Evidence map›Paper›PMID 36137460›Full record

ArticleJournal of the American Geriatrics Society2022

Epidemiology of public transportation use among older adults in the United States.

Afnan M Gimie, Andrea I Melgar Castillo, C Daniel Mullins, Jason R Falvey

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
14.8field-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

16 citing papers in PubMed, 40 citations in OpenAlex.

  1. Neighborhood Walkability Is Associated With Global Positioning System-Derived Community Mobility of Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
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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

4 authors at 1 institution in 1 country.

Afnan M GimieDepartment of Physical Therapy and Rehabilitation Science, University of Maryland School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0001-8009-792X
Andrea I Melgar CastilloDepartment of Pharmaceutical Health Services Research, University of Maryland School of Pharmacy, Baltimore, Maryland, USA.
C Daniel MullinsDepartment of Pharmaceutical Health Services Research, University of Maryland School of Pharmacy, Baltimore, Maryland, USA.
Jason R FalveyDepartment of Physical Therapy and Rehabilitation Science, University of Maryland School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-9063-0617
University of Maryland, Baltimore · US

Funding

The National Health and Trends StudyU01AG032947 · NIA · JOHNS HOPKINS UNIVERSITY · PI VICKI A. FREEDMAN, JENNIFER ANN SCHRACK · 2008 to 2026
$169.4M
QAQC Johns Hopkins Institute for Clinical and Translational ResearchUL1TR003098 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2019 to 2023
$57.7M
University of Maryland Claude D. Pepper Older Americans Independence Center (UM-OAIC)P30AG028747 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI Stephen L. Seliger · 2006 to 2026
$28.9M
The ENRICH Study: Engaging Community and Municipal Services to Promote High Quality Aging in Place After Hip FractureK76AG074926 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI FALVEY, JASON RAYMOND · 2021 to 2025
$1.4M
NCATS NIH HHS UL1 TR003098NIA NIH HHS K76 AG074926NIA NIH HHS P30 AG028747NIA NIH HHS U01 AG032947
6 · The paper itself

Abstract

backgroundAttending healthcare appointments and participating in social activities are important for older adults, but these activities are often limited by transportation barriers. Public transportation may bridge these gaps, but little is known about older public transportation users. This study compares the characteristics of older adults who use public transportation to those who do not.

designCross-sectional analysis of data from Round 5 of the National Health and Aging Trends Study (NHATS). We identified 5696 urban community dwelling older adults, and calculated national estimates of those who reported public transportation use in the last month and those who used transit to see their regular doctor. We evaluated the age and sex-adjusted associations between economic and clinical characteristics and recent use of public transportation using survey-weighted logistic regression.

resultsNearly 1 in 10 (n = 555/5696, weighted n = 3,122,583) urban-dwelling older adults in the United States reported use of public transportation in the last month, and over 20% of users (weighted n = 658,850) relied on transit to see their regular doctor. Compared to non-users, those who reported using transit were significantly more likely to be younger and identify as non-Hispanic Black or Hispanic. Financially strained older adults were more likely to have recently relied on public transportation (adjusted odds ratio [aOR] 1.62, 95% confidence interval [CI] 1.07-2.44), but frailty (aOR = 0.61, 95% CI 0.41-0.91) and living in an area with cracked or broken sidewalks (aOR = 0.35, 95% CI 0.27-0.46) were both associated with lower odds of public transportation use.

conclusionMore than 3 million older adults in the United States reported recently using public transportation, with over 600,000 relying on these services to visit their doctor. With increasing investment in public infrastructure on the horizon, centering the unique medical, economic, and social needs of older transit users is critical to ensure urban communities remain age-friendly.

Indexed as

Independent LivingTransportationAgedCross-Sectional StudiesDelivery of Health CareHispanic or LatinoHumansUnited Statesdisabilityolder adultsparticipationtransportation

Identifiers

PMID36137460
PMCPMC9771957
OpenAlexW4296794391

What OpenQuestion holds

Textmetadata
LicenceTDM
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.