Evidence map›Paper›PMID 36875390›Full record

ArticleFrontiers in public health2023

Spatial distribution and trends of anemia among pregnant women in Ethiopia: EDHS 2005-2016.

Molla Abate Ayele, Haile Mekonnen Fenta, Dereje Tesfaye Zike, Lijalem Melie Tesfaw

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Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Molla Abate AyeleDepartment of Statistics, Mekidela Amba University, Mekane Selam, Ethiopia.
Haile Mekonnen FentaDepartment of Statistics, Bahir Dar University, Bahir Dar, Ethiopia.
Dereje Tesfaye ZikeDepartment of Statistics, Bahir Dar University, Bahir Dar, Ethiopia.
Lijalem Melie TesfawDepartment of Statistics, Bahir Dar University, Bahir Dar, Ethiopia.
Bahir Dar University · ETAmbo University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Anemia is a public health problem affecting both developed and developing nations worldwide with a significant consequence on health and economic growth. The problem is more severe in pregnant women. Hence, the main purpose of this study was to determine the factors of anemia levels among pregnant women in zones in Ethiopia. Methods: We utilized data from 2005, 2011, and 2016 Ethiopian demographic and health survey (EDHSs), a population-based cross-sectional study. The study includes 8,421 pregnant women. An ordinal logistic regression model with spatial analysis was used to explore factors of anemia levels among pregnant women. Result: About 224 (2.7%), 1,442 (17.2%), and 1,327 (15.8%) pregnant women were mild, moderate, and severely anemic, respectively. The spatial autocorrelation of anemia among the administrative zones of Ethiopia for the three consecutive was not significant. The middle wealth index of 15.9% (OR = 0.841, CI: 0.72-0.983) and richest wealth index of 51% (OR = 0.49, CI: 0.409-0.586) were less likely anemic compared to the poorest wealth index, age group of mother 30-39 was 42.9% (OR = 0.571, CI: 0.359-0.908) times less likely to be moderate and above anemic compared to <20 years, several household members 4-6 were 51% (OR = 1.51, CI: 1.175-1.94 more likely moderate and above anemic compared to 1-3. Conclusion: Over one-third of the pregnant women (34.5%) were anemic in Ethiopia. Wealth index, age group, religion, region, number of household members, source of drinking water, and EDHS were significant factors in anemia levels. The prevalence of anemia among pregnant women varied among Ethiopian administrative zones. North West Tigray, Waghimra, Oromia special woreda, West shewa, and East shewa were a high prevalence of anemia.

Indexed as

AnemiaPregnant PeopleAdultCross-Sectional StudiesEthiopiaFemaleHumansMothersPregnancyYoung Adultanemia levelsEthiopiaordinal logistic regressionpartial proportional odds modelspatialzones

Identifiers

PMID36875390
PMCPMC9981153
OpenAlexW4321018528

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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.