Cyberchondria and smartphone addiction: A correlation survey among undergraduate medical students in Egypt

Journal of the Egyptian Public Health Association

Table 4 Regression analysis of predictors of smartphone addiction among the studied sample of university students in Egypt (N = 1435)

Independent variables	B	p-value	Exp. (B)	95% CI for exp. (B)
Independent variables	B	p-value	Exp. (B)	Lower	Upper
Age	.036	0.434	1.037	0.947	1.135
Gender	− 0.147	0.215	0.863	0.684	1.089
Residence	− 0.151	0.222	0.860	0.675	1.095
Academic year	− .028	0.703	0.972	0.841	1.124
Marital status	− .035	0.820	0.966	0.714	1.305
GPA	.051	0.498	1.052	0.908	1.219
University	.030	0.348	1.030	0.968	1.096
Facebook	0.526	.0001*	1.693	1.330	2.154
WhatsApp	0.296	.019*	1.344	1.049	1.722
Online shopping	− 0.272	0.185	0.762	0.509	1.139
Google	− .063	0.645	0.939	0.717	1.228
Twitter	.094	0.546	1.099	0.809	1.492
YouTube	.029	0.815	1.029	0.808	1.311
Snapchat	.022	0.908	1.023	0.700	1.494
Instagram	.013	0.945	1.013	0.704	1.458
Other programs	0.247	0.129	1.280	0.930	1.762
Chronic illness	0.241	0.201	1.272	0.880	1.839
Physical activity	− 0.439	.0001*	0.645	0.510	0.816
Frequency of searching health-related information	− .059	0.105	0.942	0.877	1.012
Hours they spend on Internet per day	0.438	.0001*	1.550	1.280	1.876
Degree of worry about one’s health or family members’ health	− .096	0.100	0.909	0.811	1.018
Cyberchondria score	0.929	.0001*	2.533	1.827	3.513