Overview
Digital sleep-wake cycle patterns measured with wearable accelerometers may help identify older adults at higher risk of dementia years before diagnosis. In this large cohort study, researchers examined whether movement-based measures of rest, activity timing, and sleep continuity were associated with future dementia and whether they added value to risk prediction models that already included age and established risk factors.
The findings suggest that certain disrupted daily activity and sleep patterns are linked to a higher chance of developing dementia. The added predictive value was modest but statistically significant, meaning these digital measures could become useful as part of broader risk assessment tools in the future.
