Table 3
Affecting Factors of Tooth Brushing Before and After COVID-19
| Variable |
Odds ratio |
Standard error |
za |
95% confidence interval |
| Gender |
|
|
|
|
| Boys (Ref.) |
|
|
|
|
| Girls |
2.221 |
0.025 |
70.620 |
2.172∼2.271 |
| School type |
|
|
|
|
| Middle school (Ref.) |
|
|
|
|
| High school |
2.542 |
0.029 |
80.440 |
2.485∼2.600 |
| Academic achievement |
|
|
|
|
| Low (Ref.) |
|
|
|
|
| Middle |
1.211 |
0.017 |
13.460 |
1.178∼1.245 |
| High |
1.246 |
0.017 |
15.700 |
1.213∼1.281 |
| The area of residence |
|
|
|
|
| Rural (Ref.) |
|
|
|
|
| Small city |
0.468 |
0.010 |
−36.020 |
0.449∼0.488 |
| Large city |
0.316 |
0.007 |
−53.620 |
0.303∼0.329 |
| Residential type |
|
|
|
|
| With family (Ref.) |
|
|
|
|
| Without family |
1.529 |
0.039 |
16.660 |
1.455∼1.608 |
| Family economic status |
|
|
|
|
| Low (Ref.) |
|
|
|
|
| Middle |
1.101 |
0.019 |
5.430 |
1.063∼1.140 |
| High |
1.174 |
0.022 |
8.680 |
1.133∼1.218 |
| COVID-19 |
|
|
|
|
| Before (Ref.) |
|
|
|
|
| After |
0.792 |
0.009 |
−20.820 |
0.775∼0.810 |
| /cut1 |
−468.3095 |
22.566 |
|
−512.537 to −424.082 |
| /cut2 |
−467.3404 |
22.565 |
|
−511.568 to −423.113 |
| /cut3 |
−466.5448 |
22.565 |
|
−510.772 to −422.318 |
aData was analysed by ordinal logistic regression.
