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Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48026, first published .
Young person in casual clothes using a smartphone while sitting in a chair.

Status and Influencing Factors of Social Media Addiction in Chinese Workers: Cross-Sectional Survey Study

Status and Influencing Factors of Social Media Addiction in Chinese Workers: Cross-Sectional Survey Study

Journals

  1. Ren Y, Zhuang L, Xu D. Perceived Status and Sustainable Actions: How Subjective Socioeconomic Status Drives Green Energy Consumption in Chinese Households. Agriculture 2024;14(7):1105 View
  2. Gu J, Zhu P, Chu Y, Yan Y, Yang Y, Guo J, Xi B, Zhu S, Liang H, Xiao J, Huang J. Association Between Social Media Use and Burnout Among Primary Health Care Workers During the COVID-19 Pandemic in China: Nationwide Cross-Sectional Survey. Journal of Medical Internet Research 2025;27:e70398 View
  3. Alnasser B, Kumar R. Investigating the Mediating Role of Distress Between Nomophobia and Student Mindfulness: A Cross-Sectional Study. Healthcare 2025;13(19):2512 View
  4. Tufan C, Köksal K, Griffiths M, Terzioglu Z. Fear of missing out and psychological well-being: Examining the dual pathways of problematic social media use and digital burnout. Psychology, Health & Medicine 2026;31(6):1341 View
  5. Wang M, Ye Y. Social Media Addiction: The Mediating Role Between Teacher Relationships and Work Performance in Primary and Secondary Schools with the Moderating Role of School Climate. Cyberpsychology, Behavior, and Social Networking 2026;29(5):289 View
  6. Liu J, Dou L, Peng H, Yang X, Zhang Z, Luo J, Xu M, Wu M. Individual and joint associations of smartphone addiction and work duration with job burnout in nursing interns: a multicenter cross-sectional study. BMC Nursing 2026;25(1) View
  7. Tunc G, Köse B. The relationship between social media addiction levels and happiness levels among healthcare professionals. Frontiers in Psychology 2026;17 View

Books/Policy Documents

  1. Rizvi S, Yankouskaya A, Alshakhsi S, Rashid M, Ali R. Behavioural and Social Computing. View

Conference Proceedings

  1. R J, J J. 2026 International Conference on Signal, Systems, and Computing for Next-Gen Automation (ICSSCNA). Predicting Social Media Addiction Among University Students Via Stacking Ensemble Machine Learning Models: A Comparative Study View