ABSTRACT Over 5.8 million Americans are living with Alzheimer's dementia, a disease with no effective treatment and no cure. Two-thirds of the caregivers for persons with dementia (PWD) are women (most often family) and a third are themselves over 65. Dementia takes a significant toll on caregivers, often resulting in chronic stress, depression, sleep disorders, poor health related quality of life (HRQOL), and early mortality due 24/7 care responsibility for PWD. Research has shown significant barriers to dementia care for underserved populations, including Latinos and Asian minorities. Underserved family caregivers for PWD tend to underutilize public health services available, and do not seek treatment until the situation is unmanageable with current resources reporting barriers that included language, time, and finances. Monitoring the caregiver's health and wellbeing is important as well as their maintaining a positive interaction with the PWD. Thus, there is a need for an innovative and feasible intervention to improve underserved caregiver's mental and physical health. Little research is reported for dementia caregiver interventions in underserved minorities and one given at home by community health workers (CHWs). The proposed intervention meets the needs of these family caregivers in developing a positive relationship with the PWD by educating caregivers to better understand the PWD's behaviors. Another component of the intervention is stress reduction techniques, including mindful deep breathing and compassionate support/listening to reduce depression and improve family relationships making the caregiving less burdensome. By monitoring the physiological responses of stress (i.e. heart rate variability), sleep and activity, we can objectively measure changes as a result of the intervention. Using Wearable Internet of Things (WIoT) technology, a combination of Watch/ring-Smartphone-Cloud, has proven to be a significant method of monitoring behavioral and physiological measures providing evidence of change over time and uniquely associated with this intervention. Our preliminary data show that the intervention with WIoT brought to the caregiver by CHW home visitors was acceptable to ethnic caregivers (Latino, Vietnamese, and Korean) and effective in reducing caregiver stress and burden over the short term. With the addition of non-Hispanic Whites, the proposed caregiver-centered, culturally and language appropriate, CHW home-visit-based 3-month intervention has 3 significant parts:1) stress reduction by mindful breathing and compassionate support/ listening to improve caregiver's health and well-being; 2) education on caregiving skills to improve responses to the PWD and in turn their behaviors; 3) WIoT physiological and behavioral monitoring. This 6-month randomized controlled trial will compare outcomes (burden, depression, HRQOL, PWD behaviors, caregiving self-efficacy) between the intervention, attention control with use of the WIoT only, and usual care groups at baseline, 3 months, and 6 months. This intervention using the CHW-model and WIOT technology has the potential to lessen health disparities in dementia caregiving in ethnic and underserved family caregivers.

PROJECT NARRATIVE The proposed study will test a 3-month, community health worker (CHW) delivered home visit, culturally and language-appropriate intervention for ethnic and underserved dementia family caregivers of persons with dementia (PWD) using wearable technology for real time monitoring of caregivers' stress and sleep. The CHW delivered home visit intervention includes stress reduction techniques by mindful deep breathing and compassionate support/listening and caregiving education to improve caregiver's health, wellbeing, and positive interactions with the PWD. This dementia caregiver study using wearable technology has the potential to significantly lessen health disparities in dementia care, assisting underserved ethnic dementia caregivers in self-management and increasing their quality of life.