Abstract
Abstract Mobility features are important for health. In this study, we quantified in-home mobility and explored potential health and environmental correlates. Participants included community-dwelling older adults living alone (n=139). Two indoor mobility features were developed (frequency; interdaily stability) using passive, room-level (bathroom; bedroom; kitchen; living room) infrared motion sensors, and contact sensors attached to homes’ egress doors at entryways. Existing data on gait and cognition, weekly online surveys assessing mood (blueness; loneliness) and pain severity, and publicly available locality-based atmospheric (daylight hours) data were leveraged. On average, higher indoor mobility frequency was associated with faster gait speed (p=0.04), less time out-of-home (<.001), and less hours of daylight per week (p=0.003). Lower interdaily stability was associated with mild cognitive impairment (p=0.04), less time out-of-home (p=0.01), more severe pain (p=0.02), and loneliness (<.001). Pervasive sensing technology can be used to delineate multi-domain health in older adults who live alone.
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