Skip to main content
. 2018 Aug 18;15(8):1775. doi: 10.3390/ijerph15081775

Table 1.

Meta-regression for decayed, missing, and filled teeth and covariates.

Models R2 Tau2 Coefficient Standard Error p-Value
Unadjusted models
Human Development Index—HDI (quantitative) 2.85% 36.39 20.17878 15.26451 0.180
University
(<33.78% of the population with a university)
−6.22% 30.11 −0.3066788 2.615528 0.919
Education
(>33.60% of the population with low education)
−5.55% 34.34 −2.301079 3.596737 0.546
Socioeconomic Status—SES
(>22.4% of the population with low SES)
76.25% 9.302 10.49365 2.340803 0.031
Age (older population—mean age of the population >33.4 years) 6.41% 33.25 4.324884 3.121433 0.197
Adjusted models
Model 1 *
HDI (quantitative) 100.0% 0.0 −42.94101 142.3087 0.956
University degree (<33.78%) −4.132903 17.93963 0.974
Education (>33.60% with low education) 7.205453 7.012035 0.687
Age (older population—mean age of the population >33.4 years) 5.248158 1.843047 0.282
Model 2 **
HDI (quantitative) 73.04% 10.56 6.901906 11.08584 0.832
SES (>22.4% of the population had low SES) 10.35391 2.503207 0.050

R2 = proportion of the between-study variance explained, Tau2 = the estimative of between-study variance, coefficient, standard error of DMFT, and p value. adjusted p-value by Monte Carlo permutation. * 6 observations were included in the model. ** 7 observations were included in the model.