National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka Shinmachi, Settsu-shi, Osaka 566-0002, Japan.
Tokyo NODAI Research Institute, Tokyo University of Agriculture, 1-1-1 Sakuragaoka, Setagaya-ku, Tokyo 156-8502, Japan.
Nutrients. 2024 Sep 7;16(17):3026. doi: 10.3390/nu16173026.
Numerous nutrient profiling models (NPMs) exist worldwide, but Japan lacks an official NPM. Using the Australian and New Zealand Health Star Rating (HSR) as a reference, "Processed Foods in Japan version 1.0" (NPM-PFJ (1.0)) was developed to fit Japanese food culture and policies. In total, 668 processed foods from the Standard Tables of Food Composition in Japan were analyzed, excluding seasonings/spices, fats/oils, alcoholic beverages, and infant food. The NPM-PFJ (1.0) scoring algorithm was adapted from HSR, with revised reference values for energy, saturated fat, total sugars, sodium, protein, and dietary fiber in alignment with Japanese standards. Reference values for fruits, vegetables, nuts, and legumes (fvnl) remained unchanged. Median scores were 4.5 for HSR and 5.0 for NPM-PFJ (1.0), showing high correlation (r = 0.939, < 0.01). Thereafter, food categories familiar and meaningful in Japan were defined based on a hierarchical cluster analysis of scoring patterns, creating six categories with distinct characteristics. Finally, the rating algorithm for NPM-PFJ (1.0) was created using each group's score distribution (10th percentile). The NPM-PFJ (1.0) was developed through a fully transparent and evidence-based process and is expected to facilitate the reformulation of food products by food industries and help consumers easily access healthier processed foods. This model marks a significant step forward in developing an NPM tailored to Japanese food culture and health policies, with the potential to enhance public health.
世界上存在许多营养成分评分模型(NPM),但日本缺乏官方的 NPM。本研究以澳大利亚和新西兰的健康星级评分(HSR)为参考,开发了适合日本饮食文化和政策的“日本加工食品版 1.0(NPM-PFJ (1.0))”。共分析了日本标准食品成分表中的 668 种加工食品,不包括调味料/香料、脂肪/油、酒精饮料和婴儿食品。NPM-PFJ (1.0) 的评分算法改编自 HSR,能量、饱和脂肪、总糖、钠、蛋白质和膳食纤维的参考值与日本标准一致进行了修订。水果、蔬菜、坚果和豆类(fvnl)的参考值保持不变。HSR 的中位数评分为 4.5,NPM-PFJ (1.0) 的中位数评分为 5.0,两者相关性较高(r = 0.939,<0.01)。在此基础上,根据评分模式的层次聚类分析,定义了日本常见且有意义的食品类别,创建了具有鲜明特征的六个类别。最后,根据每个组的评分分布(第 10 个百分位),创建了 NPM-PFJ (1.0) 的评分算法。NPM-PFJ (1.0) 的开发过程完全透明且基于证据,有望促进食品行业对食品进行重新配方,帮助消费者轻松获得更健康的加工食品。该模型是朝着开发适合日本饮食文化和健康政策的 NPM 迈出的重要一步,有可能提高公众健康水平。