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The proportion of youths’ physical inactivity attributable to neighbourhoodbuilt environment features

Overview of attention for article published in International Journal of Health Geographics, June 2013
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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 (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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Title
The proportion of youths’ physical inactivity attributable to neighbourhoodbuilt environment features
Published in
International Journal of Health Geographics, June 2013
DOI 10.1186/1476-072x-12-31
Pubmed ID
Authors

Rachel E Laxer, Ian Janssen

Abstract

OBJECTIVE: We investigated the independent association between several neighbourhood built environment features and physical inactivity within a national sample of Canadian youth, and estimated the proportion of inactivity within the population that was attributable to these built environment features. METHODS: This was a cross-sectional study of 6626 youth aged 11--15 years from 272 schools across Canada. Participants resided within 1 km of their school. Walkability, outdoor play areas (parks, wooded areas, yards at home, cul-de-sacs on roads), recreation facilities, and aesthetics were measured objectively within each school neighbourhood using geographic information systems. Physical inactivity (<5 days/week of 60 minutes of moderate-to-vigorous physical activity) was assessed by questionnaire. Multilevel logistic regression analyses, which controlled for several covariates, examined relationships between built environment features and physical inactivity. RESULTS: The final regression model indicated that, by comparison to youth living in the least walkable neighbourhoods, the risks for physical inactivity were 28-44% higher for youth living in neighbourhoods in the remaining three walkability quartiles. By comparison to youth living in neighbourhoods with the highest density of cul-de-sacs, risks for physical inactivity were 28-32% higher for youth living in neighbourhoods in the lowest two quartiles. By comparison to youth living in neighbourhoods with the least amount of park space, risks for physical inactivity were 28-37% higher for youth living in the neighbourhoods with a moderate to high (quartiles 2 and 3) park space. Population attributable risk estimates suggested that 23% of physical inactivity within the population was attributable to living in walkable neighbourhoods, 16% was attributable to living in neighbourhoods with a low density of cul-de-sacs, and 15% was attributable to living in neighbourhoods with a moderate to high amount of park space. CONCLUSIONS: Of the neighbourhood built environment exposure variables measured in this study, the three that were the most highly associated with inactivity were walkability, the density of cul-de-sacs, and park space. The association between some of these features and youths' activity levels were in the opposite direction to what has previously been reported in adults and younger children.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 3 2%
Germany 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Mexico 1 <1%
United States 1 <1%
Unknown 175 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 17%
Student > Master 30 16%
Researcher 28 15%
Student > Bachelor 15 8%
Student > Postgraduate 13 7%
Other 27 15%
Unknown 38 21%
Readers by discipline Count As %
Social Sciences 33 18%
Medicine and Dentistry 26 14%
Sports and Recreations 18 10%
Nursing and Health Professions 12 7%
Design 9 5%
Other 35 19%
Unknown 50 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 01 January 2014.
All research outputs
#2,811,217
of 25,373,627 outputs
Outputs from International Journal of Health Geographics
#93
of 654 outputs
Outputs of similar age
#23,627
of 209,354 outputs
Outputs of similar age from International Journal of Health Geographics
#3
of 11 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 654 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one has done well, scoring higher than 85% 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 209,354 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 88% of its contemporaries.
We're also able to compare this research output to 11 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 72% of its contemporaries.