prikaz prve stranice dokumenta Food composition database reliability in calculations of diet offers
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Scientific paper - Original scientific paper
Food composition database reliability in calculations of diet offers
Journal of Food Composition and Analysis, 77 (2019); 101-107. https://doi.org/10.1016/j.jfca.2019.01.013
Resman, Bernarda; Rahelić, Dario; Gajdoš Kljusurić, Jasenka; Martinis, Irena

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Resman, B., Rahelić, D., Gajdoš Kljusurić, J. & Martinis, I. (2019). Food composition database reliability in calculations of diet offers. Journal of Food Composition and Analysis, 77., 101-107. doi: 10.1016/j.jfca.2019.01.013

Resman, Bernarda, et al. "Food composition database reliability in calculations of diet offers." Journal of Food Composition and Analysis, vol. 77, 2019, pp. 101-107. https://doi.org/10.1016/j.jfca.2019.01.013

Resman, Bernarda, Dario Rahelić, Jasenka Gajdoš Kljusurić and Irena Martinis. "Food composition database reliability in calculations of diet offers." Journal of Food Composition and Analysis 77 (2019): 101-107. https://doi.org/10.1016/j.jfca.2019.01.013

Resman, B., et al. (2019) 'Food composition database reliability in calculations of diet offers', Journal of Food Composition and Analysis, 77, pp. 101-107. doi: 10.1016/j.jfca.2019.01.013

Resman B, Rahelić D, Gajdoš Kljusurić J, Martinis I. Food composition database reliability in calculations of diet offers. Journal of Food Composition and Analysis [Internet]. 2019 April [cited 2024 December 23];77:101-107. doi: 10.1016/j.jfca.2019.01.013

B. Resman, D. Rahelić, J. Gajdoš Kljusurić and I. Martinis, "Food composition database reliability in calculations of diet offers", Journal of Food Composition and Analysis, vol. 77, pp. 101-107, April 2019. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:159:932766. [Accessed: 23 December 2024]

Metadata
Title (english)Food composition database reliability in calculations of diet offers
AuthorBernarda Resman
AuthorDario Rahelić
AuthorJasenka Gajdoš Kljusurić
AuthorIrena Martinis
Author's institutionUniversity of Zagreb
Faculty of Food Technology and Biotechnology
(Department of Process Engineering)
(Laboratory for Measurement, Regulation and Automatisation)
Scientific / art field,
discipline and subdiscipline		BIOTECHNICAL SCIENCES
Food Technology
Abstract (english)
This study analysed food offers and compared food composition of daily menus of two most common hospital diets, pancreatic and diabetic diet. In diets that are concentrated on the minimisation of some food components (as minimisation of carbohydrate content in diabetic diet or fat intake minimisation in the pancreatic diet), use of a reliable Food Composition database (FCDB) is an important factor. By use of four FCDBs, Croatian, Danish, USDA and the hospital FCDB, the food composition was analysed. Seven daily offers per two seasons were analysed (seasons: Spring/Summer & Autumn/Winter). Descriptive statistics as well as multivariate tools were used to investigate differences in the food composition, when different FCDB’s were the basis of calculations. Multivariate analysis detected food composition differences in booth diets, when different FCDBs were used (content of energy, proteins, sodium, magnesium, iron & zinc) as well as for offers in different seasons. To be sure that the differences are significant we applied the Bland-Altman test. The results showed different biases and ranges – but none of the food component showed to be significantly different, which would lead to a potential rejection of some of the used FCDB. Those results are a strong confirmation that the Bland-Altman test ensures objective conclusions; like which FCDB is applicable for food composition analysis and menu planning.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Journal titleJournal of Food Composition and Analysis
Numberingvol. 77, pp. 101-107
p-ISSN0889-1575
DOIhttps://doi.org/10.1016/j.jfca.2019.01.013
URN:NBNurn:nbn:hr:159:932766
Publication2019-04
Document URLhttps://www.sciencedirect.com/science/article/abs/pii/S0889157519300882?via%3Dihub
Type of resourceText
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2021-11-22 10:42:15