Modeling the Relationship Between Technology Use and Stress: a Data-Driven Behavioral Analysis

Туримов, Д., Сайдирасулов, Н., Киличев, Д.

Рақамли технологияларнинг назарий ва амалий масалалари · 2025-yil

Annotatsiya

Understanding how daily behavioral patterns contribute to stress is increasingly important in a digitally saturated world. This study investigates the relationship between technology use, lifestyle behaviors, and stress levels using a data-driven machine learning framework. A gradient boosting regressor was trained on a behavioral dataset containing screen time, physical activity, sleep, and dietary patterns, excluding sensitive mental health indicators. The model achieved high predictive accuracy (R² = 0.979), significantly outperforming a baseline. Feature importance and SHAP analyses revealed that social media usage, work-related screen time, and low physical activity were the most impactful predictors of stress, while sleep quality and exercise were associated with lower stress levels. These results suggest that behavioral data alone can provide interpretable and reliable stress assessments, offering practical applications for digital wellness platforms and personalized feedback systems. The findings highlight the importance of monitoring digital habits as a non-clinical approach to mental well-being.

Maqola ma’lumotlari
MualliflarТуримов, Д., Сайдирасулов, Н., Киличев, Д.
JurnalРақамли технологияларнинг назарий ва амалий масалалари
NashriyotТАТУ Самарқанд филиали
ISSN2181-3086, 2181-3094
Nashr sanasi2025-10-23
Jild8
Son4
Betlar33-40
TilIngliz
Ilmiy sohaTexnika
DOI10.62132/ijdt.v8i4.300
Indeksga qo‘shilgan2026-08-26

DOI: 10.62132/ijdt.v8i4.300 · Maqolaning asl sahifasi

Kalit so‘zlar

прогнозирование стресса, использование технологий, машинное обучение, экранное время, поведенческие данные, SHAP, анализ образа жизни, моделирование благополучия, социальные сети, физическая активность, stress prediction, technology use, machine learning, screen time, behavioral data, SHAP, lifestyle analysis, wellness modeling, social media, physical activity

Ilmiy soha

Texnika

Iqtibos keltirish

APAТуримов, Д., Сайдирасулов, Н., & Киличев, Д. (2025). Modeling the Relationship Between Technology Use and Stress: a Data-Driven Behavioral Analysis. Рақамли технологияларнинг назарий ва амалий масалалари, 8(4), 33-40. https://doi.org/10.62132/ijdt.v8i4.300
GOST (OAK)Туримов, Д., Сайдирасулов, Н., Киличев, Д. Modeling the Relationship Between Technology Use and Stress: a Data-Driven Behavioral Analysis // Рақамли технологияларнинг назарий ва амалий масалалари. – 2025. – T. 8, № 4. – P. 33-40. – DOI: 10.62132/ijdt.v8i4.300.
MLAТуримов, Д., Сайдирасулов, Н., and Киличев, Д. “Modeling the Relationship Between Technology Use and Stress: a Data-Driven Behavioral Analysis.” Рақамли технологияларнинг назарий ва амалий масалалари, 8(4), 33-40, 2025. https://doi.org/10.62132/ijdt.v8i4.300
ChicagoТуримов, Д., Сайдирасулов, Н., and Киличев, Д. “Modeling the Relationship Between Technology Use and Stress: a Data-Driven Behavioral Analysis.” Рақамли технологияларнинг назарий ва амалий масалалари, 8(4), 33-40 (2025). https://doi.org/10.62132/ijdt.v8i4.300
HarvardТуримов, Д., Сайдирасулов, Н., and Киличев, Д (2025) ‘Modeling the Relationship Between Technology Use and Stress: a Data-Driven Behavioral Analysis’, Рақамли технологияларнинг назарий ва амалий масалалари, 8(4), 33-40. https://doi.org/10.62132/ijdt.v8i4.300
BibTeX
@article{article2025,
  title = {Modeling the Relationship Between Technology Use and Stress: a Data-Driven Behavioral Analysis},
  author = {Туримов, Д. and Сайдирасулов, Н. and Киличев, Д.},
  journal = {Рақамли технологияларнинг назарий ва амалий масалалари},
  year = {2025},
  volume = {8},
  number = {4},
  pages = {33-40},
  doi = {10.62132/ijdt.v8i4.300},
  url = {https://doi.org/10.62132/ijdt.v8i4.300}
}

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