Evidence map›Paper›PMID 36028797›Full record

ArticleBMC pregnancy and childbirth2022

Determinants of anemia status among pregnant women in ethiopia: using 2016 ethiopian demographic and health survey data; application of ordinal logistic regression models.

Kassahun Animut, Getasew Berhanu

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 16 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Kassahun AnimutDepartment of Statistics, College of Natural and Computational Science, Dilla University, Dilla, Ethiopia.
Getasew BerhanuDepartment of Statistics, College of Natural and Computational Science, Dilla University, Dilla, Ethiopia. get.birhanu@yahoo.com.
Dilla University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnemia is a serious public health problem that occurs when the blood contains fewer red blood cells than normal. In Ethiopia, the prevalence of anemia in pregnancy increased between 2005 and 2016. The aim of this study was to determine what factors influence the anemia status of pregnant women in Ethiopia.

methodsAnemia status in a sample of 1053 pregnant women was studied using data from Ethiopia's Demographic and Health Survey 2016. Percentages and graphs were used to show the prevalence of anemia. The marginal probability effect was used to determine the contribution of each explanatory variable category to a single response category of anemia level. Ordinal logistic regression models were constructed, and the best-fitting model was selected to reveal significant anemia status variables.

resultsThe prevalence of anemia in pregnant women was found to be 37.51% (3.04% severe, 17.28% moderate, and 17.1% mild anemic). The fitted partial proportional odds model revealed that anemia status of pregnant women was significantly associated with region afar (OR = 0.45; CI: 0.21-0.96), antenatal care visits above 4 (OR = 1.58; CI: 1.03-2.43), parity between 1-2 (OR = 0.47;CI: 0.26-0.85), iron taking (OR = 3.68;CI: 2.41-5.64), and higher education (OR = 4.75;CI: 2.29-9.85).

conclusionsAnemia among pregnant women has been identified as a moderate public health issue in Ethiopia. The study revealed that the prevalence of anemia varied among regions which the highest (65.9%) and the lowest (9%) being from Somali and Addis Ababa, respectively. As a result, it is argued that treatments target iron consumption, maternal education, antenatal visits, and mothers' access to health care.

Indexed as

AnemiaPregnant PeopleCross-Sectional StudiesEthiopiaFemaleHumansIronLogistic ModelsParityPregnancyPrenatal CarePrevalenceIronAnemiaEthiopiaMarginal effectOrdinal logistic regressionPartial proportional odds modelPregnant women

Identifiers

PMID36028797
PMCPMC9413893
OpenAlexW4293199704

What OpenQuestion holds

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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.