Literature DB >> 7811378

Optimizing the diet with whole grains.

F M Clydesdale1.   

Abstract

Dietary recommendations may be perceived by the general population as causing a shift to less food and perhaps to less aesthetically pleasing foods often resulting in noncompliance. Technology can play a key role in this scenario by creating new formulated foods as well as by utilizing technology to modify whole foods or foods containing whole foods and enhancing both their health benefits and acceptability. At present we have evidence for a positive role in health of nutrients and many nonnutrients in foods, such as whole grains. However, all the linkages between dietary components and disease are not clear. Therefore, it is critical to design not only appealing formulated foods, but to also ensure adequate consumption of whole foods in order to obtain those compounds we know to be linked to good health, as well as those yet-unknown compounds or interactions in food that are also linked to good health. In all cases, the technical and functional properties of food, as well as the nutritional, must be considered in order to optimize acceptability and assist in achieving compliance in meeting dietary recommendations.

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Year:  1994        PMID: 7811378     DOI: 10.1080/10408399409527675

Source DB:  PubMed          Journal:  Crit Rev Food Sci Nutr        ISSN: 1040-8398            Impact factor:   11.176


  2 in total

1.  Genomic regions influencing gene expression of the HMW glutenins in wheat.

Authors:  Eric W Storlie; Robert J Ihry; Leslie M Baehr; Karissa A Tieszen; Jonathan H Engbers; Jordan M Anderson-Daniels; Elizabeth M Davis; Anne G Gilbertson; Niels R Harden; Kristina A Harris; Amanda J Johnson; Amy M Kerkvleit; Matthew M Moldan; Megan E Bell; Michael K Wanous
Journal:  Theor Appl Genet       Date:  2008-10-07       Impact factor: 5.699

2.  Whole Grain Intake Reduces Pancreatic Cancer Risk: A Meta-Analysis of Observational Studies.

Authors:  Qiucheng Lei; Huazhen Zheng; Jingcheng Bi; Xinying Wang; Tingting Jiang; Xuejin Gao; Feng Tian; Min Xu; Chao Wu; Li Zhang; Ning Li; Jieshou Li
Journal:  Medicine (Baltimore)       Date:  2016-03       Impact factor: 1.889

  2 in total

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