Introduction: Many adolescents have ready access to the Internet. The Internet allows most needs related to communications, banking, education, and various other fields to be achieved regardless of time and location. Although this makes daily life easier, it can also cause issues such as Internet addiction, which is a serious public health problem. Stress is associated with difficulty interacting with others in healthy, positive, and meaningful ways, and has also been associated with Internet addiction. Aims: This study aimed to clarify the relationship between Internet addiction and stress in adolescents aged 12–15 years (grades 8 and 9) from four junior high schools in East Jakarta, DKI Jakarta Province, Indonesia. Methods: This study used a cross-sectional design and included 315 adolescents (boys: n=149, 47.3%; girls: n=166, 52.7%). Participants completed the Internet Addiction Test and the Perceived Stress Scale. Results: Although most adolescents had moderate stress levels, 23 (7.3%) adolescents had low stress and 18 (5.7%) had high stress. Most (n=281, 89.2%) adolescents had mild Internet addiction and 34 (10.8%) had moderate Internet addiction. We found a weak positive and statistically significant correlation between Internet addiction and stress (Spearman's correlation coefficient 0.345, p=0.000). Overall, 15 (5.3%) adolescents with mild Internet addiction experienced high stress, and three (8.8%) adolescents with moderate Internet addiction experienced high stress. Conclusion: Our findings suggest there is a weak positive relationship between Internet addiction and stress. Increased parental supervision of adolescents' Internet use may be needed use to prevent the risk of Internet addiction. Further research using longitudinal, or case-control designs is needed to clarify the causal relationship between Internet addiction and stress among adolescents.

Social media users regularly log in via online platforms to communicate and interact with other network users. There are many different social media sites that are popular among teenagers, including Facebook and Twitter, and these platforms offer alternatives to email for communication. Purpose: This study examined the relationship between social media use and physical activity among junior high school-aged adolescents. Methods: This study was a further analysis using data from a previous study that explored the use of online electronic media and physical health, mental health, and school performance among -junior high school students in East Jakarta, Indonesia. That cross sectional study included 315 adolescents from junior high school. Data were collected with the Social Media Use Scale and the Physical Activity Questionnaire for Adolescents. Results: This analysis showed that students fell into four social networking use groups: low use (n=78, 24.8%), average use (n=143, 45.4%), high use (n=81, 25.7%), and very high use (n=13, 4.1%). In terms of physical activity, 54 students (17.1%) had low activity, 181 (57.5%) had moderate activity, and 80 (25.4%) had high activity. The relationship between social media use and physical activity had a low correlation (r=0.005), indicating a weak, non-significant (p=0.928) relationship. Conclusion: This study found no significant relationship between social media use and physical activity among adolescents at junior high school in Indonesia.

We live in a media-saturated world and rely on a variety of new media for information, entertainment, and connectivity. The Internet, online gaming, and other electronic media have become increasingly popular among teenagers. Purpose: This study examined the relationship between Internet gaming addiction (IGA) and body mass index (BMI) status among junior high school students. Methods: This was a secondary data analysis of a previous study that explored electronic media use and physical health, mental health, and school performance among adolescents at junior high schools in East Jakarta. That study included a sample of 315 adolescents. The present analysis included data for 250 students. We examined IGA using the Internet Gaming Disorder Scale-Short Form and calculated BMI using body weight (kg) divided by height (in meters squared). Results: This analysis showed that 177 students (70.8%) had low levels of IGA and 126 students (50.4%) had a normal BMI. Students with high levels of IGA tended to be overweight. However, the relationship between IGA and BMI was weak and inverse (r = −0.036, p = 0.566). Conclusion: We found a weak inverse relationship between IGA and BMI. Further research is needed to better understand the link between IGA and BMI. It is also important to conduct a longitudinal study to clarify any causal relationship between IGA and BMI.