ABSTRACT
BACKGROUND: Recently, there has been a growing interest in exploring AI-driven chatbots, such as ChatGPT, as a resource for disease management and education. OBJECTIVE: The study aims to evaluate ChatGPT's accuracy and quality/clarity in providing nutritional management for Type 2 Diabetes (T2DM), the Metabolic syndrome (MetS) and its components, in accordance with the Academy of Nutrition and Dietetics' guidelines. METHODS: Three nutrition management-related domains were considered: (1) Dietary management, (2) Nutrition care process (NCP) and (3) Menu planning (1500 kcal). A total of 63 prompts were used. Two experienced dietitians evaluated the chatbot output's concordance with the guidelines. RESULTS: Both dietitians provided similar assessments for most conditions examined in the study. Gaps in the ChatGPT-derived outputs were identified and included weight loss recommendations, energy deficit, anthropometric assessment, specific nutrients of concern and the adoption of specific dietary interventions. Gaps in physical activity recommendations were also observed, highlighting ChatGPT's limitations in providing holistic lifestyle interventions. Within the NCP, the generated output provided incomplete examples of diagnostic documentation statements and had significant gaps in the monitoring and evaluation step. In the 1500 kcal one-day menus, the amounts of carbohydrates, fat, vitamin D and calcium were discordant with dietary recommendations. Regarding clarity, dietitians rated the output as either good or excellent. CONCLUSION: Although ChatGPT is an increasingly available resource for practitioners, users are encouraged to consider the gaps identified in this study in the dietary management of T2DM and the MetS.
ABSTRACT
This systematic review aims at documenting government-led school nutrition programs/interventions in countries of the Eastern Mediterranean Region (EMR). A systematic review of the available literature on this topic was conducted between 25 October 2022 and 15 November 2022 using 15 electronic databases as well as grey literature. The search was limited to materials published post 2000 in English, Arabic, or French. Articles/Reports were included in the review if they provided information on school-based nutrition programs/interventions developed, adopted or implemented by a governmental entity in the EMR countries, irrespective of study design. In total, 158 documents were retained until 16 May 2023. School-based programs/interventions were categorized into 13 types. In total, 298 school-based nutrition programs/interventions were identified. The most common were school meals and school feeding programs (all EMR countries) followed by nutrition education within the curriculum (77% of countries), extracurricular nutrition education (64%), standards for school canteens or foods/beverages available in schools (64%), and training of school staff (59%). Approximately half reported the inclusion of fruit and vegetable schemes (54%) or the establishment of hygienic cooking facilities (50%), while less than half reported standards for the marketing of food/beverages (45%), bans/standards for vending machines, milk feeding schemes, or micronutrient supplementation programs (41%). The least common interventions were school gardens (32%) and take-home rations (14%). Countries with the lowest gross domestic product and lowest government effectiveness score had the lowest number of programs/interventions. Many of the programs have tackled both school-aged children as well as preschoolers. We were able to identify monitoring and process evaluation for 21 programs in 14 countries. Few programs have undergone impact assessment.
