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US State-level income inequality and risks of heart attack and coronary risk behaviors: longitudinal findings

Overview of attention for article published in International Journal of Public Health, May 2015
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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 (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
7 X users
facebook
1 Facebook page

Citations

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32 Dimensions

Readers on

mendeley
79 Mendeley
Title
US State-level income inequality and risks of heart attack and coronary risk behaviors: longitudinal findings
Published in
International Journal of Public Health, May 2015
DOI 10.1007/s00038-015-0678-7
Pubmed ID
Authors

Roman Pabayo, Ichiro Kawachi, Stephen E. Gilman

Abstract

To examine prospectively the association between US state income inequality and incidence of heart attack. We used data from the National Epidemiologic Survey on Alcohol and Related Conditions (n = 34,445). Respondents completed interviews at baseline (2001-2002) and follow-up (2004-2005). Weighted multilevel modeling was used to determine if US state-level income inequality (measured by the Gini coefficient) at baseline was a predictor of heart attack during follow-up, controlling for individual-level and state-level covariates. In comparison to residents of US states in the lowest quartile of income inequality, those living in the second [Adjusted Odds Ratio (AOR) = 1.71, 95 % CI 1.16-2.53)], third (AOR = 1.81, 95 % CI 1.28-2.57), and fourth (AOR = 2.04, 95 % CI 1.26-3.29) quartiles were more likely to have a heart attack. Similar findings were obtained when we excluded those who had a heart attack prior to baseline. This study is one of the first to empirically show the longitudinal relationship between income inequality and coronary heart disease. Living in a state with higher income inequality increases the risk for heart attack among US adults.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 20%
Student > Bachelor 9 11%
Student > Postgraduate 6 8%
Student > Ph. D. Student 6 8%
Researcher 5 6%
Other 17 22%
Unknown 20 25%
Readers by discipline Count As %
Medicine and Dentistry 13 16%
Social Sciences 12 15%
Psychology 7 9%
Nursing and Health Professions 5 6%
Economics, Econometrics and Finance 5 6%
Other 15 19%
Unknown 22 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 29 September 2023.
All research outputs
#2,388,292
of 25,371,288 outputs
Outputs from International Journal of Public Health
#268
of 1,900 outputs
Outputs of similar age
#29,752
of 279,882 outputs
Outputs of similar age from International Journal of Public Health
#7
of 24 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th 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 well, scoring higher than 85% 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 279,882 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 89% of its contemporaries.
We're also able to compare this research output to 24 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 70% of its contemporaries.