Document Type : Original Article


1 Health Information Technology Department, School of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran

2 Master of Arts in Clinical Psychology, Abadan Faculty of Medical Sciences, Abadan, Iran

3 Student Research Committee, Abadan Faculty of Medical Sciences, Abadan, Iran


BACKGROUND: Internet addiction (IA) is a severe problem, especially in academic communities.
The association between IA and unfavorable emotional conditions (e.g., anxiety, stress, and
depression) can harm students’ relationships and academic and career performance. The present
study evaluated (a) the prevalence of IA in a sample of medical sciences university students; (b) the
association between IA and depression, anxiety, stress, and sleep disorders; and (c) the association
between demographic characteristics and IA, depression, anxiety, and stress.
MATERIALS AND METHODS: In this descriptive cross‑sectional study, 268 students from Abadan
University of Medical Sciences were selected using Morgan Table. The participants responded to
the Young Internet Addiction Test, the Depression Anxiety Stress Scales‑42, and the Pittsburgh
Sleep Quality Index. Data were analyzed using descriptive statistics, Pearson correlation coefficient,
independent sample t‑test, one‑way ANOVA, and least significant difference.
RESULTS: The mean score of IA was 45.65 ± 35.40. IA was found to be significantly related to
depression, anxiety, stress, and sleep disorders (except for sleep disturbance) (P < 0.001). Males
were found to be more likely than females to suffer from IA, depression, anxiety, stress, and sleep
disorders. Furthermore, age was inversely related to IA, depression, and stress. Finally, medical
sciences students suffered from depression, anxiety, and stress more than students majoring in
other fields.
CONCLUSIONS: The simultaneous occurrence of IA and depression, anxiety, stress, and sleep
disorders in students indicates that IA is associated with other psychological problems. Therefore,
researchers and policymakers need to identify preventive measures to help internet‑addicted students.


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