Journal List > J Nutr Health > v.52(4) > 1136442

J Nutr Health. 2019 Aug;52(4):342-353. Korean.
Published online Aug 28, 2019.  https://doi.org/10.4163/jnh.2019.52.4.342
© 2019 The Korean Nutrition Society
Designing optimized food intake patterns for Korean adults using linear programming (II): adjustment of the optimized food intake pattern by establishing stepwise intake goals of sodium
Kana Asano,1 Hongsuk Yang,2 Youngmi Lee,3 Meeyoung Kim,1 and Jihyun Yoon1,4
1Department of Food and Nutrition, Seoul National University, Seoul 08826, Korea.
2Department of Business Administration, Seoul National University, Seoul 08826, Korea.
3Department of Food and Nutrition, Myongji University, Yongin, Gyeonggi 17058, Korea.
4Research Institute of Human Ecology, Seoul National University, Seoul 08826, Korea.

To whom correspondence should be addressed. tel: +82-2-880-8750, Email: hoonyoon@snu.ac.kr
Received Jan 29, 2019; Revised Jul 20, 2019; Accepted Aug 09, 2019.

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.


Abstract

Purpose

The Dietary Reference Intakes for Koreans (KDRIs) suggest that the goal for the intake of sodium should be less than 2,000 mg, which is thought to be infeasible to achieve when eating the typical Korean diet. This study aimed to obtain the new intake goals for sodium with improved feasibility to achieve, and also to design optimized food intake patterns for Korean adults by performing linear programming.

Methods

The data from a one day 24-hour dietary recall of the 2010 ~ 2014 Korea National Health and Nutrition Survey were used to quantify food items that Korean adults usually consumed. These food items were categorized into seven groups and 24 subgroups. The mean intakes and intake distributions of the food groups and the food subgroups were calculated for eight age (19 ~ 29, 30 ~ 49, 50 ~ 64, and over 65 years old) and gender (male and female) groups. A linear programming model was constructed to minimize the difference between the optimized intakes and the mean intakes of the food subgroups while meeting KDRIs for energy and 13 nutrients, and not exceeding the typical quantities of each of the food subgroups consumed by the respective age and gender groups. As an initial solution of the linear programming, the optimized intake of seasonings, including salt, was calculated as 0 g for all the age and gender groups when the sodium constraint was inserted not to exceed 2,000 mg. Therefore, the sodium constraint was progressively increased by 100 mg until the optimized intake of seasoning was obtained as the values closest to the 25th percentile of the intake distribution of seasonings for the respective age and gender groups.

Results

The optimized food intake patterns were mathematically obtained by performing linear programming when the sodium constraint values were 3,600 mg, 4,500 mg, 4,200 mg, 3,400 mg, 2,800 mg, 3,100 mg, 3,100 mg, and 2,500 mg for the eight age and gender groups.

Conclusion

The optimized food intake patterns for Korean adults were designed by performing linear programming after increasing the sodium constraint values from 2,000 mg to 2500 ~ 4,500 mg according to the age and gender groups. The resulting patterns suggest that current diets should be modified to increase the intake of vegetables for all the groups, milk/dairy products for the female groups, and fruits for the female groups except for the females aged 50 ~ 64 years.

Keywords: linear programming; sodium intake; nutritional requirements; nutrition surveys; dietary pattern

Figures


Fig. 1
Optimized food intake patterns by change the sodium constraints for Korean males aged 30 ~ 49 years
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Fig. 2
Optimized food intake patterns by change the sodium constraints for Korean females aged over 65 years
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Tables


Table 1
Mean intakes and intake distributions of seasonings including salt by age and gender groups (unit: g/day)
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Table 2
Sodium constraint values, obtained when the optimized intake of seasoning was closest to the 25th percentile of the intake distribution of seasonings using linear programming
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Table 3
Comparison of food subgroup amounts between observed and optimized food intake patterns among Korean male adults
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Table 4
Comparison of food subgroup amounts between observed and optimized food intake patterns among Korean female adults
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