Nutr Res Pract.  2020 Feb;14(1):32-44. 10.4162/nrp.2020.14.1.32.

Development of the anti-cancer food scoring system 2.0: Validation and nutritional analyses of quantitative anti-cancer food scoring model

• Hong YJ
• Kim J
• Lee HY
• Rim CH

• KMID: 2468511
• DOI: http://doi.org/10.4162/nrp.2020.14.1.32

Abstract

BACKGROUND/OBJECTIVES
We have previously designed the anti-cancer food scoring model (ACFS) 1.0, an evidence-based quantitative tool analyzing the anti-cancer or carcinogenic potential of diets. Analysis was performed using simple quantitative indexes divided into 6 categories (S, A, B, C, D, and E). In this study, we applied this scoring model to wider recipes and evaluated its nutritional relevance.
MATERIALS/METHODS
National or known regional databases were searched for recipes from 6 categories: Korean out-dining, Korean home-dining, Western, Chinese, Mediterranean, and vegetarian. These recipes were scored using the ACFS formula and the nutrition profiles were analyzed.
RESULTS
Eighty-eight international recipes were analyzed. All S-graded recipes were from vegetarian or Mediterranean categories. The median code values of each category were B (Korean home-dining), C (Korean out-dining), B (Chinese), A (Mediterranean), S (vegetarian), and D (Western). The following profiles were correlated (P < 0.05) with ACFS grades in the univariate trend analysis: total calories, total fat, animal fat, animal protein, total protein, vitamin D, riboflavin, niacin, vitamin B₁₂, pantothenic acid, sodium, animal iron, zinc, selenium, and cholesterol (negative trends), and carbohydrate rate, fiber, water-soluble fiber, vitamin K, vitamin C, and plant calcium (positive trends). Multivariate analysis revealed that animal fat, animal iron, and niacin (negative trends) and animal protein, fiber, and vitamin C (positive trends) were statistically significant. Pantothenic acid and sodium showed non-significant negative trends (P < 0.1), and vitamin B₁₂ showed a non-significant positive trend.
CONCLUSION
This study provided a nutritional basis and extended the utility of ACFS, which is a bridgehead for future cancer-preventive clinical trials using ACFS.

Keyword

Cancer; prevention; food; diet; scoring model

MeSH Terms

Animals
Ascorbic Acid
Asian Continental Ancestry Group
Calcium
Cholesterol
Diet
Humans
Iron
Multivariate Analysis
Niacin
Pantothenic Acid
Plants
Riboflavin
Selenium
Sodium
Vegetarians
Vitamin D
Vitamin K
Vitamins
Zinc
Ascorbic Acid
Calcium
Cholesterol
Iron
Niacin
Pantothenic Acid
Riboflavin
Selenium
Sodium
Vitamin D
Vitamin K
Vitamins
Zinc

Figure

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  Fig. 1 Calculation algorithm of anti-cancer food scoring system (ACFS)

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