Updating the DietAdvice website with new Australian food composition data

Abstract DietAdvice is an Australian self-administered dietary assessment website initially developed in 2003–2005. 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.

[1]  C T Windham,et al.  Cluster analysis to improve food classification within commodity groups. , 1985, Journal of the American Dietetic Association.

[2]  Leon S. Lasdon,et al.  Design and Use of the Microsoft Excel Solver , 1998, Interfaces.

[3]  A. Akbay,et al.  Hierarchical cluster analysis as an approach for systematic grouping of diet constituents on basis of fatty acid, energy and cholesterol content: application on consumable lamb products. , 2000, Medical hypotheses.

[4]  N. Slimani,et al.  Comparison of telephone versus face-to-face interviews in the assessment of dietary intake by the 24-hour recall EPIC SOFT programme--the Norwegian calibration study. , 2002, IARC scientific publications.

[5]  N. Slimani,et al.  Comparison of telephone vs face-to-face interviews in the assessment of dietary intake by the 24 h recall EPIC SOFT program—the Norwegian calibration study , 2003, European Journal of Clinical Nutrition.

[6]  F. Clavel-Chapelon,et al.  European Prospective Investigation into Cancer and Nutrition (EPIC) calibration study: rationale, design and population characteristics , 2002, Public Health Nutrition.

[7]  N. Slimani,et al.  Perspectives of using the EPIC-SOFT programme in the context of pan-European nutritional monitoring surveys: methodological and practical implications , 2002, European Journal of Clinical Nutrition.

[8]  N Slimani,et al.  Structure of the standardized computerized 24-h diet recall interview used as reference method in the 22 centers participating in the EPIC project. European Prospective Investigation into Cancer and Nutrition. , 1999, Computer methods and programs in biomedicine.

[9]  Gert B. M. Mensink,et al.  Validity of DISHES 98, a computerised dietary history interview: energy and macronutrient intake , 2001, European Journal of Clinical Nutrition.

[10]  J. Skinner,et al.  Individual dietary intake methodology: a 50-year review of progress. , 1988, Journal of the American Dietetic Association.

[11]  Lori Lockyer,et al.  Towards nutrition education for adults: a systematic approach to the interface design of an online dietary assessment tool , 2007, Int. J. Learn. Technol..

[12]  Yasmine Probst,et al.  What to ask in a self-administered dietary assessment website : The role of professional judgement , 2007 .

[13]  Richard A. Johnson,et al.  Applied Multivariate Statistical Analysis , 1983 .

[14]  D. Steel,et al.  Identification of food groups for use in a self-administered, computer-assisted diet history interview for use in Australia , 2009 .