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Development of a Nutrient Profile Model for Dishes in Japan Version 1.0: A New Step Towards Addressing Public Health Nutrition Challenges

Overview
Journal Nutrients
Date 2024 Sep 14
PMID 39275327
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Abstract

To address the rising incidence of non-communicable diseases (NCDs) and promote healthier eating habits, Japan requires a culturally tailored Nutrient Profile Model. This study aimed to develop a Nutrient Profile Model for Dishes in Japan version 1.0 (NPM-DJ (1.0)) that corresponds to the nutritional issues and food culture in Japan. The aim of the NPM-DJ (1.0) was to promote the health of the general population, and to prevent the increase in NCDs in Japan. The NPM-DJ (1.0) categorizes dishes into staples, sides, mains, mixed dishes, and mixed dishes with staples. The model evaluates dishes based on energy, saturated fats, sugars, and sodium as restricted nutrients, while considering protein, dietary fiber, and the weight of certain food groups as recommended nutrients. The distribution of the overall score for each dish category was analyzed and a rating algorithm was created. The baseline, modification points, and final scores were significantly lower for side dishes than for staple dishes. In contrast, the baseline points and final scores were significantly higher for mixed dishes with staple. The model effectively differentiated nutritional profiles across five dishes categories, which may promote healthier dish reformulation by food businesses operators and encourage consumers to select healthier dishes.

References
1.
Takimoto H, Okada E, Takebayashi J, Tada Y, Yoshizaki T, Yokoyama Y . Nutrient Profiles of Dishes Consumed by the Adequate and High-Salt Groups in the 2014-2018 National Health and Nutrition Survey, Japan. Nutrients. 2021; 13(8). PMC: 8398318. DOI: 10.3390/nu13082591. View

2.
Vlassopoulos A, Masset G, Charles V, Hoover C, Chesneau-Guillemont C, Leroy F . A nutrient profiling system for the (re)formulation of a global food and beverage portfolio. Eur J Nutr. 2016; 56(3):1105-1122. PMC: 5346408. DOI: 10.1007/s00394-016-1161-9. View

3.
Trichterborn J, Drossard C, Kersting M, Harzer G, Kunz C . The potential impact of nutrient profiles on dairy-related energy and nutrient intake in German children and adolescents. Eur J Clin Nutr. 2011; 66(4):466-73. DOI: 10.1038/ejcn.2011.180. View

4.
Davies A, Santos J, Rosewarne E, Rangan A, Webster J . Australian Ready Meals: Does a Higher Health Star Rating Mean Lower Sodium Content?. Nutrients. 2022; 14(6). PMC: 8949801. DOI: 10.3390/nu14061269. View

5.
Murakami K, Livingstone M, Sasaki S . Establishment of a Meal Coding System for the Characterization of Meal-Based Dietary Patterns in Japan. J Nutr. 2017; 147(11):2093-2101. DOI: 10.3945/jn.117.254896. View