Evidence map›Paper›PMID 27417308›Full record

ArticleBMC pregnancy and childbirth2016

Socioeconomic and demographic determinants of birth weight in southern rural Ghana: evidence from Dodowa Health and Demographic Surveillance System.

Alfred Kwesi Manyeh, Vida Kukula, Gabriel Odonkor, Rosemond Akepene Ekey, Alexander Adjei, Solomon Narh-Bana, David Etsey Akpakli, Margaret Gyapong

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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50citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

50 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Alfred Kwesi ManyehDodowa Health Research Centre, P. O. Box. DD1, Dodowa, Ghana. alfredmanyeh4u@gmail.com.
Vida KukulaDodowa Health Research Centre, P. O. Box. DD1, Dodowa, Ghana.
Gabriel OdonkorDodowa Health Research Centre, P. O. Box. DD1, Dodowa, Ghana.
Rosemond Akepene EkeyShai-Osudoku District Hospital, Dodowa, Ghana.
Alexander AdjeiDodowa Health Research Centre, P. O. Box. DD1, Dodowa, Ghana.
Solomon Narh-BanaDodowa Health Research Centre, P. O. Box. DD1, Dodowa, Ghana.
David Etsey AkpakliDodowa Health Research Centre, P. O. Box. DD1, Dodowa, Ghana.
Margaret GyapongDodowa Health Research Centre, P. O. Box. DD1, Dodowa, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLow birth weight (LBW) is one of the major factors affecting child morbidity and mortality worldwide. It also results in substantial costs to the health sector and imposes a significant burden on the society as a whole. This study seeks to investigate the determinants of low birth weight and the incidence of LBW in southern rural Ghana.

methodsPregnancy, birth, demographic and socioeconomic information of 6777 mothers who gave birth in 2011, 2012, and 2013 and information on their babies were extracted from a database. The database of Dodowa Health and Demographic Surveillance System is a longitudinal follow-up of over 24,000 households. The incidence of LBW was calculated and the univariable and multivariable associations between exposure variables and outcome were explored using logistic regression. STATA 11 was used for the analyses.

resultThe results revealed that 40.21 % of the infants were not weighed at birth and the incidence of LBW for 2011 to 2013 was 8.72, 7.04 and 7.52 % respectively. Women aged 20-24, 25-29, 30-34 years were more than twice more likely to have babies weighing ≥2.5 kg compared to those <20 years (OR:2.32, 95 % CI:1.65-3.26, OR:2.73, 95 % CI:1.96-3.79, OR:2.87, 95 % CI:2.06-4.01) and mothers who were >34 years were more than three times more likely to have babies weighed ≥2.5 kg (OR: 3.59, 95 % CI:2.56-5.04). Mothers who were civil servants were 77 % more likely to have babies weighed ≥2.5 kg (OR: 1.77, 95 % CI: 1.99-2.87) compared to those who were unemployed. After adjusting for other explanation variables, mothers from poorer households were 30 % more likely to have babies who weighed ≥2.5 kg (OR: 1.30, 95 % CI: 1.01-1.66) compared to those from the poorest households. Women with parity2 and parity > 3 were 30 % and 81 % more likely to have babies weighing ≥2.5 kg (OR: 1.30, 95 % CI: 1.03-1.63, OR: 1.81, 95 % CI: 1.38-2.35) compared to those with parity1. Male infants were 52 % more likely to weigh ≥2.5 kg at birth (OR: 1.52, 95 % CI: 1.32-1.76) compared to females.

conclusionOur study revealed that having infant birth weight ≥ 2.5 kg is highly associated with socioeconomic status of women household, the gender of an infant, parity, occupation and maternal age.

Indexed as

Birth WeightInfant, Low Birth WeightPopulation SurveillanceAdultFemaleGhanaHumansIncidenceIncomeInfant, NewbornMaleMaternal AgeOccupationsParityPovertyRisk FactorsBirth weightDeterminantsDodowaGhanaHealth and demographic surveillance systemSocioeconomic

Identifiers

PMID27417308
PMCPMC4946169

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LicenceCC BY
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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.