Evidence map›Paper›PMID 28606178›Full record

Observational studyBMC pediatrics2017

Low birth weight and macrosomia in Tigray, Northern Ethiopia: who are the mothers at risk?

Hayelom Gebrekirstos Mengesha, Alem Desta Wuneh, Berhe Weldearegawi, Divya L Selvakumar

Abstract readObservational Study
In one paragraph

Observational study in BMC pediatrics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 3 pooled it
–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

36 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

4 authors.

Hayelom Gebrekirstos MengeshaCollege of Medicine and Health Sciences, Adigrat University, Adigrat, Ethiopia. hayetgeb@gmail.com.
Alem Desta WunehSchool of Public Health, Mekelle University, Mekelle, Ethiopia.
Berhe WeldearegawiSchool of Public Health, Mekelle University, Mekelle, Ethiopia.
Divya L SelvakumarSchool of Public Health, Montgomery College, Rockville, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInfant birth weight, which is classified into low birth weight, normal birth weight and macrosomia, is associated with short and long-term health consequences, such as neonatal mortality and chronic disease in life. Macrosomia and low birth weight are double burden problems in developing counties, such as Ethiopia, but the paucity of evidence has made it difficult to assess the extent of this situation. As a result there has been inconsistency in the reported prevalence of low birth weight and macrosomia in Ethiopia. This study aimed to determine the incidence and predictors of low birth weight and macrosomia in Tigray, Northern Ethiopia.

methodWe conducted a cross-sectional survey among a cohort of 1152 neonates delivered in Tigray Region at randomly selected hospitals between April and July 2014. We used the birth weight category described previously as an outcome variable. Data were collected using structured questionnaire by midwives. We entered and analyzed data using STATA™ Version 11.0. Data were described using a frequency, percentage, relative risk ratio, and 95% confidence interval. Multinomial logistic regression was conducted to identify independent predictors of low birth weight and macrosomia.

resultIn this study, we found a 10.5% and 6.68% incidence of low birth weight and macrosomia, respectively. Seventy (57.8%) of all low birth weight neonates were term births. The predictors for low birth weight were: early marriage (<18 year) (RRR: 0.59, CI: 0.35-0.97); rural residence (RRR: 0.53, CI: 0.32-0.9); prematurity (RRR: 15.4, CI: 9.18-25.9); no antenatal follow-up (RRR: 6.78, CI: 2.39-19.25); and female sex (RRR: 1.77, CI: 1.13-2.77). Predictors for macrosomia were: female gender (RRR: 0.58, CI: 0.35-0.9); high body mass index (RRR: 5.0, CI: 1.56-16); post-maturity (RRR: 2.23, CI: 1.06-4.6); and no maternal complication (RRR: 0.46, CI: 0.27-0.8).

conclusionIn this study, we found gestational age and gender of the neonate to be common risk factors for both low birth weight and macrosomia. Strengthening antenatal follow up, prevention of pre and post maturity, controlling body mass index, and improving socioeconomic status of mothers are recommendations to prevent the double burden (low birth weight and macrosomia) and associated short and long-term consequences.

Indexed as

Infant, Low Birth WeightAdultCross-Sectional StudiesEthiopiaFemaleFetal MacrosomiaHumansIncidenceInfant, NewbornLogistic ModelsMalePregnancyPremature BirthPrenatal CarePrevalenceProspective StudiesLow birth weightMacrosomiaMultinomial regressionNorthern EthiopiaTigray

Identifiers

PMID28606178
PMCPMC5469141

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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.