Table 5 Regression analysis of predictors to cyberchondria among the studied sample of university students in Egypt (N = 1435)

Age

 − 0.173

0.317

 − .019

 − 0.544

0.587

 − 0.795

0.450

Gender

0.984

0.815

.031

1.207

0.228

 − 0.615

2.582

Residence

1.380

0.861

.041

1.602

0.109

 − 0.309

3.069

Academic year

 − 0.167

0.512

 − .012

 − 0.326

0.745

 − 1.170

0.837

Marital status

1.102

1.089

.026

1.012

0.312

 − 1.035

3.239

GPA

 − 0.307

0.525

 − .017

 − 0.584

0.559

 − 1.337

0.724

University

0.163

0.222

.020

0.732

0.464

 − 0.273

0.599

Chronic illness

0.895

1.306

.017

0.685

0.493

 − 1.667

3.456

Physical activity

0.491

0.851

.015

0.577

0.564

 − 1.178

2.160

Frequency of searching health-related information

0.916

0.257

.090

3.568

.0001*

0.412

1.419

Hours spent on the Internet per day

 − 0.196

.680

 − .007

 − 0.289

0.773

 − 1.531

1.138

Degree of worry about one’s health or family members’ health

1.650

0.407

0.103

4.057

.0001*

0.852

2.447

Smartphone addiction

9.871

0.818

0.309

12.069

.0001*

8.266

11.475