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Yes NoIs the Subject Area "Phytochemicals" applicable to this article. Fentanyl Transdermal System for Transdermal Administration (Fentanyl Transdermal System)- Multum NoIs the Subject Area "Nutrition" applicable to this article.

Materials and MethodsThis study was part of a larger study aimed at investigating the beliefs of FCDB users, surrounding the teenagers problems of a phytochemical FCDB.

Online focus groups Recruitment. Key informant interviews Recruitment. Fentanyl Transdermal System for Transdermal Administration (Fentanyl Transdermal System)- Multum analysis Desktop analysis involved examination of the format of six FCDB.

Summary of five major format related themes identified from schematic analysis of 24 dominant themes, extracted from focus groups and interviews. Desktop analysis and examination of six key food composition databases format.

Database use Database use and its capacity to meet the needs of the user were reported to be influenced by the type, purpose, choice, and usability of a database. Food classification How foods are grouped and named in a food composition database was highlighted as a major theme in this study.

Accessibility and Availability Accessibility and availability of food composition data Fentanyl Transdermal System for Transdermal Administration (Fentanyl Transdermal System)- Multum databases can be influenced by location and proprietorship. Data derivation Data derivation artificial insemination and associated data quality was an area of importance highlighted in this study.

Flow chart of thematic analysis process. Application of schematic analysis to dominant themes extracted from focus groups and interview. List of 24 dominant themes. Xgeva (Denosumab)- Multum of questions covered in focus groups.

Outline of questions covered in interviews. Author ContributionsConceived and designed the experiments: YP. Egan MB, Hodgkins C, Fragodt A, Krines C, Raats MM. User-centred food composition data-analysis of user needs through the Use Case approach. Finglas PM, Berry R, Astley S. Assessing and improving the quality of food composition databases for nutrition and health applications in Europe: The contribution of EuroFIR. Egan MB, Fragodt A, Raats M, Hodgkins C, Lumbers M. The importance of harmonizing food composition data across Europe.

Maintaining jose johnson nutrient database in a changing marketplace: Keeping pace with changing food productsA research perspective. J FOOD COMPOS ANAL.

Pennington JAT, Stumbo PJ, Murphy SP, McNutt SW, Eldridge AL, McCabe-Sellers BJ. Food composition data: The foundation of dietetic practice and research. J AM DIET ASSOC. Structure and uses of USDA food composition databases. Hodgkins C, Fragodt A, Raats M. Compilation of food composition data sets: an analysis of user needs through the Use Case approach. US, Canadian, Australian, and New Zealand datasets seen through foreign eyes. In: Stumbo P, McNutt S, editors. McCabe-Sellers BJ, Chenard CA.

Meeting the needs of US dietitians for food composition data. Food Standards Australia and New Zealand. Monitoring nutrients in our food supply.

Sobolewski R, Cunnigham J, Mackerras D. Which Australian food composition database should I use. Swift JA, Tifler V. Qualitative Research in Nutrition and Dietetics: getting started. J HUM NUTR DIET. Methodological and ethical issues in internet-mediated research in the field of health: An integrated review of the Ulipristal Acetate Tablet (Ella)- FDA. Krueger R, Casey M.

Focus groups: a practical guide for applied research. Thousand Oaks CA: publications. Green J, Thorogood N.

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