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Physical inactivity as a policy problem: applying a concept from policy analysis to a public health issue

Overview of attention for article published in Health Research Policy and Systems, March 2013
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
16 X users

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
142 Mendeley
citeulike
1 CiteULike
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Title
Physical inactivity as a policy problem: applying a concept from policy analysis to a public health issue
Published in
Health Research Policy and Systems, March 2013
DOI 10.1186/1478-4505-11-9
Pubmed ID
Authors

Alfred Rütten, Karim Abu-Omar, Peter Gelius, Diana Schow

Abstract

Despite the recent rapid development of policies to counteract physical inactivity (PI), only a small number of systematic analyses on the evolution of these policies exists. In this article we analyze how PI, as a public health issue, "translates" into a policy-making issue. First, we discuss why PI has become an increasingly important public health issue during the last two decades. We then follow Guy Peters and conceptualize PI as a "policy problem" that has the potential to be linked to policy instruments and policy impact. Analysis indicates that PI is a policy problem that i) is chronic in nature; ii) involves a high degree of political complexity; iii) can be disaggregated into smaller scales; iv) is addressed through interventions that can be difficult to "sell" to the public when their benefits are not highly divisible; v) cannot be solved by government spending alone; vi) must be addressed through a broad scope of activities; and vii) involves interdependencies among both multiple sectors and levels of government.We conclude that the new perspective on PI proposed in this article might be useful and important for i) describing and mapping policies to counteract PI in different contexts; ii) evaluating whether or not existing policy instruments are appropriate to the policy problem of PI, and iii) explaining the factors and processes that underlie policy development and implementation. More research is warranted in all these areas. In particular, we propose to focus on comparative analyses of how the problem of PI is defined and tackled in different contexts, and on the identification of truly effective policy instruments that are designed to "solve" the PI policy problem.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 2%
France 1 <1%
Germany 1 <1%
New Zealand 1 <1%
United States 1 <1%
Unknown 135 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 30 21%
Student > Ph. D. Student 20 14%
Researcher 17 12%
Other 11 8%
Student > Bachelor 10 7%
Other 24 17%
Unknown 30 21%
Readers by discipline Count As %
Medicine and Dentistry 27 19%
Sports and Recreations 25 18%
Social Sciences 21 15%
Nursing and Health Professions 18 13%
Business, Management and Accounting 5 4%
Other 15 11%
Unknown 31 22%
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 December 2022.
All research outputs
#1,769,609
of 25,002,204 outputs
Outputs from Health Research Policy and Systems
#207
of 1,352 outputs
Outputs of similar age
#13,556
of 199,985 outputs
Outputs of similar age from Health Research Policy and Systems
#2
of 10 outputs
Altmetric has tracked 25,002,204 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,352 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. This one has done well, scoring higher than 84% 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 199,985 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 93% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.