This research explores the interplay between social media usage, offline and online interactions, perceived social support, and depression levels among university students. Analyzing data from 430...Show moreThis research explores the interplay between social media usage, offline and online interactions, perceived social support, and depression levels among university students. Analyzing data from 430 participants, this cross-sectional study leverages the Patient Health Questionnaire-9 (PHQ-9) to assess depression symptoms and employs both multivariate and univariate linear regression analyses, as well as MANOVA and ANOVA tests, to understand the connections between online/offline social interactions, perceived social support, and depression. Key findings indicate a significant relationship between the level of perceived social support (β = -0.49, p < .001) and frequency of online interactions (β = 0.43, p < .05) with depression levels. Notably, individuals reporting higher levels of perceived social support tend to exhibit lower depression levels, while those with frequent online interactions often show higher depression levels. The study also identifies marked gender differences in social media use and depression, with females showing greater susceptibility. These results underscore a nuanced relationship between active/passive social media engagement, gender, and mental health. The research emphasizes the need for mental health strategies that consider individual differences, particularly focusing on the quality of social support and patterns of online engagement, to effectively address mental health concerns in young adults.Show less