A network analysis approach to core symptoms and symptom relationships of problematic social media use among young adults

Abstract

ABSTRACT Problematic social media use (PSMU) is a new and potentially addictive behavior causing a public health issue among young adults. PSMU has been extensively researched; however, prior studies primarily focus on the direct or indirect correlation of PSMU and other proximal or distal variables, rather than examining links with distinct factors or the importance of each factor in the development of PSMU. The current study, based on the Person-Affect-Cognition-Execution model aimed to investigate the relationship between PSMU, the intensity and extent of social media usage, personal characteristics, negative emotions and cognitions, and self-control using network analysis. A total of 896 Chinese young adults (Mage = 20.57, SD = 2.00) were included in this study. The results showed that state-fear of missing out had the closest association with PSMU, followed by social network site usage intensity, social media self-control failure, and social media engagement, which were the strongest risk factors of PSMU. Social media engagement, fear of missing out, and social media self-control failure were the most core co-occurring symptoms with PSMU. Neuroticism was a distal factor that influenced the whole network. This study contributed to the conceptualization and visualization used to explain the development of PSMU and provided important theoretical and practical implications.