Updating the DietAdvice website with new Australian food composition data

Abstract

DietAdvice is an Australian self-administered dietary assessment website initially developed in [2003][2004][2005]. The website allows patients to enter their dietary information and dieticians to remotely access and interpret the data. DietAdvice is presently being updated with new Australian food composition data. This study aims to describe the update process for moving from 1995 to 2006 food composition data. The database for the website was developed using grouped food data from the NUTTAB 1995 database. All food groups were cross-matched with the food from the NUTTAB 2006 database using the food ID codes. Rules were applied to determine the suitability of the food for inclusion in the database. New, ungrouped foods were considered individually and added to existing groups or grouped together as new groups. Foods within each group were statistically weighted to determine the nutrient profile for each group. The NUTTAB 1995 data was used to develop 19, 103 and 422 first, second and third level groups, respectively. From the NUTTAB 2006 data, an additional 623 foods needed to be individually considered. The final database contained 23, 123 and 430 first, second and third level groups, respectively. Ensuring the most recent food composition data is incorporated into the database of the website will maximise the accuracy of the dietary advice provided by the dieticians.

Potential of existing online 24-h dietary recall tools for national dietary surveys

“…A general description of the eighteen identified tools is available in Table 1. Among them, eleven (B (46) , D (49) , H (53) , I (54) , J (55) , K (31) , L (56) , N, O (58) , Q (60) and R (61) ) were developed in Europe, five (A (45) , F (51) , G (52) , M (70) and P (59) ) in North America (USA and Canada), one (E (50,64) ) in Australia and one (C (48) ) in South Korea. Five (A (71) , I (72) , J (36) , K (73) and R (61) ) have already been adapted to be used in another country, and in particular, two (I (72) and J (74) ) have already been adapted for low-income countries (Middle East countries, Peru or the South-Asia region).…”

Nutrient databases without borders: Canada and the US address the issues with international input

“…This paper covers both nutrition and trans fat labelling and describes FDA's plan to utilize this mechanism to monitor the market. From the session on database technology (software, Internet, information), Probst et al (2009) describe their efforts to update the DietAdvice website in Australia with new food composition data from that country; they hope to ensure that dietary advice provided reflects the most up to date food composition data. Also from the session on database technology (software, Internet, information), Shimakawa et al (2009) present a paper on the development of downloadable and printable posters for nutrition information of raw fruits, vegetables, and fish.…”

Dietary Patterns and Cardiovascular Disease: Insights and Challenges for Considering Food Groups and Nutrient Sources

“…For example, for studies in diet and cardiovascular disease, foods can be categorised together based on their macronutrient composition, given the interest in dietary fat. Statistical methods such as cluster analysis [ 33 , 34 ] may categorise a cereal food like pasta with a dairy food such as custard given their carbohydrate profiles [ 35 ], but this may be a mis-categorisation when the translation of the research is intended to consider foods that could be interchanged within meals. Issues such as consumer understanding of food categories or alignment with dietary guidelines often need to be considered [ 36 ].…”