Low-burden data-driven work addiction screening: Comparing demographic and psychosocial predictors using machine learning.

Woropay-Hordziejewicz NA, Charzyńska E, Buźniak A, Czerwiński SK, Schneider Z, Atroszko PA

DOI: 10.1556/2006.2026.00060
Published: 2026 Jul 15
Container: Journal of behavioral addictions
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1556/2006.2026.00060,
  title = {Low-burden data-driven work addiction screening: Comparing demographic and psychosocial predictors using machine learning.},
  author = {Woropay-Hordziejewicz NA and Charzyńska E and Buźniak A and Czerwiński SK and Schneider Z and Atroszko PA},
  year = {2026},
  journal = {Journal of behavioral addictions},
  doi = {10.1556/2006.2026.00060},
  url = {https://doi.org/10.1556/2006.2026.00060}
}

RIS

TY  - JOUR
TI  - Low-burden data-driven work addiction screening: Comparing demographic and psychosocial predictors using machine learning.
AU  - Woropay-Hordziejewicz NA
AU  - Charzyńska E
AU  - Buźniak A
AU  - Czerwiński SK
AU  - Schneider Z
AU  - Atroszko PA
PY  - 2026
JO  - Journal of behavioral addictions
DO  - 10.1556/2006.2026.00060
UR  - https://doi.org/10.1556/2006.2026.00060
ER  -

APA

NA, W., E, C., A, B., SK, C., Z, S., & PA, A. (2026). Low-burden data-driven work addiction screening: Comparing demographic and psychosocial predictors using machine learning.. Journal of behavioral addictions. https://doi.org/10.1556/2006.2026.00060

Source records

pubmed · retrieved 2026-09-27T12:15:19.691Z