Weekly Lifelog as Predictors of Frailty: Insights from Wearable Sensor Data and Multivariate Analysis in Swing Japan...

Frailty significantly impacts the activities of daily living in older adults, and recent advancements in wearable healthcare technologies provide the potential to monitor or predict frailty through lifelog. This pioneering cross-sectional study investigates weekly lifelog to identify predictors for frailty items based on the revised Japanese version of the Cardiovascular Health Study criteria. Using smart wearable sensors, we monitored the lifelog of 539 participants aged 65 years or older. Our analysis focused on differentiating frailty items, including slowness, weakness, exhaustion, shrinking, and low activities, by categorizing daily data into a weekly cycle and employing principal component analysis to detect differences. The result showed significant predictors, such as gait speed and energy expenditure, linking these metrics to frailty. Key findings revealed that incorporating weekly lifelogs can enhance frailty prediction compared to the traditional approach of considering the entire period. This study underscores the importance of including temporal factors in frailty assessments, establishing a basis for future research using wearable technologies to refine predictions and interventions.