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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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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

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36 X users
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1 Facebook page

Citations

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32 Dimensions

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113 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.

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X Demographics

The data shown below were collected from the profiles of 36 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 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 112 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 17%
Researcher 16 14%
Student > Ph. D. Student 12 11%
Student > Bachelor 10 9%
Student > Doctoral Student 9 8%
Other 15 13%
Unknown 32 28%
Readers by discipline Count As %
Social Sciences 16 14%
Nursing and Health Professions 14 12%
Medicine and Dentistry 10 9%
Psychology 9 8%
Engineering 6 5%
Other 19 17%
Unknown 39 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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
#1,693,080
of 24,609,626 outputs
Outputs from BMC Public Health
#1,889
of 16,276 outputs
Outputs of similar age
#32,575
of 318,058 outputs
Outputs of similar age from BMC Public Health
#43
of 248 outputs
Altmetric has tracked 24,609,626 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,276 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done well, scoring higher than 88% 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 318,058 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 89% of its contemporaries.
We're also able to compare this research output to 248 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.