Evidence map›Paper›PMID 31857945›Full record

ArticleAnnals of global health2019

Country-Level Analysis of the Association between Maternal Obesity and Neonatal Mortality in 34 Sub-Saharan African Countries.

Ifeoma D Ozodiegwu, Hadii M Mamudu, Liang Wang, Richard Wallace, Megan Quinn, Ying Liu, Henry V Doctor

Open access · goldAbstract read
In one paragraph

Article in Annals of global health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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  4. Review
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  6. Successes and Misses of Global Health Development: Detecting Temporal Concept Drift of Under-5 Mortality Prediction Models with Bias Scan.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science
    Article
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

7 authors at 3 institutions in 2 countries.

Ifeoma D OzodiegwuInstitute for Global Health, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, US.
Hadii M MamuduDepartment of Health Services Management and Policy, East Tennessee State University Johnson City, Tennessee, US.
Liang WangDepartment of Biostatistics and Epidemiology, East Tennessee State University, Johnson City, Tennessee, US.
Richard WallaceQuillen College of Medicine Library, East Tennessee State University Johnson City, Tennessee, US.
Megan QuinnDepartment of Biostatistics and Epidemiology, East Tennessee State University, Johnson City, Tennessee, US.
Ying LiuDepartment of Biostatistics and Epidemiology, East Tennessee State University, Johnson City, Tennessee, US.
Henry V DoctorDepartment of Science, Information and Dissemination, World Health Organization, Regional Office for the Eastern Mediterranean, Cairo, EG.
East Tennessee State University · USNorthwestern University · USWorld Health Organization Regional Office for the Eastern Mediterranean · EG

Funding

World Health Organization 001
6 · The paper itself

Abstract

Background: Prior work examining the association of maternal obesity and neonatal mortality indicate the presence of a positive relationship. However, regional evidence to provide insight on country-level heterogeneities within sub-Saharan Africa (SSA) with nationally representative datasets are non-existent. Objective: We aimed to determine the relationship between maternal obesity and neonatal mortality at the country level in SSA countries. Moreover, we also estimate regional measures of association to complement previous findings. Methods: Demographic and Health Survey (DHS) data from 34 SSA countries conducted from 2006-2016 were used for this study. After missing data (36.9% of cases) were addressed with multiple imputations, we identified a total of 175,860 women for the analysis. Complete case and multiply imputed datasets were analyzed individually with multilevel logistic regression models. Potential confounders adjusted for in the regression model included maternal age, level of educational attainment, area of residence, access to prenatal care, birth order and multiple birth (singleton vs twin birth). Regional and country-specific associations were computed, and unadjusted and adjusted odds ratios (ORs), along with the confidence intervals (CIs) were reported. Findings: Of the total study population, 8,451 (7.6%) were obese. In the regional level analyses, maternal obesity was associated with 40% increased odds of neonatal deaths. This finding was consistent in subgroup analyses by urban and rural residence, and geographic region of residence in SSA. Additionally, obese women were more likely to report neonatal death in the first week of life (OR, days 0-1: 1.39, 95% CI 1.15-1.69; OR, days 2-6: 1.35, 95% CI 1.02-1.79). In the individual country analyses, majority of the countries studied had central estimates supporting elevated odds of neonatal mortality, but the confidence intervals were imprecise. Conclusion: This study highlights the potential burden of neonatal mortality borne by obese women in SSA. There is, however, a need for longitudinal studies to confirm the results.

Indexed as

Infant MortalityAdultAfrica South of the SaharaBirth OrderBody Mass IndexEducational StatusFemaleHealth Services AccessibilityHumansInfantInfant, NewbornLogistic ModelsMaternal AgeMultilevel AnalysisMultiple Birth OffspringOdds Ratio

Identifiers

PMID31857945
PMCPMC6896841
OpenAlexW2994047961

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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.