PubMed
open access
Mental health, personality, and cross-addictions as predictors of social media addiction: a machine learning longitudinal study.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Longitudinal Associations Between Mental Health and Problematic Social Media Use: The Mediating Role of the Motives for Social Media Use#196932
- Supplementary Material for: Using Machine Learning with the Brief Symptom Inventory to Screen for Comorbid Addictions: A Proof-of-Principle Study#353657
- Loneliness and Personality: Noise- and Bias-Free True Correlations Between Loneliness and the Big Five Personality Domains#329966
- Investigating the Impact of Fast-Paced Digital Content, Social Media Engagement, and Lifestyle Factors on Attention, Cognitive Load, and Behavioral Impulsivity: A Machine Learning Approach.#449721
- Predicting Cybermindfulness with the Cyber-Health Belief Model#268181
Record · ID 331296
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive