Association between smartphone-based activity monitoring and traditional clinical assessment tools in community-dwelling older people

Smartphones are used in the framework of the FARSEEING-InChianti study to gain information on activities of daily living and define objective physical activity profiles. In this study we aimed to investigate the association between mean and extreme values of physical activity and gait characteristics derived from daily living activities and well-established clinical tools. 171 older adults from the InChianti cohort study were recruited. Factor analysis was performed to extract the underlying structure of physical activity and gait features for both mean and extreme values. Outcomes of the smartphone-based home monitoring are associated with clinical assessments. Extreme values seem to be more informative than the mean values and are more closely related with clinical assessments.