Evidence map›Paper›PMID 39482736›Full record

ArticleBMC psychology2024

Exploring the effects of social media on body dysmorphic disorder among citizens of Bahrain: a cross-sectional study.

Fatima Buali, Jamil Ahmed, Haitham Jahrami

Abstract read
In one paragraph

Article in BMC psychology, 2024. 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

3 authors.

Fatima BualiCollege of Medicine and Health Sciences, Arabian Gulf University, Manama, Bahrain.ORCID http://orcid.org/0009-0001-6286-7836
Jamil AhmedCollege of Medicine and Health Sciences, Arabian Gulf University, Manama, Bahrain.ORCID http://orcid.org/0000-0002-3635-7912
Haitham JahramiCollege of Medicine and Health Sciences, Arabian Gulf University, Manama, Bahrain. haitham.jahrami@outlook.com.ORCID http://orcid.org/0000-0001-8990-1320

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study assessed the relationship between social media use and body dysmorphic disorder (BDD). We calculated the prevalence of BDD in our sample and explored factors that may be associated with BDD. Various factors that we explored include sociodemographic characteristics, body image perceptions, and specific social media platforms used. The key focus of our study is understanding the impact of social media on mental health, specifically in the context of BDD.

methodsThis was a cross-sectional online survey that included the standardized Body Dysmorphic Disorder Questionnaire (BDDQ). Data on social media use were collected through self-reported usage patterns. Statistical analysis was conducted to identify associations.

resultsIncreased overall social media use was associated with BDD (p = 0.030). The prevalence of BDD in our sample was 1.8%. Age, being single and being a student were associated with BDD, with p values of 0.004, 0.023, and < 0.001, respectively. BDD was associated with comparing one's body image with that of people on social media (p = 0.001). BDD was associated with judging other people based on their appearance (p < 0.001). Using social media in the fields of celebrities (p = 0.020), fashion (p = 0.025), music and songs (p < 0.001) were associated with BDD.

conclusionsIncreased social media use is associated with BDD, but different patterns of social media use may affect this relationship, indicating the need for further research in this field.

Indexed as

Body Dysmorphic DisordersSocial MediaAdolescentAdultBahrainBody ImageCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceSurveys and QuestionnairesYoung AdultBody dysmorphic disorderCross-sectional studyDigital wellbeingPsychiatrySocial media

Identifiers

PMID39482736
PMCPMC11529479

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.