Evidence map›Paper›PMID 31640658›Full record

ArticleBMC public health2019

State-level income inequality and mortality among infants born in the United States 2007-2010: A Cohort Study.

Roman Pabayo, Daniel M Cook, Guy Harling, Anastasia Gunawan, Natalie A Rosenquist, Peter Muennig

Abstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Neonatal mortality among disaggregated Asian American and Native Hawaiian/Pacific Islander populations.Journal of perinatology : official journal of the California Perinatal Association · 2025
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  8. Neonatal mortality and disparities within the military health system.Journal of perinatology : official journal of the California Perinatal Association · 2023
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Roman PabayoUniversity of Alberta, School of Public Health, 3-300 Edmonton Clinic Health Academy, 11405-87 Ave, Edmonton, Alberta, T6G 1C9, Canada. pabayo@ualberta.ca.ORCID http://orcid.org/0000-0003-4018-4898
Daniel M CookUniversity of Nevada, Reno, School of Community Health Sciences, 1664 N Virginia St., Reno, 89557, USA.
Guy HarlingInstitute for Global Health, University College London, London, WC1E 6BT, UK.
Anastasia GunawanUniversity of Nevada, Reno, School of Community Health Sciences, 1664 N Virginia St., Reno, 89557, USA.
Natalie A RosenquistUniversity of Nevada, Reno, School of Community Health Sciences, 1664 N Virginia St., Reno, 89557, USA.
Peter MuennigMailman School of Public Health, Columbia University, 722 West 168th St. 4th Floor, New York, NY, 10032, USA.

Funding

State and county level income inequality and infant mortality risk: The moderating role of race and socioeconomic statusR15MD010223 · NIMHD · UNIVERSITY OF NEVADA RENO · PI COOK, DANIEL MARTIN · 2015 to 2015
$439k
National Center on Minority Health and Health Disparities 1R15MD010223-01NIMHD NIH HHS R15 MD010223
6 · The paper itself

Abstract

backgroundUnited States state-level income inequality is positively associated with infant mortality in ecological studies. We exploit spatiotemporal variations in a large dataset containing individual-level data to conduct a cohort study and to investigate whether current income inequality and increases in income inequality are associated with infant and neonatal mortality risk over the period of the 2007-2010 Great Recession in the United States.

methodsWe used data on 16,145,716 infants and their mothers from the 2007-2010 United States Statistics Linked Infant Birth and Death Records. Multilevel logistic regression was used to determine whether 1) US state-level income inequality, as measured by Z-transformed Gini coefficients in the year of birth and 2) change in Gini coefficient between 1990 and year of birth (2007-2010), predicted infant or neonatal mortality. Our analyses adjusted for both individual and state-level covariates.

resultsFrom 2007 to 2010 there were 98,002 infant deaths: an infant mortality rate of 6.07 infant deaths per 1000 live births. When controlling for state and individual level characteristics, there was no significant relationship between Gini Z-score and infant mortality risk. However, the observed increase in the Gini Z-score was associated with a small but significant increase likelihood of infant mortality (AOR = 1.03 to 1.06 from 2007 to 2010). Similar findings were observed when the neonatal mortality was the outcome (AOR = 1.05 to 1.13 from 2007 to 2010).

conclusionsInfants born in states with greater changes in income inequality between 1990 and 2007 to 2010 experienced a greater likelihood of infant and neonatal mortality.

Indexed as

Health Status DisparitiesCohort StudiesHumansIncomeInfantInfant MortalityInfant, NewbornRisk FactorsSocioeconomic FactorsUnited StatesIncome inequalityInfant mortalitySocial determinants of healthSocial epidemiology

Identifiers

PMID31640658
PMCPMC6805610

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Registered trials

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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.