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Decomposing socio-economic inequalities in leisure-time physical inactivity: the case of Spanish children

Overview of attention for article published in International Journal for Equity in Health, July 2016
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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 (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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1 news outlet
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3 X users

Citations

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25 Dimensions

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109 Mendeley
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Title
Decomposing socio-economic inequalities in leisure-time physical inactivity: the case of Spanish children
Published in
International Journal for Equity in Health, July 2016
DOI 10.1186/s12939-016-0394-9
Pubmed ID
Authors

Eduardo Gonzalo-Almorox, Rosa M. Urbanos-Garrido

Abstract

Physical inactivity is associated with an increased risk of all-cause mortality and entails a substantial economic burden for health systems. Also, the analysis of inequality in lifestyles for young populations may contribute to reduce health inequalities during adulthood. This paper examines the income-related inequality regarding leisure-time physical inactivity in Spanish children. In this cross-sectional study based on the Spanish National Health Survey for 2011-12, concentration indices are estimated to measure socioeconomic inequalities in leisure-time physical inactivity. A decomposition analysis is performed to determine the factors that explain income-related inequalities. There is a significant socioeconomic gradient favouring the better-off associated with leisure-time physical inactivity amongst Spanish children, which is more pronounced in the case of girls. Income shows the highest contribution to total inequality, followed by education of the head of the household. The contribution of several factors (education, place of residence, age) significantly differs by gender. There is an important inequity in the distribution of leisure-time physical inactivity. Public policies aimed at promoting physical activity for children should prioritize the action into the most disadvantaged subgroups of the population. As the influence of determinants of health styles significantly differ by gender, this study points out the need of addressing the research on income-related inequalities in health habits from a gender perspective.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 <1%
Unknown 108 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 21%
Student > Doctoral Student 13 12%
Student > Bachelor 10 9%
Researcher 5 5%
Student > Postgraduate 5 5%
Other 14 13%
Unknown 39 36%
Readers by discipline Count As %
Nursing and Health Professions 15 14%
Social Sciences 12 11%
Medicine and Dentistry 10 9%
Sports and Recreations 9 8%
Economics, Econometrics and Finance 8 7%
Other 13 12%
Unknown 42 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 08 September 2016.
All research outputs
#2,472,428
of 22,880,691 outputs
Outputs from International Journal for Equity in Health
#442
of 1,912 outputs
Outputs of similar age
#46,959
of 354,439 outputs
Outputs of similar age from International Journal for Equity in Health
#13
of 48 outputs
Altmetric has tracked 22,880,691 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 1,912 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has done well, scoring higher than 76% 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 354,439 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 86% of its contemporaries.
We're also able to compare this research output to 48 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.