↓ Skip to main content

Active transport and obesity prevention – A transportation sector obesity impact scoping review and assessment for Melbourne, Australia

Overview of attention for article published in Preventive Medicine, December 2016
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

policy
2 policy sources
twitter
9 X users

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
109 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Active transport and obesity prevention – A transportation sector obesity impact scoping review and assessment for Melbourne, Australia
Published in
Preventive Medicine, December 2016
DOI 10.1016/j.ypmed.2016.12.020
Pubmed ID
Authors

V. Brown, M. Moodie, A.M. Mantilla Herrera, J.L. Veerman, R. Carter

Abstract

Given the alarming prevalence of obesity worldwide and the need for interventions to halt the growing epidemic, more evidence on the role and impact of transport interventions for obesity prevention is required.This study conducts a scoping review of the current evidence of association between modes of transport (motor vehicle, walking, cycling and public transport) and obesity-related outcomes.Eleven reviews and thirty-three primary studies exploring associations between transport behaviours and obesity were identified. Cohort simulation Markov modelling was used to estimate the effects of body mass index (BMI) change on health outcomes and health care costs of diseases causally related to obesity in the Melbourne, Australia population. Results suggest that evidence for an obesity effect of transport behaviours is inconclusive (29% of published studies reported expected associations, 33% mixed associations), and any potential BMI effect is likely to be relatively small. Hypothetical scenario analyses suggest that active transport interventions may contribute small but significant obesity-related health benefits across populations (approximately 65 health adjusted life years gained per year). Therefore active transport interventions that are low cost and targeted to those most amenable to modal switch are the most likely to be effective and cost-effective from an obesity prevention perspective. The uncertain but potentially significant opportunity for health benefits warrants the collection of more and better quality evidence to fully understand the potential relationships between transport behaviours and obesity. Such evidence would contribute to the obesity prevention dialogue and inform policy across the transportation, health and environmental sectors.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 109 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 21%
Researcher 16 15%
Student > Bachelor 10 9%
Student > Ph. D. Student 8 7%
Other 5 5%
Other 15 14%
Unknown 32 29%
Readers by discipline Count As %
Nursing and Health Professions 14 13%
Medicine and Dentistry 12 11%
Engineering 11 10%
Social Sciences 10 9%
Sports and Recreations 8 7%
Other 20 18%
Unknown 34 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 October 2022.
All research outputs
#3,253,957
of 25,374,647 outputs
Outputs from Preventive Medicine
#1,373
of 5,009 outputs
Outputs of similar age
#61,018
of 422,898 outputs
Outputs of similar age from Preventive Medicine
#29
of 69 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,009 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.5. This one has gotten more attention than average, scoring higher than 72% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 422,898 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.