GSA 2019 Annual Scientific Meeting WALKABLE NEIGHBORHOODS AND BRAIN HEALTH IN LATER LIFE: A SCOPING REVIEW Boeun Kim 1 , 1. University of Washington, Seattle, Washington, United States Brain health is critical in independent living and well-being in later life. There have been growing inter- ests in investigating the role of walkable neighborhoods in brain health. The purpose of this scoping review was to understand the infuence of walkable neighborhoods on cognitive outcomes in older adults. The physical features of walkable neighborhoods and their measurements were examined. Database search identifed 2957 peer-reviewed articles and eight studies (2012-2018) met inclusion cri- teria. Community facilities and land-use mix were consist- ently associated with cognitive outcomes across studies. The measures of walkable neighborhoods were under de- velopment and the measurement properties were not re- ported in most studies. Further research on the defnition of walkable neighborhoods that accounts specifcally for older adults with/without cognitive impairment is needed. Additionally, more rigorous, valid, reliable standardized instruments for measuring walkable neighborhoods, as well as a standard for evaluating the quality of instruments are warranted. SESSION 3120 (SYMPOSIUM) THE TIPPING POINT STUDY: DIGITAL DETECTION AND DECISION SUPPORT FOR OLDER ADULTS AND FAMILIES Chair: Kimberly D. Shea, University of Arizona, Tucson, Arizona, United States Co-Chair: Kimberly D. Shea, University of Arizona, Tucson, Arizona, United States In 10 years, the United States will experience a “depend- ency” ratio of one working age adult (20-64 years old) to one non-working person (> 65 or 85 years old will comprise 19 million of the non-working people (US Census Bureau, 2008). Busy working adults will have to be vigilant to deter- mine when to make life-changing decisions about health and safety issues for people that depend on them. Older adults have gradual and cumulative physical and/or psychological aging changes or can experience signifcant events. Knowing when to make a life-changing decision, such as when to inter- vene with independent living due to safety risks, is diffcult even when situations have constant vigilance. Eventually, older adults experience a seemingly abrupt, sudden and ab- solute point where a life changing decision must be made. This is the Tipping Point. Health data, derived from unob- trusive wearable sensors, are algorithmically synthesized to provide critical information on impending concerns via an electronic portal will help the busy working adult to predict and prevent the Tipping Point. This application of precision health care results in targeted and personalized education thus avoiding a potentially catastrophic Tipping Point. This symposium provides insight into fve aspects of the Tipping Point: 1) signifcance of identifcation, 2) theoretical founda- tion for environmental and cultural sensitivity, 3) feasibility outcomes from a Mexican American population, 4) method- ology for synthesizing quantitative metrics from multivariate streams of data, 5) creation of a culturally sensitive electronic portal to display predictive information and education about consequences LAWTON’S THEORY OF PERSON-ENVIRONMENT FIT: THEORETICAL FOUNDATIONS FOR DETECTING TIPPING POINTS Janice D. Crist, 1 Cheryl Lacasse, 2 Linda R. Phillips, 3 and Jian Liu 4 , 1. University of Arizona, Tucson, Arizona, United States, 2. College of Nursing, The University of Arizona, Tucson, Arizona, United States, 3. Arizona Center on Aging, Tucson, Arizona, United States, 4. Department of Systems and Industrial Engineering , The University of Arizona, Tucson, Arizona, United States Caregiving families often experience “tipping points,” changes that forever alter their lives, such as a fall with a fractured femur. Tipping points for older adults can be con- ceptualized as an interaction between individuals and their environments. According to Lawton’s theory of person- environment ft (Lawton, 1983, 1985), physical and social environments and the person’s behavior are shaped by one another in a dynamic, ever-changing process. For older adults, the relationship between “environmental press,” or the mismatch between the person and his/her environment, and adaptation to that environment is mediated through one’s ability to cope. When stressors in health, cognition, or caregiver availability occur, environmental press may heighten, leading to a tipping point. In this paper the au- thors clarify how environmental press theory provides a foundation for studying early detection of impending tip- ping points and facilitating decisional support of families for choosing the right long-term support services at the right time. TIPPING POINTS PILOT STUDY: WEARABLE DEVICES AND ALGORITHMS Rachel L. Peterson, 1 Kim Shea, 2 Kayla Luque, 2 Jessica Powell, 2 Jian Liu, 3 and Janice crist 2 , 1. University of Arizona Center on Aging, Tucson, Arizona, United States, 2. University of Arizona College of Nursing, Tucson, Arizona, United States, 3. University of Arizona College of Engineering, Tucson, Arizona, United States Little is known about the use and acceptability of ftness watches (e.g. Fitbit) by diverse older adults, or how data from affordable (<$40) devices could be triangulated with self- report data to predict adverse health outcomes. We investi- gated interest and acceptability of ftness watch technology among Mexican American older adults via a week-long trial. Participants were asked to consistently wear the watches and complete daily diaries of activity, questionnaires, and a semi-structured interview. The watch data was triangulated with data from the daily diaries and questionnaires to val- idate its usefulness in developing algorithms that could de- tect important physiological transitions that lead to tipping points. Interview data was qualitatively analyzed and coded for barriers and facilitators of watch use and acceptability. Preliminary results suggest that participants are eager and willing to wear a ftness device. Participants reported interest in monitoring their health and using the device to track and improve physical activity. Innovation in Aging, 2019, Vol. 3, No. S1 597 Downloaded from https://academic.oup.com/innovateage/article-abstract/3/Supplement_1/S597/5616572 by guest on 09 June 2020