Evidence map›Paper›PMID 26044262›Full record

ArticleThe international journal of behavioral nutrition and physical activity2015

Are income-related differences in active travel associated with physical environmental characteristics? A multi-level ecological approach.

Esther Rind, Niamh Shortt, Richard Mitchell, Elizabeth A Richardson, Jamie Pearce

Open access · goldAbstract read
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
7.8field-weighted citation impact, top 4% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  4. Association of the built environments and health-related quality of life in community-dwelling older adults: a cross-sectional study.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2019
    Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Article
  10. 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

5 authors at 2 institutions in 1 country.

Esther RindCentre for Research on Environment, Society and Health (CRESH), Institute of Geography, School of GeoSciences, University of Edinburgh, Edinburgh, UK. e.rind@ed.ac.uk.
Niamh ShorttCentre for Research on Environment, Society and Health (CRESH), Institute of Geography, School of GeoSciences, University of Edinburgh, Edinburgh, UK. niamh.shortt@ed.ac.uk.
Richard MitchellCentre for Research on Environment, Society and Health (CRESH), Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK. Richard.Mitchell@glasgow.ac.uk.
Elizabeth A RichardsonCentre for Research on Environment, Society and Health (CRESH), Institute of Geography, School of GeoSciences, University of Edinburgh, Edinburgh, UK. e.richardson@ed.ac.uk.
Jamie PearceCentre for Research on Environment, Society and Health (CRESH), Institute of Geography, School of GeoSciences, University of Edinburgh, Edinburgh, UK. jamie.pearce@ed.ac.uk.
University of Edinburgh · GBUniversity of Glasgow · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRates of active travel vary by socio-economic position, with higher rates generally observed among less affluent populations. Aspects of both social and built environments have been shown to affect active travel, but little research has explored the influence of physical environmental characteristics, and less has examined whether physical environment affects socio-economic inequality in active travel. This study explored income-related differences in active travel in relation to multiple physical environmental characteristics including air pollution, climate and levels of green space, in urban areas across England. We hypothesised that any gradient in the relationship between income and active travel would be least pronounced in the least physically environmentally-deprived areas where higher income populations may be more likely to choose active transport as a means of travel.

methodsAdults aged 16+ living in urban areas (n = 20,146) were selected from the 2002 and 2003 waves of the UK National Travel Survey. The mode of all short non-recreational trips undertaken by the sample was identified (n = 205,673). Three-level binary logistic regression models were used to explore how associations between the trip being active (by bike/walking) and three income groups, varied by level of multiple physical environmental deprivation.

resultsLikelihood of making an active trip among the lowest income group appeared unaffected by physical environmental deprivation; 15.4% of their non-recreational trips were active in both the least and most environmentally-deprived areas. The income-related gradient in making active trips remained steep in the least environmentally-deprived areas because those in the highest income groups were markedly less likely to choose active travel when physical environment was 'good', compared to those on the lowest incomes (OR = 0.44, 95% CI = 0.22 to 0.89).

conclusionsThe socio-economic gradient in active travel seems independent of physical environmental characteristics. Whilst more affluent populations enjoy advantages on some health outcomes, they will still benefit from increasing their levels of physical activity through active travel. Benefits of active travel to the whole community would include reduced vehicle emissions, reduced carbon consumption, the preservation or enhancement of infrastructure and the presentation of a 'normalised' behaviour.

Indexed as

EnvironmentIncomeMotor ActivityTravelUrban PopulationAdolescentAdultAgedAir PollutionClimateEnglandFemaleHumansMaleMiddle AgedPoverty

Identifiers

PMID26044262
PMCPMC4461897
OpenAlexW1599069097

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.