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Informal employment, unpaid care work, and health status in Spanish-speaking Central American countries: a gender-based approach

Overview of attention for article published in International Journal of Public Health, August 2016
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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 (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

news
1 news outlet
twitter
3 X users
facebook
1 Facebook page

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
130 Mendeley
Title
Informal employment, unpaid care work, and health status in Spanish-speaking Central American countries: a gender-based approach
Published in
International Journal of Public Health, August 2016
DOI 10.1007/s00038-016-0871-3
Pubmed ID
Authors

María Lopez-Ruiz, Fernando G. Benavides, Alejandra Vives, Lucía Artazcoz

Abstract

To assess the relationship between paid work, family characteristics and health status in Central American workers; and to examine whether patterns of association differ by gender and informal or formal employment. Cross-sectional study of 8680 non-agricultural workers, based on the First Central American Survey of Working Conditions and Health (2011). Main explicative variables were paid working hours, marital status, caring for children, and caring for people with functional diversity or ill. Using Poisson regression models, adjusted prevalence ratios of poor self-perceived and mental health were calculated by sex and social security coverage (proxy of informal employment). A clear pattern of association was observed for women in informal employment who were previously married, had care responsibilities, long working hours, or part-time work for both self-perceived and mental health. No other patterns were found. Our results show health inequalities related to unpaid care work and paid work that depend on the interaction between gender and informal employment. To reduce these inequalities suitable policies should consider both the labor (increasing social security coverage) and domestic spheres (co-responsibility of care).

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 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Unknown 129 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 15%
Student > Ph. D. Student 19 15%
Researcher 15 12%
Student > Bachelor 10 8%
Student > Doctoral Student 9 7%
Other 23 18%
Unknown 34 26%
Readers by discipline Count As %
Social Sciences 30 23%
Medicine and Dentistry 23 18%
Nursing and Health Professions 8 6%
Economics, Econometrics and Finance 7 5%
Psychology 5 4%
Other 16 12%
Unknown 41 32%
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 24 August 2020.
All research outputs
#3,113,894
of 25,374,917 outputs
Outputs from International Journal of Public Health
#348
of 1,900 outputs
Outputs of similar age
#51,085
of 349,075 outputs
Outputs of similar age from International Journal of Public Health
#13
of 45 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,900 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one has done well, scoring higher than 81% 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 349,075 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 85% of its contemporaries.
We're also able to compare this research output to 45 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 71% of its contemporaries.