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Shelf to Health: Does Product Innovation Change National Estimates of Dietary Impacts?
Journal of Food Science ( IF 3.9 ) Pub Date : 2018-02-07 , DOI: 10.1111/1750-3841.14065
Christopher A Taylor 1 , Rosanna P Watowicz 2 , Colleen K Spees 1 , Neal H Hooker 3
Affiliation  

This paper presents a simulation process to augment nutrition surveillance in the United States which incorporates product innovation data. Traditional point-estimates of nutritional quality in a food category are compared to those based on distributions of nutrient compositions using product-level variability seen in the market. Nationally representative consumption patterns provide dietary intakes. Cookies are used as an example food category. Nutrient composition data from Global New Product Database (GNPD) for 5259 cookies launched 2005 to 2012 were matched to dietary intakes from 2005 to 2012 National Health and Nutrition Examination Survey (NHANES) over the 2 y cycles of NHANES for 8284 cookie consumers. Average dietary intakes from traditional NHANES and GNPD-based estimations produced similar mean values for energy, carbohydrates, sugars, total fat, and protein. Saturated fat, fiber and cholesterol contributions using new product compositions were significantly higher than traditional NHANES approaches, estimates of sodium were significantly lower. These differences become pronounced when comparing adult and child consumption patterns and over time. This process also simulated trans fat consumption estimates not traditionally available within NHANES. On average cookies contributed 0.3 g/d (range 0 to 4.1 g/d). Much variability in food composition is seen in the market which is shown to influence estimates of the national diet. PRACTICAL APPLICATION Numerous factors drive changes in the food supply, including health trends, firm strategic choices, and food policy. This evolution presents a challenge for dietary assessments and nutrition monitoring. The public health impact of variability in nutritional composition, subpopulation consumption patterns and market dynamics are particularly difficult to evaluate and are shown to influence estimates of the national diet.

中文翻译:

货架到健康:产品创新会改变国家对饮食影响的估计吗?

本文介绍了一个模拟过程,以增强美国的营养监测,其中包含产品创新数据。对食品类别中营养质量的传统点估计与使用市场上看到的产品水平可变性基于营养成分分布的点进行比较。具有全国代表性的消费模式提供膳食摄入量。饼干被用作示例食品类别。来自全球新产品数据库 (GNPD) 的 2005 年至 2012 年推出的 5259 份饼干的营养成分数据与 2005 年至 2012 年国家健康和营养调查 (NHANES) 的 2 年 NHANES 周期内 8284 名饼干消费者的膳食摄入量相匹配。来自传统 NHANES 和基于 GNPD 的估计的平均膳食摄入量产生了相似的能量、碳水化合物、糖、总脂肪和蛋白质。使用新产品成分对饱和脂肪、纤维和胆固醇的贡献显着高于传统的 NHANES 方法,钠的估计值显着降低。在比较成人和儿童的消费模式以及随着时间的推移,这些差异变得很明显。这个过程还模拟了 NHANES 中传统上不可用的反式脂肪消耗估计值。饼干平均贡献 0.3 克/天(范围 0 到 4.1 克/天)。市场上的食物成分存在很大差异,这表明会影响对国民饮食的估计。实际应用 许多因素推动了食品供应的变化,包括健康趋势、坚定的战略选择和食品政策。这种演变对饮食评估和营养监测提出了挑战。
更新日期:2018-02-07
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