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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Oct 14, 2025
Open Peer Review Period: Oct 15, 2025 - Dec 10, 2025
Date Accepted: Mar 3, 2026
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Interpretations of Menstrual Blood Appearance and Diagnostic Potential Among Social Media Users: Cross-Sectional Mixed Methods Social Media Listening Study

Niedermeier R, Castelletti N, Bender A, Hoelscher M, Ivanova O

Interpretations of Menstrual Blood Appearance and Diagnostic Potential Among Social Media Users: Cross-Sectional Mixed Methods Social Media Listening Study

J Med Internet Res 2026;28:e85550

DOI: 10.2196/85550

PMID: 42081739

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Exploring Menstrual Blood Narratives on Social Media: A Social Media Listening Analysis on Facebook, Reddit, Instagram and TikTok

  • Ruth Niedermeier; 
  • Noemi Castelletti; 
  • Andreas Bender; 
  • Michael Hoelscher; 
  • Olena Ivanova

ABSTRACT

Background:

Menstrual blood (MB) has historically been treated as a hygiene issue, largely excluded from clinical discourse and diagnostic consideration. However, menstruating individuals are increasingly discussing the appearance of MB online, particularly on social media platforms, where they seek advice, share experiences, and assign health-related meaning to menstrual characteristics.

Objective:

This study aimed to examine how MB is represented in social media discourse and to explore individuals’ perceptions of its potential use as a diagnostic tool.

Methods:

A qualitative social media listening study was conducted using data collected from TikTok, Facebook, Instagram, and Reddit via Mention and Apify. After transcription and filtering, 349 posts were included in the final dataset. Data were coded and analysed using Atlas.ti, with additional network and sentiment analyses conducted to identify patterns and associations.

Results:

Most posts originated from Reddit and Facebook, with a majority focused on seeking help. Descriptions of MB centred on colour (especially brown, bright red, pink, and black), consistency (notably coagulation), and, to a lesser extent, smell. These visual and sensory attributes were frequently associated with self-assessed health conditions—including endometriosis, miscarriage, hormonal changes, and infections—as well as with perceived fluctuations in the normal menstrual cycle. Discussion of MB as a diagnostic tool was less frequent but predominantly positive, highlighting interest in non-invasive, home-based diagnostics.

Conclusions:

Social media users already engage in informal diagnostic reasoning based on MB appearance. These lay insights offer valuable clues to clinicians and researchers, suggesting the need to integrate patient-described menstrual characteristics into diagnostic frameworks.


 Citation

Please cite as:

Niedermeier R, Castelletti N, Bender A, Hoelscher M, Ivanova O

Interpretations of Menstrual Blood Appearance and Diagnostic Potential Among Social Media Users: Cross-Sectional Mixed Methods Social Media Listening Study

J Med Internet Res 2026;28:e85550

DOI: 10.2196/85550

PMID: 42081739

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