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Updated: Jun 24, 2025

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开发美国营养流行病学研究的饮食葡萄糖指数和负载的国家数据库

Karen A Della Corte¹, Dennis Della Corte², Sean Titensor³

¹Department of Nutrition, Dietetics, and Food Science, Brigham Young University, Provo, UT, United States.

The American journal of clinical nutrition

|June 9, 2024

概括

这项研究创建了1999-2018年饮食葡萄糖指数 (GI) 和葡萄糖负荷 (GL) 的国家数据库. 结果显示,随着时间的推移,GI和GL的含量下降,人口统计数据有所不同.

科学领域:

营养科学营养科学
公共卫生公共卫生
饮食评估饮食评估

背景情况:

美国二十年来一直缺乏通过血糖指数 (GI) 衡量碳水化合物质量的全国评估.
了解饮食GI和血糖负荷 (GL) 对于评估碳水化合物摄入质量至关重要.

研究的目的:

开发一个全面的,全国代表的饮食GI和GL的数据库,从1999-2018年NHANES数据.
分析随着时间的推移饮食GI和GL的趋势,并确定美国亚种群之间的差异.

主要方法:

利用人工智能支持的模型从现有数据库中将GI值分配到USDA食品代码中,然后进行手动验证.
雇佣了NHANES的多阶段,集群抽样设计,以检查1999-2018年饮食GI和GL的全国分布.

主要成果:

人工智能模型实现了75.0%的初始准确性,经过专家手工处理后改进到31.3%,覆盖了99.9%的碳水化合物摄入量.
软饮料和白面包被确定为饮食GI和GL的主要贡献者.
平均饮食GI为55.7,能量调整后GL为133.0.0. 从1999年至2018年,两者均下降了4.6% (GI) 和13.8% (GL).
饮食GL在女性,受教育程度较低的个人和贫困线以下的人群中较高. 还观察到显著的种族差异.

结论:

开发的国家GI和GL数据库为美国的大规模饮食和健康结果研究提供了宝贵的资源.
该数据库支持高质量的监测和对碳水化合物质量对健康影响的队列研究.

关键词:

国家健康和营养检查调查调查人工智能的人工智能是人工智能.碳水化合物质量的质量葡萄糖指数的分配血糖负荷是什么血糖负荷国家趋势.

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