Rudd Center for Food Policy and Health, University of Connecticut, Hartford, CT 06103, USA.
Department of Allied Health Sciences, University of Connecticut, Storrs, CT 06269, USA.
Nutrients. 2022 Sep 21;14(19):3899. doi: 10.3390/nu14193899.
In 2020, charitable food organizations began adopting Healthy Eating Research (HER) nutrition guidelines, which rank individual foods in tiers (e.g., green, yellow, or red) based on each food's nutrient profile. This study aimed to validate this HER tier-ranked system against the Healthy Eating Index-2015 (HEI) and develop a formula to summarize the percentages of tier-ranked foods in an overall nutritional quality index that correlated with HEI. Using secondary data of foods selected by clients in 16 Minnesota food pantries ( = 503 "client carts"), we generated an HEI score and percentages of green, yellow, and red foods for each cart. As validation, we tested the association between HEI scores and the percentages of tier-ranked foods and compared the means of the tier-ranked variables using quintiles of the HEI scores. HEI scores were positively associated with percentages of green foods and negatively associated with percentages of red foods. Next, we used statistical learning to generate weights to maximize the correlation of the tier-ranked variables and the HEI scores and used these weights to create an index. The index demonstrated a moderate-to-strong correlation with HEI and can be used as a single measure to summarize the overall nutritional quality for sets of tier-ranked foods.
2020 年,慈善食品组织开始采用健康饮食研究 (HER) 的营养指南,该指南根据每种食物的营养状况,将单个食物分为不同等级(如绿色、黄色或红色)。本研究旨在针对健康饮食指数-2015 (HEI) 对这种 HER 等级划分系统进行验证,并开发一个公式,以总结在与 HEI 相关的整体营养质量指数中等级划分食物的百分比。使用在明尼苏达州 16 家食品储藏室中客户选择的食物的二级数据(= 503 个“客户推车”),我们为每个推车生成了一个 HEI 得分和绿色、黄色和红色食物的百分比。作为验证,我们测试了 HEI 得分与等级划分食物百分比之间的关联,并使用 HEI 得分的五分位数比较了等级划分变量的平均值。HEI 得分与绿色食物的百分比呈正相关,与红色食物的百分比呈负相关。接下来,我们使用统计学习来生成权重,以最大化等级划分变量与 HEI 得分的相关性,并使用这些权重创建一个指数。该指数与 HEI 具有中度至强相关性,可作为一个单一指标,用于总结一组等级划分食物的整体营养质量。