Objective This study aims to evaluate whether smartphone addiction (SA) is associated with social media use and alexithymia levels in university students.Methods A group of 935 students aged between 18 and 45 years (509 females and 426 males) was recruited from different universities in Istanbul. SAs, alexithymia and social media use were assessed using the Smartphone Addiction Scale Short Version (SAS-SV), Toronto Alexithymia Scale-20 (TAS-20), and ad-hoc questions regarding social media use.Results The mean age of participants was 21.89±3.27 years and 509 of participants were female (54.4%). 455 (48.6%) participants were placed in the “SA” and 198 (21.2%) in the “alexithymia” categories. The study found a high level of positive correlation (p<0.001) between both subscale and total TAS-20 scores and SAS-SV scores. Gender (OR=1.496, 95% CI 1.117–2.002, p=0.007) and number of social media by participants (OR=1.221, 95% CI 1.134–1.315, p<0.001) and TAS (OR=1.074, 95% CI 1.059–1.090, p<0.001) were found to be an independent predictors for SA.Conclusion The study revealed a positive correlation between alexithymia and smartphone use severity, and alexithymia was a significant predictor of SA. Future studies focusing on the causal aspect of this relationship will be useful in planning strategies for treatment.
Objective This study aims to evaluate whether smartphone addiction (SA) is associated with social media use and alexithymia levels in university students.Methods A group of 935 students aged between 18 and 45 years (509 females and 426 males) was recruited from different universities in Istanbul. SAs, alexithymia and social media use were assessed using the Smartphone Addiction Scale Short Version (SAS-SV), Toronto Alexithymia Scale-20 (TAS-20), and ad-hoc questions regarding social media use.Results The mean age of participants was 21.89±3.27 years and 509 of participants were female (54.4%). 455 (48.6%) participants were placed in the “SA” and 198 (21.2%) in the “alexithymia” categories. The study found a high level of positive correlation (p<0.001) between both subscale and total TAS-20 scores and SAS-SV scores. Gender (OR=1.496, 95% CI 1.117–2.002, p=0.007) and number of social media by participants (OR=1.221, 95% CI 1.134–1.315, p<0.001) and TAS (OR=1.074, 95% CI 1.059–1.090, p<0.001) were found to be an independent predictors for SA.Conclusion The study revealed a positive correlation between alexithymia and smartphone use severity, and alexithymia was a significant predictor of SA. Future studies focusing on the causal aspect of this relationship will be useful in planning strategies for treatment.
INTRODUCTION METHODS RESULTS DISCUSSION
