Background: In the digital age, safeguarding children’s mental health (CMH) has emerged as one of the most pressing challenges. The rapid evolution of social media (SM) from a basic networking platform to a multifaceted tool has introduced numerous conveniences. However, it has also posed significant challenges to children’s mental well-being. Methods: Given the intricate relationship between the widespread use of SM and mental health issues in children, this study conducted a systematic scoping review to examine the literature on the impact of SM on CMH from 2014 to 2024. Literature searches were performed across five databases (Web of Science, ScienceDirect, Scopus, PubMed, and APA PsycInfo), and the retrieved studies were screened, extracted, and analyzed by the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Extension for Scoping Review (PRISMA-ScR) guidelines. Results: The review identified a complex relationship between SM use and CMH. Different SM platforms exhibited varying effects on children. Frequent SM use was strongly associated with lower self-esteem, depressive symptoms, anxiety, and other mental health challenges in children. Conversely, moderate use of SM facilitated social interactions and emotional expression, which may have a positive influence on mental health. Additionally, factors such as social support from family and school were found to play a critical role in mitigating the negative effects of SM on CMH. Conclusions: To enhance CMH, it is essential to guide children in the appropriate use of SM, promote awareness of privacy protection, and ensure adequate family and social support. Future research should further investigate the specific mechanisms underlying SM use and its differential effects on children across varying age groups and regions.

Public health education (PHE) plays a crucial role in mitigating the impact of public health crises, particularly in the context of high-density and aging populations. This study aims to address the challenges posed by these demographic trends in community public service spaces (CPSSs) by integrating geospatial and population data. Using bivariate spatial autocorrelation analysis, this research investigates the relationship between PHE and social determinants of health across 40 CPSSs in Macao. Additionally, it highlights the underutilization of digital technologies (DTs) in PHE. A non-participatory, short-term field survey and observational study were conducted to analyze PHE data quantitatively and descriptively in Macao’s CPSSs. Moran’s I and LISA index were used to test spatial autocorrelation at 90% and 99% confidence levels. The results revealed significant positive spatial correlations between the distribution of community public service institutions (CPSIs) and the population in southern Macao, as well as between the elderly population and PHE themes and formats. PHE topics predominantly focus on health/fitness, geriatrics, chronic diseases, and mental health. Despite this, PHE remains heavily reliant on offline formats, with limited integration of DTs. Challenges such as low digital literacy and limited acceptance of DTs among community workers and the public hinder their broader adoption. This study provides valuable insights for optimizing the allocation of health education resources in densely populated and aging urban areas, offering both practical recommendations and theoretical support for health policy making and implementation.