatment which were associated with the occurrence of dental crowding at T1.
The time involved in treating such complex cases of variable tooth anatomy is mainly dependent on the clinical skill, expertise, and proficiency of the endodontist and the armamentarium available to achieve optimum clinical outcome.
(Table 5) * P < 0.10, ** P < 0.05 PCQ blood concentration as an objective variable, tooth pigmentation, arthralgia, γ-GTP, total bilirubin, cheesy secretion from meibomian glands, general fatigue, total cholesterol, toe nail pigmentation, female gender, and oral mucosa pigmentation all showed less than a 0.05 level of significance.
A variable teeth brushing was obtained by dichotomization of answers to question "How often do you brush your teeth?", while regular teeth brushing implied twice a day or after every meal.
Irrespective of examination year and categorizations of the variable "teeth" according to the models I-IV, we found that social group, marital status and age group were significant predictors of oral health status according to number of teeth.
The binary logistic regression model was used to calculate the association of the independent variables with dependent variables (tooth brushing more than once a day, intake of sugary snacks less than once a day, regular use of fluoride toothpaste, and use of dental floss every day or more).
Based on reports over a 48 month period, analyses were carried out relating current and former ST use to five pain variables (tooth pain, painful gums, temperature sensitivity, activity reduction, and trouble sleeping because of oral pain), with adjustment for race, sex, age, oral hygiene, dental care, and education.
When a dichotomised variable (0 19 teeth versus ≥20 teeth) was used, the associations remained statistically significant for all three obesity measures, also when accounting for possible confounders.
Excluding third molars, we formed the number of missing teeth variable to measure tooth loss in this study.
Intra-class correlation coefficient (ICC) was used to measure the agreement between the measurements for the continuous dependent variable (dental tooth volume) taken on the three separate days.
The dependent variable was tooth injury (fractures, concussion, luxation and avulsion).
