Older Adults’ Daily Activity and Mood Changes Detected During the COVID-19 Pandemic Using Remote Unobtrusive Monitoring Technologies

Author:

Leese Mira I1ORCID,Bernstein John P K2,Dorociak Katherine E3,Mattek Nora45,Wu Chao-Yi45ORCID,Beattie Zachary45,Dodge Hiroko H45,Kaye Jeffrey45,Hughes Adriana M67

Affiliation:

1. Department of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, Illinois, USA

2. VA Boston Healthcare System, Boston, Massachusetts, USA

3. VA Palo Alto Health Care System, Palo Alto, California, USA

4. Oregon Center for Aging & Technology (ORCATECH), NIA-Layton Aging and Alzheimer’s Disease Center, Portland, USA

5. Department of Neurology and Department of Biomedical Engineering, Oregon Health & Science University, Portland, Oregon, USA

6. Department of Psychiatry, University of Minnesota, Minneapolis, Minnesota, USA

7. Minneapolis VA Health Care System, Minnesota, Minneapolis, USA

Abstract

Abstract Background and Objectives The coronavirus disease 2019 (COVID-19) pandemic has limited older adults’ access to in-person medical care, including screenings for cognitive and functional decline. Remote, technology-based tools have shown recent promise in assessing changes in older adults’ daily activities and mood, which may serve as indicators of underlying health-related changes (e.g., cognitive decline). This study examined changes in older adults’ driving, computer use, mood, and travel events prior to and following the COVID-19 emergency declaration using unobtrusive monitoring technologies and remote online surveys. As an exploratory aim, the impact of mild cognitive impairment (MCI) on these changes was assessed. Research Design and Methods Participants were 59 older adults (41 cognitively intact and 18 MCI) enrolled in a longitudinal aging study. Participants had their driving and computer use behaviors recorded over a 5-month period (75 days pre- and 76 days post-COVID emergency declaration) using unobtrusive technologies. Measures of mood, overnight guests, and frequency of overnight travel were also collected weekly via remote online survey. Results After adjusting for age, gender, and education, participants showed a significant decrease in daily driving distance, number of driving trips, highway driving, and nighttime driving, post-COVID-19 as compared to pre-COVID-19 (p < .001) based on generalized estimating equation models. Further, participants spent more time on the computer per day post-COVID-19 (p = .03). Participants endorsed increases in blue mood (p < .01) and loneliness (p < .001) and decreases in travel away from home and overnight visitors (p < .001) from pre- to post-COVID-19. Cognitive status did not impact these relationships. Discussion and Implications From pre- to post-COVID-19 emergency declaration, participants drove and traveled less, used their computer more, had fewer overnight visitors, and reported greater psychological distress. These results highlight the behavioral and psychological effects of stay-at-home orders on older adults who are cognitively intact and those with MCI.

Funder

National Institutes of Health

U.S. Department of Veterans Affairs Clinical Research and Development Service

Alzheimer’s Disease Research Center

Oregon Roybal Center for Care Support Translational Research Advantaged by Integrating Technology

Publisher

Oxford University Press (OUP)

Subject

Life-span and Life-course Studies,Health Professions (miscellaneous),Health (social science)

Reference32 articles.

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