Evidence map›Paper›PMID 32894179›Full record

ArticleItalian journal of pediatrics2020

Maternal factors associated with low birth weight in public hospitals of Mekelle city, Ethiopia: a case-control study.

Sielu Alemayehu Desta, Ashenafi Damte, Tsehay Hailu

Open access · goldAbstract read
In one paragraph

Article in Italian journal of pediatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 7% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

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  18. Machine learning algorithms for predicting low birth weight in Ethiopia.BMC medical informatics and decision making · 2022
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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

3 authors at 1 institution in 1 country.

Sielu Alemayehu DestaSchool of nursing, college of health science, Mekelle University, Mek'ele, Ethiopia. siealem@yahoo.com.ORCID http://orcid.org/0000-0001-5072-6465
Ashenafi DamteSchool of nursing, college of health science, Mekelle University, Mek'ele, Ethiopia.
Tsehay HailuSchool of nursing, college of health science, Mekelle University, Mek'ele, Ethiopia.
Mekelle University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMothers in low socio-economic conditions frequently have low birth weight infants. Inaddition Physically demanding work during pregnancy also contributes to poor fetal growth. During gestation a woman needs balanced nutrition for a healthy outcome. Women with inadequate nutritional status at conception are at greater risk of aquiring disease; their health usually depends on the availability and consumption of balanced diet, and therefore they are unlikely to be able to resist with their high nutrient needs during pregnancy. Therefore, the main purpose of this study was to assess the maternal risk factors associated low birth weight in public hospitals of Mekelle city, Tigray North Ethiopia, 2017/2018.

methodsUn-matched case-control study design was conducted among women who delivered in public hospitals of Mekelle city. Data was collected using a structured questionnaire through interview, direct physical assessment and medical record review of mothers. Sample size was calculated by Epi-info version 7.0 to get a final sample size of 381(cases = 127 and controls = 254). SPSS version 20 was used for analysis. Bivariate and multivariate logistic regression analysis was used to determine the effect of the independent variables on birth weight. Presence of significant association was determined using OR with its 95%CI. A P value of less than 0.05 was considered to declare statistical significance. Table, graphs and texts were used to present the data.

resultMost of the mothers (70.1% cases and 43.7% controls) were housewives. This study showed that maternal age ≤ 20 years (AOR = 6.42(95% CI = (1.93-21.42)), ANC follow up (AOR = 3.73(95%CI (1.5-9.24)), History of medical illness (AOR = 14.56(95% CI (3.69-57.45), Iron folate intake (AOR = 21.56(95%CI (6.54-71.14)), Maternal height less than 150 cm (AOR = 9.27(95%CI 3.45-24.89)) and Pregnancy weight gain (AOR = 4.93(95%CI = 1.8-13.48) were significant predictors of low birth weight.

conclusionThe study suggests that inadequate ANC follow-up, preterm birth and history of chronic medical illness, maternal height, pregnancy weight gain, and Iron intake were. Were significant predictors of low birth weight. Health professionals should screen and consulate pregnant mothers who are at risk of having infants with LBW and ensure that women have access to essential health information on the causes of low birth weight.

Indexed as

Birth WeightAdultCase-Control StudiesEthiopiaFemaleHospitals, PublicHumansInfant, Low Birth WeightInfant, NewbornMaternal AgeNutritional StatusPregnancyPregnancy ComplicationsPrenatal CareRisk FactorsSocioeconomic FactorsCase controlFactorsLow birth weightMaternal

Identifiers

PMID32894179
PMCPMC7487657
OpenAlexW3083017748

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.