Evidence map›Paper›PMID 42213580›Full record

ArticleWomen's health (London, England)

Exploring the quality and credibility of nutritional advice for menstrual health on instagram.

Eleanor Marks, Helen M Jones

Abstract read
In one paragraph

Article in Women's health (London, England). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Eleanor MarksSchool of Science, Coventry University, Coventry, UK.ORCID 0009-0003-8350-3200
Helen M JonesSchool of Science, Coventry University, Coventry, UK.ORCID 0000-0002-8600-7101

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundSocial media is a widely used source of health information, yet the quality and accuracy of shared content can vary. Menstrual and hormonal health are especially prone to misinformation, given their complexity, individual variability, and the limited strength and consistency of available research evidence. This study explored Instagram content related to nutrition and menstrual health, identifying commonly recurring themes and assessing the quality and credibility of the information by comparing claims with current evidence and examining account holder credentials.ObjectivesTo identify predominant content themes and evaluate the quality and credibility of nutrition-related menstrual health information on Instagram.DesignQualitative study using inductive content analysis.MethodsInstagram accounts posting nutrition content about hormonal and menstrual health were identified through a structured search conducted on 29/01/25, with the ten most recent posts per account analysed. Inductive content analysis was used to code 52 posts from eligible accounts into emerging themes using NVivo software.ResultsOf 50 Instagram accounts identified, 21 met inclusion criteria. Four main themes were identified: Marketing and Engagement Strategies; Nutrition and Dietary Recommendations; Hormonal and Physiological Claims; and Symptoms, Wellbeing and Lifestyle Factors. Across these themes, many posts included claims that were not fully supported by current scientific evidence or lacked important context and nuance, particularly those relating to hormonal regulation, cycle-based nutrition advice and supplementation.ConclusionFindings from this study suggest that nutrition-related Instagram content on menstrual health frequently includes claims that are not fully aligned with current evidence or are presented without sufficient context or nuance. These findings highlight the importance of critically evaluating online health information and the need for clearer, evidence-based guidance in this area.

Indexed as

Consumer Health InformationDiet, HealthyMenstruationSocial MediaWomen's HealthFemaleHumansQuality of Health Carecontent analysiscycle syncinghormone balancemenstrual cyclenutritionsocial media

Identifiers

PMID42213580
PMCPMC13221594

What OpenQuestion holds

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LicenceCC BY-NC
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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.