Table 4 Headache analyzed with a multinomial logistic regression model

0.879

0.583–1.324

0.537

1.384

0.741–2.587

0.308

1.069

0.693–1.649

0.764

1.036

0.589–1.820

0.903

1.031

0.749–1.420

0.850

0.768

0.505–1.167

0.216

1.062

0.782–1.444

0.700

1.051

0.675–1.635

0.827

1

–

–

1

–

–

0.826

0.626–1.090

0.176

0.634

0.430–0.934

0.021

0.527

0.405–0.684

<0.001

0.508

0.354–0.729

<0.001

0.373

0.290–0.480

<0.001

0.325

0.230–0.459

<0.001

0.312

0.244–0.400

<0.001

0.313

0.223–0.441

<0.001

0.239

0.183–0.313

<0.001

0.169

0.117–0.242

<0.001

0.173

0.132–0.227

<0.001

0.107

0.075–0.154

<0.001

0.113

0.085–0.151

<0.001

0.092

0.064–0.133

<0.001

0.070

0.051–0.096

<0.001

0.048

0.032–0.073

<0.001

2.877

2.385–3.470

<0.001

1.981

1.679–2.337

<0.001

1

–

–

1

–

–

1.065

0.664–1.708

0.793

1.198

0.629–2.281

0.583

1.117

0.675–1.847

0.667

1.090

0.612–1.942

0.769

1.241

0.858–1.793

0.252

0.732

0.476–1.127

0.157

1.068

0.746–1.530

0.719

0.965

0.612–1.521

0.879

1

–

–

1

–

–

0.624

0.444–0.877

0.007

0.619

0.415–0.923

0.019

0.494

0.358–0.680

<0.001

0.357

0.244–0.521

<0.001

0.317

0.231–0.434

<0.001

0.198

0.137–0.286

<0.001

0.190

0.137–0.263

<0.001

0.138

0.095–0.199

<0.001

0.116

0.078–0.173

<0.001

0.089

0.059–0.134

<0.001

0.079

0.051–0.121

<0.001

0.054

0.036–0.082

<0.001

0.070

0.045–0.109

<0.001

0.032

0.020–0.051

<0.001

0.042

0.024–0.071

<0.001

0.028

0.017–0.045

<0.001

7.666

6.230–9.433

<0.001

4.523

3.797–5.387

<0.001

1

–

–

1

–

–

0.587

0.314–1.096

0.094

1.389

0.717–2.691

0.330

1.060

0.589–1.909

0.846

0.854

0.464–1.569

0.610

1.348

0.884–2.058

0.166

0.643

0.409–1.012

0.056

1.027

0.674–1.564

0.901

1.103

0.690–1.762

0.682

1

–

–

1

–

–

0.861

0.586–1.266

0.447

0.546

0.359–0.832

0.005

0.428

0.289–0.635

<0.001

0.284

0.190–0.426

<0.001

0.243

0.163–0.362

<0.001

0.174

0.118–0.257

<0.001

0.158

0.105–0.239

<0.001

0.122

0.082–0.182

<0.001

0.097

0.057–0.166

<0.001

0.082

0.053–0.128

<0.001

0.121

0.074–0.197

<0.001

0.054

0.035–0.085

<0.001

0.129

0.081–0.206

<0.001

0.037

0.023–0.061

<0.001

0.099

0.059–0.166

<0.001

0.027

0.016–0.048

<0.001

11.168

8.896–14.021

<0.001

7.978

6.633–9.596

<0.001

1

–

–

1

–

–

0.226

0.076–0.672

0.007

1.542

0.755–3.151

0.235

0.486

0.199–1.185

0.112

1.046

0.540–2.028

0.893

0.706

0.396–1.260

0.239

0.620

0.372–1.031

0.066

0.637

0.363–1.118

0.116

1.186

0.711–1.979

0.514

1

–

–

1

–

–

0.630

0.384–1.033

0.067

0.417

0.256–0.679

<0.001

0.400

0.244–0.655

<0.001

0.331

0.210–0.522

<0.001

0.197

0.117–0.333

<0.001

0.138

0.086–0.220

<0.001

0.174

0.104–0.289

<0.001

0.114

0.072–0.183

<0.001

0.026

0.008–0.084

<0.001

0.079

0.046–0.137

<0.001

0.064

0.029–0.140

<0.001

0.021

0.010–0.044

<0.001

0.058

0.026–0.126

<0.001

0.017

0.007–0.038

<0.001

0.040

0.015–0.103

<0.001

0.028

0.014–0.057

<0.001

12.664

9.413–17.037

<0.001

8.552

6.856–10.667

<0.001

1

–

–

1

–

–

0.426

0.092–1.984

0.277

0.751

0.303–1.862

0.536

0.262

0.033–2.084

0.205

0.605

0.264–1.388

0.236

1.733

0.778–3.861

0.178

0.625

0.349–1.117

0.113

1.826

0.852–3.912

0.122

0.941

0.523–1.695

0.839

1

–

–

1

–

–

1.156

0.545–2.452

0.705

0.531

0.309–0.913

0.022

0.711

0.332–1.523

0.381

0.316

0.186–0.539

<0.001

0.606

0.294–1.250

0.175

0.126

0.071–0.221

<0.001

0.437

0.210–0.912

0.027

0.177

0.106–0.296

<0.001

0.289

0.119–0.699

0.006

0.073

0.037–0.143

<0.001

0.120

0.038–0.378

<0.001

0.041

0.019–0.086

<0.001

0.163

0.060–0.442

<0.001

0.034

0.015–0.076

<0.001

0.209

0.080–0.541

0.001

0.049

0.024–0.103

<0.001

12.169

8.498–17.425

<0.001

10.358

7.967–13.467

<0.001

1

–

–

1

–

–