Evidence map›Paper›PMID 34080692›Full record

ArticlePaediatric and perinatal epidemiology2021

Levels and potential drivers of under-five mortality sex ratios in low- and middle-income countries.

Janaína Calu Costa, Ann M Weber, Safa Abdalla, Gary L Darmstadt, Cesar G Victora

Open access · hybridAbstract read
In one paragraph

Article in Paediatric and perinatal epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% of its field
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
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  6. Review
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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

5 authors at 3 institutions in 2 countries.

Janaína Calu CostaInternational Center for Equity in Health, Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil.ORCID 0000-0002-7912-8685
Ann M WeberSchool of Community Health Sciences, University of Nevada, Reno, NV, USA.ORCID 0000-0001-8130-5858
Safa AbdallaDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0001-8476-4080
Gary L DarmstadtDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-7522-5824
Cesar G VictoraInternational Center for Equity in Health, Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil.ORCID 0000-0002-2465-2180
Stanford University · USUniversidade Federal de Pelotas · BRUniversity of Nevada, Reno · US

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundNon-biological childhood mortality sex ratios may reflect community sex preferences and gender discrimination in health care.

objectiveWe assessed the association between contextual factors and gender bias in under-five mortality rates (U5MR) in low- and middle-income countries.

methodsFull birth histories available from Demographic and Health Surveys and Multiple Indicator Cluster Surveys (2010-2018) in 80 countries were used to estimate U5MR male-to-female sex ratios. Expected sex ratios and their residuals (difference of observed and expected) were derived from a linear regression model, adjusted for overall mortality. Negative residuals indicate more likelihood of discrimination against girls, and we refer to this as a measure of potential gender bias. Associations between residuals and national development and gender inequality indices and with survey-derived child health care indicators were tested using Spearman's correlation.

resultsMortality residuals for under-five mortality were not associated with national development, education, religion, or gender inequality indices. Negative residuals were more common in countries where boys were more likely to be taken to health services than girls (rho -0.24, 95% confidence interval -0.45, -0.01).

conclusionsCountries where girls were more likely to die than boys, accounting for overall mortality levels, were also countries where boys were more likely to receive health care than girls. Further research is needed to understand which national characteristics explain the presence of gender bias, given that the analyses of development levels and gender equality did not discriminate between countries with or without excess mortality of girls. Reporting on child mortality separately by sex is required to enable such advances.

Indexed as

Developing CountriesSex RatioChildEducational StatusFemaleHumansIncomeInfantMaleSexismchild healthchild mortalitydeveloping countriesmodelssex ratiostatisticalsurveys and questionnaires

Identifiers

PMID34080692
PMCPMC8453971
OpenAlexW3165853140

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.