dc.description.abstract | This study explores the impact of social media usage intensity on self-diagnosis
behavior among adolescents in Indonesia. In the current era of digitalization, the
proliferation of mental health literacy enables information to be widely available.
With an average social media usage of 2.8 hours per day, Indonesian adolescents
fall into the heavy user category according to Guarnieri. The research employs a
quantitative method with simple linear regression analysis to measure the selfdiagnosis
variable, based on the theory proposed by Ahmed Aaiz. The results of
the study indicate a significant influence (p=0.016, p<0.05) between social media
usage intensity and self-diagnosis behavior. This suggests that the higher the
intensity of social media usage, the more likely adolescents are to engage in selfdiagnosis
regarding their mental health conditions. Thus, it is evident that there
is a significant influence of social media usage intensity on accessing mental
health information regarding self-diagnosis behavior among adolescents. This
finding underscores the importance of attention to the impact of social media on
adolescent mental health, as well as reinforcing awareness of the need for
appropriate health literacy in this digital era. | en_US |