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Could strength of exposure to the residential neighbourhood modify associations between walkability and physical activity?

Overview of attention for article published in Social Science & Medicine, October 2015
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  • Above-average Attention Score compared to outputs of the same age (63rd percentile)

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Article details
Title
Could strength of exposure to the residential neighbourhood modify associations between walkability and physical activity?
Published in
Social Science & Medicine, October 2015
DOI 10.1016/j.socscimed.2015.10.053
Pubmed ID
Authors
Abstract

The importance of neighbourhoods for health and wellbeing may vary according to an individual's reliance on their local resources, but this assertion is rarely tested. We investigate whether greater neighbourhood 'exposure' through reliance on or engagement with the residential setting magnifies neighbourhood-health associations. Three built environment characteristics (destination density, streetscape (attractiveness of built environment) and street connectivity) and two physical activity components (weekday and weekend accelerometer counts) were measured for 2033 residents living in 48 neighbourhoods within four New Zealand cities in 2009-2010, giving six different built environment-physical activity associations. Interactions for each built environment-physical activity association with four individual-level characteristics (acting as proxies for exposure: gender, working status, car access, and income) were assessed with multi-level regression models; a total of 24 'tests'. Of the 12 weekday built environment-physical activity tests, 5 interaction terms were significant (p < 0.05) in the expected direction (e.g. stronger streetscape-physical activity among those with restricted car access). For weekend tests, one association was statistically significant. No significant tests were contradictory. Pooled across the 12 weekday physical activity 'tests', a 1 standard deviation increase in the walkability of the built environment was associated with an overall 3.8% (95% CI: 3.6%-4.1%) greater increase in weekday physical activity across all the types of people we hypothesised to spend more time in their residential neighbourhood, and for weekend physical activity it was 4.2% (95% CI 3.9%-4.5%). Using multiple evaluation methods, interactions were in line with our hypothesis, with a stronger association seen for proxy exposure indicators (for example, restricted car access). Added to the wider evidence base, our study strengthens causal evidence of an effect of the built environment on physical activity, and highlights that health gains from improvements of the residential neighbourhood may be greater for some people.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
New Zealand 1 <1%
United Kingdom 1 <1%
Belgium 1 <1%
Unknown 163 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 28 17%
Researcher 27 16%
Student > Master 24 14%
Student > Bachelor 14 8%
Other 9 5%
Other 23 14%
Unknown 41 25%
Readers by discipline
Readers by discipline Count As %
Social Sciences 34 20%
Medicine and Dentistry 21 13%
Engineering 9 5%
Psychology 9 5%
Nursing and Health Professions 7 4%
Other 34 20%
Unknown 52 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 29 January 2016.
All research outputs
#11,126,782
of 32,775,379 outputs
Outputs from Social Science & Medicine
#8,307
of 13,619 outputs
Outputs of similar age
#108,635
of 313,227 outputs
Outputs of similar age from Social Science & Medicine
#105
of 141 outputs
Altmetric has tracked 32,775,379 research outputs across all sources so far. This one has received more attention than most of these and is in the 65th percentile.
So far Altmetric has tracked 13,619 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.2. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
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 313,227 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 141 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.