Open Access

Comparison of a Web-Based Dietary Assessment Tool with Software for the Evaluation of Dietary Records / Primerjava Spletne Aplikacije in Računalniškega Programa Za Ovrednotenje Prehranskih Dnevnikov


Cite

1. Rosalind SG. Validity in dietary assessment methods. In: Rosalind SG, editor. Principles of nutritional assessment. 2nd ed. New York: Oxford University Press, 2005: 149-58.Search in Google Scholar

2. Ferro-Luzzi A. Keynote paper: individual food intake survey methods. FAO Corp Doc Repos. Available September 26, 2014 from: http:// www.fao.org/docrep/005/Y4249E/y4249e0a.htm#bm10.Search in Google Scholar

3. Chinnock A. Validation of an estimated food record. Public Health Nutr 2007; 9: 934-41.10.1017/PHN2005922Search in Google Scholar

4. Kobe H, Kržišnik C, Fidler Mis N. Under- and over-reporting of energy intake in Slovenian adolescents. J Nutr Educ Behav 2012; 6: 574-84.10.1016/j.jneb.2010.02.015Search in Google Scholar

5. Day N, McKeown N, Wong M, Welch A, Bingham S. Epidemiological assessment of diet: a comparison of a 7-day diary with a food frequency questionnaire using urinary markers of nitrogen, potassium and sodium. Int J Epidemiol 2001; 30: 309-17.10.1093/ije/30.2.309Search in Google Scholar

6. Burke LE, Sereika S, Choo J, Warziski M, Music E, Styn M. et al. Ancillary study to the PREFER trial: a descriptive study of participants’ patterns of self-monitoring-rationale, design and preliminary experiences. Contemp Clin Trials 2006; 27: 23-33.10.1016/j.cct.2005.10.006Search in Google Scholar

7. Thompson FE, Subar AF. Dietary assessment methodology. In: Coulston AM, Boushey CJ, Ferruzzi MG, editors. Nutrition in the prevention and treatment of disease. 3rd ed. Oxford: Elsevier, 2013: 5-46.Search in Google Scholar

8. Thompson FE, Byers T. Dietary assessment resource manual. J Nutr 1994; 124: 245-317.Search in Google Scholar

9. Jackson B, Dujovne CA, DeCoursey S, Beyer P, Brown EF, Hassanein K. Methods to assess relative reliability of diet records: minimum records for monitoring lipid and caloric intake. J Am Diet Assoc 1986; 86: 1531-5.10.1016/S0002-8223(21)04145-6Search in Google Scholar

10. Gersovitz M, Madden JP, Smiciklas-Wright H. Validity of the 24-hr dietary recall and seven-day record for group comparisons. J Am Diet Assoc 1978; 73: 48-55.10.1016/S0002-8223(21)05669-8Search in Google Scholar

11. Illner AK, Freisling H, Boeing H, Huybrechts I, Crispim SP, Slimani N. Review and evaluation of innovative technologies for measuring diet in nutritional epidemiology. Int J Epidemiol 2012; 41: 1187-203.10.1093/ije/dys105Search in Google Scholar

12. Lieffers JRL, Hanning RM. Dietary assessment and self-monitoring with nutrition applications for mobile devices. Can J Diet Pract Res 2012; 73: 253-60.10.3148/73.3.2012.e253Search in Google Scholar

13. Baranowski T, Islam N, Baranowski J, Cullen KW, Myres D, Marsh T. et al. The food intake recording software system is valid among fourthgrade children. J Am Diet Assoc 2002; 102: 380-5.10.1016/S0002-8223(02)90088-XSearch in Google Scholar

14. Carine V A, Marc C, Denise H, Lea M. Feasibility of the young children’s nutrition assessment on the web. J Am Diet Assoc 2009; 109: 1896-902.10.1016/j.jada.2009.08.013279196019857631Search in Google Scholar

15. EFSA. General principles for the collection of national food consumption data in the view of a pan-European dietary survey 1. EFSA J 2009; 7: 1-51.Search in Google Scholar

16. Burke L, Warziski M, Starrett T, Choo J, Music E, Sereika S. et al. Self-monitoring dietary intake: current and future practices. J Ren Nutr 2005; 15: 281-90.10.1016/j.jrn.2005.04.002Search in Google Scholar

17. Ming Yan Chung L, Wai Yee Chung J, Kwok Shing Wong T. Usability test of an interactive dietary recording. Int Electron J Heal Educ 2009; 12: 123-34.Search in Google Scholar

18. Beasley JM, Riley WT, Davis A, Singh J. Evaluation of a PDA-based dietary assessment and intervention program: a randomized controlled trial. J Am Coll Nutr 2008; 27: 280-6.10.1080/07315724.2008.10719701Search in Google Scholar

19. Bratanič B, Fidler Mis N, Benedik E, Rogelj I. A short presentation of the research project “The role of human milk in development of breastfed child’s intestinal microbiota.”In: Rogelj I, Fidler Mis N, Bogovič Matijašić B, editors. Moje-mleko: zbornik prispevkov: mednarodni znanstveni simpozij Vloga humanega mleka v razvoju črevesne mikrobiote dojenčka. Ljubljana: Biotehniška fakulteta, 2011: 30-4.Search in Google Scholar

20. Fidler Mis N, Kobe H, Štimec M. Dietary intake of macro- and micronutrients in slovenian adolescents: comparison with reference values. Ann Nutr Metab 2012; 61: 305-13.10.1159/000342469Search in Google Scholar

21. Computer web-based software: the Open Platform for Clinical Nutrition (OPEN). Available September 26, 2014 from: http://www.opkp.si/sl_SI/fooddiary/diary.Search in Google Scholar

22. Koroušić Seljak B. Computer-based dietary menu planning. J Food Comp Anal 2009; 22: 414-20.10.1016/j.jfca.2009.02.006Search in Google Scholar

23. Golob T, Stibilj V, Žlender B, Kropf U, Korošec M, Polak T. et al. Slovenske prehranske tabele: meso in mesni izdelki. Ljubljana: Biotehniška fakulteta, 2006.Search in Google Scholar

24. Korošec M, Golob T, Bertoncelj J, Stibilj V, Koroušić Seljak B. The Slovenian food composition database. Food Chem 2013; 140: 495-9.10.1016/j.foodchem.2013.01.005Search in Google Scholar

25. Souci S, Fachmann W, Kraut H. Food composition and nutrition tables. Stuttgart: MeDRharm, 2008.Search in Google Scholar

26. USDA. National nutrient database for standard reference. Release 17, 2011.Search in Google Scholar

27. Greenfield H, Southgate DAT. Food composition data - production, management and use. 2nd ed. Rome: Food and Agriculture Organization of the United Nations, 2003.Search in Google Scholar

28. Reinivuo H, Laitinen K. Proposal for the harmonization of recipe calculation procedures. WP2.2. Composite Foods, Finland: National Public Health Institute, 2007.Search in Google Scholar

29. Koroušić Seljak B, Pokorn D, Stibilj V, Pograjc L. Evaluation of a web application for dietary menu planning. 2nd International EuroFIR Congress. 26th-27th Sept. 2007. Granada: EuroFIR, 2007: 119.Search in Google Scholar

30. Koroušić Seljak B, Stibilj V, Pograjc L, Fidler Mis N, Benedik E. Food composition databases for effective quality nutritional care. Food Chem 2013; 140: 553-61.10.1016/j.foodchem.2013.02.061Search in Google Scholar

31. Benedik E, Koroušić Seljak B, Simčič M, Rogelj I, Bratanič B, Ding EL. et al. Comparison of paper- and web-based dietary records: a pilot study. Ann Nutr Metab 2014; 64: 156-66.10.1159/000363336Search in Google Scholar

32. Acharya SD, Elci OU, Sereika SM, Styn MA, Burke LE. Using a personal digital assistant for self-monitoring influences diet quality in comparison to a standard paper record among overweight/obese adults. J Am Diet Assoc 2011; 111: 583-8.10.1016/j.jada.2011.01.009Search in Google Scholar

33. Yon BA, Johnson RK, Harvey-Berino J, Gold BC, Howard AB. Personal digital assistants are comparable to traditional diaries for dietary self-monitoring during a weight loss program. J Behav Med 2007; 30: 165-75.10.1007/s10865-006-9092-1Search in Google Scholar

34. Probst Y, Tapsell LC. Overview of computerized dietary assessment programs for research and practice in nutrition education overview of computerized dietary assessment programs for research. J Nutr Educ Behav 2005; 37: 20-6.10.1016/S1499-4046(06)60255-8Search in Google Scholar

eISSN:
1854-2476
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Medicine, Clinical Medicine, Hygiene and Environmental Medicine