Current expert consensus statements generally suggest cardiovascular risk assessment, including atrial fibrillation (AF) screening, on detection of covert brain infarctions (CBIs). However, evidence to guide management of CBI remains limited. In the absence of randomised clinical trials specifically targeting CBI populations, observational studies comparing individuals with and without CBI can provide insights into the prevalence and burden of cardiovascular risk factors.

We aimed to compare the burden of atherosclerosis and cardiovascular risk factors in participants with CBI to those without, and to explore the yield of AF screening in individuals with CBI.

A prospective population-based birth cohort study including men and women born in 1950 and resident in Akershus County, Norway.

The two hospitals serving the population of Akershus county, Norway.

Participants included in the Akershus Cardiac Examination (ACE) 1950 study who also underwent a subsequent MRI examination were eligible for this study.

Cardiovascular risk assessment was performed at study inclusion (2012–2015). Carotid ultrasound was used to quantify atherosclerosis through a carotid plaque score, and CHA₂DS₂-VA and Systematic COronary Risk Evaluation 2 (SCORE2) scores were calculated to estimate cardiovascular risk. Brain MRI was performed in a randomly selected, blood pressure-stratified subset of participants (2016–2024). CBI was defined as focal lesions consistent with ischaemia in the absence of clinical stroke. Participants with CBI were offered 72-hour ambulatory ECG monitoring for AF detection.

MRI was performed in 414 of 3706 (11%) participants in the ACE 1950 Study. The mean age at the time of the MRI examination was 70.2±2.3 years, and 165 (41%) were women. CBI was identified in 54 participants (13%), of whom 45 (83%) completed 72-hour ambulatory ECG monitoring. There were no differences in mean carotid plaque score, SCORE2 or CHA₂DS₂-VA score between participants with CBI compared with those with normal MRI findings. AF was detected in one (2%) participant with CBI.

In this community-based cohort of individuals in late midlife, individuals with CBI did not have an increased cardiovascular risk compared with those without, as indicated by SCORE2, CHA₂DS₂-VA score, age-appropriate carotid plaque burden and a low prevalence of AF.

URL: https://www.clinicaltrials.gov. Unique identifier: NCT01555411.

The McMaster Monitoring My Mobility (MacM3) study aims to understand trajectories of mobility decline in later life using multisensor wearable technology. To our knowledge, MacM3 is the first major cohort to combine accelerometry and a Global Positioning System (GPS) to track real-world mobility in community-dwelling older adults.

Between May 2022 and May 2024, MacM3 recruited 1555 community-dwelling older adults (mean age 73.9 years, SD=5.5) from Hamilton and Toronto, Ontario. Of the cohort, 68.4% were female, 62.4% married/partnered, 75.3% had post-secondary education and 62.9% had≥3 comorbidities. Most were Canadian born (69.4%) and white/Caucasian (88.0%), with greater ethnocultural diversity observed at the Toronto site.

At baseline, 56.7% of participants reported no mobility limitations, 15.9% had preclinical limitations and 27.4% had minor mobility limitations. Mean gait speed for the total sample was 1.23 m/s, with a mean Timed Up and Go time of 9.4 s and a 5x sit-to-stand time of 13.0 s. A total of 1301 participants had valid wrist-worn device data, and 1008 participants who agreed to wear the thigh-worn device had valid data (≥7 days with ≥10 hours of wear per day). Step count data (n=1008) revealed a mean of 8437 steps per day (SD=2943), with 5073 steps in the lowest quartile and 12 303 steps in the highest.

Ongoing work aims to develop predictive models of mobility decline by integrating wearable, clinical and environmental data. Pipeline enhancements will enable GPS/inertial measurement unit fusion to explore mobility-environment interactions and support ageing-in-place tools.