Identifying Risk Subgroups: A Study on the Joint Latent Profile Analysis of Short Video Addiction, Autonomy Support, and Basic Psychological Needs in Predicting Depression

Key Points

• The aim is to explore how short video addiction, autonomy support, and psychological needs interact to predict depression in adolescents.
• Analyzed data from 515 adolescents using scales for short video addiction, autonomy support, psychological needs, and depression.
• Employed latent profile analysis to classify participants into different profiles based on their addiction and support levels.
• Used ANOVA and regression analysis to examine the predictive relationships among profiles and depression levels.
• Identified three distinct latent profiles of adolescents regarding short video addiction and support: healthy adaptation, general balance, and high-resource addiction.
• Found significant differences in depression scores across profiles, with healthy adaptation showing the lowest and high-resource addiction the highest levels.
• Established that certain profiles significantly predict varying levels of depression among adolescents.