Evidence map›Paper›PMID 31314767›Full record

ArticlePloS one2019

Potential of active transport to improve health, reduce healthcare costs, and reduce greenhouse gas emissions: A modelling study.

Anja Mizdrak, Tony Blakely, Christine L Cleghorn, Linda J Cobiac

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
12.1field-weighted citation impact, top 2% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 89 citations in OpenAlex.

  1. Pooled it
  2. Article
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  4. Review
  5. Characteristics of Combined Movement Behavior Interventions in Children and Adolescents: A Scoping Review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
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  11. Impact of climate change on paediatric respiratory health: pollutants and aeroallergens.European respiratory review : an official journal of the European Respiratory Society · 2024
    Review
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  13. Advancing Population Health Through Open Environmental Data Platforms.Current topics in behavioral neurosciences · 2024
    Review
  14. Article
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  16. WalkRollMap.org: Crowdsourcing barriers to mobility.Frontiers in rehabilitation sciences · 2023
    Article
  17. Anatomical distribution of mandibular fractures from severe bicycling accidents: A 12-year experience from a Norwegian level 1 trauma center.Dental traumatology : official publication of International Association for Dental Traumatology · 2022
    Article
  18. 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

4 authors at 3 institutions in 3 countries.

Anja MizdrakBurden of Disease Epidemiology, Equity, and Cost-Effectiveness Programme, Department of Public Health, University of Otago (Wellington), Wellington, New Zealand.ORCID 0000-0002-2897-3002
Tony BlakelyBurden of Disease Epidemiology, Equity, and Cost-Effectiveness Programme, Department of Public Health, University of Otago (Wellington), Wellington, New Zealand.ORCID 0000-0002-6995-4369
Christine L CleghornBurden of Disease Epidemiology, Equity, and Cost-Effectiveness Programme, Department of Public Health, University of Otago (Wellington), Wellington, New Zealand.
Linda J CobiacCentre for Population Approaches to Non-Communicable Disease Prevention, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
University of Otago · NZThe University of Melbourne · AUUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysical inactivity contributes substantively to disease burden, especially in highly car dependent countries such as New Zealand (NZ). We aimed to quantify the future health gain, health-sector cost-savings, and change in greenhouse gas emissions that could be achieved by switching short vehicle trips to walking and cycling in New Zealand.

methodsWe used unit-level survey data to estimate changes in physical activity, distance travelled by mode, and air pollution for: (a) switching car trips under 1km to walking and (b) switching car trips under 5km to a mix of walking and cycling. We modelled uptake levels of 25%, 50%, and 100%, and assumed changes in transport behaviour were permanent. We then used multi-state life table modelling to quantify health impacts as quality adjusted life years (QALYs) gained and changes in health system costs over the rest of the life course of the NZ population alive in 2011 (n = 4.4 million), with 3% discounting.

findingsThe modelled scenarios resulted in health gains between 1.61 (95% uncertainty interval (UI) 1.35 to 1.89) and 25.43 (UI 20.20 to 30.58) QALYs/1000 people, with total QALYs up to 112,020 (UI 88,969 to 134,725) over the remaining lifespan. Healthcare cost savings ranged between NZ$127million (UI $101m to 157m) and NZ$2.1billion (UI $1.6b to 2.6b). Greenhouse gas emissions were reduced by up to 194kgCO2e/year, though changes in emissions were not significant under the walking scenario.

conclusionsSubstantial health gains and healthcare cost savings could be achieved by switching short car trips to walking and cycling. Implementing infrastructural improvements and interventions to encourage walking and cycling is likely to be a cost-effective way to improve population health, and may also reduce greenhouse gas emissions.

Indexed as

ExerciseGreenhouse GasesVehicle EmissionsAdolescentAdultAgedAir PollutionBicyclingFemaleHealth Care CostsHumansLife TablesMaleMiddle AgedNew ZealandQuality-Adjusted Life YearsGreenhouse GasesVehicle Emissions

Identifiers

PMID31314767
PMCPMC6636726
OpenAlexW2958382609

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.