Evidence map›Paper›PMID 41383384›Full record

ArticleFrontiers in digital health2025

Dissecting the difference between positive and negative brain health sentiment using X data.

Piotr Religa, Michel-Edwar Mickael, Marzena Łazarczyk, Norwin Kubick, Ibrahim F Rehan, Jarosław Olav Horbańczuk, Asmaa Elnagar, Mariusz Sacharczuk, Atanas G Atanasov

Abstract read
In one paragraph

Article in Frontiers in digital health, 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

9 authors.

Piotr Religa *Department of Medicine, Karolinska Institute, Solna, Sweden.
Michel-Edwar Mickael *Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences, Jastrzebiec Magdalenka, Poland.
Marzena ŁazarczykInstitute of Genetics and Animal Biotechnology of the Polish Academy of Sciences, Jastrzebiec Magdalenka, Poland.
Norwin KubickDepartment of Biology, Institute of Plant Science and Microbiology, University of Hamburg, Hamburg, Germany.
Ibrahim F RehanInstitute of Genetics and Animal Biotechnology of the Polish Academy of Sciences, Jastrzebiec Magdalenka, Poland.
Jarosław Olav HorbańczukInstitute of Genetics and Animal Biotechnology of the Polish Academy of Sciences, Jastrzebiec Magdalenka, Poland.
Asmaa ElnagarInstitute of Genetics and Animal Biotechnology of the Polish Academy of Sciences, Jastrzebiec Magdalenka, Poland.
Mariusz SacharczukInstitute of Genetics and Animal Biotechnology of the Polish Academy of Sciences, Jastrzebiec Magdalenka, Poland.
Atanas G AtanasovDepartment of Medicine, Karolinska Institute, Solna, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Human behavior is significantly influenced by emotions, with negative sentiments such as fear and anxiety driving various coping mechanisms, including cognitive behavioral therapy (CBT), dietary changes, and medication use. Social media platforms like X (formerly Twitter) offer valuable insights into these behaviors due to their real-time, user-generated content. While previous research has explored general sentiment on X (formerly Twitter), there has been limited focus on the reasons behind negative sentiments and the coping strategies employed, particularly in relation to brain health. Methods: We analyzed 390,000 X-posts tagged with #brain and #health, categorizing them into positive, negative, and neutral sentiments. We then investigate the use of CBT techniques, dietary adjustments, and specific medications across these sentiments. Results: Our findings reveal distinct patterns in how negative and positive sentiments are expressed and managed on social media. Negative sentiments are often linked to serious health concerns, such as COVID-19 and brain inflammation, and exhibit various cognitive distortions. These X-posts also mention coping strategies like using medications such as lorazepam and simvastatin, or consuming comfort foods like pizza. In contrast, positive sentiments emphasize resilience and improvement, with mentions of mindfulness, supplements, and medications like doxycycline and pregabalin. The study also highlights the risk of disseminating information about dietary and drug supplements that may not be suitable for public use due to serious side effects, such as Chaga mushrooms, which, despite being associated with positive sentiment, are known to cause renal failure in certain cases. Conclusion: Overall, the study profiles the use of positive and negative brain health sentiment of X, which underscores both the advantages and risks of using X (formerly Twitter) as a platform for sharing brain health-related information.

Indexed as

brain healthcognitive behavioral therapycoping strategiesmedication and dietsentiment analysissocial media

Identifiers

PMID41383384
PMCPMC12690490

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.