Evidence map›Paper›PMID 41896200›Full record

ArticleBDJ open2026

A tool to measure the influence of social media on health behaviors: an exploratory study.

Chloé Rethaber, Clément Mathieu, Gabriel Fernandez de Grado, Damien Offner

Abstract read
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Article in BDJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Chloé RethaberFaculté de Chirurgie Dentaire, Université de Strasbourg, Strasbourg, France.
Clément MathieuFaculté de Chirurgie Dentaire, Université de Strasbourg, Strasbourg, France.
Gabriel Fernandez de GradoFaculté de Chirurgie Dentaire, Université de Strasbourg, Strasbourg, France.
Damien OffnerFaculté de Chirurgie Dentaire, Université de Strasbourg, Strasbourg, France. doffner@unistra.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSocial media is deeply embedded in our daily lives, particularly among younger generations. In the field of health, these platforms are both promising tools for prevention and channels for misinformation. This study aimed to develop and validate an exploratory measurement tool to quantify the influence of social media on health-related behaviors across three dimensions: social, economic, physical. STUDY

designCross-sectional survey using a self-administered 15-item questionnaire.

methodsItems of the questionnaire were developed from literature and refined through expert consensus to cover social, economic, and physical dimensions of influence. Participants were voluntarily recruited in hospital waiting rooms in France; a subset completed the tool twice for reliability (test/retest). Analyses included Pearson correlations, Cronbach's alpha, Intraclass Correlation Coefficients, and Multiple Correspondence Analysis to identify user profiles.

resultsData were collected from 110 participants aged 18 to 81. The instrument demonstrated excellent internal consistency (Cronbach's alpha = 0.9), strong test-retest reliability (ICC = 0.93), and high score fidelity (Pearson r = 0.87). MCA revealed three user clusters: non-influenced older adults using Facebook, moderately influenced youth using Snapchat, and highly influenced young adults under 35 using Instagram and TikTok. Women and younger participants were more influenced economically and physically.

conclusionsThis study highlights the growing influence of social media on health behaviors and introduces a reliable exploratory instrument to identify the most receptive populations. The tool can support targeted public health strategies and ethical engagement on digital platforms, especially for younger audiences frequently exposed to health-related content.

Identifiers

PMID41896200
PMCPMC13031869

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LicenceCC BY
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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.