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The Association Between Neighborhood Environment and Mortality: Results from a National Study of Veterans

Overview of attention for article published in Journal of General Internal Medicine, November 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 (67th percentile)

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1 blog
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3 X users

Citations

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34 Dimensions

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53 Mendeley
Title
The Association Between Neighborhood Environment and Mortality: Results from a National Study of Veterans
Published in
Journal of General Internal Medicine, November 2016
DOI 10.1007/s11606-016-3905-x
Pubmed ID
Authors

Karin Nelson, Greg Schwartz, Susan Hernandez, Joseph Simonetti, Idamay Curtis, Stephan D. Fihn

Abstract

As the largest integrated US health system, the Veterans Health Administration (VHA) provides unique national data to expand knowledge about the association between neighborhood socioeconomic status (NSES) and health. Although living in areas of lower NSES has been associated with higher mortality, previous studies have been limited to higher-income, less diverse populations than those who receive VHA care. To describe the association between NSES and all-cause mortality in a national sample of veterans enrolled in VHA primary care. One-year observational cohort of veterans who were alive on December 31, 2011. Data on individual veterans (vital status, and clinical and demographic characteristics) were abstracted from the VHA Corporate Data Warehouse. Census tract information was obtained from the US Census Bureau American Community Survey. Logistic regression was used to model the association between NSES deciles and all-cause mortality during 2012, adjusting for individual-level income and demographics, and accounting for spatial autocorrelation. Veterans who had vital status, demographic, and NSES data, and who were both assigned a primary care physician and alive on December 31, 2011 (n = 4,814,631). Census tracts were used as proxies for neighborhoods. A summary score based on census tract data characterized NSES. Veteran addresses were geocoded and linked to census tract NSES scores. Census tracts were divided into NSES deciles. In adjusted analysis, veterans living in the lowest-decile NSES tract were 10 % (OR 1.10, 95 % CI 1.07, 1.14) more likely to die than those living in the highest-decile NSES tract. Lower neighborhood SES is associated with all-cause mortality among veterans after adjusting for individual-level socioeconomic characteristics. NSES should be considered in risk adjustment models for veteran mortality, and may need to be incorporated into strategies aimed at improving veteran health.

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

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 8 15%
Researcher 6 11%
Student > Ph. D. Student 4 8%
Student > Bachelor 3 6%
Professor > Associate Professor 3 6%
Other 10 19%
Unknown 19 36%
Readers by discipline Count As %
Medicine and Dentistry 9 17%
Nursing and Health Professions 5 9%
Social Sciences 5 9%
Psychology 2 4%
Earth and Planetary Sciences 2 4%
Other 5 9%
Unknown 25 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 19 June 2018.
All research outputs
#2,529,486
of 23,911,072 outputs
Outputs from Journal of General Internal Medicine
#1,900
of 7,806 outputs
Outputs of similar age
#44,075
of 314,779 outputs
Outputs of similar age from Journal of General Internal Medicine
#27
of 83 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,806 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one has done well, scoring higher than 75% 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 314,779 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 83 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 67% of its contemporaries.