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

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 acti...

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Autores principales: Leese, Mira I, Bernstein, John P K, Dorociak, Katherine E, Mattek, Nora, Wu, Chao-Yi, Beattie, Zachary, Dodge, Hiroko H, Kaye, Jeffrey, Hughes, Adriana M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8499772/
https://www.ncbi.nlm.nih.gov/pubmed/34671706
http://dx.doi.org/10.1093/geroni/igab032
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author Leese, Mira I
Bernstein, John P K
Dorociak, Katherine E
Mattek, Nora
Wu, Chao-Yi
Beattie, Zachary
Dodge, Hiroko H
Kaye, Jeffrey
Hughes, Adriana M
author_facet Leese, Mira I
Bernstein, John P K
Dorociak, Katherine E
Mattek, Nora
Wu, Chao-Yi
Beattie, Zachary
Dodge, Hiroko H
Kaye, Jeffrey
Hughes, Adriana M
author_sort Leese, Mira I
collection PubMed
description 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.
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spelling pubmed-84997722021-10-08 Older Adults’ Daily Activity and Mood Changes Detected During the COVID-19 Pandemic Using Remote Unobtrusive Monitoring Technologies Leese, Mira I Bernstein, John P K Dorociak, Katherine E Mattek, Nora Wu, Chao-Yi Beattie, Zachary Dodge, Hiroko H Kaye, Jeffrey Hughes, Adriana M Innov Aging Original Report 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. Oxford University Press 2021-08-21 /pmc/articles/PMC8499772/ /pubmed/34671706 http://dx.doi.org/10.1093/geroni/igab032 Text en Published by Oxford University Press on behalf of The Gerontological Society of America 2021. This work is written by (a) US Government employee(s) and is in the public domain in the US.
spellingShingle Original Report
Leese, Mira I
Bernstein, John P K
Dorociak, Katherine E
Mattek, Nora
Wu, Chao-Yi
Beattie, Zachary
Dodge, Hiroko H
Kaye, Jeffrey
Hughes, Adriana M
Older Adults’ Daily Activity and Mood Changes Detected During the COVID-19 Pandemic Using Remote Unobtrusive Monitoring Technologies
title Older Adults’ Daily Activity and Mood Changes Detected During the COVID-19 Pandemic Using Remote Unobtrusive Monitoring Technologies
title_full Older Adults’ Daily Activity and Mood Changes Detected During the COVID-19 Pandemic Using Remote Unobtrusive Monitoring Technologies
title_fullStr Older Adults’ Daily Activity and Mood Changes Detected During the COVID-19 Pandemic Using Remote Unobtrusive Monitoring Technologies
title_full_unstemmed Older Adults’ Daily Activity and Mood Changes Detected During the COVID-19 Pandemic Using Remote Unobtrusive Monitoring Technologies
title_short Older Adults’ Daily Activity and Mood Changes Detected During the COVID-19 Pandemic Using Remote Unobtrusive Monitoring Technologies
title_sort older adults’ daily activity and mood changes detected during the covid-19 pandemic using remote unobtrusive monitoring technologies
topic Original Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8499772/
https://www.ncbi.nlm.nih.gov/pubmed/34671706
http://dx.doi.org/10.1093/geroni/igab032
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