Abstract
The pervasive integration of smartphones and social media into daily life has transformed digital behavior into a central component of psychosocial functioning among young adults. In Spain, nearly half of university students report problematic smartphone use, and over 30% spend more than 5 h per day on their devices during weekdays. This study aimed to identify distinct psychosocial profiles based on digital behavior and mental health indicators in a sample of 416 Spanish university students (71.9% female; Mage = 21.9, SD = 4.93). A cluster analysis was conducted on standardized scores for digital addiction symptoms, nomophobia, recreational digital engagement, attachment-related anxiety, depression, loneliness, self-esteem, psychological well-being, and sleep health. Cluster 1 (n = 159) exhibited high scores for addiction symptoms, nomophobia, attachment-related anxiety, depression, loneliness and poor sleep quality, and lower scores for sleep quantity; Cluster 2 (n = 128) showed the lowest scores across digital addiction symptoms, nomophobia, and psychological symptoms and Cluster 3 (n = 129) demonstrated lowest scores in poor sleep quality, moderate digital engagement, attachment-related anxiety, depression and loneliness but significantly better self-esteem and sleep quantity. ANOVA and Tukey's post-hoc tests confirmed significant differences across clusters (p < .001) for all variables. These findings highlight the multidimensional nature of digital addiction and its cumulative associations with psychological and sleep-related outcomes. The identification of differentiated profiles supports the development of tailored interventions ranging from cognitive-behavioral therapy for high-risk groups to preventive psychoeducation for low-risk users. This study contributes to a nuanced understanding of digital behavior and its psychological correlates in university populations.
| Original language | English |
|---|---|
| Article number | 101001 |
| Journal | Computers in Human Behavior Reports |
| Volume | 22 |
| DOIs | |
| State | Published - May 2026 |
Keywords
- Anxiety
- Cluster analysis
- Depression
- Digital addiction
- Sleep health
- University students
- Well-being
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