Evidence map›Paper›PMID 42221519›Full record

ArticleDigital health

Framing online reactions to FIFA's anterior cruciate ligament-menstrual cycle study announcement: A multi-platform social media analysis.

Samantha A D'Agostino-Pinto, Sara Santarossa, Cathryn D Peltz, Paige Coyne

Abstract read
In one paragraph

Article in Digital health. 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

4 authors.

Samantha A D'Agostino-PintoDepartment of Public Health Sciences, Henry Ford Health, Detroit, MI, USA.
Sara SantarossaDepartment of Public Health Sciences, Henry Ford Health, Detroit, MI, USA.
Cathryn D PeltzDepartment of Public Health Sciences, Henry Ford Health, Detroit, MI, USA.
Paige CoyneDepartment of Public Health Sciences, Henry Ford Health, Detroit, MI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: As social media continues to rapidly evolve, understanding public participation in discourse and ensuring accurate interpretation has become increasingly vital. The widespread incidence of anterior cruciate ligament (ACL) injuries in female soccer players, including many high-profile athletes, has prompted calls for research into potential risk factors and preventative strategies. In response to this growing concern, on April 29, 2025, a research collaboration between the Fédération Internationale de Football Association (FIFA) and Kingston University was announced, aiming to examine the relationship between ACL injuries and the menstrual cycle in female soccer players. Methods: This study utilizes framing theory to provide critical insight into the presentation and debate of public discourse regarding FIFA's ACL-menstrual cycle study announcement and examine how those reactions were framed. Comments were exported from the collaborative post by ESPN, ESPNW, and ESPNFC on Instagram, X (formerly Twitter), and Facebook. Human coding was used to identify prominent frames by which each comment was then coded to fall under. Results: The following frames were identified from the comments: Denial, Encouragement, Timeliness, and Male Centricity, with Denial encompassing the largest number of comments across all three datasets. Conclusions: This study highlights the public discourse around sex-specific health topics and highlights the importance of intentional communication strategies when disseminating health information on social networking sites.

Indexed as

injuryinternetnetworkingsocial mediawomens health

Identifiers

PMID42221519
PMCPMC13219932

What OpenQuestion holds

Textmetadata
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.