Evidence map›Paper›PMID 30669972›Full record

ArticleBMC pregnancy and childbirth2019

Poverty, urban-rural classification and term infant mortality: a population-based multilevel analysis.

Yousra A Mohamoud, Russell S Kirby, Deborah B Ehrenthal

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

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  8. Preventable neonatal mortality in the state of São Paulo: a spatial approach.Revista paulista de pediatria : orgao oficial da Sociedade de Pediatria de Sao Paulo · 2025
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  10. Observational
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  14. Rural-urban disparities in health care delivery for children with medical complexity and moderating effects of payer, disability, and community poverty.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2024
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  20. Infant Mortality Trends and Determinants in Kazakhstan.Children (Basel, Switzerland) · 2023
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Yousra A MohamoudDepartment of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, WARF Office Building, Room 675A, 610 Walnut St, Madison, WI, 53726, USA. ymohamoud@wisc.edu.ORCID http://orcid.org/0000-0002-7491-3270
Russell S KirbyDepartment of Community and Family Health, College of Public Health, University of South Florida, Tampa, FL, USA.
Deborah B EhrenthalDepartment of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, WARF Office Building, Room 675A, 610 Walnut St, Madison, WI, 53726, USA.

Funding

Training & Education to Advance Minorities in Science (TEAM-Science)R25GM083252 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI BIRD, IAN M. · 2008 to 2021
$8.5M
Scientific and Technical CoreP2CHD047873 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI Katherine J. Curtis · 2014 to 2026
$5.1M
National Institute of General Medical Sciences (US) R25GM083252National Institutes of Health (US) P2CHD047873NICHD NIH HHS P2C HD047873NIGMS NIH HHS R25 GM083252
6 · The paper itself

Abstract

backgroundU.S. mortality rate of term infants is higher than most other developed countries. Term infant mortality is associated with exogenous socio-environmental factors. Previous research links low socioeconomic status and rurality with high infant mortality, but does not examine the effect of individual level factors on this association. Separating out the effect of contextual factors from individual level factors has important implications for targeting interventions. Therefore, we aim to estimate the independent effect of poverty and urban-rural classification on term infant mortality.

methodsWe used linked 2013 period cohort birth-infant death files from the National Center for Health Statistics (NCHS). Counties were assigned to low, medium and high poverty groups using US Census Bureau county-level percent of children ≤18 years living in poverty, and were classified based on NCHS urban-rural classification. Bivariate and multilevel logistic regression models were used to estimate odds of term infant death, accounting for individual and county level variables.

resultsThere were 2,551,828 term births in 2013, with an overall term mortality of 2.1 per 1000 births. Odds of term infant mortality increased from 1.4 (95% CI: 1.2, 1.6) to 1.8 (95% CI: 1.6, 2.0) comparing births over increasing county poverty to those in the lowest. The associations remained significant in the multivariable model, for highest poverty 1.3 (95% CI: 1.1, 1.5). Similarly, the odds of term infant mortality increased with increasing rurality, from 1.3 (95% CI: 1.2, 1.5) in medium metro counties to 1.7 (95% CI: 1.5, 2.0) in non-core counties compared to large fringe metro counties. However, only rural non-core counties remained statistically associated with increased risk of term infant mortality after adjusting for individual level maternal characteristics.

conclusionsHigh poverty and very rural counties remained associated with term infant mortality independent of individual maternal sociodemographic, health and obstetric factors. Interventions should focus on contextual factors such as economic environment and availability of health and social services in addition to individual factors to reduce term infant mortality.

Indexed as

Infant MortalityTerm BirthFemaleHumansInfantInfant, NewbornLogistic ModelsMaleMultilevel AnalysisPovertyPregnancyRural PopulationUnited StatesUrban PopulationInfant mortalityMultilevel analysisPovertyRuralTerm birthsUrban

Identifiers

PMID30669972
PMCPMC6343321

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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.