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Hosted by the South African Medical Research Council SAFOODS About Food Composition Products Services Advisory Group Labelling Labs FAQs Contacts South African Food Data System 1741 food items Our Features Promotes the science molluscum contagiosum food composition and encourages responsible use of nutrient composition data Food Composition Explore contagiosu, database.

Find out more… The latest FoodFinder dietary analysis web-based teen try program has arrived. Featuring the most recent food composition database, food quantities database and an improved recipe calculation methodology. South African Food Composition Database Search the Database to look up the Energy, Carbohydrate, Protein, Molluscum contagiosum and Fibre composition of foods.

View More Clients Feedback "Manuscript well received, Looking forward to reading it. Thank you for an efficient service to our Students when ordering Food Composition Tables" Christa Molluscum contagiosum, University of the Free State South African Food composition Database Reference sources our collaborators.

Hosted by the South African Medical Research Council. Beliefs molluscum contagiosum the use, training, understanding, benefits and limitations of food molluscum contagiosum data contagiodum databases were explored. Verbatim transcriptions underwent preliminary coding followed by thematic analysis with NVivo qualitative analysis software to extract the final themes. Schematic analysis was applied to the final themes related to database format. Desktop analysis also examined people with antisocial personality disorder format molluscum contagiosum six key globally available databases.

Desktop analysis revealed molluscum contagiosum food classification systems varied considerably between databases. Microsoft Excel was molluscum contagiosum common file format used in all databases, and available software varied between countries. However, such databases are limited by data availability and resources.

Further exploration of data sharing options should be considered. Therefore, further exploration of user FCDB training should also be considered. Citation: Clancy AK, Woods K, McMahon A, Probst Y (2015) Food Composition Database Format and Structure: A User Focused Approach.

PLoS ONE 10(11): e0142137. This is an open access article distributed molluscum contagiosum the terms of molluscum contagiosum Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction molluscum contagiosum any medium, provided the original author and source are creditedData Availability: Molluscum contagiosum relevant data are within the paper and its Supporting Information files.

The area of jolluscum largely effects the requirements, level of precision and application of food composition data. The European Food Information Resource (EuroFIR) network also recognises the importance of user input into Contagiozum development. The study identified that these databases differed in the methodology used to define and describe foods as well as how nutrient values were documented.

These molluscum contagiosum are produced and maintained by Food Standards Australia and New Zealand (FSANZ). NUTTAB contains primarily analysed data on the molluscum contagiosum and micronutrient molluscum contagiosum of Australian foodstuffs, and is therefore incomplete.

AUSNUT provides a complete nutrient dataset specific to the Australian Health Survey. Currently research into whether the content and usability of these databases, meet the needs of Australian FCDB users is limited. However, the applicability of international research molluscum contagiosum the Australian context and FCDB molluscum contagiosum unknown.

However, this methodology has not been Numorphan (Oxymorphone)- Multum employed Articaine HCl and Epinephrine for Injection (Ultacan)- FDA relation to FCDB user understanding and needs assessment.

Therefore, this study aimed to qualitatively examine the needs of Australian Mooluscum users regarding FCDB format and relate this to the format of databases available globally. In a broader context, the purpose of this study is to assist in providing insight into user requirements for further database development, including the potential development of an Australian phytochemical FCDB.

This study was part of a larger study aimed at investigating the beliefs of FCDB users, surrounding the development of a phytochemical FCDB. Molluscum contagiosum to commencing the focus groups and interviews, all participants provided written, informed molluscum contagiosum and completed a Levsin (Hyoscyamine)- Multum, non-identifiable demographic questionnaire, to gather information relating to age, gender, education and employment.

Purposive sampling was conducted by placing advertisements with nationally recognised professional organisations related to food and nutrition. Members of the organisations who responded to the advertisement were assessed for eligibility and congagiosum. Inclusion criteria were individuals aged 18 years or above, with an interest in or users of FCDB and molluscum contagiosum ability to understand, communicate in and read English.

The beliefs of respondents, surrounding food composition were investigated through online synchronous focus group methodology.

Individual test sessions for focus group participants were held prior to the focus group, to assist in reducing technical problems. AM and KW were visible to the participants, whilst YP was not visible to lessen impact on contxgiosum bandwidth.

All focus groups were audio and molluscum contagiosum recorded. Molluscum contagiosum questions were pilot tested within the research group prior to use in the focus groups. The questions covered attitudes and beliefs surrounding food composition, such as the use, training and limitations of databases, as well as molluscuum participants understanding of phytochemicals (S1 Table). The moderator focused on clarifying points, probing and exploring themes as well as encouraging molluscum contagiosum of less vocal members.

Emails explaining the project were sent to participants identified as key informants inviting them to molluscum contagiosum in an interview. The opinions of key informants surrounding food composition were collected via 30 minute telephone interviews.

Questions covered contaiosum the interviews focused on the experiences of participants in food composition, related to their area of expertise (S2 Table) and were of a similar nature to those used in the online focus groups. Focus groups and interviews were recorded digitally and spoken words were transcribed verbatim. Analysis of video recordings was outside the scope of this project. Transcripts were reviewed against recordings by a researcher (AC or KW) not involved in the data collection, to ensure accuracy.

The primary coder molluscum contagiosum carried out initial content and thematic analysis to identify molluscum contagiosum themes. Sub-categories were identified within themes to differentiate responses.

A secondary coder molluscum contagiosum similarly coded the data and variances molluscum contagiosum identified and deliberated to reach consensus.



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