Evidence map›Paper›PMID 35471695›Full record

ArticleAging clinical and experimental research2022

Prior psychosocial profile and perceived impact of the COVID-19 pandemic: insights from the Baltimore Longitudinal Study of Aging.

Ann Zenobia Moore, Pei-Lun Kuo, Toshiko Tanaka, Eric J Shiroma, Chee W Chia, Qu Tian, Giovanna Fantoni, Melissa Kitner-Triolo, Chad Blackshear, Michael Griswold and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Aging clinical and experimental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

14 authors at 2 institutions in 1 country.

Ann Zenobia Moore *Translational Gerontology Branch, National Institute on Aging, NIH, Baltimore, MD, USA. mooreaz@mail.nih.gov.ORCID http://orcid.org/0000-0002-1471-4253
Pei-Lun Kuo *Translational Gerontology Branch, National Institute on Aging, NIH, Baltimore, MD, USA.
Toshiko Tanaka *Translational Gerontology Branch, National Institute on Aging, NIH, Baltimore, MD, USA.
Eric J ShiromaLaboratory of Epidemiology and Population Science, National Institute on Aging, NIH, Bethesda, MD, USA.
Chee W ChiaLaboratory of Clinical Investigation, National Institute on Aging, NIH, Bethesda, MD, USA.
Qu TianTranslational Gerontology Branch, National Institute on Aging, NIH, Baltimore, MD, USA.
Giovanna FantoniLaboratory of Clinical Investigation, National Institute on Aging, NIH, Bethesda, MD, USA.
Melissa Kitner-TrioloLaboratory of Behavioral Neuroscience, National Institute on Aging, NIH, Bethesda, MD, USA.
Chad BlackshearDepartment of Data Science, University of Mississippi Medical Center, Jackson, MS, USA.
Michael GriswoldDepartment of Data Science, University of Mississippi Medical Center, Jackson, MS, USA.
Linda M ZukleyClinical Research Core, National Institute on Aging, NIH, Bethesda, MD, USA.
Susan M Resnick *Laboratory of Behavioral Neuroscience, National Institute on Aging, NIH, Bethesda, MD, USA.
Luigi Ferrucci *Translational Gerontology Branch, National Institute on Aging, NIH, Baltimore, MD, USA.
Eleanor M Simonsick *Translational Gerontology Branch, National Institute on Aging, NIH, Baltimore, MD, USA.
National Institute on Aging · USJackson Memorial Hospital · US

Funding

The Baltimore Longitudinal Study Of AgingZIAAG000015 · NIA · NATIONAL INSTITUTE ON AGING · PI SIMONSICK, ELEANOR MARIE · 2009 to 2025
$116.9M
Early Markers of Alzheimer DiseaseZIAAG000185 · NIA · NATIONAL INSTITUTE ON AGING · PI WALKER, KEENAN · 2009 to 2025
$20.4M
Building the Infrastructure for BLSA Data Management, Documentation, and Sharing (Alzheimer's Disease Concept)ZIAAG000775 · NIA · NATIONAL INSTITUTE ON AGING · PI FERRUCCI, LUIGI · 2018 to 2022
$382k
6 · The paper itself

Abstract

Stress, social isolation, and changes in health behaviors during the COVID-19 pandemic period may have a lasting influence on health. Here, the correlation between current or prior demographic, social and health related characteristics, including psychosocial factors with perceived impact of the COVID-19 pandemic assessed by questionnaire during the early pandemic period is evaluated among 770 participants of the Baltimore Longitudinal Study of Aging. In multinomial logistic regression models participants with higher pre-pandemic personal mastery, a construct related to self-efficacy, were more likely to report "both positive and negative" impact of the pandemic than a solely "negative" impact (OR: 2.17, 95% CI: 1.29-3.65). Higher perceived stress and frequent contact with family prior to the pandemic were also associated with pandemic impact. These observations highlight the relevance of psychosocial factors in the COVID-19 pandemic experience and identify characteristics that may inform interventions in future public health crises.

Indexed as

COVID-19AgingBaltimoreHumansLongitudinal StudiesPandemicsCOVID-19Pandemic experiencePerceived stressPersonal mastery

Identifiers

PMID35471695
PMCPMC9039603
OpenAlexW4224942189

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.