A dietary feedback system for the delivery of consistent
personalized dietary advice in the web-based multicenter
Food4Me study
Forster, H., Walsh, M. C., O'Donovan, C. B., Woolhead, C., McGirr, C., Daly, E. J., O'Riordan, R., Celis-Morales, C., Fallaize, R., Macready, A. L.  ORCID: https://orcid.org/0000-0003-0368-9336, Marsaux, C. F.M., Navas-Carretero, S., San-Cristobal, R., Kolossa, S., Hartwig, K., Mavrogianni, C., Tsirigoti, L., Lambrinou, C. P., Godlewska, M., Surwillo, A. et al, Gjelstad, I. M. F., Drevon, C. A., Manios, Y., Traczyk, I., Martinez, J. A., Saris, W. H. M., Daniel, H., Lovegrove, J. A. ORCID: https://orcid.org/0000-0001-7633-9455, Mathers, J. C., Gibney, M. J., Gibney, E. R. and Brenan, L.
(2016)
A dietary feedback system for the delivery of consistent
personalized dietary advice in the web-based multicenter
Food4Me study.
Journal of Medical Internet Research, 18 (6).
e150.
ISSN 1438-8871
It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.2196/jmir.5620 Abstract/SummaryBackground: Despite numerous healthy eating campaigns, the prevalence of diets high in saturated fatty acids, sugar, and salt and low in fiber, fruit, and vegetables remains high. With more people than ever accessing the Internet, Web-based dietary assessment instruments have the potential to promote healthier dietary behaviors via personalized dietary advice.
Objective: The objectives of this study were to develop a dietary feedback system for the delivery of consistent personalized dietary advice in a multicenter study and to examine the impact of automating the advice system.
Methods: The development of the dietary feedback system included 4 components: (1) designing a system for categorizing
nutritional intakes; (2) creating a method for prioritizing 3 nutrient-related goals for subsequent targeted dietary advice; (3)
constructing decision tree algorithms linking data on nutritional intake to feedback messages; and (4) developing personal feedback
reports. The system was used manually by researchers to provide personalized nutrition advice based on dietary assessment to 369 participants during the Food4Me randomized controlled trial, with an automated version developed on completion of the study.
Results: Saturated fatty acid, salt, and dietary fiber were most frequently selected as nutrient-related goals across the 7 centers.
Average agreement between the manual and automated systems, in selecting 3 nutrient-related goals for personalized dietary
advice across the centers, was highest for nutrient-related goals 1 and 2 and lower for goal 3, averaging at 92%, 87%, and 63%,
respectively. Complete agreement between the 2 systems for feedback advice message selection averaged at 87% across the centers.
Conclusions: The dietary feedback system was used to deliver personalized dietary advice within a multi-country study. Overall, there was good agreement between the manual and automated feedback systems, giving promise to the use of automated systems
for personalizing dietary advice.
Downloads per month over past year
| Funders: |
European Commission
| The sponsoring bodies who contributed funding for the creation of this item.
Example: NERC
Example: The Royal Society of Chemistry
A pick list of funders may appear as you type in the funder's name in full or as an acronym. Select a correct match to complete the field or type in a new entry in full. For new entries, the full name is preferred. |
|---|
| Projects: |
Food4Me
Funded by:
European Commission
(FP7-KBBE-2010-4 265494 - £321,916)
Local Lead (PI): Julie Lovegrove
1 April 2011 - 31 March 2015
| Click Add to select your project (received at Reading) from an autocomplete list. |
|---|
| Date Deposited: | 22 Aug 2016 09:51 | Date item deposited into CentAUR |
|---|
| Last Modified: | 25 Jan 2024 01:37 | Date item last modified |
|---|
Wright JL, Sherriff JL, Dhaliwal SS, Mamo John C L. Tailored, iterative, printed dietary feedback is as effective as group education in improving dietary behaviours: results from a randomised control trial in middle-aged adults with cardiovascular risk factors. Int J Behav Nutr Phys Act 2011;8:43 [FREE Full text] [CrossRef]
Desroches S, Lapointe A, Ratté S, Gravel K, Légaré F, Turcotte S. Interventions to enhance adherence to dietary advice for preventing and managing chronic diseases in adults. Cochrane Database Syst Rev 2013;2:CD008722.
McCarthy M. Higher sugar intake linked to raised risk of cardiovascular mortality, study finds. BMJ 2014;348:g1352.
Dhurandhar NV, Thomas D. The link between dietary sugar intake and cardiovascular disease mortality: an unresolved question. JAMA 2015 Mar 3;313(9):959-960.
Swinburn B, Sacks G, Vandevijvere S, Kumanyika S, Lobstein T, Neal B, INFORMAS. INFORMAS (International Network for Food and Obesity/non-communicable diseases Research, Monitoring and Action Support): overview and key principles. Obes Rev 2013 Oct;14 Suppl 1:1-12.
Block G, Block T, Wakimoto P, Block CH. Demonstration of an E-mailed worksite nutrition intervention program. Prev Chronic Dis 2004 Oct;1(4):A06
Probst YC, Tapsell LC. Overview of computerized dietary assessment programs for research and practice in nutrition education. J Nutr Educ Behav 2005;37(1):20-26.
Tate DF, Jackvony EH, Wing RR. A randomized trial comparing human e-mail counseling, computer-automated tailored counseling, and no counseling in an Internet weight loss program. Arch Intern Med 2006;166(15):1620-1625.
Juan W, Gerrior S, Hiza H. MyPyramid Tracker assesses food consumption, physical activity, and energy balance status interactively. J Nutr Educ Behav 2006;38(6 Suppl):S155-S157.
van GL, van EP, Boon B, Borsboom G, Visscher T, Oenema A. Results from an online computer-tailored weight management intervention for overweight adults: randomized controlled trial. J Med Internet Res 2012;14(2):e44
Celis-Morales C, Lara J, Mathers JC. Personalising nutritional guidance for more effective behaviour change. Proc Nutr Soc 2015 May;74(2):130-138.
Anton SD, LeBlanc E, Allen HR, Karabetian C, Sacks F, Bray G, et al. Use of a computerized tracking system to monitor and provide feedback on dietary goals for calorie-restricted diets: the POUNDS LOST study. J Diabetes Sci Technol 2012 Sep;6(5):1216-1225
Springvloet L, Lechner L, Oenema A. Planned development and evaluation protocol of two versions of a web-based computer-tailored nutrition education intervention aimed at adults, including cognitive and environmental feedback. BMC Public Health 2014;14:47
Forster H, Walsh MC, Gibney MJ, Brennan L, Gibney ER. Personalised nutrition: the role of new dietary assessment methods. Proc Nutr Soc 2016 Feb;75(1):96-105.
Ezendam Nicole P M, Brug J, Oenema A. Evaluation of the Web-based computer-tailored FATaintPHAT intervention to promote energy balance among adolescents: results from a school cluster randomized trial. Arch Pediatr Adolesc Med 2012 Mar;166(3):248-255.
Kroeze W, Oenema A, Campbell M, Brug J. The efficacy of Web-based and print-delivered computer-tailored interventions to reduce fat intake: results of a randomized, controlled trial. J Nutr Educ Behav 2008;40(4):226-236.
Lustria Mia Liza A, Noar SM, Cortese J, Van Stee Stephanie K, Glueckauf RL, Lee J. A meta-analysis of web-delivered tailored health behavior change interventions. J Health Commun 2013;18(9):1039-1069.
Moore TJ, Alsabeeh N, Apovian CM, Murphy MC, Coffman GA, Cullum-Dugan D, et al. Weight, blood pressure, and dietary benefits after 12 months of a Web-based Nutrition Education Program (DASH for health): longitudinal observational study. J Med Internet Res 2008;10(4):e52
Patrick K, Calfas KJ, Norman GJ, Rosenberg D, Zabinski MF, Sallis JF, et al. Outcomes of a 12-month web-based intervention for overweight and obese men. Ann Behav Med 2011 Dec;42(3):391-401.
Sternfeld B, Block C, Quesenberry CP, Block TJ, Husson G, Norris JC, et al. Improving diet and physical activity with ALIVE: a worksite randomized trial. Am J Prev Med 2009 Jun;36(6):475-483.
Oenema A, Tan F, Brug J. Short-term efficacy of a web-based computer-tailored nutrition intervention: main effects and mediators. Ann Behav Med 2005 Feb;29(1):54-63.
Illner A, 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 Aug;41(4):1187-1203
Kannan S, Schulz A, Israel B, Ayra I, Weir S, Dvonch TJ, et al. A community-based participatory approach to personalized, computer-generated nutrition feedback reports: the healthy environments partnership. Prog Community Health Partnersh 2008;2(1):41-53
Brug J. Dutch research into the development and impact of computer-tailored nutrition education. Eur J Clin Nutr 1999 May;53 Suppl 2:S78-S82.
Celis-Morales C, Livingstone KM, Marsaux Cyril F M, Forster H, O'Donovan CB, Woolhead C, Matthews John N S, Saris Wim H M, et al. Design and baseline characteristics of the Food4Me study: a web-based randomised controlled trial of personalised nutrition in seven European countries. Genes Nutr 2015 Jan;10(1):450
Forster H, Fallaize R, Gallagher C, O'Donovan CB, Woolhead C, Walsh MC, et al. Online dietary intake estimation: the Food4Me food frequency questionnaire. J Med Internet Res 2014;16(6):e150
Fallaize R, Forster H, Macready AL, Walsh MC, Mathers JC, Brennan L, et al. Online dietary intake estimation: reproducibility and validity of the Food4Me food frequency questionnaire against a 4-day weighed food record. J Med Internet Res 2014;16(8):e190
Institute of Medicine. Dietary Reference Intakes for energy, Carbohydrate, Fibre, Fat, Fatty acids, Cholesterol, Protein, and Amino acids. 2005 URL: http://www.nap.edu/openbook.php?isbn=0309085373 [accessed 2016-01-25]
Institute of Medicine. Dietary Reference Intakes Tables and Applications. 2011 URL: http://www.iom.edu/Activities/Nutrition/SummaryDRIs/DRI-Tables.aspx [accessed 2012-01-18]
World Health Organisation. Protein and Amino acid requirements in Human Nutrition. 2007 URL: http://apps.who.int/iris/bitstream/10665/43411/1/WHO_TRS_935_eng.pdf [accessed 2012-01-18] [WebCite Cache]
World Health Organisation. Food and Agriculture Organisation of the United Nations (FAO) report of an expert consultation on fats and fatty acids in human nutrition. 2010. URL: http://www.who.int/nutrition/publications/nutrientrequirements/fatsandfattyacids_humannutrition/en/ [accessed 2012-01-20]
Public Health Agency. Enjoy Healthy Eating. 2012. URL: http://www.enjoyhealthyeating.info/nutrition/adults [accessed 2016-01-25]
British Dietetic Association. Food Fact Sheets. 2013. URL: https://www.bda.uk.com/foodfacts/home [accessed 2016-01-25]
British Dietetic Association. Weight Wise Eating well what?s a healthy diet?. 2013. URL: http://www.bdaweightwise.com/eating/eating_diet3.html [accessed 2016-01-25]
British Nutrition Foundation. Healthy eating. 2013. URL: https://www.nutrition.org.uk/healthyliving/healthyeating.html [accessed 2016-01-25]
Food Saftey Authority Ireland. Scientific Recommendations for Healthy Eating Guidelines in Ireland. 2011. URL: https://www.fsai.ie/science_and_health/healthy_eating.html [accessed 2016-01-25]
Ambeba EJ, Ye L, Sereika SM, Styn MA, Acharya SD, Sevick MA, et al. The use of mHealth to deliver tailored messages reduces reported energy and fat intake. J Cardiovasc Nurs 2015;30(1):35-43.
Springvloet L, Lechner L, de VH, Candel Math J J M, Oenema A. Short- and medium-term efficacy of a Web-based computer-tailored nutrition education intervention for adults including cognitive and environmental feedback: randomized controlled trial. J Med Internet Res 2015;17(1):e23
Capacci S, Mazzocchi M, Shankar B, Macias JB, Verbeke W, Pérez-Cueto Federico J A, et al. Policies to promote healthy eating in Europe: a structured review of policies and their effectiveness. Nutr Rev 2012 Mar;70(3):188-200.
Maes L, Cook TL, Ottovaere C, Matthijs C, Moreno LA, Kersting M, et al. Pilot evaluation of the HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence) Food-O-Meter, a computer-tailored nutrition advice for adolescents: a study in six European cities. Public Health Nutr 2011 Jul;14(7):1292-1302.
Kerr DA, Pollard CM, Howat P, Delp EJ, Pickering M, Kerr KR, et al. Connecting Health and Technology (CHAT): protocol of a randomized controlled trial to improve nutrition behaviours using mobile devices and tailored text messaging in young adults. BMC Public Health 2012;12:477
Robroek Suzan J W, Bredt FJ, Burdorf A. The (cost-)effectiveness of an individually tailored long-term worksite health promotion programme on physical activity and nutrition: design of a pragmatic cluster randomised controlled trial. BMC Public Health 2007;7:259
Smeets T, Kremers S P J, Brug J, de VH. Effects of tailored feedback on multiple health behaviors. Ann Behav Med 2007 Apr;33(2):117-123.
Raats MM, Sparks P, Geekie MA, Shepherd R. The effects of providing personalized dietary feedback. A semi-computerized approach. Patient Educ Couns 1999 Jun;37(2):177-189.
Oenema A, Brug J. Feedback strategies to raise awareness of personal dietary intake: results of a randomized controlled trial. Prev Med 2003 Apr;36(4):429-439.
Brown IJ, Tzoulaki I, Candeias V, Elliott P. Salt intakes around the world: implications for public health. Int J Epidemiol 2009 Jun;38(3):791-813
Linseisen J, Welch AA, Ocké M, Amiano P, Agnoli C, Ferrari P, van der Schouw Y T, et al. Dietary fat intake in the European Prospective Investigation into Cancer and Nutrition: results from the 24-h dietary recalls. Eur J Clin Nutr 2009 Nov;63 Suppl 4:S61-S80.
King AC, Hekler EB, Castro CM, Buman MP, Marcus BH, Friedman RH, et al. Exercise advice by humans versus computers: maintenance effects at 18 months. Health Psychol 2014 Feb;33(2):192-196.
Emerencia A, van der Krieke Lian, Sytema S, Petkov N, Aiello M. Generating personalized advice for schizophrenia patients. Artif Intell Med 2013 May;58(1):23-36.
Meier CA, Fitzgerald MC, Smith JM. eHealth: extending, enhancing, and evolving health care. Annu Rev Biomed Eng 2013;15:359-382.
Weinstein RS, Lopez AM, Joseph BA, Erps KA, Holcomb M, Barker GP, et al. Telemedicine, telehealth, and mobile health applications that work: opportunities and barriers. Am J Med 2014 Mar;127(3):183-187.
Clifton L, Clifton DA, Pimentel Marco A F, Watkinson PJ, Tarassenko L. Gaussian processes for personalized e-health monitoring with wearable sensors. IEEE Trans Biomed Eng 2013 Jan;60(1):193-197. University Staff: Request a correction | Centaur Editors: Update this record |
Lists
Lists
