Evidence map›Paper›PMID 41615629›Full record

ArticleEating and weight disorders : EWD2026

Eating behaviors in the digital age: the role of social media and healthy diet literacy.

Muhammet Ali Çakır, Selma Fırat

Abstract read
In one paragraph

Article in Eating and weight disorders : EWD, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. 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

2 authors.

Muhammet Ali ÇakırDepartment of Nutrition and Dietetics, Faculty of Health Sciences, Kırklareli University, Kırklareli, Turkey.ORCID http://orcid.org/0000-0001-5066-1956
Selma FıratDepartment of Nutrition and Dietetics, Faculty of Health Sciences, Kırklareli University, Kırklareli, Turkey. selmafirat@klu.edu.tr.ORCID http://orcid.org/0000-0003-1477-2194

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe growing use of social media has increased access to online health and nutrition information, which may influence individuals' eating behaviors. This study examined the relationship between digital healthy diet literacy, social media addiction, and eating behaviors among adults.

methodsThis cross-sectional study included 554 adults aged 18-64 years in Kırklareli, Türkiye. Data were collected through face-to-face interviews using a Personal Information Form, the Social Media Addiction Scale (SESMEB), the Bergen Social Media Addiction Scale (BSMAS), and the Digital Healthy Diet Literacy Scale (DHDL). Anthropometric measurements were obtained by the researchers.

resultsThe participants' mean age was 31.5 ± 10.4 years; 52% were female and 43.5% university graduates. SESMEB and BSMAS scores were higher among younger, single, and more educated individuals but lower among obese participants (p < 0.05). DHDL scores were higher in those with higher education, regular exercise, and sufficient income, but lower in obese participants (p < 0.05). Significant relationships were found between all scales and social media use characteristics (number of accounts, duration, importance of likes, participation in nutrition groups, and exposure to advertisements). Strong positive correlations were observed among SESMEB, BSMAS, and DHDL scores.

conclusionsSocial media addiction and digital healthy diet literacy are inter-related and may influence eating behaviors. Enhancing digital health and nutrition literacy may help reduce negative effects of social media and promote healthier eating habits. LEVEL OF EVIDENCE: Level III, cross-sectional analytic study.

Indexed as

Behavior, AddictiveDiet, HealthyFeeding BehaviorHealth LiteracySocial MediaAdolescentAdultCross-Sectional StudiesDigital MediaFemaleHumansMaleMedia ExposureMiddle AgedObesityYoung AdultAdultsDigital diet literacyEating behaviorHealthy nutritionSocial media addiction

Identifiers

PMID41615629
PMCPMC12901182

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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.