Designing optimal food intake patterns to achieve nutritional goals for Japanese adults through the use of linear programming optimization models.
Background: Simultaneous dietary achievement of a full set of nutritional recommendations is difficult. Diet optimization model using linear programming is a useful mathematical means of translating nutrient-based recommendations into realistic nutritionally-optimal food combinations incorporating l...
| Publicado en: | Nutrition Journal Vol. 14; pp. 57 - 58 |
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| Autores principales: | , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
BioMed Central
2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=109582389&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 109582389 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14752891 1CYY jtl: Nutrition Journal issn: 14752891 maglogo: N pubinfo: dt: 2015 vid: 14 pid: 24147 pub: BioMed Central artinfo: ui: 109582389 NLM26048405 2013057331 10.1186/s12937-015-0047-7 NLM26048405 PMC4470056 109582389 ppf: 57 ppct: 1 formats: fmt: @attributes: type: P tig: atl: Designing optimal food intake patterns to achieve nutritional goals for Japanese adults through the use of linear programming optimization models. aug: au: Okubo, Hitomi Sasaki, Satoshi Murakami, Kentaro Yokoyama, Tetsuji Hirota, Naoko Notsu, Akiko Fukui, Mitsuru Date, Chigusa sug: ab: Background: Simultaneous dietary achievement of a full set of nutritional recommendations is difficult. Diet optimization model using linear programming is a useful mathematical means of translating nutrient-based recommendations into realistic nutritionally-optimal food combinations incorporating local and culture-specific foods. We used this approach to explore optimal food intake patterns that meet the nutrient recommendations of the Dietary Reference Intakes (DRIs) while incorporating typical Japanese food selections.Methods: As observed intake values, we used the food and nutrient intake data of 92 women aged 31-69 years and 82 men aged 32-69 years living in three regions of Japan. Dietary data were collected with semi-weighed dietary record on four non-consecutive days in each season of the year (16 days total). The linear programming models were constructed to minimize the differences between observed and optimized food intake patterns while also meeting the DRIs for a set of 28 nutrients, setting energy equal to estimated requirements, and not exceeding typical quantities of each food consumed by each age (30-49 or 50-69 years) and gender group.Results: We successfully developed mathematically optimized food intake patterns that met the DRIs for all 28 nutrients studied in each sex and age group. Achieving nutritional goals required minor modifications of existing diets in older groups, particularly women, while major modifications were required to increase intake of fruit and vegetables in younger groups of both sexes. Across all sex and age groups, optimized food intake patterns demanded greatly increased intake of whole grains and reduced-fat dairy products in place of intake of refined grains and full-fat dairy products. Salt intake goals were the most difficult to achieve, requiring marked reduction of salt-containing seasoning (65-80%) in all sex and age groups.Conclusion: Using a linear programming model, we identified optimal food intake patterns providing practical food choices and meeting nutritional recommendations for Japanese populations. Dietary modifications from current eating habits required to fulfil nutritional goals differed by age: more marked increases in food volume were required in younger groups. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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