University of Nebraska at Omaha, Omaha, NE, USA.
Nebraska Medicine, Omaha, NE, USA.
AMIA Jt Summits Transl Sci Proc. 2022 May 23;2022:159-167. eCollection 2022.
Healthy diet and dietary behaviors are key components in prevention of chronic disease and management of chronic illness. Nutritional literacy has been associated with dietary behaviors and consumer choice of healthy foods. Nutritional literacy can be measured, for example, by examining consumer food label use, but current research focuses largely on the Nutrition Facts panel of a food product. Ingredients lists are critical for communicating food composition but are relatively unstudied in existing literature. The goal of this work is to measure the readability of ingredients lists on branded food products in the United States using existing metrics. We examined ingredients lists for all 495,646 products listed in the USDA Food Data Central database using four existing readability measures for text written in natural language. Each of these indices approximates the grade level that would be expected to comprehend a text; comparatively, patient consent forms are considered acceptable at an 8 grade reading level or lower. We report a broad variability for in readability using different metrics: ingredients lists recorded at a 9 grade reading level or higher to comprehend are found at rates of 16.5% (Automated Reading Index) to 74.9% (Gunning-Fog Index). Ingredients lists recorded at a 10 grade reading level or higher to comprehend are found at rates of 84.2% (using FRE Index). These results demonstrate the need to further explore how ingredients lists can be measured for readability, both for the purposes of consumer understanding as well as for supporting future nutrition research involving text mining.
健康饮食和饮食行为是预防慢性病和慢性病管理的关键组成部分。营养素养与饮食行为和消费者选择健康食品有关。营养素养可以通过检查消费者对食品标签的使用来衡量,但目前的研究主要集中在食品产品的营养成分表上。成分表对于传达食品成分至关重要,但在现有文献中相对研究较少。这项工作的目标是使用现有指标衡量美国品牌食品产品成分表的可读性。我们使用自然语言书写的四种现有可读性度量标准,检查了 USDA 食品数据中心数据库中列出的所有 495646 种产品的成分表。这些指数都近似于理解文本所需的年级水平;相比之下,患者同意书被认为可接受的阅读水平在 8 级或更低。我们报告了不同指标下的广泛的可读性差异:理解成分表所需的阅读水平为 9 级或更高的,其比率为 16.5%(自动阅读指数)至 74.9%(Gunning-Fog 指数)。理解成分表所需的阅读水平为 10 级或更高的,其比率为 84.2%(使用 FRE 指数)。这些结果表明,需要进一步探讨如何衡量成分表的可读性,不仅是为了消费者的理解,也是为了支持未来涉及文本挖掘的营养研究。