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. 2020 Nov 5;63(2):72–79. doi: 10.1111/idj.12016

Table 3.

Zero-inflated Poisson regression analysis between dental caries (dependent variable) and explanatory variables

Explanatory variables Univariate analysis Multivariate analysis (final model)
exp(b) P exp(b) SE P
dmfs counts
Gender Boy*
Girl 1.94 (1.602.36) 0.000 2.33 (1.643.30) 0.41 0.000
Socioeconomic level Low*
Medium 0.78 (0.620.98) 0.036 0.63(0.29–1.35) 0.25 0.234
High 0.65 (0.510.83) 0.001 0.44 (0.210.92) 0.16 0.028
Size of residence < 90 m2*
90–119 m2 2.28 (1.743.02) 0.000 2.35 (0.96–5.78) 1.08 0.061
≥ 120 m2 1.50 (1.131.99) 0.005 2.47 (1.145.33) 0.97 0.022
House tenure Private*
Rented 1.48 (1.171.87) 0.001 2.31 (1.094.93) 0.89 0.030
Internet connection 1.74 (1.262.45) 0.002 1.49(0.91–2.44 0.37 0.114
0.27 (0.06–1.28) 0.21 0.098
dmfs = 0
Socioeconomic level Low*
Medium 2.28 (1.294.02) 0.004 2.20 (1.265.84) 0.36 0.041
High 1.92(1.013.35) 0.022 1.55 (0.92–3.47) 0.34 0.201
Commercial fruit juices consumption 0.67 (0.280.72) 0.001 0.53 (0.310.91) 0.27 0.021
3.07 (0.925.34) 0.28 0.000
*

reference category, statistical significance P ≤ 0.05 (in bold), Wald χ2 (7) = 55.99, P = 0.0000, Vuong test: 4.42, P = 0.0000, Bayesian information criterion (BIC) difference = 80.095.

dmfs, decayed, missing, filled tooth surfaces.