Bryant Digital Repository
metadata only
Screening Students for Stress Using Fitbit Data
businesscomputer-sciencesdata-sciencedatabases-and-information-systemsdigital-healthhealth-information-technologywearable-technology
The pressures faced by college students frequently lead to heightened levels of stress. Wearable devices, which collect sensor data in a non-intrusive manner, present an opportunity for early detection of stress. Nonetheless, there is a lack of diversity in current research concerning psychological
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Evaluating Motivational Interviewing and Habit Formation to Enhance the Effect of Activity Trackers on Physical Activity#1096764
- Stress Detection Using Wearable Physiological and Sociometric Sensors#13098
- SSAQS: A Dataset of University Students’ Stress and Anxiety Levels based on Questionnaires and Wearable Sensors#1041538
- Compliance trends in a 14-week ecological momentary assessment study of undergraduate alcohol drinkers#1054822
- Perceived Stress and Disordered Eating Behaviors in Emerging Adulthood: A Multidimensional Pilot Study of Dietary and Genetic Factors.#1091061
Record · ID 1227723
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive