Evidence map›Paper›PMID 39799328›Full record

ArticleMalaria journal2025

Factors associated with malaria in pregnancy among women attending ANC clinics in selected districts of the Ashanti Region, Ghana.

Emmanuel Abu Bonsra, Petra Amankwah Osei, Emmanuel Adjei Kyeremeh, Stephen Adama, Akua Grace Sekyi, Elsie Fafa King

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Article in Malaria journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

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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

6 authors.

Emmanuel Abu BonsraDepartment of Population and Behavioural Sciences, Fred N. Binka School of Public Health, University of Health and Allied Sciences, Hohoe, Ghana. emmanuelabubonsra14@gmail.com.
Petra Amankwah OseiFamily and Community Health, Fred N. Binka School of Public Health, University of Health and Allied Sciences, Hohoe, Ghana.
Emmanuel Adjei KyeremehDepartment of Epidemiology and Biostatics, Fred N. Binka School of Public Health, University of Health and Allied Sciences, Hohoe, Ghana.
Stephen AdamaDepartment of Population and Behavioural Sciences, Fred N. Binka School of Public Health, University of Health and Allied Sciences, Hohoe, Ghana.
Akua Grace SekyiDepartment of Population and Behavioural Sciences, Fred N. Binka School of Public Health, University of Health and Allied Sciences, Hohoe, Ghana.
Elsie Fafa KingFamily and Community Health, Fred N. Binka School of Public Health, University of Health and Allied Sciences, Hohoe, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalaria is a disease deeply rooted in poverty. Malaria in pregnant women leads to severe complications, including low birth weight and neonatal mortality, which can adversely affect both mother and child. This study aimed to identify the factors associated with malaria in pregnancy among women attending antenatal care (ANC) clinics in three districts of the Ashanti Region, Ghana.

methodsA cross-sectional study was conducted among 1215 pregnant women selected through multi-stage sampling. Data were collected using structured questionnaires and analysed using descriptive and inferential statistics, including regression analysis.

resultsThe self-reported prevalence of at least one episode of malaria was 76.7% (95% CI [74.1-79.3%]). Age, education, marital status, income, and religion were significantly associated with the prevalence of malaria among pregnant women, with a p-value < 0.001. Pregnant women aged 17-25 years were 10.26 times more likely to have malaria compared to other age groups (aOR = 10.26, 95% CI [4.52-11.05], p = 0.000). Women with no formal education had higher odds of malaria, being 15.10 times more likely to have malaria compared to those with tertiary education (aOR = 15.10, 95% CI [7.32-16.78], p = 0.002). Women not using insecticide-treated bed nets (ITNs) were 20 times more likely to have malaria compared to those who used ITNs (aOR = 20.0, 95% CI [7.04-21.03], p = 0.000).

conclusionAge, education, marital status, income, religion and insecticide-treated bed net (ITN) use significantly influence malaria prevalence in pregnancy. To achieve SDG 3 (Good Health and Well-being), particularly Target 3.1 (reducing maternal mortality) and Target 3.3 (ending malaria), the Ghana Health Service and Ministry of Health should prioritize expanding ITN distribution, educational campaigns, and targeted support for vulnerable groups to reduce malaria prevalence during pregnancy and improve maternal health outcomes.

Indexed as

MalariaPregnancy Complications, ParasiticPrenatal CareAdolescentAdultCross-Sectional StudiesFemaleGhanaHumansMiddle AgedPregnancyPrevalenceRisk FactorsSocioeconomic FactorsYoung AdultFactorsGhanaInsecticide-treated bed netsMalariaPregnancyPrevalence

Identifiers

PMID39799328
PMCPMC11724469

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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.