Evidence map›Paper›PMID 41291605›Full record

ArticleBMC public health2025

Factors associated with exclusive breastfeeding among infants of working mothers in Ghana: a secondary analysis of the 2022 demographic and health survey.

Christiana Lokko, Jonathan Sackey, Francis Lokko, Cynthia Ama Mensah

Abstract read
In one paragraph

Article in BMC public health, 2025. 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

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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

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

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.

Christiana LokkoDepartment of Mathematics, Statistics and Actuarial Science, Takoradi Technical University, Sekondi-Takoradi, Ghana.ORCID http://orcid.org/0000-0001-8837-1217
Jonathan SackeyDepartment of Mathematics, Statistics and Actuarial Science, Takoradi Technical University, Sekondi-Takoradi, Ghana. 0720020009@ttu.edu.gh.ORCID http://orcid.org/0009-0009-5486-8546
Francis LokkoDirectorate of Religious Affairs, Armed Forces, Accra, Ghana.
Cynthia Ama MensahDepartment of Mathematics, Statistics and Actuarial Science, Takoradi Technical University, Sekondi-Takoradi, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExclusive breastfeeding (EBF) plays a crucial role in reducing infant morbidity and mortality, contributing significantly to optimal infant growth and development. The World Health Organisation (WHO) recommends EBF for the first six months of life to ensure infants receive essential nutrients and immunity, particularly in developing countries.

objectiveThis study aims to examine the determinants of exclusive breastfeeding among infants 0-6 months of working mothers in Ghana.

methodsThis study employed a cross-sectional analytical design using nationally representative data. After data cleaning and application of sampling weights, the final sample comprised 347 infants aged 0-6 months born to working mothers. An adjusted logistic regression model was used to identify factors associated with exclusive breastfeeding, accounting for stratification and the complex survey design.

resultsThe prevalence of exclusive breastfeeding among infants of working mothers in the study was 86.31%. The majority of mothers were aged 25-34 years, with over half having attained secondary education. Antenatal care attendance, maternal education, maternal age, size of child, sex of child, parity, sex of household head, marital status, ethnicity and religion were found to be significant predictors of EBF. However, media exposure, mode of delivery and maternal breast cancer screening history showed no significant association with EBF practices.

conclusionExclusive breastfeeding prevalence among working mothers in Ghana was relatively high. Strengthening antenatal care services, promoting maternal education and targeting key socio-demographic groups may further sustain and improve exclusive breastfeeding practices to enhance child health outcomes.

Indexed as

Breast FeedingWomen, WorkingAdolescentAdultCross-Sectional StudiesFemaleGhanaHealth SurveysHumansInfantInfant, NewbornMaleSocioeconomic FactorsYoung AdultExclusive breastfeedingNatural birthSDG 3Working mothers

Identifiers

PMID41291605
PMCPMC12645721

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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.