Development of a Nutrient Profile Model for Dishes in Japan Version 1.0: A New Step towards Addressing Public Health Nutrition Challenges
Abstract
:1. Introduction
2. Materials and Methods
2.1. Scope of the Nutrient Profile Model for Dishes in Japan Version 1.0 (NPM-DJ (1.0))
2.2. Deciding the Target Dishes, and Their Recipes, and Calculating Nutrient Composition
2.3. Selecting the Classification of Dishes and Their Units
2.4. Target Dishes and Their Classification
2.5. Model Selection
2.6. Model Algorithm
2.6.1. Dish Units
2.6.2. Selection of Nutrients and Food Groups
2.6.3. Baseline Points
- [Energy]
- [Saturated fatty acids]
- [Sugars]
- [Sodium]
2.6.4. Modification Points
- [Vegetable (V)]
- [Protein]
- [Dietary fiber]
2.6.5. Protein Cap Calculation Algorithm, Score Standard Value, and Score Table Setting
2.6.6. Final Score and Rating Algorithm
2.7. Statistical Analysis
3. Results
3.1. Point Distribution by Dish Category: Baseline Points
3.2. Point Distribution by Dish Category: Modification Points
3.3. Rating within the Dish Category
3.4. The Effect of Noodle Soup Consumption on Final Scores
3.5. Scores and Ratings of Dishes Listed in the Dietary Guide Consolidated List
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- World Health Organization. Invisible Numbers: The True Extent of Noncommunicable Diseases and What to Do about Them; World Health Organization: Geneva, Switzerland, 2022; Available online: https://www.who.int/publications/i/item/9789240057661 (accessed on 21 July 2024).
- Lim, S.S.; Vos, T.; Flaxman, A.D.; Danaei, G.; Shibuya, K.; Adair-Rohani, H.; Amann, M.; Anderson, H.R.; Andrews, K.G.; Aryee, M.; et al. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: A systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012, 380, 2224–2260. [Google Scholar] [CrossRef]
- Mozaffarian, D.; Fahimi, S.; Singh, G.M.; Micha, R.; Khatibzadeh, S.; Engell, R.E.; Lim, S.; Danaei, G.; Ezzati, M.; Powles, J.; et al. Global sodium consumption and death from cardiovascular causes. N. Engl. J. Med. 2014, 371, 624–634. [Google Scholar] [CrossRef] [PubMed]
- World Health Organization. Guideline: Sodium Intake for Adults and Children; World Health Organization: Geneva, Switzerland, 2018; Available online: http://www.who.int/nutrition/publications/guidelines/sodium_intake/en/ (accessed on 21 July 2024).
- World Health Organization. Global Action Plan for the Prevention and Control of Noncommunicable Diseases 2013–2020; World Health Organization: Geneva, Switzerland, 2013; Available online: https://www.who.int/publications/i/item/9789241506236 (accessed on 21 July 2024).
- Lewington, S.; Clarke, R.; Qizilbash, N.; Peto, R.; Collins, R.; Prospective Studies, C. Age-specific relevance of usual blood pressure to vascular mortality: A meta-analysis of individual data for one million adults in 61 prospective studies. Lancet 2002, 360, 1903–1913. [Google Scholar] [PubMed]
- Ministry of Health, Labour and Welfare Japan. The National Health and Nutrition Survey; Ministry of Health, Labour and Welfare Japan: Tokyo, Japan, 2019.
- Ministry of Health, Labour and Welfare. Health Japan 21 (Third Term). Available online: https://www.mhlw.go.jp/stf/seisakunitsuite/bunya/kenkou_iryou/kenkou/kenkounippon21_00006.html (accessed on 21 July 2024).
- Ministry of Health, Labour and Welfare. National Health and Nutrition Survey. Changes in Major Health Indicators over Time. Survey on Nutritional Intake Status. Available online: https://www.nibiohn.go.jp/eiken/kenkounippon21/eiyouchousa/keinen_henka_eiyou.html (accessed on 21 July 2024).
- Asakura, K.; Uechi, K.; Masayasu, S.; Sasaki, S. Sodium sources in the Japanese diet: Difference between generations and sexes. Public Health Nutr. 2016, 19, 2011–2023. [Google Scholar] [CrossRef] [PubMed]
- World Health Organization. Guiding Principles and Framework Manual for Front-of-Pack Labelling for Promoting Healthy Diet; World Health Organization: Geneva, Switzerland, 2019; Available online: https://www.who.int/publications/m/item/guidingprinciples-labelling-promoting-healthydiet (accessed on 21 July 2024).
- Julia, C.; Peneau, S.; Buscail, C.; Gonzalez, R.; Touvier, M.; Hercberg, S.; Kesse-Guyot, E. Perception of different formats of front-of-pack nutrition labels according to sociodemographic, lifestyle and dietary factors in a French population: Cross-sectional study among the NutriNet-Sante cohort participants. BMJ Open 2017, 7, e016108. [Google Scholar] [CrossRef]
- Kaur, A.; Scarborough, P.; Rayner, M. Regulating health and nutrition claims in the UK using a nutrient profile model: An explorative modelled health impact assessment. Int. J. Behav. Nutr. Phys. Act. 2019, 16, 18. [Google Scholar] [CrossRef]
- Julia, C.; Etile, F.; Hercberg, S. Front-of-pack Nutri-Score labelling in France: An evidence-based policy. Lancet Public Health 2018, 3, e164. [Google Scholar] [CrossRef]
- Andreeva, V.A.; Egnell, M.; Touvier, M.; Galan, P.; Julia, C.; Hercberg, S. International evidence for the effectiveness of the front-of-package nutrition label called Nutri-Score. Cent. Eur. J. Public Health 2021, 29, 76–79. [Google Scholar] [CrossRef]
- Deschasaux, M.; Huybrechts, I.; Julia, C.; Hercberg, S.; Egnell, M.; Srour, B.; Kesse-Guyot, E.; Latino-Martel, P.; Biessy, C.; Casagrande, C.; et al. Association between nutritional profiles of foods underlying Nutri-Score front-of-pack labels and mortality: EPIC cohort study in 10 European countries. BMJ 2020, 370, m3173. [Google Scholar] [CrossRef]
- Reyes, M.; Smith Taillie, L.; Popkin, B.; Kanter, R.; Vandevijvere, S.; Corvalan, C. Changes in the amount of nutrient of packaged foods and beverages after the initial implementation of the Chilean Law of Food Labelling and Advertising: A nonexperimental prospective study. PLoS Med. 2020, 17, e1003220. [Google Scholar] [CrossRef]
- A Singapore Government Agency, Health Promotion Board. Healthier Choice Symbol Programme. Available online: https://hpb.gov.sg/food-beverage/healthier-choice-symbol (accessed on 21 July 2024).
- Sahay, A.; Sanghvi, R.; Ghosh, R.K. Consumer Preferences for Different Nutrition Front-of-Pack Labels in India. Available online: https://www.fssai.gov.in/upload/uploadfiles/files/IIMA_FoPL_Report_22_02_2022.pdf (accessed on 21 August 2024).
- World Health Organization. Pan American Health Organization Nutrient Profile Model. Available online: https://www.who.int/publications/i/item/9789275118733 (accessed on 21 July 2024).
- Health Canada. Toward Front-of-Package Nutrition Labels for Canadians; Health Canada: Toronto, ON, Canada, 2016. Available online: https://www.canada.ca/en/health-canada/programs/front-of-package-nutrition-labelling/consultation-document.html (accessed on 21 July 2024).
- Murakami, K.; Livingstone, M.B.E.; Sasaki, S. Establishment of a Meal Coding System for the Characterization of Meal-Based Dietary Patterns in Japan. J. Nutr. 2017, 147, 2093–2101. [Google Scholar] [CrossRef]
- Shinozaki, N.; Murakami, K.; Asakura, K.; Masayasu, S.; Sasaki, S. Identification of Dish-Based Dietary Patterns for Breakfast, Lunch, and Dinner and Their Diet Quality in Japanese Adults. Nutrients 2020, 13, 67. [Google Scholar] [CrossRef]
- Fujiwara, A.; Asakura, K.; Uechi, K.; Masayasu, S.; Sasaki, S. Dietary patterns extracted from the current Japanese diet and their associations with sodium and potassium intakes estimated by repeated 24 h urine collection. Public Health Nutr. 2016, 19, 2580–2591. [Google Scholar] [CrossRef]
- Takimoto, H.; Saito, A.; Htun, N.C.; Abe, K. Food items contributing to high dietary salt intake among Japanese adults in the 2012 National Health and Nutrition Survey. Hypertens Res. 2018, 41, 209–212. [Google Scholar] [CrossRef]
- Takimoto, H.; Okada, E.; Takebayashi, J.; Tada, Y.; Yoshizaki, T.; Yokoyama, Y.; Ishimi, 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, 2591. [Google Scholar] [CrossRef]
- Ministry of Agriculture, Forestry and Fisheries. The Japanese Food Guide Spinning Top: “What” and “How much” Ingredients and Cooking Classification: SV Quick Reference Table. Available online: https://www.maff.go.jp/j/syokuiku/zissen_navi/balance/chart.html (accessed on 21 July 2024).
- Yoshiike, N.; Hayashi, F.; Takemi, Y.; Mizoguchi, K.; Seino, F. A new food guide in Japan: The Japanese food guide Spinning Top. Nutr. Rev. 2007, 65, 149–154. [Google Scholar] [CrossRef]
- Joshi Eiyo University Cooking Lab and Joshi Eiyo University Junior College Cooking Lab. Basic Data for Cooking, 6th ed.; Joshi Eiyo University Press: Tokyo, Japan, 2022. [Google Scholar]
- Joshi Eiyo University Cooking Lab and Joshi Eiyo University Junior College Cooking Lab. Encyclopedia of Food Nutrition and Calories, 3rd ed.; Joshi Eiyo University Press: Tokyo, Japan, 2022. [Google Scholar]
- Ministry of Health, Labor and Welfare. Dietary Reference Intakes for Japanese (2020 Edition). Available online: https://www.mhlw.go.jp/stf/seisakunitsuite/bunya/kenkou_iryou/kenkou/eiyou/syokuji_kijyun.html (accessed on 21 July 2024).
- Ministry of Education, Culture, Sports, Science and Technology Council for Science and Technology Resource Research Subcommittee. Standard Tables of Food Composition in Japan 2020 Edition (8th Edition). Available online: https://www.mext.go.jp/a_menu/syokuhinseibun/mext_01110.html (accessed on 21 July 2024).
- Takebayashi, J.; Takimoto, H.; Okada, C.; Tousen, Y.; Ishimi, Y. Development of a Nutrient Profiling Model for Processed Foods in Japan. Nutrients, 2024, submitted.
- Australian Government Department of Health and Aged Care. Health Star Rating System Calculator and Style Guide Version 8. Available online: http://www.healthstarrating.gov.au/internet/healthstarrating/publishing.nsf/Content/guide-for-industry (accessed on 21 July 2024).
- Commonwealth of Australia. Health Star Rating System. Available online: http://www.healthstarrating.gov.au/internet/healthstarrating/publishing.nsf/Content/Home (accessed on 21 July 2024).
- Takebayashi, J.; Suzuki, I.; Chiba, T. Consideration of Food Nutrition Labeling Based on the Standard Tables of Food Composition in Japan―2020―(Eighth Revised Edition). Jpn. Soc. Nutr. Food Sci. 2023, 76, 15–20. [Google Scholar] [CrossRef]
- Public Health England. Annex A: 2018 Review of the UK Nutrient Profiling Model; Public Health England: London, UK, 2018. Available online: https://www.gov.uk/government/consultations/consultation-on-the-uk-nutrient-profiling-model-2018-review (accessed on 21 July 2024).
- World Health Organization. Guideline: Sugars Intake for Adults and Children; World Health Organization: Geneva, Switzerland, 2015; Available online: https://www.who.int/publications/i/item/9789241549028 (accessed on 21 July 2024).
- Tsuboyama-Kasaoka, N.; Takimoto, H.; Ishimi, Y. Comparison of Nutrient Reference Values for Food Labeling in Japan with CODEX Recommendations, Based on DRIs and Nutrient Intake in Japan. J. Nutr. Sci. Vitaminol. 2019, 65, 102–105. [Google Scholar] [CrossRef]
- Murakami, K.; Shinozaki, N.; Fujiwara, A.; Yuan, X.; Hashimoto, A.; Fujihashi, H.; Wang, H.C.; Livingstone, M.B.E.; Sasaki, S. A Systematic Review of Principal Component Analysis-Derived Dietary Patterns in Japanese Adults: Are Major Dietary Patterns Reproducible Within a Country? Adv. Nutr. 2019, 10, 237–249. [Google Scholar] [CrossRef]
- Zhou, B.F.; Stamler, J.; Dennis, B.; Moag-Stahlberg, A.; Okuda, N.; Robertson, C.; Zhao, L.; Chan, Q.; Elliott, P.; Group, I.R. Nutrient intakes of middle-aged men and women in China, Japan, United Kingdom, and United States in the late 1990s: The INTERMAP study. J. Hum. Hypertens 2003, 17, 623–630. [Google Scholar] [CrossRef] [PubMed]
- Hafner, E.; Pravst, I. Comparison of Nutri-Score and Health Star Rating Nutrient Profiling Models Using Large Branded Foods Composition Database and Sales Data. Int. J. Environ. Res. Public Health 2023, 20, 3980. [Google Scholar] [CrossRef]
- Drewnowski, A.; Amanquah, D.; Gavin-Smith, B. Perspective: How to Develop Nutrient Profiling Models Intended for Global Use: A Manual. Adv. Nutr. 2021, 12, 609–620. [Google Scholar] [CrossRef]
- Furuta, C.; Jinzu, H.; Cao, L.; Drewnowski, A.; Okabe, Y. Nutrient Profiling of Japanese Dishes: The Development of a Novel Ajinomoto Group Nutrient Profiling System. Front. Nutr. 2022, 9, 912148. [Google Scholar] [CrossRef] [PubMed]
- Handbook of Cardiovascular Disease Prevention, 7th ed.; Hoken Dojinsha Co., Ltd.: Tokyo, Japan.
- Ono, H.; Salat, S. Japanese Soul Cooking: Ramen, Tonkatsu, Tempura, and More from the Streets and Kitchens of Tokyo and Beyond [A Cookbook]; Clarkson Potter/Ten Speed: California, CA, USA, 2013. [Google Scholar]
- Vlassopoulos, A.; Masset, G.; Charles, V.R.; Hoover, C.; Chesneau-Guillemont, C.; Leroy, F.; Lehmann, U.; Spieldenner, J.; Tee, E.S.; Gibney, M.; et al. A nutrient profiling system for the (re)formulation of a global food and beverage portfolio. Eur. J. Nutr. 2017, 56, 1105–1122. [Google Scholar] [CrossRef] [PubMed]
- Leroy, P.; Requillart, V.; Soler, L.G.; Enderli, G. An assessment of the potential health impacts of food reformulation. Eur. J. Clin. Nutr. 2016, 70, 694–699. [Google Scholar] [CrossRef] [PubMed]
- Wakayama, R.; Drewnowski, A.; Horimoto, T.; Saito, Y.; Yu, T.; Suzuki, T.; Takasugi, S. Development and Validation of the Meiji Nutritional Profiling System (Meiji NPS) to Address Dietary Needs of Adults and Older Adults in Japan. Nutrients 2024, 16, 936. [Google Scholar] [CrossRef]
- Barrett, E.M.; Afrin, H.; Rayner, M.; Pettigrew, S.; Gaines, A.; Maganja, D.; Jones, A.; Mozaffarian, D.; Beck, E.J.; Neal, B.; et al. Criterion validation of nutrient profiling systems: A systematic review and meta-analysis. Am. J. Clin. Nutr. 2024, 119, 145–163. [Google Scholar] [CrossRef]
- Davies, A.; Santos, J.A.; Rosewarne, E.; Rangan, A.; Webster, J. Australian Ready Meals: Does a Higher Health Star Rating Mean Lower Sodium Content? Nutrients 2022, 14, 1269. [Google Scholar] [CrossRef]
- 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. 2012, 66, 466–473. [Google Scholar] [CrossRef]
- Trieu, K.; Neal, B.; Hawkes, C.; Dunford, E.; Campbell, N.; Rodriguez-Fernandez, R.; Legetic, B.; McLaren, L.; Barberio, A.; Webster, J. Salt initiatives around the world–A systematic review of progress towards the global target. PLoS ONE 2015, 22, e0130247. [Google Scholar] [CrossRef]
- Hyseni, L.; Elliot-Green, A.; Lloyd-Williams, F.; Kypridemos, C.; O’Flaherty, M.; McGill, R.; Orton, L.; Bromley, H.; Cappuccio, F.P.; Capewell, S. Systematic review of dietary salt reduction policies: Evidence for an effectiveness hierarchy? PLoS ONE 2017, 18, e0177535. [Google Scholar] [CrossRef] [PubMed]
- McLaren, L.; Sumar, N.; Barberio, A.M.; Trieu, K.; Lorenzetti, D.L.; Tarasuk, V.; Webster, J.; Campbell, N.R. Population-level interventions in government jurisdictions for dietary sodium reduction. Cochrane Database Syst. Rev. 2016, 16, CD010166. [Google Scholar] [CrossRef] [PubMed]
- Roodenburg, A.J.; van Ballegooijen, A.J.; Dotsch-Klerk, M.; van der Voet, H.; Seidell, J.C. Modelling of usual nutrient intakes: Potential impact of the choices programme on nutrient intakes in young dutch adults. PLoS ONE 2013, 8, e72378. [Google Scholar] [CrossRef] [PubMed]
- Roodenburg, A.J.; Schlatmann, A.; Dotsch-Klerk, M.; Daamen, R.; Dong, J.; Guarro, M.; Stergiou, M.; Sayed, N.; Ronoh, E.; Jansen, L.; et al. Potential effects of nutrient profiles on nutrient intakes in the Netherlands, Greece, Spain, USA, Israel, China and South-Africa. PLoS ONE 2011, 6, e14721. [Google Scholar] [CrossRef] [PubMed]
- Ministry of Health, Labour and Welfare. Healthy and Sustainable Food Environment Strategy Initiative. Available online: https://sustainable-nutrition.mhlw.go.jp/ (accessed on 21 July 2024).
- The United States Food and Drug Administration. Draft Guidance for Industry: Voluntary Sodium Reduction Goals, 2nd ed.; The United States Food and Drug Administration: Silver Spring, MD, USA, 2024. Available online: https://www.fda.gov/regulatory-information/search-fda-guidance-documents/draft-guidance-industry-voluntary-sodium-reduction-goals-edition-2 (accessed on 23 July 2024).
Step | Dish Category | Characteristics of the Category | Example Dishes |
---|---|---|---|
1 | Staple dish |
| Rice, bread, udon noodles, zaru soba noodles, ramen. |
Side dish |
| Chilled tomatoes, boiled spinach with soy sauce, vegetable soup, potato salad, simmered hijiki seaweed. | |
Main dish |
| Yakitori chicken thigh skewer with tare sauce, sashimi, fried cod, chilled tofu, tamagoyaki (Japanese-style thick omelet). | |
2 | Mixed dish |
| Nikujyaga (Japanese-style meat and potato stew), sukiyaki, oden, cabbage rolls, sweet and sour pork. |
Mixed dish with staple |
| Fried pork cutlet bowl with egg, Japanese-style curry and rice, hamburger, yakisoba (fried noodles), takoyaki (octopus balls). |
Dish Category | |||||
---|---|---|---|---|---|
Rating * | Staple Dish | Side Dish | Main Dish | Mixed Dish | Mixed Dish with Staple |
★★★★★ | −2 | −7 | −4 | 8 | 13 |
★★★★☆ | 0 | −6 | −1 | 13 | 16 |
★★★★ | 1 | −5 | 0 | 13 | 17 |
★★★☆ | 3 | −4 | 1 | 14 | 17 |
★★★ | 6 | −3 | 2 | 16 | 19 |
★★☆ | 9 | −1 | 3 | 18 | 19 |
★★ | 15 | 1 | 6 | 19 | 21 |
★☆ | 18 | 2 | 11 | 22 | 26 |
★ | 20 | 4 | 19 | 25 | 29 |
☆ | - | - | - | - | - |
n | 20 | 34 | 21 | 12 | 18 |
Dish Name | The Amount of Soup Consumed | Food Weight (Excluding Water) | Total Food Weight | Energy | Saturated Fat | Total Sugars | Sodium | Baseline Points | FVNL Points | Protein | Total Dietary Fiber | Final Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Udon (thick wheat noodles) | Left all soup | 332 | 473 | 3 | 0 | 2 | 10 | 15 | 0 | 0 | 5 | 10 |
Half soup consumed | 345 | 564 | 4 | 0 | 2 | 13 | 19 | 0 | 0 | 5 | 14 | |
All soup consumed | 358 | 658 | 4 | 0 | 3 | 17 | 24 | 0 | 0 | 5 | 19 | |
Tempura udon | Left all soup | 375 | 524 | 5 | 1 | 2 | 10 | 18 | 0 | 0 | 5 | 13 |
Half soup consumed | 388 | 615 | 5 | 1 | 2 | 14 | 22 | 0 | 0 | 5 | 17 | |
All soup consumed | 401 | 709 | 5 | 1 | 3 | 18 | 27 | 0 | 0 | 5 | 22 | |
Zaru soba (cold buckwheat noodles) | Left all soup | 317 | 362 | 4 | 0 | 1 | 6 | 11 | 0 | 6 | 6 | −1 |
Half soup consumed | 321 | 378 | 4 | 0 | 1 | 7 | 12 | 0 | 6 | 6 | 0 | |
All soup consumed | 337 | 437 | 4 | 0 | 2 | 11 | 17 | 0 | 0 | 6 | 11 | |
Ramen (soy sauce) | Left all soup | 249 | 316 | 3 | 0 | 0 | 7 | 10 | 0 | 4 | 8 | −2 |
Half soup consumed | 262 | 422 | 4 | 0 | 0 | 16 | 20 | 0 | 0 | 8 | 12 | |
All soup consumed | 275 | 525 | 4 | 0 | 0 | 24 | 28 | 0 | 0 | 8 | 20 | |
Roasted pork ramen | Left all soup | 310 | 377 | 4 | 1 | 0 | 11 | 16 | 0 | 0 | 8 | 8 |
Half soup consumed | 323 | 483 | 4 | 1 | 0 | 19 | 24 | 0 | 0 | 8 | 16 | |
All soup consumed | 336 | 586 | 5 | 1 | 0 | 27 | 33 | 0 | 0 | 8 | 25 | |
Tenshin noodles (crab omelet on ramen) | Left all soup | 451 | 518 | 6 | 7 | 1 | 19 | 33 | 0 | 0 | 8 | 25 |
Half soup consumed | 464 | 624 | 7 | 7 | 1 | 28 | 43 | 0 | 0 | 8 | 35 | |
All soup consumed | 477 | 727 | 7 | 7 | 1 | 30 | 45 | 0 | 0 | 8 | 37 |
Score | Rating * | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
No. | Dish Category | Dish Name | Food Weight (Excluding Water) (g) | Total Food Weight (g) | Energy | Saturated Fat | Total Sugars | Sodium | Baseline Points | V Points | Protein | Total Dietary Fiber | Final Score | By Dish Category |
1 | Staple dish | Zengayu (gruel) | 200 | 200 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | ★★★★ |
2 | White rice (small, 100 g) | 100 | 100 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | −1 | ★★★★☆ | |
3 | White rice (middle, 150 g) | 100 | 100 | 2 | 0 | 0 | 0 | 2 | 0 | 1 | 3 | −2 | ★★★★★ | |
4 | White rice (large, 200 g) | 200 | 200 | 3 | 0 | 0 | 0 | 3 | 0 | 1 | 4 | −2 | ★★★★★ | |
5 | Shiomusubi (salted onigiri rice ball) | 100 | 100 | 1 | 0 | 0 | 1 | 2 | 0 | 0 | 2 | 0 | ★★★★ | |
6 | Nigiri sushi (eight pieces of nigiri sushi) with soy sauce for dipping | 364 | 364 | 6 | 3 | 1 | 9 | 19 | 0 | 0 | 5 | 14 | ★★ | |
7 | Tendon (tempura on rice with sauce) | 244 | 256 | 4 | 1 | 0 | 1 | 6 | 0 | 4 | 4 | −2 | ★★★★★ | |
8 | Chicken rice | 297 | 297 | 6 | 8 | 2 | 7 | 23 | 0 | 0 | 6 | 17 | ★☆ | |
9 | A slice of white bread (six slices in a pack) | 60 | 60 | 1 | 1 | 1 | 2 | 5 | 0 | 1 | 3 | 1 | ★★★★ | |
10 | A slice of toasted white bread (six slices in a pack) with margarine | 60 | 60 | 2 | 3 | 1 | 3 | 9 | 0 | 1 | 3 | 5 | ★★★ | |
11 | A slice of white bread (four slices in a pack) | 90 | 90 | 2 | 2 | 2 | 4 | 10 | 0 | 2 | 5 | 3 | ★★★☆ | |
12 | A slice of toasted white bread (four slices in a pack) with margarine | 88 | 88 | 3 | 4 | 2 | 4 | 13 | 0 | 0 | 5 | 8 | ★★☆ | |
13 | Roll of bread (two pieces) | 60 | 60 | 2 | 4 | 1 | 2 | 9 | 0 | 2 | 1 | 6 | ★★☆ | |
14 | Croissant (two pieces) | 80 | 80 | 4 | 13 | 0 | 3 | 20 | 0 | 0 | 2 | 18 | ★☆ | |
15 | Raisin bread | 80 | 80 | 2 | 2 | 0 | 3 | 7 | 0 | 2 | 2 | 3 | ★★★☆ | |
16 | Udon (thick wheat noodles, all soup consumed) | 358 | 658 | 4 | 0 | 3 | 17 | 24 | 0 | 0 | 5 | 19 | ★ | |
17 | Tempura udon (all soup consumed) | 401 | 709 | 5 | 1 | 3 | 18 | 27 | 0 | 0 | 5 | 22 | ☆ | |
18 | Zaru soba (cold buckwheat noodles, all soup consumed) | 337 | 437 | 4 | 0 | 2 | 11 | 17 | 0 | 0 | 6 | 11 | ★★ | |
19 | Ramen (soy sauce, all soup consumed) | 275 | 525 | 4 | 0 | 0 | 24 | 28 | 0 | 0 | 8 | 20 | ★ | |
20 | Roasted pork ramen (all soup consumed) | 336 | 586 | 5 | 1 | 0 | 27 | 33 | 0 | 0 | 8 | 25 | ☆ | |
21 | Side dish | Chilled tomatoes | 100 | 100 | 0 | 0 | 0 | 1 | 1 | 7 | 0 | 1 | −7 | ★★★★★ |
22 | Salted boiled edamame (green soybeans) | 49 | 49 | 0 | 0 | 0 | 2 | 2 | 7 | 1 | 3 | −9 | ★★★★★ | |
23 | Coleslaw salad | 62 | 62 | 0 | 0 | 0 | 2 | 2 | 5 | 0 | 1 | −4 | ★★★☆ | |
24 | Lettuce and cucumber salad | 92 | 92 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 1 | −7 | ★★★★★ | |
25 | Boiled broccoli salad | 118 | 118 | 0 | 1 | 0 | 0 | 1 | 4 | 1 | 5 | −9 | ★★★★★ | |
26 | Cucumber with hishio-miso (fermented soybeans, barley or wheat, and vegetable with koji mold) | 86 | 86 | 0 | 0 | 0 | 1 | 1 | 6 | 0 | 1 | −6 | ★★★★☆ | |
27 | Namasu (shredded vegetables marinated in sweet vinegar) | 87 | 87 | 0 | 0 | 2 | 7 | 9 | 6 | 0 | 0 | 3 | ★ | |
28 | Vinegared dish of cucumber and wakame seaweed | 78 | 80 | 0 | 0 | 0 | 1 | 1 | 7 | 0 | 1 | −7 | ★★★★★ | |
29 | Boiled spinach with soy sauce | 60 | 69 | 0 | 0 | 0 | 2 | 2 | 6 | 0 | 2 | −6 | ★★★★☆ | |
30 | Shungiku (garland chrysanthemum) with sesame sauce | 72 | 79 | 0 | 0 | 0 | 1 | 1 | 6 | 0 | 4 | −9 | ★★★★★ | |
31 | Nasu-shigiyaki (grilled eggplant with sweet miso paste) | 153 | 168 | 1 | 1 | 3 | 4 | 9 | 5 | 0 | 4 | 0 | ★★ | |
32 | Kinpiragobou (stir-fried and braised burdock root and carrot) | 80 | 80 | 0 | 0 | 1 | 3 | 4 | 4 | 0 | 5 | −5 | ★★★★ | |
33 | Stir-fried cabbage | 169 | 169 | 1 | 1 | 1 | 4 | 7 | 6 | 0 | 5 | −4 | ★★★☆ | |
34 | Chinese-style stir-fried spinach | 121 | 121 | 0 | 1 | 0 | 5 | 6 | 5 | 1 | 3 | −3 | ★★★ | |
35 | Stir-fried bean sprouts and chives | 84 | 84 | 0 | 1 | 0 | 2 | 3 | 6 | 0 | 2 | −5 | ★★★★ | |
36 | Stir-fried and braised komatsuna (Japanese spinach mustard) | 119 | 182 | 0 | 0 | 2 | 4 | 6 | 5 | 0 | 4 | −3 | ★★★ | |
37 | Kiriboshi-daikon no nimono (simmered dried radish strips) | 147 | 210 | 1 | 1 | 2 | 4 | 8 | 4 | 1 | 6 | −3 | ★★★ | |
38 | Glazed carrot | 66 | 132 | 0 | 1 | 2 | 1 | 4 | 6 | 0 | 2 | −4 | ★★★☆ | |
39 | Kabocha no nimono (simmered sweet pumpkin) | 111 | 166 | 1 | 0 | 5 | 2 | 8 | 5 | 0 | 5 | −2 | ★★☆ | |
40 | Nishime (simmered root vegetables and konjac) | 143 | 220 | 0 | 0 | 1 | 3 | 4 | 1 | 0 | 6 | −3 | ★★★ | |
41 | Assorted vegetable tempura (with tempura sauce) | 140 | 178 | 2 | 2 | 2 | 7 | 13 | 2 | 0 | 5 | 6 | ☆ | |
42 | Vegetable soup | 65 | 205 | 0 | 0 | 0 | 4 | 4 | 7 | 0 | 1 | −4 | ★★★☆ | |
43 | Corn soup | 143 | 143 | 1 | 2 | 1 | 4 | 8 | 1 | 1 | 0 | 6 | ☆ | |
44 | Root vegetable soup (miso soup with lot of toppings) | 86 | 286 | 0 | 0 | 1 | 9 | 10 | 4 | 1 | 4 | 1 | ★★ | |
45 | Steamed sweet potato | 98 | 98 | 1 | 0 | 5 | 1 | 7 | 0 | 0 | 3 | 4 | ★ | |
46 | Simmered potato with sweet and salty sauce | 148 | 215 | 1 | 0 | 2 | 5 | 8 | 0 | 0 | 4 | 4 | ★ | |
47 | Simmered satoimo (Japanese taro) | 126 | 197 | 0 | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 2 | ★☆ | |
48 | Potato salad | 94 | 94 | 1 | 2 | 0 | 1 | 4 | 0 | 0 | 2 | 2 | ★☆ | |
49 | French fries | 73 | 73 | 1 | 0 | 0 | 2 | 3 | 0 | 0 | 4 | −1 | ★★ | |
50 | Miso soup with potato and onion | 84 | 234 | 0 | 0 | 0 | 4 | 4 | 0 | 0 | 2 | 2 | ★☆ | |
51 | Simmered sweet pinto bean | 62 | 62 | 1 | 0 | 10 | 0 | 11 | 0 | 0 | 1 | 10 | ☆ | |
52 | Butter-fried mushrooms | 80 | 80 | 0 | 7 | 0 | 2 | 9 | 5 | 0 | 1 | 3 | ★ | |
53 | Seaweed and tuna salad | 134 | 134 | 1 | 2 | 0 | 3 | 6 | 3 | 2 | 0 | 1 | ★★ | |
54 | Simmered hijiki seaweed | 140 | 188 | 0 | 0 | 1 | 3 | 4 | 5 | 0 | 5 | −6 | ★★★★☆ | |
55 | Main dish | Yakitori chicken thigh skewer with tare sauce (two skewers) | 59 | 59 | 1 | 3 | 1 | 2 | 7 | 0 | 4 | 0 | 3 | ★★☆ |
56 | Karaage (Japanese-style fried chicken) | 77 | 77 | 1 | 0 | 0 | 2 | 3 | 0 | 10 | 0 | −7 | ★★★★★ | |
57 | Pork cutlet (with sauce) | 123 | 123 | 4 | 13 | 1 | 5 | 23 | 0 | 0 | 0 | 23 | ☆ | |
58 | Sauteed Vienna sausages | 46 | 46 | 2 | 8 | 0 | 3 | 13 | 0 | 0 | 0 | 13 | ★ | |
59 | Beef steak | 157 | 157 | 4 | 13 | 0 | 2 | 19 | 0 | 0 | 0 | 19 | ★ | |
60 | Sashimi (sliced raw fish) | 61 | 61 | 0 | 1 | 0 | 1 | 2 | 0 | 5 | 0 | −3 | ★★★★☆ | |
61 | Seared bonito | 88 | 88 | 1 | 1 | 0 | 1 | 3 | 0 | 7 | 0 | −4 | ★★★★★ | |
62 | Dried fish (horse mackerel) | 40 | 40 | 0 | 2 | 0 | 2 | 4 | 0 | 3 | 0 | 1 | ★★★☆ | |
63 | Salt-grilled salmon | 60 | 60 | 1 | 2 | 0 | 4 | 7 | 0 | 5 | 0 | 2 | ★★★ | |
64 | Salt-grilled pacific saury | 51 | 51 | 1 | 3 | 0 | 2 | 6 | 0 | 4 | 0 | 2 | ★★★ | |
65 | Yellowtail teriyaki | 71 | 71 | 2 | 5 | 0 | 2 | 9 | 0 | 6 | 0 | 3 | ★★☆ | |
66 | Meuniere salmon | 63 | 63 | 1 | 3 | 0 | 2 | 6 | 0 | 6 | 0 | 0 | ★★★★ | |
67 | Simmered fish (mackerel) | 69 | 82 | 1 | 5 | 1 | 3 | 10 | 0 | 4 | 0 | 6 | ★★ | |
68 | Fried cod | 53 | 53 | 1 | 1 | 0 | 1 | 3 | 0 | 4 | 0 | −1 | ★★★★☆ | |
69 | Fried egg | 52 | 52 | 1 | 2 | 0 | 1 | 4 | 0 | 2 | 0 | 2 | ★★★ | |
70 | Tamagoyaki (Japanese-style thick omelet) | 83 | 103 | 1 | 4 | 1 | 3 | 9 | 0 | 3 | 0 | 6 | ★★ | |
71 | Scrambled eggs (omelet) | 124 | 124 | 2 | 13 | 0 | 4 | 19 | 0 | 0 | 0 | 19 | ★ | |
72 | Japanese-style steamed egg custard | 60 | 126 | 0 | 0 | 0 | 4 | 4 | 0 | 3 | 0 | 1 | ★★★☆ | |
73 | Chilled tofu | 159 | 159 | 1 | 1 | 0 | 2 | 4 | 0 | 3 | 1 | 0 | ★★★★ | |
74 | Natto | 56 | 56 | 1 | 1 | 0 | 1 | 3 | 0 | 3 | 6 | −6 | ★★★★★ | |
75 | Mapo tofu | 200 | 227 | 2 | 5 | 1 | 5 | 13 | 0 | 0 | 2 | 11 | ★☆ | |
76 | Mixed dish | Ginger fried pork (with broccoli, tomatoes, and lettuce) | 175 | 175 | 3 | 11 | 0 | 2 | 16 | 0 | 0 | 2 | 14 | ★★★☆ |
77 | Hamburger steak (with sauce and lettuce) | 154 | 154 | 3 | 9 | 2 | 7 | 21 | 0 | 0 | 1 | 20 | ★☆ | |
78 | Nikujyaga (Japanese-style meat and potato stew) | 274 | 341 | 3 | 6 | 3 | 5 | 17 | 0 | 0 | 4 | 13 | ★★★★☆ | |
79 | Japanese-style cream stew (chicken and vegetable) | 338 | 388 | 3 | 8 | 4 | 5 | 20 | 0 | 0 | 2 | 18 | ★★ | |
80 | Sukiyaki | 371 | 414 | 7 | 17 | 4 | 10 | 38 | 0 | 0 | 6 | 32 | ☆ | |
81 | Sweet and sour pork | 272 | 285 | 5 | 12 | 5 | 8 | 30 | 1 | 0 | 4 | 25 | ☆ | |
82 | Cabbage rolls | 366 | 491 | 2 | 5 | 6 | 14 | 27 | 4 | 0 | 0 | 23 | ★ | |
83 | Assorted tempura (with tempura sauce and grated daikon radish) | 239 | 277 | 5 | 5 | 2 | 8 | 20 | 0 | 0 | 5 | 15 | ★★★ | |
84 | Simmered deep-fried vegetable tofu | 134 | 155 | 1 | 2 | 1 | 2 | 6 | 1 | 3 | 3 | −1 | ★★★★★ | |
85 | Oden | 386 | 702 | 2 | 1 | 2 | 13 | 18 | 0 | 0 | 1 | 17 | ★★☆ | |
86 | Potato croquette (with sauce) | 190 | 190 | 4 | 7 | 1 | 5 | 17 | 0 | 0 | 4 | 13 | ★★★★☆ | |
87 | Deep-fried horse mackerel, marinated in sweet vinegar sauce | 109 | 117 | 2 | 2 | 3 | 5 | 12 | 0 | 5 | 0 | 7 | ★★★★★ | |
88 | Mixed dish with staple | Oyakodon (seasoned and cooked chicken and egg bowl) | 358 | 407 | 5 | 3 | 4 | 8 | 20 | 0 | 0 | 4 | 16 | ★★★★☆ |
89 | Fried pork cutlet bowl with egg | 442 | 513 | 9 | 13 | 4 | 11 | 37 | 0 | 0 | 5 | 32 | ☆ | |
90 | Japanese-style curry and rice | 453 | 575 | 7 | 6 | 3 | 9 | 25 | 0 | 0 | 7 | 18 | ★★★ | |
91 | Chinese-style fried rice | 350 | 350 | 6 | 6 | 1 | 8 | 21 | 0 | 0 | 4 | 17 | ★★★★ | |
92 | Shrimp pilaf | 329 | 329 | 5 | 10 | 1 | 9 | 25 | 0 | 0 | 6 | 19 | ★★☆ | |
93 | Bibimbap (Korean rice dish) | 404 | 404 | 7 | 9 | 3 | 11 | 30 | 0 | 0 | 4 | 26 | ★☆ | |
94 | Unaju (eel dipped and broiled in soy-based sauce on rice) | 307 | 307 | 7 | 7 | 2 | 8 | 24 | 0 | 0 | 4 | 20 | ★★ | |
95 | Assorted sandwich (egg, ham, cheese, cucumber, and lettuce) | 227 | 227 | 5 | 15 | 2 | 9 | 31 | 0 | 0 | 5 | 26 | ★☆ | |
96 | Hamburger | 159 | 159 | 4 | 8 | 3 | 7 | 22 | 0 | 0 | 3 | 19 | ★★☆ | |
97 | Hot dog | 147 | 147 | 3 | 7 | 3 | 7 | 20 | 0 | 0 | 3 | 17 | ★★★★ | |
98 | Pizza toast | 162 | 162 | 4 | 11 | 2 | 8 | 25 | 0 | 0 | 4 | 21 | ★☆ | |
99 | Tenshin noodles (crab omelet on ramen, the ramen soup all consumed) | 477 | 727 | 7 | 7 | 1 | 30 | 45 | 0 | 0 | 8 | 37 | ☆ | |
100 | Spaghetti (Napolitan, Japanese-style ketchup-based pasta) | 333 | 333 | 5 | 3 | 3 | 14 | 25 | 0 | 0 | 8 | 17 | ★★★★ | |
101 | Yakisoba (fried noodles) | 362 | 362 | 5 | 4 | 3 | 9 | 21 | 1 | 0 | 6 | 14 | ★★★★☆ | |
102 | Okonomiyaki (fried pancake with cabbage and selected toppings) | 222 | 222 | 5 | 9 | 2 | 4 | 20 | 0 | 0 | 3 | 17 | ★★★★ | |
103 | Takoyaki (octopus balls) (10 pieces) | 127 | 277 | 3 | 2 | 2 | 5 | 12 | 0 | 5 | 0 | 7 | ★★★★★ | |
104 | Macaroni gratin | 355 | 355 | 5 | 14 | 3 | 10 | 32 | 0 | 0 | 4 | 28 | ★ | |
105 | Fried gyoza (with sauce) | 183 | 183 | 3 | 6 | 1 | 7 | 17 | 1 | 0 | 4 | 12 | ★★★★★ |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Tousen, Y.; Takebayashi, J.; Okada, C.; Suzuki, M.; Yasudomi, A.; Yoshita, K.; Ishimi, Y.; Takimoto, H. Development of a Nutrient Profile Model for Dishes in Japan Version 1.0: A New Step towards Addressing Public Health Nutrition Challenges. Nutrients 2024, 16, 3012. https://doi.org/10.3390/nu16173012
Tousen Y, Takebayashi J, Okada C, Suzuki M, Yasudomi A, Yoshita K, Ishimi Y, Takimoto H. Development of a Nutrient Profile Model for Dishes in Japan Version 1.0: A New Step towards Addressing Public Health Nutrition Challenges. Nutrients. 2024; 16(17):3012. https://doi.org/10.3390/nu16173012
Chicago/Turabian StyleTousen, Yuko, Jun Takebayashi, Chika Okada, Mariko Suzuki, Ai Yasudomi, Katsushi Yoshita, Yoshiko Ishimi, and Hidemi Takimoto. 2024. "Development of a Nutrient Profile Model for Dishes in Japan Version 1.0: A New Step towards Addressing Public Health Nutrition Challenges" Nutrients 16, no. 17: 3012. https://doi.org/10.3390/nu16173012
APA StyleTousen, Y., Takebayashi, J., Okada, C., Suzuki, M., Yasudomi, A., Yoshita, K., Ishimi, Y., & Takimoto, H. (2024). Development of a Nutrient Profile Model for Dishes in Japan Version 1.0: A New Step towards Addressing Public Health Nutrition Challenges. Nutrients, 16(17), 3012. https://doi.org/10.3390/nu16173012