Table 1.
Patient characteristics.
Table 2.
Analysis of dental status according to the presence of NCDs.
Table 3.
Multiple regression analysis of effect of risk factors on DMFT score.
Fig 1.
A chi-square automatic interaction detection classification tree analysis to identify the predictors related to the DMFT of all subjects.
Data were presented as mean ± standard deviation. F, female; M, male; DM, diabetes mellitus.
Fig 2.
A chi-square automatic interaction detection classification tree analysis to identify the predictors related to the DMFT of all subjects; excluding age.
Data were presented as mean ± standard deviation. HT, hypertension; DM, diabetes mellitus; CVD, cardiovascular disease.
Fig 3.
A chi-square automatic interaction detection classification tree analysis to identify the predictors related to the DMFT of subjects with DMFT score ≥ 4.5.
Data were presented as mean ± standard deviation. F, female; M, male; DM, diabetes mellitus.
Fig 4.
A chi-square automatic interaction detection classification tree analysis to identify the predictors related to the DMFT of subjects with DMFT score ≥ 4.5; excluding age.
Data were presented as mean ± standard deviation. HT, hypertension; F, female; M, male; DM, diabetes mellitus; CVD, cardiovascular disease.