Evidence map›Paper›PMID 29021950›Full record

ArticlePreventive medicine reports2017

Population levels of, and inequalities in, active travel: A national, cross-sectional study of adults in Scotland.

Jonathan R Olsen, Richard Mitchell, Nanette Mutrie, Louise Foley, David Ogilvie, M74 study

Abstract read
In one paragraph

Article in Preventive medicine reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. What Is the Best Practice Method for Quantifying the Health and Economic Benefits of Active Transport?International journal of environmental research and public health · 2020
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Individual Characteristics Associated with Active Travel in Low and High Income Groups in the UK.International journal of environmental research and public health · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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

6 authors.

Jonathan R OlsenMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, 200 Renfield Street, Glasgow G2 3QB, United Kingdom.
Richard MitchellMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, 200 Renfield Street, Glasgow G2 3QB, United Kingdom.
Nanette MutriePhysical Activity for Health Research Centre, University of Edinburgh, St Leonard's Land, Holyrood Road, Edinburgh EH8 8A, United Kingdom.
Louise FoleyMRC Epidemiology Unit & UKCRC Centre for Diet and Activity Research (CEDAR), School of Clinical Medicine, University of Cambridge, Box 285, Cambridge Biomedical Campus, Cambridge CB2 0QQ, United Kingdom.
David OgilvieMRC Epidemiology Unit & UKCRC Centre for Diet and Activity Research (CEDAR), School of Clinical Medicine, University of Cambridge, Box 285, Cambridge Biomedical Campus, Cambridge CB2 0QQ, United Kingdom.
M74 study

Funding

Department of Health 11/3005/07Medical Research Council MC_UU_12015/6Medical Research Council MC_UU_12017/10Medical Research Council MC_UU_12017/8Medical Research Council MR/K023187/1
6 · The paper itself

Abstract

This study aimed to describe active travel (walking or cycling) in Scotland and explore potential demographic, geographic, and socio-economic inequalities in active travel. We extracted data for the period 2012-13 (39,585 journey stages) from the Scottish Household Survey. Survey travel diaries recorded all journeys made on the previous day by sampled individuals aged 16 + living within Scotland, and the stages within each journey. Descriptive statistics were calculated for journey stages, mode, purpose and distance. Logistic regression models were fitted to examine the relationship between the likelihood of a journey stage being active, age, sex, area deprivation and urban/rural classification. A quarter of all journey stages were walked or cycled (26%, n: 10,280/39,585); 96% of these were walked. Those living in the least deprived areas travelled a greater average distance per active journey stage than those in the most deprived. The likelihood of an active journey stage was higher for those living in the most deprived areas than for those in the least deprived (Odds Ratio (OR) 1.21, 95% CI 1.04-1.41) and for those in younger compared to older age groups (OR 0.44, 95% CI 0.34-0.58). In conclusion, socio-economic inequalities in active travel were identified, but - contrary to the trends for many health-beneficial behaviours - with a greater likelihood of active travel in more deprived areas. This indicates a potential contribution to protecting and improving health for those whose health status tends to be worse. Walking was the most common mode of active travel, and should be promoted as much as cycling.

Indexed as

Active travelHealth inequalityPhysical activityRural areasUrban areas

Identifiers

PMID29021950
PMCPMC5633838

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.