Evidence map›Paper›PMID 37231344›Full record

ArticleBMC geriatrics2023

Change in gait speed and fall risk among community-dwelling older adults with and without mild cognitive impairment: a retrospective cohort analysis.

Claire E Adam, Annette L Fitzpatrick, Cindy S Leary, Anjum Hajat, Sindana D Ilango, Christina Park, Elizabeth A Phelan, Erin O Semmens

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
41.6field-weighted citation impact, top 1% 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

42 citing papers in PubMed, 57 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

8 authors at 3 institutions in 1 country.

Claire E AdamSchool of Public and Community Health Sciences, University of Montana, Missoula, USA. claire.adam@umontana.edu.
Annette L FitzpatrickDepartment of Family Medicine, University of Washington, Seattle, USA.
Cindy S LearySchool of Public and Community Health Sciences, University of Montana, Missoula, USA.
Anjum HajatDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, USA.
Sindana D IlangoDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, USA.
Christina ParkDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, USA.
Elizabeth A PhelanDivision of Gerontology and Geriatric Medicine, University of Washington, Seattle, USA.
Erin O SemmensSchool of Public and Community Health Sciences, University of Montana, Missoula, USA.
University of Montana · USUniversity of Washington · USSeattle University · US

Funding

XENOBIOTIC BIOTRANSFORMATION AND DISPOSITIONP30ES007033 · NIEHS · UNIVERSITY OF WASHINGTON · PI Sheela Sathyanarayana · 1995 to 2026
$42.5M
GINKGO BILOBA PREVENTION TRIAL IN OLDER INDIVIDUALSU01AT000162 · NCCIH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LOPEZ, OSCAR L. · 1999 to 2009
$34.7M
Wildfires and Cardiovascular Health: Evaluating Associations and Intervention StrategiesP20GM130418 · NIGMS · UNIVERSITY OF MONTANA · PI Curtis William Noonan · 2020 to 2026
$17.9M
Biostatistics, Epidemiologic & Bioinformatic Training in Environmental HealthT32ES015459 · NIEHS · UNIVERSITY OF WASHINGTON · PI June T. Spector · 2009 to 2026
$10.6M
Air pollution, the social environment, and Alzheimer's disease: Risk and resilience in the Ginkgo Evaluation Memory StudyRF1AG057033 · NIA · UNIVERSITY OF WASHINGTON · PI FITZPATRICK, ANNETTE L., KAUFMAN, JOEL DANIEL · 2017 to 2017
$2.3M
NCCIH NIH HHS U01 AT000162NIA NIH HHS RF1 AG057033NIA NIH HHS RF1AG057033-01NIEHS NIH HHS 5T32ES015459NIEHS NIH HHS P30 ES007033NIEHS NIH HHS T32 ES015459NIGMS NIH HHS P20 GM130418NIGMS NIH HHS P20GM130418
6 · The paper itself

Abstract

backgroundAlthough slow gait speed is an established risk factor for falls, few studies have evaluated change in gait speed as a predictor of falls or considered variability in effects by cognitive status. Change in gait speed may be a more useful metric because of its potential to identify decline in function. In addition, older adults with mild cognitive impairment are at an elevated risk of falls. The purpose of this research was to quantify the association between 12-month change in gait speed and falls in the subsequent 6 months among older adults with and without mild cognitive impairment.

methodsFalls were self-reported every six months, and gait speed was ascertained annually among 2,776 participants in the Ginkgo Evaluation of Memory Study (2000-2008). Adjusted Cox proportional hazards models were used to estimate hazard ratios (HR) and 95% confidence intervals (CI) for fall risk relative to a 12-month change in gait speed.

resultsSlowing gait speed over 12 months was associated with increased risk of one or more falls (HR:1.13; 95% CI: 1.02 to 1.25) and multiple falls (HR:1.44; 95% CI: 1.18 to 1.75). Quickening gait speed was not associated with risk of one or more falls (HR 0.97; 95% CI: 0.87 to 1.08) or multiple falls (HR 1.04; 95% CI: 0.84 to 1.28), relative to those with a less than 0.10 m/s change in gait speed. Associations did not vary by cognitive status (p

conclusionsDecline in gait speed over 12 months is associated with an increased likelihood of falls among community-dwelling older adults, regardless of cognitive status. Routine checks of gait speed at outpatient visits may be warranted as a means to focus fall risk reduction efforts.

Indexed as

Cognitive DysfunctionIndependent LivingAgedCohort StudiesGaitHumansRetrospective StudiesWalking SpeedChange in gait speedFallsMild cognitive impairment

Identifiers

PMID37231344
PMCPMC10214622
OpenAlexW4378213113

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.