Evidence map›Paper›PMID 27815763›Full record

Observational studyJournal of general internal medicine2017

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

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

Abstract readObservational Study
In one paragraph

Observational study in Journal of general internal medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Karin NelsonVA Puget Sound Healthcare System, Health Services Research and Development Seattle-Denver COIN, Seattle, WA, USA. Karin.Nelson@va.gov.
Greg SchwartzVHA Office of Analytics and Business Intelligence, Seattle, WA, USA.
Susan HernandezSchool of Public Health, Department of Health Services, University of Washington, Seattle, WA, USA.
Joseph SimonettiVA Puget Sound Healthcare System, Health Services Research and Development Seattle-Denver COIN, Seattle, WA, USA.
Idamay CurtisVHA Office of Analytics and Business Intelligence, Seattle, WA, USA.
Stephan D FihnVA Puget Sound Healthcare System, General Internal Medicine Service, Seattle, WA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs 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.

objectiveTo describe the association between NSES and all-cause mortality in a national sample of veterans enrolled in VHA primary care.

designOne-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.

participantsVeterans 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). MAIN MEASURES: 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. KEY

resultsIn 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.

conclusionsLower 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.

Indexed as

EnvironmentMortalityAdolescentAdultAgedFemaleHumansMaleMiddle AgedPoverty AreasResidence CharacteristicsRisk FactorsRural HealthSocial ClassSocioeconomic FactorsUnited Statesclinical epidemiologypublic healthrisk adjustmentsocioeconomic factorsveteran

Identifiers

PMID27815763
PMCPMC5377878

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.