↓ Skip to main content

Designing programmes of physical activity through sport: learning from a widening participation intervention, ‘City of Football’

Overview of attention for article published in BMC Public Health, September 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

blogs
1 blog
twitter
5 X users

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
79 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
Designing programmes of physical activity through sport: learning from a widening participation intervention, ‘City of Football’
Published in
BMC Public Health, September 2018
DOI 10.1186/s12889-018-6049-6
Pubmed ID
Authors

Stephen Zwolinsky, Nicola Kime, Andy Pringle, Paul Widdop, Jim McKenna

Abstract

Implementation profoundly influences how well new audiences engage with sport-based physical activity programmes. Recognising that effective implementation relies on concurrently generating supportive contexts, systems and networks for the least engaged 'target' groups; this paper aims to address what underpins children's (non) engagement with football-based physical activity. An observational research design, using a non-probability sample of N = 594 primary and secondary schoolchildren assessed outcomes of a three-year 'City of Football' (CoF) programme. Pupils self-reported football participation, personal friendship networks and exposure to six concurrent sources of influence (SoI). A 2-step hierarchical cluster analysis and univariate analyses assessed between-cluster differences. Girls played football least regularly (χ2 [4] = 86.722, p = 0.000). Overall, participation was significantly associated with personal networks engaged in football. Boys' personal networks were more stable and structurally effective. Football participation was also positively and linearly association with SoI scores. Girls and pupils with no personal networks around football reported the lowest SoI scores. Three clusters emerged, dominated by social network influences. The Traditional Market (n = 157, 27.7%) comprised 81.7% boys; they regularly played football, had the most effective network structure and scored highly across all six domains of SoI. The Sporadically Engaging Socialisers (n = 190, 33.5%) comprised 52.9% girls who rarely played football, reported low SoI scores and an inferior network structure. In the Disconnected cluster (n = 220, 38.8%), 59.3% were non-footballing girls who reported the lowest motivation and ability SoI scores; and no personal networks engaged in football. This study reveals new insights about the primacy of social network effects for engaging children in football-based physical activity programmes. With little or no attention to these social-oriented issues, such interventions will struggle to attract 'target' children, but will readily engage already well-connected, experienced football-playing boys. The challenge for drawing non-footballing children into football-based interventions lies with engaging children - especially girls - whose social networks are not football-focused, while they also find football neither personally motivating nor easy to do.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 11 14%
Student > Master 8 10%
Researcher 6 8%
Student > Doctoral Student 6 8%
Student > Ph. D. Student 6 8%
Other 13 16%
Unknown 29 37%
Readers by discipline Count As %
Sports and Recreations 10 13%
Medicine and Dentistry 8 10%
Nursing and Health Professions 8 10%
Psychology 8 10%
Social Sciences 3 4%
Other 9 11%
Unknown 33 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 04 October 2018.
All research outputs
#3,458,305
of 23,881,329 outputs
Outputs from BMC Public Health
#3,956
of 15,466 outputs
Outputs of similar age
#70,951
of 343,400 outputs
Outputs of similar age from BMC Public Health
#69
of 222 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,466 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one has gotten more attention than average, scoring higher than 74% 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 343,400 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 79% of its contemporaries.
We're also able to compare this research output to 222 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 69% of its contemporaries.