This study validates a multi-domain active aging program among White older adults in Canada. It is funded through a SSHRC Partnership Engage Grant and an Age-Well and Canadian Frailty Network Grant. This study has been reviewed and approved by the Toronto Metropolitan University Research Ethics board [REB 2023-187], and will serve as Cassandra Skrotzki’s doctoral dissertation project. It includes four phases: pretest, training (8 sessions over 4 weeks), posttest, and 1-month follow-up, administered in small groups through synchronized Zoom meetings. Each outcome evaluation session will take around 1.5 – 2 hours. The training includes 8 online training sessions (1.5 hours each, twice a week) delivered and recorded on Zoom, and 8 offline practice sessions completed on your own. The outcome and/or training tasks include physical, social, and cognitive elements, where you will learn and engage in activities that contribute to healthy and active aging. The entire process will take around 30 hours if you participate in all training, practice, and evaluation sessions. Our community partners include Cogniciti and CogniFit Research, which provide technical support in data collection and training tasks.
This study involves tasks that need to be completed online on your own computer, thus basic knowledge/skills in using computers and attending Zoom meetings is required. We will recruit 120 participants who meet the following criteria:
- Aged 65 or over with no mobility issues
- White Canadian citizen
- Can speak, read and write English
- Having access to a device that has internet and allows Zoom meeting attendance (Computer preferred)
Participation is completely voluntary and you can withdraw at any point. Participants will be compensated up to $60 as an honorarium. You will receive $15 for pretest, $15 each for posttest and 1-month follow-up, and a bonus of $15 for those who successfully complete all training/practice sessions. Given the group testing format, your participation is not anonymous. Any revealed personal identity will be kept confidential within the group/session, not shared outside, or in any presentations or publications. All research data will be de-identified, coded by subject numbers, saved in a passcode-protected Cognitive Aging Laboratory server at TMU, and only accessible to the research team.
If you have any questions, please email us at aging.cal@torontomu.ca, thank you!
To read or download the full consent form, please click here.