Positive and Negative Attitudes Toward Artificial Intelligence and E-Healthy Diet Literacy Among Adults: A Partial Least Squares Structural Equation Modeling Study
NUTRIENTS, cilt.18, sa.17, 2026 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 18 Sayı: 17
- Basım Tarihi: 2026
- Doi Numarası: 10.3390/nu18172931
- Dergi Adı: NUTRIENTS
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, BIOSIS, CAB Abstracts, CINAHL, EMBASE, Food Science & Technology Abstracts, MEDLINE, Biomedical Reference Collection: Corporate Edition (EBSCO), Health Research Premium Collection (ProQuest)
- Recep Tayyip Erdoğan Üniversitesi Adresli: Evet
Özet
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 (beta = 0.243, p < 0.001), whereas negative attitudes toward AI were negatively associated with e-HDL (beta = -0.232, p < 0.001). Among the e-HDLQ dimensions, the strongest loading was observed for finding e-healthy diet information (beta = 0.844), followed by applying e-healthy diet information (beta = 0.641), digital healthy eating literacy (beta = 0.636), judging e-healthy diet information (beta = 0.308), and understanding e-healthy diet information (beta = 0.277). Together, positive and negative attitudes toward AI explained 12.2% of the variance in e-HDL (R-2 = 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.