Evidence map›Paper›PMID 38881547›Full record

ReviewFrontiers in psychiatry2024

Social networks use in the context of Schizophrenia: a review of the literature.

Carolina Suárez-Llevat, Beatriz Jiménez-Gómez, Carlos Ruiz-Núñez, Invención Fernández-Quijano, Eva María Rodriguez-González, Carlos de la Torre-Domingo, Iván Herrera-Peco

Abstract readReview
In one paragraph

Review in Frontiers in psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Carolina Suárez-Llevat *Psychology Department, Faculty of Medicine, Universidad Alfonso X El Sabio, Madrid, Spain.
Beatriz Jiménez-Gómez *Department of Nursing, Human Nutrition and Dietetics, Universidad Europea de Madrid, Madrid, Spain.
Carlos Ruiz-NúñezProgram in Biomedicine, Translational Research and New Health Technologies, School of Medicine, University of Malaga, Malaga, Spain.
Invención Fernández-QuijanoPsychology Department, Faculty of Medicine, Alfonso X el Sabio University, Madrid, Spain.
Eva María Rodriguez-GonzálezFaculty of Health Sciences, Universidad Alfonso X el Sabio, Madrid, Spain.
Carlos de la Torre-DomingoFaculty of Health Sciences, Universidad Alfonso X el Sabio, Madrid, Spain.
Iván Herrera-PecoFaculty of Health Sciences, Universidad Alfonso X el Sabio, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Schizophrenia is a persistent mental health condition that, while presenting challenges, underscores the dynamic nature of cognitive functions and encourages a unique perspective on how individuals engage with their surroundings. Social networks, as a means of communication of great importance at the present time, are for this type of people a way of interacting with their environment with a high level of security. The aim is to find out how schizophrenia is dealt with in different social networks and to differentiate between different types of articles dealing with the use of Facebook, X (former Twitter), YouTube, TikTok, Instagram, and Weibo. A total of 45 articles to i) Social networks used, ii) Country of analyzed users, iii) age of the users analyzed, iv) focus of the analyzed manuscript (mental health literacy, stigmatization, detection of patterns associated with schizophrenia, and Harmful substance use). It was observed that 45.45% of the studies analyzed were conducted in the USA population, followed by UK and China (13.64%). The most analyzed social networks were those based on audiovisual communication (60%). Furthermore, the two main foci addressed in these articles were: stigmatization of schizophrenia with 16 articles (35.55%), following by the prediction of schizophrenia-detecting patterns with 15 articles (33.33%) and the use of social networks to stigmatize people with schizophrenia (38%) and only 14 articles (31.11%) were focused on mental health literacy. Likewise, it was found that there is great potential in the use of the analysis of the content generated, as possible predictors of the presence of this disease, which would allow rapid detection and intervention for psychosis and schizophrenia.

Indexed as

disinformationhealth literacymental healthschizophreniasocial networks

Identifiers

PMID38881547
PMCPMC11177301

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.