Nutrient density score of typical Indonesian foods and dietary formulation using linear programming.

Objective: The present research aimed to analyse the nutrient density (ND), nutrient adequacy score (NAS) and energy density (ED) of Indonesian foods and to formulate a balanced diet using linear programming.Design: Data on typical Indonesian diets were obtained from the Indonesian Socio-Economic Su...

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Publicado en:Public Health Nutrition Vol. 15; no. 12; pp. 2185 - 2193
Autores principales: Jati IR, Vadivel V, Nöhr D, Biesalski HK, Jati, Ignasius Radix A P, Vadivel, Vellingiri, Nöhr, Donatus, Biesalski, Hans Konrad
Formato: research Journal Article
Publicado: Cambridge University Press Dec2012
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Dec2012
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      pub: Cambridge University Press
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        2011760905
        10.1017/S1368980012001139
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        atl: Nutrient density score of typical Indonesian foods and dietary formulation using linear programming.
      aug:
        au:
          Jati IR
          Vadivel V
          Nöhr D
          Biesalski HK
          Jati, Ignasius Radix A P
          Vadivel, Vellingiri
          Nöhr, Donatus
          Biesalski, Hans Konrad
        affil: Institute of Biological Chemistry and Nutrition, University of Hohenheim, Stuttgart, Germany
      sug:
        subj:
          Diet Standards
          Energy Intake
          Food Habits
          Nutrition Policy
          Nutritional Requirements
          Family Characteristics
          Human
          Indonesia
      ab: Objective: The present research aimed to analyse the nutrient density (ND), nutrient adequacy score (NAS) and energy density (ED) of Indonesian foods and to formulate a balanced diet using linear programming.Design: Data on typical Indonesian diets were obtained from the Indonesian Socio-Economic Survey 2008. ND was investigated for 122 Indonesian foods. NAS was calculated for single nutrients such as Fe, Zn and vitamin A. Correlation analysis was performed between ND and ED, as well as between monthly expenditure class and food consumption pattern in Indonesia. Linear programming calculations were performed using the software POM-QM for Windows version 3.Setting: Republic of Indonesia, 2008.Subjects: Public households (n 68 800).Results: Vegetables had the highest ND of the food groups, followed by animal-based foods, fruits and staple foods. Based on NAS, the top ten food items for each food group were identified. Most of the staple foods had high ED and contributed towards daily energy fulfillment, followed by animal-based foods, vegetables and fruits. Commodities with high ND tended to have low ED. Linear programming could be used to formulate a balanced diet. In contrast to staple foods, purchases of fruit, vegetables and animal-based foods increased with the rise of monthly expenditure.Conclusions: People should select food items based on ND and NAS to alleviate micronutrient deficiencies in Indonesia. Dietary formulation calculated using linear programming to achieve RDA levels for micronutrients could be recommended for different age groups of the Indonesian population.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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