Evidence map›Paper›PMID 39692140›Full record

ArticleJournal of human lactation : official journal of International Lactation Consultant Association2025

Breastfeeding Measurement - Considerations When Measuring Exclusive Breastfeeding.

Ellen Chetwynd, Jill Demirci, Jennifer Yourkavitch

Abstract read
In one paragraph

Article in Journal of human lactation : official journal of International Lactation Consultant Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 authors.

Ellen ChetwyndDepartment of Family Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID 0000-0001-5611-8778
Jill DemirciDepartment of Health Promotion and Development, School of Nursing, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0002-4802-7849
Jennifer YourkavitchIndependent, Carrboro, NC, USA.ORCID 0000-0002-7701-1918

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exclusive breastfeeding, as recommended by the World Health Organization (WHO) for the first 6 months of life, is a critical metric for evaluating maternal and infant feeding practices and health outcomes. Despite its importance, inconsistencies in defining and measuring breastfeeding exclusivity present challenges for research comparability and interpretation. Equally, research design, outcomes of interest, and study resources are necessary considerations when collecting and analyzing exclusive breastfeeding data, and may require the adaption of standardized questions and techniques to individual situations. This paper explores key considerations for researchers when operationalizing and measuring exclusive breastfeeding. We address the nuances of point prevalence and since-birth measures, highlighting their influence on study outcomes and data interpretation. Statistical approaches for analyzing exclusivity data, including logistic regression, survival analysis, and Kaplan-Meier methods, are also discussed. By outlining best practices for precise definitions, tailored data collection, and transparent reporting, this paper aims to provide an overview for precise definition, effective data collection, and clear interpretation.

Indexed as

Breast FeedingFemaleHumansInfantInfant, NewbornResearch DesignWorld Health Organizationbreastfeedingbreastfeeding metricsbreastfeeding prevalencebreastfeeding ratesexclusive breastfeedinginfant feeding practiceslactation surveysmaternal recall

Identifiers

PMID39692140
PMCPMC11829495

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.