Table 7 The final step in the hierarchical logistic regression analysis of predictors of current e-cigarette use in young people aged 11–16 years

Female

−.222

1.166

.036

1

.849

.801

.081

7.875

Male

−.181

1.165

.024

1

.877

.834

.085

8.187

Other

−2.259

1.647

1.881

1

.170

.104

.004

2.637

Year 8 (11–12 yrs)

−.245

1.019

.058

1

.810

.783

.106

5.767

Year 9 (12-13 yrs)

−.621

.588

1.113

1

.291

.538

.170

1.703

Year 10 (13–14 yrs)

1.247

.664

3.526

1

.060

3.480

.947

12.787

Year 11 (14–15 yrs)

−.248

.595

.174

1

.677

.780

.243

2.506

School type

.520

.475

1.195

1

.274

1.681

.662

4.270

Mother’s/female guardian EC use

.299

.596

.252

1

.616

1.348

.419

4.337

Fathers/male guardian EC use

−1.042

.573

3.310

1

.069

.353

.115

1.084

EC Knowledge

−.032

.199

.025

1

.873

.969

.656

1.431

SN

−.177

.404

.192

1

.661

.838

.380

1.849

Attitude

.767

.400

3.678

1

.055

2.153

.983

4.714

PBC

.009

.339

.001

1

.978

1.010

.520

1.961

Self-efficacy

.908

.378

5.784

1

.016

2.481

1.183

5.201

Intention

1.610

.288

31.22

1

.000

5.004

2.844

8.802

Indirect measure of attitude

.001

.015

.009

1

.925

1.001

.973

1.031

Indirect SN

.029

.016

3.167

1

.075

1.029

.997

1.062

Indirect PBC

−.049

.040

1.461

1

.227

.952

.880

1.031

Constant

−8.127

3.966

4.199

1

.040

.000