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健康零食:利用营养成分分析评估美国常见零食的营养密度

Healthy Snacks: Using Nutrient Profiling to Evaluate the Nutrient-Density of Common Snacks in the United States.

作者信息

Hess Julie M, Slavin Joanne L

机构信息

Dept. of Food Science and Nutrition, Univ. of Minnesota, 1334 Eckles Avenue, St. Paul, Minn., 55108, U.S.A.

出版信息

J Food Sci. 2017 Sep;82(9):2213-2220. doi: 10.1111/1750-3841.13819. Epub 2017 Aug 10.

DOI:10.1111/1750-3841.13819
PMID:28796304
Abstract

OBJECTIVE

To quantify and compare the nutrient-density of commonly consumed snacks using two nutrient-density measures, Nutrient Rich Foods Indices 9.3 (NRF 9.3) and 15.3 (NRF 15.3).

DESIGN

Identify commonly consumed categories of snacks and individual snack foods, calculate NRF 9.3 and 15.3 scores, rank snacks by category and by individual food based on nutrient density, compare and contrast scores generated by the two NRF Indices.

MAIN OUTCOME MEASURES

NRF 9.3 and 15.3 scores.

ANALYSIS

Averages and standard deviations of nutrient-density scores for each snack category.

RESULTS

Vegetables and coffee/tea received the highest category scores on both indices. Cakes/cookies/pastries and sweets had the lowest category scores. NRF 9.3 scores for individual snacks ranged from -46 (soda) to 524 (coffee). NRF 15.3 scores ranged from -45 (soda) to 736 (coffee).

CONCLUSIONS AND IMPLICATIONS

If added to food labels, NRF scores could help consumers identify more nutritious choices. The differences between NRF 9.3 and 15.3 scores generated for the same foods and the limitations of these indices highlight the need for careful consideration of which nutrient-density measure to include on food labels as well as consumer education.

摘要

目的

使用两种营养密度衡量标准,即营养丰富食物指数9.3(NRF 9.3)和15.3(NRF 15.3),对常见休闲食品的营养密度进行量化和比较。

设计

确定常见的休闲食品类别和单个休闲食品,计算NRF 9.3和15.3得分,根据营养密度按类别和单个食品对休闲食品进行排名,比较和对比两个NRF指数得出的得分。

主要观察指标

NRF 9.3和15.3得分。

分析

每个休闲食品类别的营养密度得分的平均值和标准差。

结果

蔬菜以及咖啡/茶在两个指数上的类别得分最高。蛋糕/饼干/糕点和糖果的类别得分最低。单个休闲食品的NRF 9.3得分范围为-46(苏打水)至524(咖啡)。NRF 15.3得分范围为-45(苏打水)至736(咖啡)。

结论与启示

如果添加到食品标签上,NRF得分可以帮助消费者识别更具营养的选择。同一食品的NRF 9.3和15.3得分之间的差异以及这些指数的局限性凸显了在食品标签上纳入哪种营养密度衡量标准以及对消费者进行教育都需要仔细考虑。

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