针对肥胖者的个性化饮食建议--ChatGPT 与 Food4Me 算法的比较

Q3 Nursing
Isabell Agne, Kurt Gedrich
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引用次数: 0

摘要

背景全球肥胖症发病率不断上升,凸显了实施有效预防和治疗方法的重要性。在这种情况下,个性化营养(PN)作为一种有前途的方法正在被讨论。Food4Me 研究是一项调查个性化营养干预有效性的临床试验,该研究表明,与标准膳食指南相比,根据个人需求定制膳食建议更有可能引发行为改变。然而,由于经济和结构上的障碍,PN 的可及性仍然是一个挑战。为了研究 ChatGPT 提供准确可靠的个性化膳食建议的潜力,我们进行了对比分析,将其建议与 Food4Me 算法的建议进行了比较。我们从德国 Food4Me 子队列中挑选了 20 名肥胖受试者,并将他们的基线数据输入 ChatGPT(3.5 版)。我们为每个受试者设置了一个单独的聊天空间,在所有聊天中保持一致的措辞和提示顺序,以确保可比性。提示语以第一人称视角编写,模拟普通用户询问饮食建议的真实场景。结果ChatGPT可以提供合适的个性化膳食建议,与Food4Me算法相比具有一些值得注意的优势,但仍然倾向于产生误差不一致和不可预测的建议,例如关于宏量或微量营养素摄入量的建议。尽管如此,ChatGPT 仍然是一种很有前途的方法,未来经过进一步的更新和微调,可能会发展成为一种可靠的膳食营养建议工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Personalized dietary recommendations for obese individuals – A comparison of ChatGPT and the Food4Me algorithm

Background

The globally rising prevalence of obesity highlights the importance of implementing effective methods for prevention and treatment. In this context, personalized nutrition (PN) is being discussed as a promising approach. The Food4Me study, a clinical trial investigating the effectiveness of PN interventions, demonstrated that tailoring dietary advice to individual needs is more likely to initiate behavior changes than standard dietary guidelines. However, the accessibility of PN remains a challenge due to financial and structural barriers. ChatGPT, a freely available, natural language processing model published in 2022, might provide a solution to increase the availability of personalized nutrition to a broader population.

Methods

To investigate ChatGPT's potential to provide accurate and reliable personalized dietary recommendations, we conducted a comparative analysis, comparing its recommendations with those of the Food4Me algorithm. We selected 20 obese subjects of the German Food4Me sub-cohort and entered their baseline data into ChatGPT (version 3.5). For each subject, a separate chat space was set up, maintaining consistent wording and prompt order throughout all chats to ensure comparability. The prompts were written from a first-person perspective, simulating an authentic scenario of average users asking for dietary recommendations. ChatGPT's responses were compared to the Food4Me feedback reports that had been provided to the selected subjects within the study.

Results

ChatGPT may provide suitable personalized dietary advice and holds some noteworthy advantages over the Food4Me algorithm, but still tends to produce recommendations with inconsistent and unpredictable errors, for example, regarding intakes of macro- or micronutrients.

Conclusion

Currently, it is not advisable for individuals without nutritional expertise to rely on ChatGPT for personalized dietary recommendations. Nevertheless, ChatGPT remains a promising approach and may develop into a reliable tool for PN with further updates and fine-tuning in the future.

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来源期刊
Clinical Nutrition Open Science
Clinical Nutrition Open Science Nursing-Nutrition and Dietetics
CiteScore
2.20
自引率
0.00%
发文量
55
审稿时长
18 weeks
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