Evidence map›Paper›PMID 39928937›Full record

ArticleJMIR formative research2025

Social Media Use and Oral Health-Related Misconceptions in Saudi Arabia: Cross-Sectional Study.

Rahaf Hamdan BinHamdan, Salwa Abdulrahman Alsadhan, Arwa Zohair Gazzaz, AlBandary Hassan AlJameel

Abstract read
In one paragraph

Article in JMIR formative research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Instagram Use by Dental Schools in the Gulf Cooperation Council (GCC): A Content and Engagement Analysis.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2025
    Article
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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.

Rahaf Hamdan BinHamdanDepartment of Periodontics and Community Dentistry, College of Dentistry, King Saud University, Riyadh, Saudi Arabia.ORCID 0009-0000-8302-1293
Salwa Abdulrahman AlsadhanDepartment of Periodontics and Community Dentistry, College of Dentistry, King Saud University, Riyadh, Saudi Arabia.ORCID 0009-0005-1994-1358
Arwa Zohair GazzazDepartment of Periodontics and Community Dentistry, College of Dentistry, King Saud University, Riyadh, Saudi Arabia.ORCID 0000-0003-4458-1989
AlBandary Hassan AlJameelDepartment of Periodontics and Community Dentistry, College of Dentistry, King Saud University, Riyadh, Saudi Arabia.ORCID 0000-0002-4064-4789

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocial media has become a central tool in health communication, offering both opportunities and challenges. In Saudi Arabia, where platforms like WhatsApp, Snapchat, and Instagram are widely used, the quality and credibility of oral health information shared digitally remain critical issues. Misconceptions about oral health can negatively influence individuals' behaviors and oral health outcomes.

objectiveThis study aimed to describe the patterns of social media use and estimate the prevalence of oral health-related misconceptions among adults in Saudi Arabia. Additionally, it assessed the associations between engagement with oral health information, self-reported oral health, and the presence and count of these misconceptions.

methodsA cross-sectional survey was conducted over 10 weeks, targeting adults aged 15 years and older in Saudi Arabia. Data were collected from a total sample size (n=387) via a questionnaire distributed through targeted advertisements on Instagram, TikTok, Snapchat, and X (Twitter). The prevalence of oral health-related misconceptions was estimated using descriptive statistics, including counts and percentages. Chi-square tests described sociodemographic, social media engagement, and self-reported oral health. Logistic and Poisson regression analyses were used to assess associations between engagement and self-reported oral health with misconceptions. Logistic regression models provided odds ratios and adjusted odds ratios with 95% CI to assess the presence of oral health misconceptions. Poisson regression was used to calculate mean ratios and adjusted mean ratios (AMRs) for the count of misconceptions.

resultsWhatsApp (n=344, 89.8%) and Instagram (n=304, 78.9%) were the most frequently used social media platforms daily. Common oral health misconceptions included beliefs that "Pregnancy causes calcium loss in teeth" (n=337, 87%) and "Dental treatment should be avoided during pregnancy" (n=245, 63.3%). Following dental-specific accounts was significantly associated with lower odds of having any misconceptions (adjusted odds ratio 0.41, 95% CI 0.22-0.78) and a lower count of misconceptions (AMR 0.87, 95% CI 0.77-0.98). Conversely, trust in social media as a source of oral health information was associated with a higher count of misconceptions (AMR 1.16, 95% CI 1.02-1.31).

conclusionsSocial media platforms are essential yet double-edged tools for oral health information dissemination in Saudi Arabia. Participants who followed dental-specific accounts had significantly lower misconceptions, while trust in social media as a source of information was linked to higher counts of misconceptions. These findings highlight the importance of promoting credible content from verified sources to combat misconceptions. Strategic collaborations with dental professionals are necessary to enhance the dissemination of accurate oral health information and public awareness and reduce the prevalence of oral health-related misconceptions.

Indexed as

Health Knowledge, Attitudes, PracticeOral HealthSocial MediaAdolescentAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedSaudi ArabiaSelf ReportSurveys and QuestionnairesYoung Adultdigital healthhealth misinformationInstagramoral healthpublic healthSaudi ArabiaSnapchatsocial mediaTikTokTwitter

Identifiers

PMID39928937
PMCPMC11851047

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LicenceCC BY
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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.