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Social inequalities in the association between temperature and mortality in a South European context

Overview of attention for article published in International Journal of Public Health, March 2018
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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

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37 X users
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1 Facebook page

Citations

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48 Dimensions

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102 Mendeley
Title
Social inequalities in the association between temperature and mortality in a South European context
Published in
International Journal of Public Health, March 2018
DOI 10.1007/s00038-018-1094-6
Pubmed ID
Authors

Marc Marí-Dell’Olmo, Aurelio Tobías, Anna Gómez-Gutiérrez, Maica Rodríguez-Sanz, Patricia García de Olalla, Esteve Camprubí, Antonio Gasparrini, Carme Borrell

Abstract

To analyse social inequalities in the association between ambient temperature and mortality by sex, age and educational level, in the city of Barcelona for the period 1992-2015. Mortality data are represented by daily counts for natural mortality. As a measure of socioeconomic position, we used the educational level of the deceased. We also considered age group and sex. We considered, as a measure of exposure, the daily maximum temperatures. Time-series Poisson regression with distributed lag non-linear models was fitted for modelling the relationship between temperature and mortality. Women had higher risk of mortality by hot temperatures than men. Temperature-mortality association (heat and cold) was evident for the elderly, except for heat-related mortality in women which was present in all age groups. Men with primary education or more were more vulnerable to moderate or extreme temperatures than those without studies. Finally, women were vulnerable to heat-related mortality in all educational levels while women without studies were more vulnerable to cold temperatures. Social and economic individual characteristics play an important role in vulnerability to high and low temperatures. It is important that decision-making groups consider identified vulnerable subgroups when redacting and implementing climate change resilience and adaptation plans.

X Demographics

X Demographics

The data shown below were collected from the profiles of 37 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 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 102 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 20%
Researcher 18 18%
Student > Doctoral Student 9 9%
Student > Ph. D. Student 8 8%
Student > Bachelor 5 5%
Other 10 10%
Unknown 32 31%
Readers by discipline Count As %
Medicine and Dentistry 19 19%
Environmental Science 10 10%
Social Sciences 10 10%
Engineering 6 6%
Nursing and Health Professions 4 4%
Other 15 15%
Unknown 38 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 22 May 2019.
All research outputs
#1,567,114
of 25,382,440 outputs
Outputs from International Journal of Public Health
#164
of 1,900 outputs
Outputs of similar age
#33,991
of 345,388 outputs
Outputs of similar age from International Journal of Public Health
#4
of 29 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% 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 particularly well, scoring higher than 91% 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 345,388 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 90% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.