Evidence map›Paper›PMID 42820139›Full record

ArticleAnemia2026

Prevalence and Risk Factors of Maternal Anemia Among Pregnant Women in Central Jordan.

Noor Abu Eid, Omar Abueed, Maya Abuarayes, Reham Khresheh

Abstract read
In one paragraph

Article in Anemia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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.

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Noor Abu EidFaculty of Nursing Mutah University Mu'tah Jordan mutah.edu.jo.ORCID https://orcid.org/0009-0004-7538-4798
Omar AbueedSchool of Systems Science and Industrial Engineering Binghamton University Binghamton New York USA binghamton.edu.ORCID https://orcid.org/0000-0002-7942-6383
Maya AbuarayesSchool of Systems Science and Industrial Engineering Binghamton University Binghamton New York USA binghamton.edu.ORCID https://orcid.org/0009-0002-2528-8058
Reham KhreshehFaculty of Nursing Mutah University Mu'tah Jordan mutah.edu.jo.ORCID https://orcid.org/0000-0003-4656-3290

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maternal anemia remains one of the most significant public health issues, particularly in low-to-middle-income countries. The World Health Organization reported a maternal anemia prevalence of 37% among women of reproductive age; this rate is further inflated in developing countries. This cross-sectional analytical study aimed to estimate the prevalence of maternal anemia and assess its associated risk factors among pregnant women receiving maternity services in central Jordan. Data collection was conducted using validated self-administered questionnaires administered to 297 pregnant women receiving medical care at three medical facilities during the period between August and November of 2023. The questionnaire examined several domains related to maternal anemia, including sociodemographic characteristics, pregnancy profile, reproductive history, nutritional habits, hemoglobin levels, and evaluated the knowledge level of anemia among pregnant women. Statistical analyses were conducted using the Statistical Package for the Social Sciences (SPSS), with multivariable logistic regression as the primary inferential model, supplemented by a multilayer perceptron neural network to validate predictor consistency. The models achieved an accuracy of 73.0% and 71.1%, respectively. The results revealed that approximately half of the participants (52.5%) were anemic. A multivariable logistic regression was used to identify the associated risk factors for maternal anemia. Anemia is more likely to develop in later stages of pregnancy (odds ratio [OR] = 1.69, 95% confidence interval [CI] 1.036-2.771) and among women with a high number of abortions (OR = 6.33, 95% [CI] 1.314-13.515), whereas the use of nutritional supplements was a protective factor (OR = 0.104, 95% [CI] 0.013-0.858). These results highlight the urgent need for strengthened antenatal screening protocols and targeted nutritional interventions, particularly for women in later stages of pregnancy and those with a history of abortions.

Indexed as

antenatal careiron deficiencymaternal anemiamaternal healthpregnancy outcomespublic health interventionsrisk factors

Identifiers

PMID42820139
PMCPMC13626144

What OpenQuestion holds

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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.