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Longitudinal associations between built environment characteristics and changes in active commuting

Overview of attention for article published in BMC Public Health, May 2017
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

twitter
40 tweeters
facebook
1 Facebook page

Citations

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12 Dimensions

Readers on

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67 Mendeley
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Title
Longitudinal associations between built environment characteristics and changes in active commuting
Published in
BMC Public Health, May 2017
DOI 10.1186/s12889-017-4396-3
Pubmed ID
Authors

Lin Yang, Simon Griffin, Kay-Tee Khaw, Nick Wareham, Jenna Panter

Abstract

Few studies have assessed the predictors of changes in commuting. This study investigated the associations between physical environmental characteristics and changes in active commuting. Adults from the population-based European Prospective Investigation into Cancer (EPIC)-Norfolk cohort self-reported commuting patterns in 2000 and 2007. Active commuters were defined as those who reported 'always' or 'usually' walking or cycling to work. Environmental attributes around the home and route were assessed using Geographical Information Systems. Associations between potential environmental predictors and uptake and maintenance of active commuting were modelled using logistic regression, adjusting for age, sex and BMI. Of the 2757 participants (62% female, median baseline age: 52, IQR: 50-56 years), most were passive commuters at baseline (76%, n = 2099) and did not change their usual commute mode over 7 years (82%, n = 2277). In multivariable regression models, participants living further from work were less likely to take up active commuting and those living in neighbourhoods with more streetlights were more likely to take up active commuting (both p < 0.05). Findings for maintenance were similar: participants living further from work (over 10 km, OR: 0.06; 95% CI: 0.25 to 0.13) and had a main or secondary road on route were more likely to maintain their active commuting (OR: 0.52; 95% CI: 0.28 to 0.98). Those living in neighbourhoods with greater density of employment locations were less likely to maintain their active commuting. Co-locating residential and employment centres as well as redesigning urban areas to improve safety for pedestrians and cyclists may encourage active commuting. Future evaluative studies should seek to assess the effects of redesigning the built environment on active commuting and physical activity.

Twitter Demographics

The data shown below were collected from the profiles of 40 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 66 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 28%
Student > Ph. D. Student 10 15%
Researcher 9 13%
Student > Bachelor 5 7%
Student > Doctoral Student 5 7%
Other 8 12%
Unknown 11 16%
Readers by discipline Count As %
Social Sciences 10 15%
Nursing and Health Professions 9 13%
Medicine and Dentistry 6 9%
Engineering 5 7%
Psychology 4 6%
Other 16 24%
Unknown 17 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 15 January 2018.
All research outputs
#831,789
of 15,427,132 outputs
Outputs from BMC Public Health
#885
of 10,658 outputs
Outputs of similar age
#23,878
of 267,383 outputs
Outputs of similar age from BMC Public Health
#1
of 27 outputs
Altmetric has tracked 15,427,132 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,658 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one has done particularly well, scoring higher than 91% 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 267,383 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.