Artificial Intelligence-Generated Diet Plans for Hypertension and Dyslipidemia: Adherence and Nutritional Insights.

IF 1.6 4区 医学 Q4 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Emre Batuhan Kenger, Tuğçe Özlü Karahan
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引用次数: 0

Abstract

Background: We evaluated diet plans generated by ChatGPT for hypertension and dyslipidaemia.

Methods: In October 2024, ChatGPT was used to generate meal plans for 24 simulated patients with different cardiovascular health problems. Data were used from men (n=12) and women (n=12), aged 56 yr, with mean heights of 176 cm and 161 cm respectively. Weight categories were based on BMI: normal, overweight, and obese, using weights of 56, 71, and 84 kg for women and 67, 85, and 101 kg for men. Four health conditions were assessed: hypertension stages 1 and 2 (systolic BP 130-139 mm Hg and ≥140 mm Hg; diastolic BP 80-89 mm Hg and ≥90 mm Hg), and elevated LDL levels (≥130 mg/dL and ≥160 mg/dL). Menus were evaluated for adherence to Mediterranean and DASH diets, including recommendations.

Results: Adherence to the Mediterranean and DASH diets was low across all groups, with median scores below 9 and 4.5, respectively. Common recommendations included weight loss, physical activity, reduced salt intake, stress management, and omega-3s for both hypertension and LDL reduction. Plant sterols/stanols were suggested only for LDL. No advice was given on smoking or alcohol use. Nutrient content did not differ significantly between hypertension and LDL menus (P>0.05).

Conclusion: This pioneering study found that AI-generated dietary models had low adherence to DASH and Mediterranean diets, though most recommendations were generally appropriate. Since the prompts only requested basic nutrition plans, future research should use more specific, personalized prompts to better assess AI's role in managing chronic diseases.

人工智能生成的高血压和血脂异常饮食计划:坚持和营养见解。
背景:我们评估了ChatGPT生成的高血压和血脂异常的饮食计划。方法:于2024年10月,使用ChatGPT对24例不同心血管健康问题的模拟患者生成膳食计划。数据来自男性(n=12)和女性(n=12),年龄56岁,平均身高分别为176厘米和161厘米。体重分类基于身体质量指数:正常、超重和肥胖,女性的体重分别为56、71和84公斤,男性为67、85和101公斤。评估了四种健康状况:高血压1期和2期(收缩压130-139 mm Hg和≥140 mm Hg;舒张压80 ~ 89 mm Hg和≥90 mm Hg), LDL水平升高(≥130 mg/dL和≥160 mg/dL)。评估菜单对地中海和DASH饮食的依从性,包括建议。结果:地中海饮食和DASH饮食的依从性在所有组中都很低,中位数分别低于9分和4.5分。常见的建议包括减肥、体育活动、减少盐摄入量、压力管理、以及用于高血压和降低低密度脂蛋白的ω -3脂肪酸。植物甾醇/甾醇仅适用于LDL。没有对吸烟或饮酒提出建议。低密度脂蛋白和高血压菜单的营养成分含量差异无统计学意义(P < 0.05)。结论:这项开创性的研究发现,人工智能生成的饮食模型对DASH和地中海饮食的依从性较低,尽管大多数建议通常是合适的。由于提示只要求基本的营养计划,未来的研究应该使用更具体、个性化的提示来更好地评估人工智能在管理慢性病方面的作用。
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来源期刊
Iranian Journal of Public Health
Iranian Journal of Public Health PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
2.20
自引率
7.10%
发文量
300
审稿时长
3-8 weeks
期刊介绍: Iranian Journal of Public Health has been continuously published since 1971, as the only Journal in all health domains, with wide distribution (including WHO in Geneva and Cairo) in two languages (English and Persian). From 2001 issue, the Journal is published only in English language. During the last 41 years more than 2000 scientific research papers, results of health activities, surveys and services, have been published in this Journal. To meet the increasing demand of respected researchers, as of January 2012, the Journal is published monthly. I wish this will assist to promote the level of global knowledge. The main topics that the Journal would welcome are: Bioethics, Disaster and Health, Entomology, Epidemiology, Health and Environment, Health Economics, Health Services, Immunology, Medical Genetics, Mental Health, Microbiology, Nutrition and Food Safety, Occupational Health, Oral Health. We would be very delighted to receive your Original papers, Review Articles, Short communications, Case reports and Scientific Letters to the Editor on the above men­tioned research areas.
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