BrisT1D Dataset: Young Adults with Type 1 Diabetes in the UK using Smartwatches
Sam Gordon James, Miranda Elaine Glynis Armstrong, Aisling Ann O'Kane, Harry Emerson, Zahraa S. Abdallah

TL;DR
The BrisT1D Dataset provides comprehensive smartwatch and device data from young UK adults with T1D, enabling research on blood glucose management, user experiences, and the role of wearable technology in chronic disease management.
Contribution
This paper introduces a new public dataset combining device data and qualitative insights from young adults with T1D using smartwatches, supporting diverse research applications.
Findings
Dataset includes processed and raw device data and qualitative transcripts.
Supports blood glucose and hypoglycaemia prediction models.
Enables exploration of user experiences and wearable technology impact.
Abstract
Background: Type 1 diabetes (T1D) has seen a rapid evolution in management technology and forms a useful case study for the future management of other chronic conditions. Further development of this management technology requires an exploration of its real-world use and the potential of additional data streams. To facilitate this, we contribute the BrisT1D Dataset to the growing number of public T1D management datasets. The dataset was developed from a longitudinal study of 24 young adults in the UK who used a smartwatch alongside their usual T1D management. Findings: The BrisT1D dataset features both device data from the T1D management systems and smartwatches used by participants, as well as transcripts of monthly interviews and focus groups conducted during the study. The device data is provided in a processed state, for usability and more rapid analysis, and in a raw state, for…
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Taxonomy
TopicsMobile Health and mHealth Applications · Diabetes Management and Research · Diabetes Management and Education
