Evidence map›Paper›PMID 25360709›Full record

ArticlePloS one2014

Contextual risk factors for low birth weight: a multilevel analysis.

Gbenga A Kayode, Mary Amoakoh-Coleman, Irene Akua Agyepong, Evelyn Ansah, Diederick E Grobbee, Kerstin Klipstein-Grobusch

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 76 citations in OpenAlex.

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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 at 2 institutions in 3 countries.

Gbenga A KayodeJulius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands.
Mary Amoakoh-ColemanJulius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands; Ghana Health Service, Greater Accra Region, Accra, Ghana.
Irene Akua AgyepongGhana Health Service, Greater Accra Region, Accra, Ghana; School of Public Health, University of Ghana, Legon, Accra, Ghana.
Evelyn AnsahGhana Health Service, Greater Accra Region, Accra, Ghana.
Diederick E GrobbeeJulius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands.
Kerstin Klipstein-GrobuschJulius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands; Division of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Science, University of Witwatersrand, Johannesburg, South Africa.
Ghana Health Service · GHUniversity Medical Center Utrecht · NL

Funding

Stroke and Cardiovascular Research Training (SCaRT) InstituteD43TW009140 · FIC · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ADANU, RICHARD M K, ALABI, SULYMAN BIODUN · 2011 to 2023
$2.5M
FIC NIH HHS D43 TW009140
6 · The paper itself

Abstract

backgroundLow birth weight (LBW) remains to be a leading cause of neonatal death and a major contributor to infant and under-five mortality. Its prevalence has not declined in the last decade in sub-Saharan Africa (SSA) and Asia. Some individual level factors have been identified as risk factors for LBW but knowledge is limited on contextual risk factors for LBW especially in SSA.

methodsContextual risk factors for LBW in Ghana were identified by performing multivariable multilevel logistic regression analysis of 6,900 mothers dwelling in 412 communities that participated in the 2003 and 2008 Demographic and Health Surveys in Ghana.

resultsContextual-level factors were significantly associated with LBW: Being a rural dweller increased the likelihood of having a LBW infant by 43% (OR 1.43; 95% CI 1.01-2.01; P-value <0.05) while living in poverty-concentrated communities increased the risk of having a LBW infant twofold (OR 2.16; 95% CI 1.29-3.61; P-value <0.01). In neighbourhoods with a high coverage of safe water supply the odds of having a LBW infant reduced by 28% (OR 0.74; 95% CI 0.57-0.96; P-value <0.05).

conclusionThis study showed contextual risk factors to have independent effects on the prevalence of LBW infants. Being a rural dweller, living in a community with a high concentration of poverty and a low coverage of safe water supply were found to increase the prevalence of LBW infants. Implementing appropriate community-based intervention programmes will likely reduce the occurrence of LBW infants.

Indexed as

Infant, Low Birth WeightAdolescentAdultFemaleGhanaHealth SurveysHumansInfant, NewbornLogistic ModelsMaleMiddle AgedModels, StatisticalMothersMultilevel AnalysisPoverty AreasRisk Factors

Identifiers

PMID25360709
PMCPMC4215836
OpenAlexW2043818134

What OpenQuestion holds

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LicenceCC BY
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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.