Automated IADL Sensing to Refine Measurement of Older Adult Daily Activity

With declines in motor and cognitive function, even older adults living independently may be less efficient in performing daily activities, such as cooking and light housekeeping, which may signal an impending need for caregiver support and healthcare services. Clinicians currently lack automated tools for detecting early declines in daily activity. This research will assess the utility of motion sensors and computer vision assessment in detecting early deficits in the instrumental activities of daily living (IADL), in this case structured cooking and cleaning tasks performed in a standardized kitchen. Older adults with normal cognitive status and those with mild cognitive impairment will be recruited from a research registry to assess differences in performance.

Inclusion criteria

• Participant in University of Pittsburgh Pepper Center research registry
• Age 75+
• Female
• Residing in community
• Meets criteria for normal cognition or mild cognitive impairment on telephone screening (Memory Impairment Screen >= 5)
• Daily, independent performance of cooking and light cleaning tasks

Exclusion criteria

• Inability to provide informed consent
• Meets criteria for possible dementia (Memory Impairment Screen <= 4)
• Reports difficulty with activities of daily living (dressing, feeding oneself, using toilet, bathing)
• Uses mobility assistance device for indoor ambulation
• Medical conditions that may interfere with participation (e.g., severe untreated psychiatric disorders, unstable cardiovascular conditions, Parkinson's disease)
• Current participation in other interventional studies or clinical trials.