Data analysis
depression, Depression, anxiety
REGRESSION
For the quantitative data, the statistical software was employed. Firstly, descriptive statistics were calculated to determine the mean, and standard deviation of the Social Media Use Integration Scale (SMUIS) and Depression Anxiety Stress Scales (DASS-21) scores, as well as the mean, and standard deviation of the SMUIS and DASS-21 scores at baseline, post-intervention, and three-month follow-up for both the intervention and control groups. Secondly, bivariate correlations were conducted to examine the relationship between social media use and symptoms of anxiety and depression. Thirdly, multiple regression analysis was performed to determine the unique contribution of social media use to symptoms of anxiety and depression while controlling for other relevant variables. Fourthly, repeated measures ANOVA was conducted to examine changes in SMUIS and DASS-21 scores over time and to determine if there were differences between the intervention and control groups. Finally, post hoc tests were conducted to examine differences between groups at each time point. Effect sizes were calculated to determine the magnitude of the intervention's effects. However, for the qualitative data, the qualitative analysis software was employed. Firstly, the transcripts of the semi-structured interviews were analyzed using thematic analysis to identify themes and subthemes related to participants' experiences with the mindfulness-based mobile app intervention. Secondly, quotes were selected to support and illustrate the identified themes and subthemes. Lastly, the themes and subthemes were interpreted and discussed to provide insight into participants' perceptions and opinions regarding the intervention.