Evidence mapPaperPMID 41947098Full record

ArticleBMC public health2026

Associations between digital healthy diet literacy, artificial intelligence attitudes, mediterranean diet adherence, and health-related quality of life in adults.

Ümmügülsüm Güler, Özge Mengi̇ Çeli̇k, Emine Nefise Başpınar, Elif Deği̇rmenci̇oğlu, Binnaz Eser, Dila Serenli̇oğlu, Gülnur Kılıç, İrem Gençoğlu, Melike Kaya, Yaprak Sarıteke

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In one paragraph

Article in BMC public health, 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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0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Ümmügülsüm GülerDepartment of Nutrition and Dietetics, Gülhane Health Sciences Institute, University of Health Sciences, Ankara, Türkiye, Turkey.ORCID http://orcid.org/0009-0001-3352-6047
Özge Mengi̇ Çeli̇kDepartment of Nutrition and Dietetics, Gülhane Health Sciences Faculty, University of Health Sciences, Ankara, Türkiye, Turkey. ozgeemengi@gmail.com.ORCID http://orcid.org/0000-0002-0298-9591
Emine Nefise BaşpınarDepartment of Nutrition and Dietetics, Gülhane Health Sciences Institute, University of Health Sciences, Ankara, Türkiye, Turkey.ORCID http://orcid.org/0009-0007-5073-0959
Elif Deği̇rmenci̇oğluDepartment of Nutrition and Dietetics, Gülhane Health Sciences Institute, University of Health Sciences, Ankara, Türkiye, Turkey.ORCID http://orcid.org/0009-0005-5332-8493
Binnaz EserDepartment of Nutrition and Dietetics, Gülhane Health Sciences Institute, University of Health Sciences, Ankara, Türkiye, Turkey.ORCID http://orcid.org/0009-0007-7584-6763
Dila Serenli̇oğluDepartment of Nutrition and Dietetics, Gülhane Health Sciences Institute, University of Health Sciences, Ankara, Türkiye, Turkey.ORCID http://orcid.org/0009-0000-0056-7224
Gülnur KılıçDepartment of Nutrition and Dietetics, Gülhane Health Sciences Institute, University of Health Sciences, Ankara, Türkiye, Turkey.ORCID http://orcid.org/0009-0004-6413-1074
İrem GençoğluDepartment of Nutrition and Dietetics, Gülhane Health Sciences Institute, University of Health Sciences, Ankara, Türkiye, Turkey.ORCID http://orcid.org/0009-0009-9426-2135
Melike KayaDepartment of Nutrition and Dietetics, Gülhane Health Sciences Institute, University of Health Sciences, Ankara, Türkiye, Turkey.ORCID http://orcid.org/0009-0007-6212-2985
Yaprak SarıtekeDepartment of Nutrition and Dietetics, Gülhane Health Sciences Institute, University of Health Sciences, Ankara, Türkiye, Turkey.ORCID http://orcid.org/0009-0002-9007-6633

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIn the digital age, the ability to critically evaluate online nutritional information is of paramount importance. This study aimed to examine the relationships between digital healthy diet literacy (DHDL), attitudes towards artificial intelligence (AI), adherence to the Mediterranean Diet (MD), and the physical and mental components of health-related quality of life in adults.

methodsThis cross-sectional study was conducted in Ankara, Turkey, using snowball sampling and a web-based questionnaire; 1240 adults (740 women, 500 men) aged 18–65 were included in the study. Data were collected through a web-based questionnaire that included demographic information, self-reported anthropometric measurements, and validated scales. The scales used include: Digital Eating Literacy Scale, Attitudes toward Artificial Intelligence Scale, Short Form-12 Quality of Life Scale (SF-12), and Mediterranean Diet Adherence Scale (MEDAS).

resultsDHDL scores showed significant positive correlations with AI attitude scores (r = 0.195), the physical (r = 0.218) and mental (r = 0.291) components of health-related quality of life, and MD adherence (r = 0.206) (p < 0.001 for all). Similarly, higher attitudes toward AI were significantly associated with better MD adherence (r = 0.250) and higher physical (r = 0.138) and mental (r = 0.129) quality of life. Linear regression analyses indicated that demographic and socioeconomic factors such as gender, age, marital status, education and income level, and employment status were significant predictors of digital healthy diet literacy (DHDL), AI attitudes, Physical Component Summary-12 (PCS-12), Mental Component Summary-12 (MCS-12), and MEDAS scores (p < 0.05).

conclusionsHigh DHDL levels, positive attitudes toward AI, and high adherence with MD are interrelated and positively correlated with better health-related quality of life. In public health strategies, incorporating holistic interventions that improve DHDL, encourage positive interaction with AI-based health tools, and support adherence to evidence-based dietary patterns such as the MD may contribute to improved overall well-being.

Indexed as

Artificial IntelligenceDiet, HealthyDiet, MediterraneanHealth LiteracyPatient ComplianceQuality of LifeAdolescentAdultAgedCross-Sectional StudiesDigital HealthDigital MediaFemaleHumansMaleMiddle AgedArtificial intelligenceDigital health diet literacyHealth-related quality of lifeMediterranean diet

Identifiers

PMID41947098
PMCPMC13192162

What Socratic 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 Socratic graph.