Table 5.

Multivariate ordinal logistic regression analysis for possible sleep bruxism, as the dependent variable and sociodemographic variables, as the independent variables

Model coefficients—possible sleep bruxism (order: without, sometimes, frequent)
						95% confidence interval
Predictor	Estimate	SE	Z	P	OR	Lower	Upper
Sex (children):
Masculine–feminine	0.429	0.307	1.399	0.162	1.54	0.84	2.81
Weight status (children)
Underweight–normal	0.539	0.640	0.842	0.400	1.71	0.47	5.99
Overweight–normal	0.351	0.380	0.921	0.357	1.42	0.67	2.99
Obesity–normal	0.289	0.391	0.739	0.460	1.34	0.62	2.88
Mother educational status
1 degree–2 degree	− 0.088	0.389	− 0.225	0.822	0.92	0.42	1.95
Graduated–2 degree	0.029	0.408	0.072	0.943	1.03	0.46	2.28
Mother marital status:
Single–married	0.608	0.427	1.422	0.155	1.84	0.79	4.27
Divorced–married	0.735	0.477	1.543	0.123	2.09	0.81	5.31
Others–married	0.459	0.440	1.042	0.297	1.58	0.66	3.75
Family income (wage per month):
Less than 1–between 1 and 2	0.045	0.548	0.082	0.935	1.05	0.34	3.01
Between 3 and 4–between 1 and 2	0.513	0.396	1.295	0.195	1.67	0.77	3.66
More than 4–between 1 and 2	0.764	0.462	1.654	0.098	2.15	0.87	5.36

Nagelkerke’s (R²N) = 0.040, VIF = 1.03–1.08, Tolerance = 0.923–0.967, Proportional odds P > 0.05

Variables not included–did not meet ordinal logistic regression assumptions