Frailty InsighTs from Gait and Activity Insole-based Tracking: FIT from GAIT

Summary

This study is to find early signs of frailty in older adults by observing how people walk and travel in their everyday lives. Currently, doctors use tests and survey tools, but early detection is challenging. These tools use medical history, mobility, nutritional status etc., but may include bias. And these single point tests may also miss someone’s day to day patterns. We need accessible, concrete approaches to detect frailty. In our study, we aim to create a smart computer model, from daily life data, for early frailty detection.

Eligibility

Currently recruiting participants: Yes

Eligible ages: 65 to 130

Accepts healthy participants: Yes

Inclusion criteria:

Older adults who 1) Are 65 years or older 2). Able to walk independently, without the use of a wheelchair for at least 20m (walking aids permitted) 3). Are proficient in English 4). Are willing to wear foot sensory insoles in compatible footwear, in daily indoor and outdoor activities during waking hours 5). Available to attend one of the designated in-person shoe fitting sessions

Exclusion criteria:

You are not eligible to participate if you 1). Are less than 65 years old 2). Have previous history of psychiatric, neurologic diseases (e.g., schizophrenia, depression) and/or severe cognitive impairment 3). Have any underlying condition that prevents you from walking independently without a wheelchair OR require custom footwear/custom orthotics.

Participate

Fill out the following form if you want to participate in this research

Method of contact

UCalgary Notice of Collection
The University of Calgary (UCalgary) respects your privacy and is committed to ensuring the privacy of all students, staff, and community members. Your personal information is being collected under the authority of section 4(c) of the Protection of Privacy Act (POPA). It will be collected, used and disclosed for the purposes outlined in UCalgary’s Notice of Collection, Use and Disclosure of Personal Information and managed in accordance with UCalgary’s Privacy Management Program. Your personal information may be input into automated systems to generate content or make decisions, recommendations, or predictions. If you have questions regarding this notice or UCalgary’s collection, use, or disclosure of your personal information, please contact accessandprivacy@ucalgary.ca.

Additional information

Contact information

Maahika Mehta, MSc. Student, University of Calgary

Principal investigator:

Sayeh Bayat

Clinical trial:

No

REB-ID:

REB25-1745