Evidence map›Paper›PMID 34671706›Full record

ArticleInnovation in aging2021

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

Mira I Leese, John P K Bernstein, Katherine E Dorociak, Nora Mattek, Chao-Yi Wu, Zachary Beattie, Hiroko H Dodge, Jeffrey Kaye, Adriana M Hughes

Open access · goldAbstract read
In one paragraph

Article in Innovation in aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
5.7field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 1 country.

Mira I LeeseDepartment of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, Illinois, USA.ORCID https://orcid.org/0000-0003-3634-9848
John P K BernsteinVA Boston Healthcare System, Boston, Massachusetts, USA.
Katherine E DorociakVA Palo Alto Health Care System, Palo Alto, California, USA.
Nora MattekOregon Center for Aging & Technology (ORCATECH), NIA-Layton Aging and Alzheimer's Disease Center, Portland, USA.
Chao-Yi WuOregon Center for Aging & Technology (ORCATECH), NIA-Layton Aging and Alzheimer's Disease Center, Portland, USA.ORCID https://orcid.org/0000-0002-2187-6509
Zachary BeattieOregon Center for Aging & Technology (ORCATECH), NIA-Layton Aging and Alzheimer's Disease Center, Portland, USA.
Hiroko H DodgeOregon Center for Aging & Technology (ORCATECH), NIA-Layton Aging and Alzheimer's Disease Center, Portland, USA.
Jeffrey KayeOregon Center for Aging & Technology (ORCATECH), NIA-Layton Aging and Alzheimer's Disease Center, Portland, USA.
Adriana M HughesDepartment of Psychiatry, University of Minnesota, Minneapolis, Minnesota, USA.
Oregon Health & Science University · USRosalind Franklin University of Medicine and Science · USUniversity of Minnesota · USVA Boston Healthcare System · USVA Palo Alto Health Care System · US

Funding

Research Education ComponentP30AG066518 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI KEVIN M DUFF, Lisa C Silbert · 2020 to 2026
$28.6M
Outreach, Recruitment and Education CoreP30AG008017 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI WOLTJER, RANDALL L · 1990 to 2019
$27.7M
Pilot CoreP30AG024978 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI KAYE, JEFFREY A · 2004 to 2023
$9.0M
Unobtrusive remote monitoring to identify and track meaningful change in daily function in community dwelling older adults at risk for Alzheimer's diseaseR01AG058687 · NIA · UNIVERSITY OF MINNESOTA · PI HUGHES, ADRIANA · 2018 to 2022
$2.8M
CSRD VA I21 CX001669NIA NIH HHS P30 AG008017NIA NIH HHS P30 AG024978NIA NIH HHS P30 AG066518NIA NIH HHS R01 AG058687
6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe 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

methodsParticipants 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.

resultsAfter 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 ( 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.

Indexed as

Alzheimer’s diseaseCOVID-19Mild cognitive impairmentRemote monitoringTechnology

Identifiers

PMID34671706
PMCPMC8499772
OpenAlexW3193751328

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.