An analysis of the predictive factors of digital gaming addiction on psychological well-being in young people using machine learning.
- DOI
- 10.3389/fpsyg.2026.1881878
- Published
- 2026
- Container
- Frontiers in psychology
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.3389/fpsyg.2026.1881878,
title = {An analysis of the predictive factors of digital gaming addiction on psychological well-being in young people using machine learning.},
author = {Özbek E and Çar B and Kurtoğlu A and Gündüz N and Duran M and Aydoğan M and Bozdağ İ and Elkholi SM},
year = {2026},
journal = {Frontiers in psychology},
doi = {10.3389/fpsyg.2026.1881878},
url = {https://doi.org/10.3389/fpsyg.2026.1881878}
}RIS
TY - JOUR TI - An analysis of the predictive factors of digital gaming addiction on psychological well-being in young people using machine learning. AU - Özbek E AU - Çar B AU - Kurtoğlu A AU - Gündüz N AU - Duran M AU - Aydoğan M AU - Bozdağ İ AU - Elkholi SM PY - 2026 JO - Frontiers in psychology DO - 10.3389/fpsyg.2026.1881878 UR - https://doi.org/10.3389/fpsyg.2026.1881878 ER -
APA
E, Ö., B, Ç., A, K., N, G., M, D., M, A., İ, B., & SM, E. (2026). An analysis of the predictive factors of digital gaming addiction on psychological well-being in young people using machine learning.. Frontiers in psychology. https://doi.org/10.3389/fpsyg.2026.1881878
Source records
- pubmed · retrieved 2026-09-25T23:32:17.492Z