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The role of population change in the increased economic differences in mortality: a study of premature death from all causes and major groups of causes of death in Spain, 1980–2010

Overview of attention for article published in BMC Public Health, April 2015
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
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Mentioned by

twitter
4 tweeters

Citations

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1 Dimensions

Readers on

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13 Mendeley
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Title
The role of population change in the increased economic differences in mortality: a study of premature death from all causes and major groups of causes of death in Spain, 1980–2010
Published in
BMC Public Health, April 2015
DOI 10.1186/s12889-015-1678-5
Pubmed ID
Authors

David Martínez, Carolina Giráldez-García, Estrella Miqueleiz, María E Calle, Juana M Santos, Enrique Regidor

Abstract

An increase has been observed in differences in mortality between the richest and poorest areas of rich countries. This study assesses whether one of the proposed explanations, i.e., population change, might be responsible for this increase in Spain. Observational study based on average income, population change and mortality at provincial level. The premature mortality rate (ages 0-74 years) was estimated for all causes and for cancer, cardiovascular disease and external causes across the period 1980-2010. In the years analysed, provinces were grouped into tertiles based on provincial income, with the mortality rate ratio (MMR) being estimated by taking the tertile of highest-income provinces as reference. Population change was then controlled for to ascertain whether it would modify the rate ratio. In all-cause mortality, the magnitude of the MRR for provinces in the poorest versus the richest tertile was 1.01 in 1980 and 1.12 in 2010; in cardiovascular mortality, the MMRs for these same years were 1.08 and 1.31 respectively; and in the case of cancer and external-cause mortality, MMR magnitude was similar in 1980 and 2010. The magnitude of the MMR remained unchanged in response to adjustment for population change, with the single exception of 1980, when it increased in all-cause and cardiovascular mortality. The increase in the difference in premature mortality between the richest and poorest areas in Spain is due to the increased difference in cardiovascular mortality. This increase is not accounted for by population change. In rich countries, more empirical evidence is thus needed to test other alternative explanations for the increase in economic differences in mortality.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 8%
Rwanda 1 8%
Unknown 11 85%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 38%
Student > Bachelor 3 23%
Student > Ph. D. Student 1 8%
Professor 1 8%
Researcher 1 8%
Other 0 0%
Unknown 2 15%
Readers by discipline Count As %
Social Sciences 3 23%
Nursing and Health Professions 3 23%
Medicine and Dentistry 2 15%
Agricultural and Biological Sciences 1 8%
Arts and Humanities 1 8%
Other 0 0%
Unknown 3 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 09 April 2015.
All research outputs
#2,212,724
of 4,977,966 outputs
Outputs from BMC Public Health
#3,206
of 5,480 outputs
Outputs of similar age
#69,020
of 148,775 outputs
Outputs of similar age from BMC Public Health
#131
of 217 outputs
Altmetric has tracked 4,977,966 research outputs across all sources so far. This one has received more attention than most of these and is in the 54th percentile.
So far Altmetric has tracked 5,480 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
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 148,775 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 217 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.