Article in Clinical gerontologist. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.4field-weighted citation impact, top 17% 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
2 citing papers in PubMed, 6 citations in OpenAlex.
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 3 institutions in 1 country.
Jack C LennonDivision of Mental Health & Clinical Neurosciences, Veterans Affairs Portland Health Care System, Portland, Oregon, USA.ORCID 0000-0002-8490-2807
Nathan HantkeDivision of Mental Health & Clinical Neurosciences, Veterans Affairs Portland Health Care System, Portland, Oregon, USA.ORCID 0000-0002-4261-8330
Nora MattekDepartment of Neurology, Oregon Health & Science University, Portland, Oregon, USA.ORCID 0000-0003-2623-1969
Chao-Yi WuDepartment of Neurology, Oregon Health & Science University, Portland, Oregon, USA.
Hiroko DodgeDepartment of Neurology, Oregon Health & Science University, Portland, Oregon, USA.
Rachel WallDepartment of Neurology, Oregon Health & Science University, Portland, Oregon, USA.
Zachary BeattieDepartment of Neurology, Oregon Health & Science University, Portland, Oregon, USA.
Jeffrey KayeDepartment of Neurology, Oregon Health & Science University, Portland, Oregon, USA.ORCID 0000-0002-9971-3478
Lisa C SilbertDepartment of Neurology, Oregon Health & Science University, Portland, Oregon, USA.
Oregon Health & Science University · USHarvard University · USVA Portland Health Care System · US
Funding
Oregon Clinical and Translational Research Institute - The National COVID Cohort Collaborative (N3C)UL1TR002369 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI Cynthia D Morris, Christopher G. Slatore · 2017 to 2026
$78.4M
SUPPLEMENT TO RUSH ALZHEIMERS DISEASE CENTER COREP30AG010161 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1991 to 2020
$49.1M
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 BEATTIE, ZACHARY · 1990 to 2019
$27.7M
ARMADA: Advancing Reliable Measurement in Alzheimer's Disease and cognitive Aging - Tech CoreU2CAG057441 · NIA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI GERSHON, RICHARD, WEINTRAUB, SANDRA · 2017 to 2019
$10.8M
Michigan Alzheimer's Disease Core CenterP30AG053760 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LIEBERMAN, ANDREW P · 2016 to 2020
$10.1M
Pilot CoreP30AG024978 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI KAYE, JEFFREY A · 2004 to 2023
$9.0M
Resource CoreU2CAG054397 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI KAYE, JEFFREY A · 2016 to 2019
$7.0M
Racial Differences in Late-Life Cognitive Decline and Risk of Alzheimer's DiseaseRF1AG022018 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BARNES, LISA L · 2016 to 2019
$6.6M
Conversational Engagement as a Means to Delay Onset AD: Phase II Administrative SupplementR01AG051628 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI DODGE, HIROKO HAYAMA · 2016 to 2020
$4.8M
Web-enabled social interaction to delay cognitive decline among seniors with MCI: Phase I Administrative SupplementR01AG056102 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI DODGE, HIROKO HAYAMA · 2017 to 2021
$4.6M
Lewy Body Dementia BiomarkersU01NS100611 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FREY, KIRK A. · 2016 to 2022
objectivesWe aimed to examine the impact of COVID-19 pandemic-related stay-at-home orders on weekly reports of mood and activity before and during COVID-19 in a sample of older Veterans and their cohabitants.
methodsUrban and rural Veterans and their cohabitants living in the Pacific Northwest ≥62 years old were enrolled as part of the Collaborative Aging Research Using Technology initiative (n = 100, age = 71.2 ± 6.5, 41% women). Participants reported frequency of social activities (e.g., travel away), physical illness, and mood (blue mood and loneliness) via weekly online health forms.
resultsA total of 2,441 weekly online health forms (OHFs) were collected from 100 participants. During the COVID-19 pandemic, blue mood (OR = 4.4,
conclusionsThe current study established that blue mood and loneliness were significantly more prevalent in older Veterans following COVID-19 stay-at-home orders regardless of rurality. CLINICAL IMPLICATIONS: The COVID-19 pandemic associated health precautions, while necessary to curb acute health risks, have created a unique situation that places vulnerable populations at increased risk of low mood.
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.
Mood and activity changes during the COVID-19 pandemic in rural and urban Veterans and their cohabitants. · full record | OpenQuestion