Evidence map›Paper›PMID 39669393›Full record

ArticleDigital health

Unraveling dental caries misinformation: Identifying predictive factors for engagement on Instagram.

Tamires Sá Menezes, Ana Maria Jucá, Olívia Santana Jorge, Matheus Lotto, Patricia Estefania Ayala Aguirre, Thiago Cruvinel

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. 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. Review
  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

6 authors.

Tamires Sá MenezesDepartment of Pediatric Dentistry, Orthodontics, and Public Health, Bauru School of Dentistry, University of São Paulo, Bauru, Brazil.
Ana Maria JucáDepartment of Pediatric Dentistry, Orthodontics, and Public Health, Bauru School of Dentistry, University of São Paulo, Bauru, Brazil.
Olívia Santana JorgeDepartment of Pediatric Dentistry, Orthodontics, and Public Health, Bauru School of Dentistry, University of São Paulo, Bauru, Brazil.
Matheus LottoDepartment of Pediatric Dentistry, Orthodontics, and Public Health, Bauru School of Dentistry, University of São Paulo, Bauru, Brazil.
Patricia Estefania Ayala AguirreOdontología, Universidad de Especialidades Espíritu Santo (UEES), Samborondón, Ecuador.
Thiago CruvinelDepartment of Pediatric Dentistry, Orthodontics, and Public Health, Bauru School of Dentistry, University of São Paulo, Bauru, Brazil.ORCID https://orcid.org/0000-0001-7095-908X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to identify predictive factors for engagement with dental caries-related posts on Instagram. Methods: Using CrowdTangle, 10,000 English-language posts were retrieved based on total interactions. From these, 2063 posts were evaluated using predetermined inclusion criteria, and a final sample of 500 posts was selected. Two independent investigators classified the posts according to dichotomized criteria: author profile (regular or commercial users), sentiment (positive or neutral/negative), motivation (financial or nonfinancial), format (link or photo), aim of content (prevention or treatment), and facticity (information or misinformation). Predictive factors for total interaction and overperforming scores were determined using multiple logistic regression models. Results: Misinformation accounted for 44% of posts. Most posts were shared by regular users (67.8%), used a photo format (61%), and expressed a positive sentiment (73.8%). Prevention-related posts were significantly related to financial motivation, while treatment-related posts were linked to time of publication, neutral/negative sentiment, and photo format. Older posts were positively associated with misinformation (odds ratio (OR) = 1.45). Positive sentiment (OR = 1.71) and regular user profiles (OR = 1.93) were associated with higher total interactions. In contrast, business profiles (OR = 2.39) and posts with neutral/negative sentiment (OR = 1.79) were associated with overperforming scores. Conclusion: Despite a significant amount of misinformation, only sentiment and author profiles were predictive factors for total interaction and overperforming scores in Instagram posts about dental caries.

Indexed as

eHealthinfodemiologyInstagraminternetmisinformationoral healthsocial media

Identifiers

PMID39669393
PMCPMC11635861

What OpenQuestion holds

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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.