Evidence map›Paper›PMID 36914676›Full record

ArticleScientific reports2023

Determinants of anemia severity levels among children aged 6-59 months in Ethiopia: Multilevel Bayesian statistical approach.

Tesfa Sewunet Alamneh, Alemakef Wagnew Melesse, Kassahun Alemu Gelaye

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Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 22 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

3 authors at 1 institution in 1 country.

Tesfa Sewunet AlamnehDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia. tesfasewunet23@gmail.com.
Alemakef Wagnew MelesseDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Kassahun Alemu GelayeDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
University of Gondar · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anemia is a widespread public health problem that affects all stages of life particularly preschool children and pregnant mothers. Anemia among children had significant impact on their growth, development, school performance and mortality. Different strategies like deworming of young children, vitamin A supplementation for children aged 6-59 months, and ferrous sulphate supplementation and provision of insecticide treated bed net for pregnant women were designed to control and prevent anemia. Also, previous studies on anemia factors were conducted but they were not considering the ordered nature of anemia. Therefore, this study aimed to identify the factors of anemia severity levels among children aged 6-59 months in Ethiopia by using ordinal analysis based on Bayesian hierarchical statistical approach. A secondary data analysis was conducted using the 2016 Ethiopian Demographic and Health Survey data. A total of 8483 weighted children were included. Due to the ordered nature of the anemia and nested nature of DHS data, ordinal logistic regression model based on hierarchical Bayesian statistical approach was employed to identify the determinants of anemia severity levels. In this study, moderate anemia level was found to be the commonest type which accounts around 29.4%. Female children, poorer, middle, and richest wealth index, primary maternal education and having ANC visit had lower risk of having higher order of anemia. Moderate maternal anemia and stunted children had higher chance of having higher order of anemia. Children age had significant different effect on mild and moderate anemia. Meanwhile, multiple birth/s and deworming had effect on moderate anemia. In addition, normal birth weight had also significant and different effect on mild and severe anemia and history of feverlike illness on mild anemia. The prevalence of anemia among children aged 6-59 months anemia was found to be a severe public health problem. Children age, sex, maternal education, child stunting, history of fever, multiple birth, birth weight, provision of deworming and maternal anemia was found to be the most important factors for child anemia severity levels. Therefore, intervention efforts to control and prevent anemia in Ethiopia requires targeting of these hindering factors.

Indexed as

AnemiaBayes TheoremBirth WeightChild, PreschoolEthiopiaFemaleHumansPregnancyRisk FactorsSocioeconomic Factors

Identifiers

PMID36914676
PMCPMC10011377
OpenAlexW4324055504

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Textfull text, public
LicenceCC BY
measurements read67
table measurements read1
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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.