ChatGPT-4o for weight management: Comparison of different diet models

Basit Öğe Kaydı
dc.authorid0000-0002-0139-676X
dc.authorid0000-0002-4761-6836
dc.contributor.authorÖzlü Karahan, Tuğçe
dc.contributor.authorKenger, Emre Batuhan
dc.date.accessioned2025-10-14T06:50:22Z
dc.date.available2025-10-14T06:50:22Z
dc.date.issued16/07/2025
dc.departmentFakülteler, Sağlık Bilimleri Fakültesi, Beslenme ve Diyetetik Bölümü
dc.description.abstractIn recent years, artificial intelligence (AI) tools such as ChatGPT have emerged as accessible and scalable platforms for generating dietary advice. While ChatGPT has demonstrated potential in providing general nutritional guidance, its capacity to create diet plans tailored to different weight categories and physical activity levels remains underexplored, particularly in comparison across popular dietary (ketogenic and intermittent fasting) models. This study aimed to evaluate the nutritional adequacy and variability of diet plans generated by ChatGPT-4o for weight management. ChatGPT-4o generated diet plans for 18 individuals (9 males, 9 females) representing overweight, class I, and class II obesity at varying physical activity levels. Fifty-four menus were created across three dietary models and analyzed for energy, macro-, and micronutrient content using the BeBiS nutritional analysis software. Diet variability was also assessed through repeated prompts over three different periods. The ketogenic diets produced by AI had significantly higher energy and saturated fat contents than other models (p < 0.05). Regardless of prompt, AI often produced low-carbohydrate, high-fat diets. The menus created by ChatGPT had significantly higher fat, saturated fat, and protein content but lower carbohydrate content compared to the dietitian menus (p < 0.05). Micronutrient analysis showed frequent inadequacy in calcium, potassium, and vitamin B1. Notably, menu content showed temporal inconsistencies, particularly in intermittent fasting and ketogenic diets. While ChatGPT-4o shows promise in generating basic dietary models, concerns remain about its nutritional precision, consistency, and safety. The results revealed the necessity of professional supervision in AI-assisted nutrition planning.
dc.identifier.citationOzlu Karahan, T., & Kenger, E. B. (2025). ChatGPT-4o for Weight Management: Comparison of Different Diet Models. Food science & nutrition, 13(7), e70639. https://doi.org/10.1002/fsn3.70639
dc.identifier.doi10.1002/fsn3.70639
dc.identifier.endpage14
dc.identifier.issue7
dc.identifier.pmid40678335
dc.identifier.startpage1
dc.identifier.urihttps://hdl.handle.net/11411/9748
dc.identifier.volume13
dc.identifier.wosqualityQ2
dc.indekslendigikaynakPubMed
dc.indekslendigikaynakWeb of Science
dc.institutionauthorÖzlü Karahan, Tuğçe
dc.institutionauthorKenger, Emre Batuhan
dc.institutionauthorid0000-0002-0139-676X
dc.institutionauthorid0000-0002-4761-6836
dc.language.isoen
dc.relation.ispartofFood Science & Nutrition
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleChatGPT-4o for weight management: Comparison of different diet models
dc.typeArticle

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim
İsim:
ChatGPT-4o for Weight Management Comparison of Different Diet Models.pdf
Boyut:
558.34 KB
Biçim:
Adobe Portable Document Format
İndir
Lisans paketi
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
license.txt
Boyut:
1.17 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
İndir

Koleksiyon

PubMed Indexed Publications