Evidence map›Paper›PMID 38286977›Full record

ArticleJournal of racial and ethnic health disparities2025

Representation Matters: Content Analysis of Breastfeeding Images in a Commercial Stock Image Bank.

Lauren M Dinour, Melanie Shefchik

Open access · hybridAbstract read
In one paragraph

Article in Journal of racial and ethnic health disparities, 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
0.8field-weighted citation impact, top 30% 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

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, 2 citations in OpenAlex.

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

2 authors at 1 institution in 1 country.

Lauren M DinourDepartment of Nutrition and Food Studies, Montclair State University, Montclair, NJ, USA. DinourL@montclair.edu.ORCID 0000-0002-4638-6178
Melanie ShefchikDepartment of Public Health, Montclair State University, Montclair, NJ, USA.ORCID 0009-0006-5725-7669
Montclair State University · US

Funding

Montclair State University Fiscal Year 2023 Student Faculty Scholarship
6 · The paper itself

Abstract

Several behavioral change theories posit that normative influences contribute to breastfeeding behaviors and disparities. Given that media has historically presented a narrow view of what is deemed normative in human milk feeding, this study describes who and what is represented in breastfeeding images available in a stock image bank, and whether differences exist based on the breastfeeding parent's skin color. Using content analysis, the most relevant 2% (n = 2284) of breastfeeding and lactation images in Adobe Stock were coded for 60 variables within 12 categories, such as skin color, ability, setting, skin exposure, etc. Descriptive statistics were used to characterize the sample, and the Chi-square test of independence and Mann-Whitney U test were used to compare images of breastfeeding parents with light and non-light skin color. Most images portrayed breastfeeding parents and breastfed children with light colored skin, only one child, an infant-aged child, and no other person. Scant images included accessories considered non-normative. Light skin parents were more frequently depicted with a wedding ring compared to non-light skin parents. Non-light skin parents were more often photographed outdoors compared to light skin parents. Images of light skin parents more frequently showed breast skin, whereas images of non-light skin parents more often showed nipple and/or areola skin. The paucity of diverse people and portrayals of breastfeeding in many ways mirror, and may even perpetuate, societal breastfeeding challenges and inequities. These findings highlight an immediate need for an expanded library of images showcasing a wider variety of breastfeeding experiences.

Indexed as

Breast FeedingParentsPhotographySkin PigmentationAdultFemaleHumansInfantMaleBreastfeedingContent AnalysisImageLactationRepresentationSkin Color

Identifiers

PMID38286977
PMCPMC11913950
OpenAlexW4391309363

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.