Evidence map›Paper›PMID 36513122›Full record

ArticleArchives of physical medicine and rehabilitation2023

Mild Neurocognitive Disorder, Social Engagement, and Falls Among Older Primary Care Patients.

Lien T Quach, Mette M Pedersen, Elisa Ogawa, Rachel E Ward, David R Gagnon, Avron Spiro, Jeffrey A Burr, Jane A Driver, Michael Gaziano, Amar Dhand and 1 more

Open access · greenAbstract read
In one paragraph

Article in Archives of physical medicine and rehabilitation, 2023. 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
–field-weighted citation impact, top 74% 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, 0 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

11 authors at 5 institutions in 2 countries.

Lien T QuachMassachusetts Veterans Epidemiology and Research Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA; Department of Gerontology, University of Massachusetts Boston, Boston, MA; Medical Practice Evaluation Center and Center for Aging and Serious Illness, Mongan Institute, Department of Medicine, Massachusetts General Hospital, Boston, MA. Electronic address: Lien.Quach001@umb.edu.
Mette M PedersenDepartment of Clinical Research, Copenhagen University Hospital, Hvidovre, Denmark; Department of Clinical Medicine, University of Copenhagen, Denmark.
Elisa OgawaNew England Geriatric Research Education and Clinical Center, VA Boston Healthcare System, Boston, MA; Harvard Medical School, Boston, MA.
Rachel E WardMassachusetts Veterans Epidemiology and Research Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA; New England Geriatric Research Education and Clinical Center, VA Boston Healthcare System, Boston, MA; Harvard Medical School, Boston, MA.
David R GagnonDepartment of Gerontology, University of Massachusetts Boston, Boston, MA; Boston University, Boston, MA.
Avron SpiroMassachusetts Veterans Epidemiology and Research Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA; Boston University, Boston, MA.
Jeffrey A BurrDepartment of Gerontology, University of Massachusetts Boston, Boston, MA.
Jane A DriverNew England Geriatric Research Education and Clinical Center, VA Boston Healthcare System, Boston, MA; Harvard Medical School, Boston, MA; Brigham and Women's Hospital, Boston, MA; Geriatrics and Extended Care, VA Boston Healthcare System, Boston, MA.
Michael GazianoMassachusetts Veterans Epidemiology and Research Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA; Harvard Medical School, Boston, MA; Brigham and Women's Hospital, Boston, MA.
Amar DhandHarvard Medical School, Boston, MA; Brigham and Women's Hospital, Boston, MA.
Jonathan F BeanNew England Geriatric Research Education and Clinical Center, VA Boston Healthcare System, Boston, MA; Harvard Medical School, Boston, MA; Spaulding Rehabilitation Hospital, Boston, MA.
VA Boston Healthcare System · USHarvard University · USUniversity of Massachusetts Boston · USSpaulding Rehabilitation Hospital · USUniversity of Copenhagen · DK

Funding

TUFTS--FIELDINGP30AG031679 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI Ravi Jasuja · 2008 to 2026
$23.9M
Technique Development CoreP2CHD065702 · NICHD · UNIVERSITY OF TEXAS MED BR GALVESTON · PI GRAHAM, JAMES E. · 2015 to 2019
$5.2M
Center for Rehabilitation Research Using Large DatasetsR24HD065702 · NICHD · UNIVERSITY OF TEXAS MED BR GALVESTON · PI OTTENBACHER, KENNETH J. · 2010 to 2014
$4.0M
Developing Rehabilitative Strategies for Disability Prevention in Primary CareR01AG032052 · NIA · SPAULDING REHABILITATION HOSPITAL · PI BEAN, JONATHAN F · 2009 to 2013
$3.2M
A Research Mentoring Program in Geriatric Rehabilitative CareK24AG069176 · NIA · HARVARD MEDICAL SCHOOL · PI BEAN, JONATHAN F · 2020 to 2024
$661k
The Impact of Cognition on Rehabilitative Treatment for Slow Gait SpeedIK1RX003636 · VA · VA BOSTON HEALTH CARE SYSTEM · PI OGAWA, ELISA · 2022 to 2024
–
NIA NIH HHS K24 AG069176NIA NIH HHS P30 AG031679NIA NIH HHS R01 AG032052NICHD NIH HHS P2C HD065702NICHD NIH HHS R24 HD065702RRD VA IK1 RX003636
6 · The paper itself

Abstract

objectives(1) To estimate the association between social engagement (SE) and falls; (2) To examine the relation between mild neurocognitive disorder (MNCD) and falls by different levels of SE.

designWe performed a secondary data analysis using prospective cohort study design.

settingPrimary care.

participantsA total of 425 older adult primary care patients at risk for mobility decline (N=425). As previously reported, at baseline, 42% of participants exhibit MNCD.

main outcome measuresThe outcome variable was the number of falls during 2 years of follow-up. Exposure variables at baseline included (1) MNCD identified using a cut-off of 1.5 SD below the age-adjusted mean on at least 2 measures within a cognitive performance battery and (2) SE, which was assessed using the social component of the Late-Life Function and Disability Instrument. High SE was defined as having a score ≥ median value (≥49 out of 100). All models were adjusted for age, sex, education, marital status, comorbidities, and pain status.

resultsOver 2 years of follow-up, 48% of participants fell at least once. MNCD was associated with a higher rate of falls, adjusting for the covariates (Incidence Rate Ratio=1.6, 95% confidence interval: 1.1-2.3). There was no significant association between MNCD and the rate of falls among people with high SE. In participants with low SE (having a score less than 49.5 out 100), MNCD was associated with a higher rate of falls as compared with participants with no neurocognitive disorder (No-NCD).

conclusionsAmong participants with low SE, MNCD was associated with a higher rate of falls, but not among participants with high SE. The findings suggest that high SE may be protective against falls among older primary care patients with MNCD.

Indexed as

Accidental FallsSocial ParticipationAgedHumansNeurocognitive DisordersPrimary Health CareProspective StudiesFallsNeurocognitive disorderRehabilitationSocial engagementSocial participation

Identifiers

PMID36513122
PMCPMC10073260
OpenAlexW4311500599

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.