Evidence map›Paper›PMID 26844140›Full record

ArticlePreventive medicine reports2015

Neighborhood walkability, fear and risk of falling and response to walking promotion: The Easy Steps to Health 12-month randomized controlled trial.

D Merom, K Gebel, P Fahey, T Astell-Burt, A Voukelatos, C Rissel, C Sherrington

Open access · goldAbstract read
In one paragraph

Article in Preventive medicine reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 pooled it
5.9field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 3 syntheses or guidelines pooled it, 39 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. 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
    Trial
  5. Trial
  6. Falls Risk in Relation to Activity Exposure in High-Risk Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2020
    Trial
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  16. Recommendations of Common Data Elements to Advance the Science of Self-Management of Chronic Conditions.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2016
    Article
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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

7 authors at 4 institutions in 1 country.

D MeromSchool of Science and Health, University of Western Sydney, Locked Bag 1797, Penrith NSW 2751, Australia.
K GebelCentre for Chronic Disease Prevention, College of Public Health, Medical & Veterinary Sciences, James Cook University, PO Box 6811, Cairns, QLD 4870, Australia.
P FaheySchool of Science and Health, University of Western Sydney, Locked Bag 1797, Penrith NSW 2751, Australia.
T Astell-BurtSchool of Science and Health, University of Western Sydney, Locked Bag 1797, Penrith NSW 2751, Australia.
A VoukelatosHealth Promotion Service, Sydney and South West Sydney Local Health District, Sydney, Camperdown, NSW 2050, Australia; School of Public Health and Community Medicine, University of NSW, Sydney, Australia.
C RisselSchool of Public Health, Level 6, Charles Perkins Centre, University of Sydney, Sydney, NSW 2006, Australia.
C SherringtonThe George Institute for Global Health, Sydney Medical School, University of Sydney, Level 13, 321, Kent St Sydney, NSW 2000, Australia.
Western Sydney University · AUThe University of Sydney · AUJames Cook University · AUSydney Local Health District · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In older adults the relationships between health, fall-related risk factors, perceived neighborhood walkability, walking behavior and intervention impacts are poorly understood. To determine whether: i) health and fall-related risk factors were associated with perceptions of neighborhood walkability; ii) perceived environmental attributes, and fall-related risk factors predicted change in walking behavior at 12 months; and iii) perceived environmental attributes and fall-related risk factors moderated the effect of a self-paced walking program on walking behavior. Randomized trial on walking and falls conducted between 2009 and 2012 involving 315 community-dwelling inactive adults ≥ 65 years living in Sydney, Australia. Measures were: mobility status, fall history, injurious fall and fear of falling (i.e., fall-related risk factors), health status, walking self-efficacy and 11 items from the neighborhood walkability scale and planned walking ≥ 150 min/week at 12 months. Participants with poorer mobility, fear of falling, and poor health perceived their surroundings as less walkable. Walking at 12 months was significantly greater in "less greenery" (AOR = 3.3, 95% CI: 1.11-9.98) and "high traffic" (AOR = 1.98, 95% CI: 1.00-3.91) neighborhoods. The intervention had greater effects in neighborhoods perceived to have poorer pedestrian infrastructure (p for interaction = 0.036). Low perceived walkability was shaped by health status and did not appear to be a barrier to walking behavior. There appears to be a greater impact of, and thus, need for, interventions to encourage walking in environments perceived not to have supportive walking infrastructure. Future studies on built environments and walking should gather information on fall-related risk factors to better understand how these characteristics interact.

Indexed as

FallNeighborhoodOlder adultsRandomized controlled trialWalkabilityWalking

Identifiers

PMID26844140
PMCPMC4721485
OpenAlexW2162728603

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.