Introduction 
Social media have become an ever-increasing part of our lives. With the progress of technology and the widespread use of smartphones, people are spending more time on their screens, often unaware of the effect this can have on their mental well-being.

Objectives
This study aims at investigating the following variables among Albanian students: 
•	The predictive value that time spent on social media has on anxiety and depression.
•	The correlation between the levels of anxiety, depression and time on social media.
•	The gender differences in anxiety and depression.

Methodology
Students (N=664) from 10 public and nonpublic Universities were selected through a convenient sampling method. Questionnaires were administered online. Data were gathered using PHQ-9 (Patient Health Questionnaire-9) and BAI (Beck Anxiety Inventory). 

Results
Findings suggest a significant positive correlation between depression and anxiety (r=0.70, N=664, p=0.01), depression and time on social media (r=0.45, N=664, p=0.00), anxiety and time on social media (r=0.29, N=664, p=0.01). Time on social media has a predictive value for anxiety (t=20.98, p=0.01, r2=0.09) and depression (t=11.78, p=0.00, r2=0.2). The level of depression is predicted by the level of anxiety (t=12.17, p=0.01, r2=0.47). Women scored higher levels of anxiety (F(1, 662)=6.85, p<0.01), and higher levels of depression (F(1, 662)=5.66, p=0.01) compared to men. 	

Conclusions 
Time spent on social media has a predictive value on the levels of anxiety and depression, and there is a positive relationship between the three variables. Females report higher levels of anxiety and depression compared to males.

04 - TIME SPENT ON SOCIAL MEDIA AS A PREDICTOR OF THE LEVEL OF ANXIETY AND DEPRESSION IN ALBANIAN UNIVERSITY STUDENTS