Evidence map›Paper›PMID 29020093›Full record

ArticlePloS one2017

A shift from motorised travel to active transport: What are the potential health gains for an Australian city?

Belen Zapata-Diomedi, Luke D Knibbs, Robert S Ware, Kristiann C Heesch, Marko Tainio, James Woodcock, J Lennert Veerman

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
9.6field-weighted citation impact, top 3% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.

  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. Modelling the potential health and economic benefits of reducing population sitting time in Australia.The international journal of behavioral nutrition and physical activity · 2022
    Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Does linear equating improve prediction in mapping? Crosswalking MacNew onto EQ-5D-5L value sets.The European journal of health economics : HEPAC : health economics in prevention and care · 2020
    Article
  13. Trends in Transportation Modes and Time among Chinese Population from 2002 to 2012.International journal of environmental research and public health · 2020
    Article
  14. Article
  15. Review
  16. Better transport accessibility, better health: a health economic impact assessment study for Melbourne, Australia.The international journal of behavioral nutrition and physical activity · 2019
    Article
  17. Article
  18. 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

7 authors at 4 institutions in 3 countries.

Belen Zapata-DiomediThe University of Queensland, School of Public Health, Brisbane, Queensland, Australia.ORCID http://orcid.org/0000-0002-9238-0375
Luke D KnibbsThe University of Queensland, School of Public Health, Brisbane, Queensland, Australia.
Robert S WareThe University of Queensland, School of Public Health, Brisbane, Queensland, Australia.
Kristiann C HeeschQueensland University of Technology, Institute of Health & Biomedical Innovation and the School of Public Health and Social Work, Brisbane, Queensland, Australia.
Marko TainioMRC Epidemiology Unit & UKCRC Centre for Diet and Activity Research (CEDAR), University of Cambridge School of Clinical Medicine, Cambridgeshire, Cambridge, United Kingdom.
James WoodcockMRC Epidemiology Unit & UKCRC Centre for Diet and Activity Research (CEDAR), University of Cambridge School of Clinical Medicine, Cambridgeshire, Cambridge, United Kingdom.
J Lennert VeermanThe University of Queensland, School of Public Health, Brisbane, Queensland, Australia.
The University of Queensland · AUUniversity of Cambridge · GBGriffith University · AUQueensland University of Technology · AU

Funding

Medical Research Council MR/K023187/1Wellcome Trust
6 · The paper itself

Abstract

introductionAn alarmingly high proportion of the Australian adult population does not meet national physical activity guidelines (57%). This is concerning because physical inactivity is a risk factor for several chronic diseases. In recent years, an increasing emphasis has been placed on the potential for transport and urban planning to contribute to increased physical activity via greater uptake of active transport (walking, cycling and public transport). In this study, we aimed to estimate the potential health gains and savings in health care costs of an Australian city achieving its stated travel targets for the use of active transport.

methodsAdditional active transport time was estimated for the hypothetical scenario of Brisbane (1.1 million population 2013) in Australia achieving specified travel targets. A multi-state life table model was used to estimate the number of health-adjusted life years, life-years, changes in the burden of diseases and injuries, and the health care costs associated with changes in physical activity, fine particle (<2.5 μm; PM2.5) exposure, and road trauma attributable to a shift from motorised travel to active transport. Sensitivity analyses were conducted to test alternative modelling assumptions.

resultsOver the life course of the Brisbane adult population in 2013 (860,000 persons), 33,000 health-adjusted life years could be gained if the travel targets were achieved by 2026. This was mainly due to lower risks of physical inactivity-related diseases, with life course reductions in prevalence and mortality risk in the range of 1.5%-6.0%. Prevalence and mortality of respiratory diseases increased slightly (≥0.27%) due to increased exposure of larger numbers of cyclists and pedestrians to fine particles. The burden of road trauma increased by 30% for mortality and 7% for years lived with disability. We calculated substantial net savings ($AU183 million, 2013 values) in health care costs.

conclusionIn cities, such as Brisbane, where over 80% of trips are made by private cars, shifts towards walking, cycling and public transport would cause substantial net health benefits and savings in health care costs. However, for such shifts to occur, investments are needed to ensure safe and convenient travel.

Indexed as

BicyclingCitiesMotor VehiclesPublic HealthTransportationTravelWalkingAdultAustraliaExerciseFemaleHealth Care CostsHumansMaleMarkov ChainsParticulate MatterParticulate Matter

Identifiers

PMID29020093
PMCPMC5636090
OpenAlexW2762387082

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.