The present study explored associations between the five personality traits (Extraversion, Agreeableness, Conscientiousness, Neuroticism, and Openness) and dietary patterns of apparently healthy individuals. Demographic, anthropometric, dietary, and personality data were obtained from 480 adults, up to 45 years of age, through self-completed questionnaires. Dietary habits were assessed via a validated for the population Food Frequency Questionnaire (FFQ), whereas personality was evaluated with the validated Greek version of the 50-item International Personality Item Pool (IPIP). Five dietary patterns were derived from the principal component analysis: the processed foods, the plant-based, the Western-type, the healthy, and the alcohol-coffee pattern. Regression analysis revealed significant findings for various dietary patterns. For the alcohol-coffee pattern, neuroticism showed a positive correlation in the 18-24 age group. In the healthy dietary pattern, BMI and openness were positive predictors, with age predicting healthy eating in participants with under- and normal weight. For the plant-based pattern, male gender was a negative predictor, while openness was positive. For the western-type pattern, male gender was a positive predictor, whereas age and neuroticism negatively predicted adherence in females. Age and conscientiousness negatively predicted the processed foods dietary pattern. More research is needed in this field.

Information availability through the web has been both a challenge and an asset for healthcare support, as evidence-based information coexists with unsupported claims. With the emergence of artificial intelligence (AI), this situation may be enhanced or improved. The aim of the present study was to compare the quality assessment of online dietary weight loss information conducted by an AI assistant (ChatGPT 4.5) to that of health professionals. Thus, 177 webpages publishing dietary advice on weight loss were retrieved from the web and assessed by ChatGPT-4.5 and by dietitians through (1) a validated instrument (DISCERN) and (2) a self-made scale based on official guidelines for weight management. Also, webpages were assessed by a ChatGPT custom scoring system. Analysis revealed no significant differences in quantitative quality scores between human raters, ChatGPT-4.5, and the AI-derived system (p = 0.528). On the contrary, statistically significant differences were found between the three content accuracy scores (p < 0.001), with scores assigned by ChatGPT-4.5 being higher than those assigned by humans (all p < 0.001). Our findings suggest that ChatGPT-4.5 could complement human experts in evaluating online weight loss information, when using a validated instrument like DISCERN. However, more relevant research is needed before forming any suggestions.