Johanna Austin

A Smart-Home System to Unobtrusively and Continuously Assess Loneliness in Older Adults

Loneliness is a common condition in older adults and is associated with increased morbidity and mortality, decreased sleep quality, and increased risk of cognitive decline. Assessing loneliness in older adults is challenging due to the negative desirability biases associated with being lonely. Thus, it is necessary to develop more objective techniques to assess loneliness in older adults. In this paper, we describe a system to measure loneliness by assessing in-home behavior using wireless motion and contact sensors, phone monitors, and computer software as well as algorithms developed to assess key behaviors of interest. We then present results showing the accuracy of the system in detecting loneliness in a longitudinal study of 16 older adults who agreed to have the sensor platform installed in their own homes for up to 8 months. We show that loneliness is significantly associated with both time out-of-home (β = -0.88 andp <; 0.01) and number of computer sessions (β = 0.78 and p <; 0.05). R2 for the model was 0.35. We also show the models ability to predict out-of-sample loneliness, demonstrating that the correlation between true loneliness and predicted out-of-sample loneliness is 0.48. When compared with the University of California at Los Angeles loneliness score, the normalized mean absolute error of the predicted loneliness scores was 0.81 and the normalized root mean squared error was 0.91. These results represent first steps toward an unobtrusive, objective method for the prediction of loneliness among older adults, and mark the first time multiple objective behavioral measures that have been related to this key health outcome.Loneliness is a common condition in older adults and is associated with increased morbidity and mortality, decreased sleep quality, and increased risk of cognitive decline. Assessing loneliness in older adults is challenging due to the negative desirability biases associated with being lonely. Thus, it is necessary to develop more objective techniques to assess loneliness in older adults. In this paper, we describe a system to measure loneliness by assessing in-home behavior using wireless motion and contact sensors, phone monitors, and computer software as well as algorithms developed to assess key behaviors of interest. We then present results showing the accuracy of the system in detecting loneliness in a longitudinal study of 16 older adults who agreed to have the sensor platform installed in their own homes for up to 8 months. We show that loneliness is significantly associated with both time out-of-home (

ECOLOGICALLY VALID ASSESSMENT OF LIFE ACTIVITIES: UNOBTRUSIVE CONTINUOUS MONITORING WITH SENSORS

{\beta } = -0.88

COMPARING SLEEP AND ACTIVITY OUTCOMES IN INDIVIDUALS WITH ALZHEIMER’S DISEASE AND MILD COGNITIVE IMPAIRMENT USING ACTIGRAPHY

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Internet Searches and Their Relationship to Cognitive Function in Older Adults: Cross-Sectional Analysis

p ) and number of computer sessions (

EVALUATE-AD (ECOLOGICALLY VALID, AMBIENT, LONGITUDINAL AND UNBIASED ASSESSMENT OF TREATMENT EFFICACY IN ALZHEIMER’S DISEASE): A PRAGMATIC PROOF-OF-CONCEPT CLINICAL TRIAL

{\beta } = 0.78

Weekly observations of online survey metadata obtained through home computer use allow for detection of changes in everyday cognition before transition to mild cognitive impairment

and

Variability in medication taking is associated with cognitive performance in nondemented older adults

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PATTERNS OF HOME COMPUTER USE DIFFER OVER TIME BETWEEN OLDER ADULTS DESTINED TO DEVELOP MILD COGNITIVE IMPAIRMENT AND THOSE WHO REMAIN COGNITIVELY INTACT

R^{2}

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

for the model was 0.35. We also show the model’s ability to predict out-of-sample loneliness, demonstrating that the correlation between true loneliness and predicted out-of-sample loneliness is 0.48. When compared with the University of California at Los Angeles loneliness score, the normalized mean absolute error of the predicted loneliness scores was 0.81 and the normalized root mean squared error was 0.91. These results represent first steps toward an unobtrusive, objective method for the prediction of loneliness among older adults, and mark the first time multiple objective behavioral measures that have been related to this key health outcome.

ESTABLISHING OBJECTIVE BIOMARKERS RELATED TO TIME AND EFFORT RELATED TO CAREGIVING

not available. PL-05-02 NEXUS OFALZHEIMER’S AND CANCER Jane Ann Driver, Brigham and Women’s Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA. Contact e-mail: JDRIVER@ partners.org Abstract not available.not available. THURSDAY, JULY 28, 2016 ORAL SESSIONS O5-01 NEUROIMAGING: NEUROIMAGING CHANGES ASSOCIATED WITH APOE4 AND OTHER GENETIC LOCI O5-01-01 APOE E4 ALLELE EFFECT ON VASCULAR REACTIVITY MEASURED BY BREATH-HOLD ARTERIAL SPIN LABELING IN NORMAL AND MEMORY-IMPAIRED ADULTS Megan E. Johnston, Laura D. Baker, Suzanne Craft, Christopher T. Whitlow, Youngkyoo Jung, Wake Forest University Health Sciences, Winston Salem, NC, USA; 2 Wake Forest School of Medicine, Winston-Salem, NC, USA. Contact e-mail: megjohns@ wakehealth.edu Figure 1. Selection of slices from representative baseline and breath hold CBF maps Figure 2. Plot of Ab42 vs percent change in averaged GMCBFwith breathhold paradigm in APOE ε4 carriers adjusted for sex; adjusted R 1⁄4 0.224, P1⁄40.025 Podium Presentations: Thursday, July 28, 2016 P374