Evidence map›Paper›PMID 31534906›Full record

ArticleJournal of transport & health2018

Can walking habits be encouraged through area-based regeneration and relocation? A longitudinal study of deprived communities in Glasgow, UK.

Abstract read
In one paragraph

Article in Journal of transport & health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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

0 authors.

Funding

Chief Scientist Office SPHSU10Medical Research Council MC_UU_12017/10
6 · The paper itself

Abstract

This paper examines changes to the walkability of the built environment and associated changes in walking behaviour following area regeneration or relocation in Glasgow, UK. The aim is to contribute to longitudinal evidence of links between the built environment and walking behaviour. Most studies to date have been cross-sectional and the evidence they provide that changing the built environment will lead to changes in walking behaviour is weak. Our study examines how changes in neighbourhood walkability influence levels of walking in the local area. We use household survey data from deprived neighbourhoods in Glasgow undergoing housing-led and area regeneration at two time points, 2011 and 2015. Measures of walkability were calculated for each year as a product of intersection density (connectivity) and dwelling density and attached to survey data. Relationships between changes in walkability and repeated measures of walking frequency are examined. We compare changes in walking between those who move house compared with those who experience changes to the built environment in their existing home location. Those who relocate ('movers') are more likely to increase their frequency of walking in the neighbourhood, but this is not necessarily as a result of changes in the built environment as measured using walkability metrics. Prior walking habits are a strong influence, with those who walk at baseline being more likely to increase their walking later. Environmental improvements through renewal programmes are often of insufficient quality or extent to stimulate increased walking. It is likely that area regeneration needs to be combined with people-based and social interventions to produce 'behavioural spillovers' that encourage walking habits.

Indexed as

longitudinal studyregenerationrelocationwalkabilitywalking behaviour

Identifiers

PMID31534906
PMCPMC6751076

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.