Cyberchondria severity and quality of life among Lebanese adults: the mediating role of fear of COVID-19, depression, anxiety, stress and obsessive–compulsive behavior—a structural equation model approach

Table 8 Coefficient, standard error and p-value of the structured equation modeling (SEM) approach model taking the mental quality of life (MCS) as the dependent variable

Variable	Coefficient	Standard error	p
Model 1: Anxiety as the mediator
Cyberchondria → Anxiety	− 0.14	0.05	0.003
Anxiety → MCS	− 0.43	0.04	< 0.001
Age → MCS	− 0.02	0.04	0.606
Gender → MCS	0.01	0.79	0.903
Model 2: Stress as the mediator
Cyberchondria → Stress	0.35	0.03	< 0.001
Stress → MCS	0.001	0.06	0.980
Age → MCS	0.04	0.05	0.442
Gender → MCS	0.002	0.88	0.970
Model 3: Depression as the mediator
Cyberchondria → Depression	0.05	0.06	0.310
Depression → MCS	− 0.20	0.03	< 0.001
Age → MCS	0.04	0.05	0.376
Gender → MCS	− 0.002	0.86	0.969
Model 4: OCD as the mediator
Cyberchondria → OCD	0.11	0.04	0.015
OCD → MCS	− 0.07	0.05	0.167
Age → MCS	0.04	0.05	0.419
Gender → MCS	0.003	0.87	0.956
Model 5: Fear of COVID-19 as the mediator
Cyberchondria → Fear of COVID-19	0.33	0.03	< 0.001
Fear of COVID-19 → MCS	0.11	0.07	0.019
Age → MCS	0.03	0.05	0.593
Gender → MCS	− 0.01	0.87	0.907