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Socioeconomic inequality and mortality - a regional Danish cohort study

Overview of attention for article published in BMC Public Health, May 2015
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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

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Title
Socioeconomic inequality and mortality - a regional Danish cohort study
Published in
BMC Public Health, May 2015
DOI 10.1186/s12889-015-1813-3
Pubmed ID
Authors

Line R Ullits, Linda Ejlskov, Rikke N Mortensen, Steen M Hansen, Stella R J Kræmer, Henrik Vardinghus-Nielsen, Kirsten Fonager, Henrik Bøggild, Christian Torp-Pedersen, Charlotte Overgaard

Abstract

Socioeconomic inequalities in mortality pose a serious impediment to enhance public health even in highly developed welfare states. This study aimed to improve the understanding of socioeconomic disparities in all-cause mortality by using a comprehensive approach including a range of behavioural, psychological, material and social determinants in the analysis. Data from The North Denmark Region Health Survey 2007 among residents in Northern Jutland, Denmark, were linked with data from nationwide administrative registries to obtain information on death in a 5.8-year follow-up period (1(st)February 2007- 31(st)December 2012). Socioeconomic position was assessed using educational status as a proxy. The study population was assigned to one of five groups according to highest achieved educational level. The sample size was 8,837 after participants with missing values or aged below 30 years were excluded. Cox regression models were used to assess the risk of death from all causes according to educational level, with a step-wise inclusion of explanatory covariates. Participants' mean age at baseline was 54.1 years (SD 12.6); 3,999 were men (45.3%). In the follow-up period, 395 died (4.5%). With adjustment for age and gender, the risk of all-cause mortality was significantly higher in the two least-educated levels (HR = 1.5, 95%, CI = 1.2-1.8 and HR = 3.7, 95%CI = 2.4-5.9, respectively) compared to the middle educational level. After adjustment for the effect of subjective and objective health, similar results were obtained (HR = 1.4, 95%CI = 1.1-1.7 and HR = 3.5, 95%CI = 2.0-6.3, respectively). Further adjustment for the effect of behavioural, psychological, material and social determinants also failed to eliminate inequalities found among groups, the risk remaining significantly higher for the least educated levels (HR = 1.4, 95%CI = 1.1-1.9 and HR = 4.0, 95%CI = 2.3-6.8, respectively). In comparison with the middle level, the two highest educated levels remained statistically insignificant throughout the entire analysis. Socioeconomic inequality influenced mortality substantially even when adjusted for a range of determinants that might explain the association. Further studies are needed to understand this important relationship.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 1%
Denmark 1 1%
Unknown 78 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 25%
Student > Master 16 20%
Researcher 10 13%
Student > Bachelor 5 6%
Student > Postgraduate 5 6%
Other 12 15%
Unknown 12 15%
Readers by discipline Count As %
Medicine and Dentistry 25 31%
Social Sciences 15 19%
Economics, Econometrics and Finance 6 8%
Nursing and Health Professions 4 5%
Psychology 3 4%
Other 11 14%
Unknown 16 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 21 February 2017.
All research outputs
#1,968,742
of 24,127,528 outputs
Outputs from BMC Public Health
#2,211
of 15,880 outputs
Outputs of similar age
#25,433
of 268,354 outputs
Outputs of similar age from BMC Public Health
#31
of 232 outputs
Altmetric has tracked 24,127,528 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,880 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done well, scoring higher than 86% 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 268,354 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 232 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.