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A Data-Driven Approach to Adolescent Health Using Personalized Sports Prescriptions

Defa Guo

International Journal of Healthcare Information Systems and Informatics2026https://doi.org/10.4018/ijhisi.400703article
ABDC C
Weight
0.50

What the paper says

This study presents an mHealth-based intervention using wearable devices and personalized sports prescriptions to improve adolescent physical health. A 12-week experiment was conducted with 312 junior high school students, randomly assigned to intervention and control groups. The intervention group received customized exercise plans supported by real-time physiological monitoring in addition to regular physical education; the control group followed standard classes only. Data on physical fitness (body mass index [BMI], lung capacity, 50-meter run, grip strength) and mental well-being were collected. Results showed significant improvements in the intervention group across all physical indicators (p < 0.05). The findings suggest that integrating wearable technology and data-driven prescription models into school health programs can effectively promote adolescent health, offering a scalable digital health solution within educational settings.

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https://doi.org/https://doi.org/10.4018/ijhisi.400703

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@article{defa2026,
  title        = {{A Data-Driven Approach to Adolescent Health Using Personalized Sports Prescriptions}},
  author       = {Defa Guo},
  journal      = {International Journal of Healthcare Information Systems and Informatics},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.4018/ijhisi.400703},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.