Dr Nurudeen Adesina, the Co-Lead of ARU’s Digital Health Research Group within the Health and Care Research Centre, was nominated to attend the landmark International consensus meeting on wearables for measuring mobility in aging populations, held in Burlington, Ontario, Canada.
This inspiring two-day event (25-26 November 2024), hosted by the McMaster Institute for Research on Aging in collaboration with the University of Birmingham's School of Sport, Exercise and Rehabilitation Sciences, brought together experts from across the globe to develop best practices for using wearable devices to measure mobility in the context of inclusivity through aging.
Nurudeen was nominated by the Cognitive Frailty Interdisciplinary Network (CFIN) to participate in this high-profile event.
Our Digital Health Research Group's core strategy of harnessing feasibility and acceptability of new digital health tools including wearables within diverse demographics closely aligns with the CFIN commitment to promote collaborative, multidisciplinary research to address the challenge of alleviating the development of age-related cognitive frailty. This collective mission, in turn, fitted perfectly with the aim and topics of the discussions in Canada.
The meeting also aimed to identify critical knowledge gaps and priorities for research to advance the field in this space. The discussions emphasised:
1. Critical device-derived measures to characterize each subdomain of mobility in older people.
2. Best practices and recommended methods for using wearable devices to measure mobility in older people.
3. Priorities for future research on wearable technology in aging populations.
To guide the discussion on standards for wearable-derived measures of mobility and their associated collection methods, it was proposed that delegates follow the WHO definition which encompasses the following five sub-domains of mobility: 1) postural, 2) walking, 3) physical activity, 4) transportation, and 5) life-space.
We look forward to the emergence of an international consensus statement on the use of this technology for measuring mobility in aging populations.