Examining stable and dynamic factors associated with daily problematic mobile phone use: Evidence from a 14-day diary study using machine learning and network analysis.
- DOI
- 10.1016/j.addbeh.2026.108774
- Published
- 2026 Nov
- Container
- Addictive behaviors
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
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Cite this work
BibTeX
@article{allodium:10.1016/j.addbeh.2026.108774,
title = {Examining stable and dynamic factors associated with daily problematic mobile phone use: Evidence from a 14-day diary study using machine learning and network analysis.},
author = {Zhou H and Zheng Q and Jiang H and Lu J},
year = {2026},
journal = {Addictive behaviors},
doi = {10.1016/j.addbeh.2026.108774},
url = {https://doi.org/10.1016/j.addbeh.2026.108774}
}RIS
TY - JOUR TI - Examining stable and dynamic factors associated with daily problematic mobile phone use: Evidence from a 14-day diary study using machine learning and network analysis. AU - Zhou H AU - Zheng Q AU - Jiang H AU - Lu J PY - 2026 JO - Addictive behaviors DO - 10.1016/j.addbeh.2026.108774 UR - https://doi.org/10.1016/j.addbeh.2026.108774 ER -
APA
H, Z., Q, Z., H, J., & J, L. (2026). Examining stable and dynamic factors associated with daily problematic mobile phone use: Evidence from a 14-day diary study using machine learning and network analysis.. Addictive behaviors. https://doi.org/10.1016/j.addbeh.2026.108774
Source records
- pubmed · retrieved 2026-09-26T13:09:35.359Z