Disciminant validityEvaluations sho

Disciminant validity

Evaluations showed that patients with poor health and more oral problems had lower ADD and SC scores. Use of tobacco was not entered into the model due to limited number of smoking patients (n = 18). In addition, due to limited range of D and F for classification of patients and effect of missing teeth on oral health-related quality of life of patients, among DMFT components M was entered into logistic regression models as a confounding factor. Eight models had been designed here; in the first four models 350 subjects were evaluated based on variables of age, gender, denture wearing, xerostomia, duration of diabetes, type of anti-diabetic medication, and level of diabetes control (HbA1c) (Table 5). In the second four models, 125 patients in which periodontal and gingival indexes were evaluated variables such as age, gender, denture measuring, xerostomia, duration of diabetes, type of anti-diabetic medication, level of diabetes control (HbA1c), number of missing teeth, plaque index (PLI), gingival index (GI), bleeding index (BI) and clinical attachment loss (CAL) were used for analysis (Additional file 1: Table S1)

ผลลัพธ์ (อังกฤษ) 2:

Validity Disciminant Evaluations showed that patients with poor oral problems had more Health and Lower ADD and SC scores. Use of tobacco was not entered into the model due to limited number of smoking patients (n = 18). In addition, due to limited range of D and F for classification of patients and effect of missing teeth on oral health-related quality of life of patients, among DMFT components M was entered into logistic regression models as a confounding factor. Eight models had been designed here; in the first four models 350 subjects were evaluated based on variables of age, gender, denture wearing, xerostomia, duration of diabetes, type of anti-diabetic medication, and level of diabetes control (HbA1c) (Table 5). In the second four models, 125 patients in which periodontal and gingival indexes were evaluated variables such as age, gender, denture measuring, xerostomia, duration of diabetes, type of anti-diabetic medication, level of diabetes control (HbA1c), number of missing. teeth, plaque index (PLI), gingival index (GI), bleeding index (BI) and clinical attachment loss (CAL) were used for analysis (Additional file 1: Table S1).

ผลลัพธ์ (อังกฤษ) 3:

Disciminant validity

Evaluations showed that patients with poor health and more oral problems had lower ADD and SC, scores. Use of tobacco was not entered into the model due to limited number of smoking patients (n = 18). In addition due to, limited. Range of D and F for classification of patients and effect of missing teeth on oral health - related quality of life, of patientsAmong DMFT components M was entered into logistic regression models as a confounding factor. Eight models had been designed. Here; in the first four models 350 subjects were evaluated based on variables of age gender denture wearing xerostomia,,,,, Duration, of diabetes type of anti-diabetic medication and level, of diabetes control (HbA1c) (Table 5). In the second four. Models.125 patients in which periodontal and gingival indexes were evaluated variables such as age gender denture measuring,,,, Xerostomia duration diabetes, of, of type anti-diabetic medication level of, diabetes control (HbA1c), number of missing. Teeth plaque, index (PLI), gingival index (GI), bleeding index (BI) and clinical attachment loss (CAL) were used for analysis. (Additional file 1: Table S1).