Table 4 Multiple logistic regression for the association of the independent variables and two dependent variables

Gender

0.761 (0.424–1.366)

0.360

1.200 (0.723–1.990)

0.480

Jaw type

1.427 (0.685–2.971)

0.342

0.636 (0.346–1.169)

0.145

Missed canal

10.022 (4.877–20.595)

< 0.001*

0.639 (0.356–1.146)

0.133

Obturation length^ǂ

-

< 0.001*

-

0.762

Underfilled canal

3.725 (1.875–7.398)

< 0.001*

1.083 (0.617-1.900)

0.782

Overfilled canal

15.859 (1.611-156.137)

0.018*

1.962 (0.296–12.987)

0.484

Restoration type^ǂ

-

0.764

-

0.546

Composite restoration

1.472 (0.516–4.195)

0.470

0.716 (0.283–1.809)

0.480

PFM crown

1.013 (0.546–1.880)

0.968

1.195 (0.708–2.017)

0.505

Perforation

15.216 (1.756-131.831)

0.013*

2.822 (0.724–10.994)

0.135

Post

0.860 (0.440–1.678)

0.658

0.875 (0.496–1.545)

0.646