Table 4 Regression coefficients for analysis 1^a

Constant

i_M

78.099

1.965

 < .001

[74.245; 81.954]

i_Y

17.010

4.275

 < .001

[8.625; 25.396]

Induced VD

a₁

-8.184^*

3.471

.019

[-14.992; -1.376]

c’₁

-2.398

1.815

.187

[-5.958; 1.162]

Operative VD

a₂

-24.418^***

5.111

 < .001

[-34.443; -14.393]

c’₂

-4.030

2.601

.122

[-9.131; 1.071]

Planned CS

a₃

-5.379

5.908

.363

[-16.967; 6.210]

c’₃

-4.771^*

2.402

.047

[-9.481; -0.060]

Unplanned CS

a₄

-24.122^***

5.278

 < .001

[-34.478; -13.766]

c’₄

-3.607

2.470

.144

[-8.451; 1.236]

Sex

a₅

11.964^***

1.158

 < .001

[9.693; 14.235]

c’₅

4.729

3.095

.127

[-1.342; 10.800]

Induced VD x Sex

a₆

1.764

2.245

.432

[-2.640; 6.167]

c’₆

0.850

1.155

.462

[-1.415; 3.115]

Operative VD x Sex

a₇

7.609^*

3.314

.022

[1.109; 14.108]

c’₇

2.069

1.819

.256

[-1.500; 5.638]

Planned CS x Sex

a₈

-0.213

3.558

.952

[-7.192; 6.766]

c’₈

1.993

1.668

.233

[-1.280; 5.265]

Unplanned CS x Sex

a₉

5.178

3.403

.128

[-1.496; 11.853]

c’₉

0.321

1.653

.846

[-2.931; 3.562]

SIL

-

-

-

-

-

b₁

-0.115^**

0.044

.009

[-0.201; -0.029]

SIL x Sex

-

-

-

-

-

b₂

-0.030

0.032

.337

[-0.092; 0.032]

R² = .257

R² = .147

F(14, 1609) = 41.946, p < .001

F(16, 1607) = 74.328, p < .001