Evidence map›Paper›PMID 41263546›Full record

ArticleJournal of the American Geriatrics Society2026

Where Do Older Pedestrians Experience a Risk of Being Killed in a Motor Vehicle Crash?

Kathryn G Burford, Kathryn M Neckerman, James W Quinn, Michael D M Bader, Gina S Lovasi, Stephen J Mooney, Nicole G Itzkowitz, Dirk Kinsey, Andrew G Rundle

Abstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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.

Kathryn G BurfordDepartment of Parks, Recreation, and Tourism Management, College of Natural Resources, North Carolina State University, Raleigh, North Carolina, USA.ORCID 0000-0001-5500-9609
Kathryn M NeckermanColumbia Population Research Center, Columbia University, New York, New York, USA.
James W QuinnDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, New York, USA.
Michael D M BaderDepartment of Sociology, Johns Hopkins University, Baltimore, Maryland, USA.
Gina S LovasiDepartment of Epidemiology and Biostatistics, Drexel University, Philadelphia, Pennsylvania, USA.ORCID 0000-0003-2613-9599
Stephen J MooneyDepartment of Epidemiology, University of Washington, Seattle, Washington, USA.
Nicole G ItzkowitzDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, New York, USA.
Dirk KinseyDepartment of the Growth and Structure of Cities, Bryn Mawr College, Bryn Mawr, Pennsylvania, USA.
Andrew G RundleColumbia Population Research Center, Columbia University, New York, New York, USA.

Funding

Supplemental Training in Making Data FAIR and AI/ML ReadyT32ES007322 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Pam R Factor-Litvak, Allison Kupsco · 2000 to 2026
$12.1M
Identifying alcohol-related and built environment factors that can be modified to prevent pedestrian road traffic deathR01AA028552 · NIAAA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI RUNDLE, ANDREW G · 2021 to 2024
$2.6M
The Automatic Context Measurement Tool: bringing environmental data to non-specialistsR00LM012868 · NLM · UNIVERSITY OF WASHINGTON · PI MOONEY, STEPHEN JOHN · 2019 to 2021
$687k
National Institutes of Health, National Institute on Alcohol Abuse and Alcoholism R01AA028552NIAAA NIH HHS R01 AA028552NIEHS NIH HHS 5T32ES007322-21NIEHS NIH HHS T32 ES007322NLM NIH HHS R00 LM012868U.S. National Library of Medicine R00LM012868
6 · The paper itself

Abstract

backgroundPopulation-level interventions are needed to address the overrepresentation of older pedestrians in deaths from traffic crashes. Data are absent on whether specific publicly licensed or public establishments are associated with increased risk to older pedestrians, despite their attractiveness as partners for government efforts. We conducted a nationwide location-based case-control study to examine the associations between publicly licensed or public establishments of daily living for older adults and the location of pedestrian fatalities in motor vehicle crashes. We also assessed etiological heterogeneity by pedestrian age and time of day.

methodsBetween 2017 and 2018, there were 10,529 locations where a pedestrian was killed (case location) across the 380 Metropolitan Statistical Areas of the conterminous United States. For each case location two matched control locations were selected. The density of residential living facilities and walkable destinations for older adults was measured within a 1-km radial buffer of each location. Data were analyzed using conditional logistic regression models, adjusting for matching factors, neighborhood composition and walkability metrics.

resultsThere was a dose-response relationship between the density of older adult walkable destinations (hospitals, health care delivery venues, health services, pharmacies, senior centers, libraries, community centers) and location case-control status by age group of the fatally struck pedestrian. The strongest pattern was observed for the 65+ age group: Adjusted Odds Ratio (AOR) = 1.61 (95% CI: 1.26-2.06) for Q2; AOR = 2.58 for Q3 (95% CI: 1.99-3.34); and AOR = 3.44 for Q4 (95% CI = 2.61-4.52). Only among the age 50-64 and 65+ age groups was the highest category of density of residential facilities (assisted living facilities, skilled nursing facilities, continuing care retirement communities) associated with fatality location case-control status.

conclusionsFuture research might explore whether prioritizing traffic safety programs near destinations where older adults commonly frequent, such as medical centers, prevents older adult pedestrian fatalities.

Indexed as

Accidents, TrafficNeighborhood CharacteristicsPedestriansAgedAged, 80 and overCase-Control StudiesFemaleHumansMaleRisk FactorsUnited StatesWalkinggeriatricslocation‐based case–control studypedestrian fatalitypedestrian injurysenior

Identifiers

PMID41263546
PMCPMC12774300

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.