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Positive and Negative Attitudes Toward Artificial Intelligence and E-Healthy Diet Literacy Among Adults: A Partial Least Squares Structural Equation Modeling Study.

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Τίτλος: Positive and Negative Attitudes Toward Artificial Intelligence and E-Healthy Diet Literacy Among Adults: A Partial Least Squares Structural Equation Modeling Study.
Συγγραφείς: Özenir Ç; Department of Nutrition and Dietetics, Kırıkkale University, 71100 Kırıkkale, Türkiye., Altınsoy C; Department of Nutrition and Dietetics, Recep Tayyip Erdoğan University, 53100 Rize, Türkiye., Çubuk M; Department of Nutrition and Dietetics, Erzincan Binali Yıldırım University, 24100 Erzincan, Türkiye., Kılınç FN; Department of Nutrition and Dietetics, Kırıkkale University, 71100 Kırıkkale, Türkiye., Çakır B; Department of Nutrition and Dietetics, Kırıkkale University, 71100 Kırıkkale, Türkiye.
Πηγή: Nutrients [Nutrients] 2026 Sep 07; Vol. 18 (17). Date of Electronic Publication: 2026 Sep 07.
Τύπος έκδοσης: Journal Article
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: MDPI Publishing Country of Publication: Switzerland NLM ID: 101521595 Publication Model: Electronic Cited Medium: Internet ISSN: 2072-6643 (Electronic) Linking ISSN: 20726643 NLM ISO Abbreviation: Nutrients Subsets: MEDLINE
Imprint Name(s): Original Publication: Basel, Switzerland : MDPI Publishing
Ιατρικοί όροι (MeSH): Diet, Healthy*/psychology , Artificial Intelligence* , Health Literacy* , Health Knowledge, Attitudes, Practice*, Humans ; Adult ; Female ; Male ; Middle Aged ; Cross-Sectional Studies ; Young Adult ; Surveys and Questionnaires ; Least-Squares Analysis ; Reproducibility of Results
Περίληψη: Background/Objectives: This study aimed to examine the association between e-healthy diet literacy (e-HDL) and general attitudes toward artificial intelligence (AI) among adults. Methods: This cross-sectional study included 610 adults aged 19-64 years. Data were collected through face-to-face interviews using a questionnaire consisting of five sections, including sociodemographic characteristics, digital nutrition information practices, AI use in nutrition and dietetics, the e-Healthy Diet Literacy Questionnaire (e-HDLQ), and the General Attitudes toward Artificial Intelligence Scale (GAAIS). Descriptive statistics, validity and reliability analyses, correlation analyses, and Partial Least Squares Structural Equation Modeling (PLS-SEM) were performed. Statistical significance was accepted at p < 0.05. Results: The mean age of the participants was 33.07 ± 11.36 years, and 50.8% were female. The measurement model demonstrated acceptable reliability and convergent validity. Structural model analysis showed that positive attitudes toward AI were positively associated with e-HDL (β = 0.243, p < 0.001), whereas negative attitudes toward AI were negatively associated with e-HDL (β = -0.232, p < 0.001). Among the e-HDLQ dimensions, the strongest loading was observed for finding e-healthy diet information (β = 0.844), followed by applying e-healthy diet information (β = 0.641), digital healthy eating literacy (β = 0.636), judging e-healthy diet information (β = 0.308), and understanding e-healthy diet information (β = 0.277). Together, positive and negative attitudes toward AI explained 12.2% of the variance in e-HDL (R2 = 0.122), indicating a modest explanatory contribution. Conclusions: Positive and negative attitudes toward AI were independently associated with e-HDL among adults. Although the explained variance was modest, AI attitudes may represent one of several factors associated with digital nutrition literacy, warranting further investigation in future studies.
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Health Promot Int. 2021 Mar 12;36(1):20-33. (PMID: 32267935)
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Grant Information: 020260070210513 Recep Tayyip Erdoğan University
Contributed Indexing: Keywords: PLS-SEM; artificial intelligence; digital nutrition literacy; e-healthy diet literacy; general attitudes toward artificial intelligence; nutrition literacy
Entry Date(s): Date Created: 20260915 Date Completed: 20260915 Latest Revision: 20260916
Update Code: 20260916
PubMed Central ID: PMC13567288
DOI: 10.3390/nu18172931
PMID: 42739102
Βάση Δεδομένων: MEDLINE
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  Data: Positive and Negative Attitudes Toward Artificial Intelligence and E-Healthy Diet Literacy Among Adults: A Partial Least Squares Structural Equation Modeling Study.
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  Data: Background/Objectives: This study aimed to examine the association between e-healthy diet literacy (e-HDL) and general attitudes toward artificial intelligence (AI) among adults. Methods: This cross-sectional study included 610 adults aged 19-64 years. Data were collected through face-to-face interviews using a questionnaire consisting of five sections, including sociodemographic characteristics, digital nutrition information practices, AI use in nutrition and dietetics, the e-Healthy Diet Literacy Questionnaire (e-HDLQ), and the General Attitudes toward Artificial Intelligence Scale (GAAIS). Descriptive statistics, validity and reliability analyses, correlation analyses, and Partial Least Squares Structural Equation Modeling (PLS-SEM) were performed. Statistical significance was accepted at p &amp;lt; 0.05. Results: The mean age of the participants was 33.07 &#177; 11.36 years, and 50.8% were female. The measurement model demonstrated acceptable reliability and convergent validity. Structural model analysis showed that positive attitudes toward AI were positively associated with e-HDL (β = 0.243, p &amp;lt; 0.001), whereas negative attitudes toward AI were negatively associated with e-HDL (β = -0.232, p &amp;lt; 0.001). Among the e-HDLQ dimensions, the strongest loading was observed for finding e-healthy diet information (β = 0.844), followed by applying e-healthy diet information (β = 0.641), digital healthy eating literacy (β = 0.636), judging e-healthy diet information (β = 0.308), and understanding e-healthy diet information (β = 0.277). Together, positive and negative attitudes toward AI explained 12.2% of the variance in e-HDL (R&lt;superscript&gt;2&lt;/superscript&gt; = 0.122), indicating a modest explanatory contribution. Conclusions: Positive and negative attitudes toward AI were independently associated with e-HDL among adults. Although the explained variance was modest, AI attitudes may represent one of several factors associated with digital nutrition literacy, warranting further investigation in future studies.
– Name: Ref
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        Text: English
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      – SubjectFull: Humans
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      – SubjectFull: Adult
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      – SubjectFull: Reproducibility of Results
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      – SubjectFull: Diet, Healthy psychology
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      – SubjectFull: Artificial Intelligence
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      – SubjectFull: Health Literacy
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      – SubjectFull: Health Knowledge, Attitudes, Practice
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      – TitleFull: Positive and Negative Attitudes Toward Artificial Intelligence and E-Healthy Diet Literacy Among Adults: A Partial Least Squares Structural Equation Modeling Study.
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            NameFull: Özenir Ç
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            NameFull: Altınsoy C
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            – D: 07
              M: 09
              Text: 2026 Sep 07
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 2072-6643
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            – TitleFull: Nutrients
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