Evidence map›Paper›PMID 35027016›Full record

ArticleBMC public health2022

Developing indicators of age-friendly neighbourhood environments for urban and rural communities across 20 low-, middle-, and high-income countries.

Emily J Rugel, Clara K Chow, Daniel J Corsi, Perry Hystad, Sumathy Rangarajan, Salim Yusuf, Scott A Lear

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.4field-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

7 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
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  5. Mapping the Vulnerability of Older-Adult Neighborhoods: An Ecological Study of New York State.International journal of environmental research and public health · 2025
    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 6 institutions in 3 countries.

Emily J RugelFaculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada. emilyrugel@gmail.com.
Clara K ChowWestmead Applied Research Centre (WARC), Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Daniel J CorsiSchool of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada.
Perry HystadCollege of Public Health and Human Sciences, Oregon State University, Corvallis Oregon, USA.
Sumathy RangarajanPopulation Health Research Institute, Hamilton, ON, Canada.
Salim YusufPopulation Health Research Institute, Hamilton, ON, Canada.
Scott A LearFaculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada.
Hamilton Health Sciences · CAOregon State University · USSimon Fraser University · CASt. Paul's Hospital · CAUniversity of Ottawa · CAUniversity of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBy 2050, the global population of adults 60 + will reach 2.1 billion, surging fastest in low- and middle-income countries (LMIC). In response, the World Health Organization (WHO) has developed indicators of age-friendly urban environments, but these criteria have been challenging to apply in rural areas and LMIC. This study fills this gap by adapting the WHO indicators to such settings and assessing variation in their availability by community-level urbanness and country-level income.

methodsWe used data from the Prospective Urban and Rural Epidemiology (PURE) study's environmental-assessment tools, which integrated systematic social observation and ecometrics to reliably capture community-level environmental features associated with cardiovascular-disease risk factors. The results of a scoping review guided selection of 18 individual indicators across six distinct domains, with data available for 496 communities in 20 countries, including 382 communities (77%) in LMIC. Finally, we used both factor analysis of mixed data (FAMD) and multitrait-multimethod (MTMM) approaches to describe relationships between indicators and domains, as well as detailing the extent to which these relationships held true within groups defined by urbanness and income.

resultsTogether, the results of the FAMD and MTMM approaches indicated substantial variation in the relationship of individual indicators to each other and to broader domains, arguing against the development of an overall score and extending prior evidence demonstrating the need to adapt the WHO framework to the local context. Communities in high-income countries generally ranked higher across the set of indicators, but regular connections to neighbouring towns via bus (95%) and train access (76%) were most common in low-income countries. The greatest amount of variation by urbanness was seen in the number of streetscape-greenery elements (33 such elements in rural areas vs. 55 in urban), presence of traffic lights (18% vs. 67%), and home-internet availability (25% vs. 54%).

conclusionsThis study indicates the extent to which environmental supports for healthy ageing may be less readily available to older adults residing in rural areas and LMIC and augments calls to tailor WHO's existing indicators to a broader range of communities in order to achieve a critical aspect of distributional equity in an ageing world.

Indexed as

Developing CountriesRural PopulationAgedDeveloped CountriesHumansIncomeProspective StudiesGreen space; Walkability; Transportation access; Community health services; Social participation; Healthy ageing; Methodological study design; International collaboration

Identifiers

PMID35027016
PMCPMC8759164
OpenAlexW4205107877

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.