Development of a UK Online 24-h Dietary Assessment Tool: myfood24

Assessment of diet in large epidemiological studies can be costly and time consuming. An automated dietary assessment system could potentially reduce researcher burden by automatically coding food records. myfood24 (Measure Your Food on One Day) an online 24-h dietary assessment tool (with the flexibility to be used for multiple 24 h-dietary recalls or as a food diary), has been developed for use in the UK population. Development of myfood24 was a multi-stage process. Focus groups conducted with three age groups, adolescents (11–18 years) (n = 28), adults (19–64 years) (n = 24) and older adults (≥65 years) (n = 5) informed the development of the tool, and usability testing was conducted with beta (adolescents n = 14, adults n = 8, older adults n = 1) and live (adolescents n = 70, adults n = 20, older adults n = 4) versions. Median system usability scale (SUS) scores (measured on a scale of 0–100) in adolescents and adults were marginal for the beta version (adolescents median SUS = 66, interquartile range (IQR) = 20; adults median SUS = 68, IQR = 40) and good for the live version (adolescents median SUS = 73, IQR = 22; adults median SUS = 80, IQR = 25). Myfood24 is the first online 24-h dietary recall tool for use with different age groups in the UK. Usability testing indicates that myfood24 is suitable for use in UK adolescents and adults.

[1]  Kyle R. Lynch,et al.  Development of a Weighted Heuristic for Website Evaluation for Older Adults , 2013, Int. J. Hum. Comput. Interact..

[2]  J. Ostroff,et al.  Development and Alpha Testing of QuitIT: An Interactive Video Game to Enhance Skills for Coping With Smoking Urges , 2013, JMIR research protocols.

[3]  N. Day,et al.  Are imprecise methods obscuring a relation between fat and breast cancer? , 2003, The Lancet.

[4]  P. Wark,et al.  PP38 Development of a new UK food composition database , 2014, Journal of Epidemiology and Community Health.

[5]  Jakob Nielsen,et al.  A mathematical model of the finding of usability problems , 1993, INTERCHI.

[6]  Jeanette Spear,et al.  The Airwave Health Monitoring Study of police officers and staff in Great Britain: rationale, design and methods. , 2014, Environmental research.

[7]  Zheng Yan.  What influences children's and adolescents' understanding of the complexity of the Internet? , 2006, Developmental psychology.

[8]  Robert A. Virzi.  Streamlining the Design Process: Running Fewer Subjects , 1990 .

[9]  C. Matthys,et al.  Young adolescents' nutrition assessment on computer (YANA-C) , 2005, European Journal of Clinical Nutrition.

[10]  R. Tapia,et al.  Technology-driven dietary assessment: a software developer's perspective. , 2014, Journal of human nutrition and dietetics : the official journal of the British Dietetic Association.

[11]  L. Arab,et al.  Validity of a multipass, web-based, 24-hour self-administered recall for assessment of total energy intake in blacks and whites. , 2011, American journal of epidemiology.

[12]  H. Moore,et al.  Technology-based dietary assessment: development of the Synchronised Nutrition and Activity Program (SNAP). , 2014, Journal of human nutrition and dietetics : the official journal of the British Dietetic Association.

[13]  Jean A.T. Pennington,et al.  McCance and widdowson's the composition of foods: 5th ed., edited by B. Holland, A. A. Welch, 1. D. Unwin, D. H. Buss, A. A. Paul, and D. A. T. Southgate. The Royal Society of Chemistry, Cambridge, 1991, 462 pp. $69.95 , 1992 .

[14]  Jennifer L. Crafts,et al.  Assessment of the accuracy of portion size reports using computer-based food photographs aids in the development of an automated self-administered 24-hour recall. , 2010, Journal of the American Dietetic Association.

[15]  T. Baranowski,et al.  The Automated Self-Administered 24-hour dietary recall (ASA24): a resource for researchers, clinicians, and educators from the National Cancer Institute. , 2012, Journal of the Academy of Nutrition and Dietetics.

[16]  Donald A. Norman,et al.  Emotion & design: attractive things work better , 2002, INTR.

[17]  Sally Robinson,et al.  National diet and nutrition survey: young people aged 4 to 18 years , 2001 .

[18]  A. Adamson,et al.  Reducing the cost of dietary assessment: self-completed recall and analysis of nutrition for use with children (SCRAN24). , 2014, Journal of human nutrition and dietetics : the official journal of the British Dietetic Association.

[19]  Joan M Conway,et al.  Effectiveness of the US Department of Agriculture 5-step multiple-pass method in assessing food intake in obese and nonobese women. , 2003, The American journal of clinical nutrition.

[20]  A. Paul,et al.  McCance and Widdowson's 'The composition of foods': dietary fibre in egg, meat and fish dishes. , 1979, Journal of human nutrition.

[21]  Elizabeth A Spencer,et al.  Development and evaluation of the Oxford WebQ, a low-cost, web-based method for assessment of previous 24 h dietary intakes in large-scale prospective studies , 2011, Public Health Nutrition.

[22]  J. B. Brooke,et al.  SUS: A 'Quick and Dirty' Usability Scale , 1996 .

[23]  Joost Dekker,et al.  The usability and preliminary effectiveness of a web-based physical activity intervention in patients with knee and/or hip osteoarthritis , 2013, BMC Medical Informatics and Decision Making.

[24]  D. Baer,et al.  The US Department of Agriculture Automated Multiple-Pass Method reduces bias in the collection of energy intakes. , 2008, The American journal of clinical nutrition.

[25]  Chris Janiszewski,et al.  The Influence of Avatars on Online Consumer Shopping Behavior , 2006 .

[26]  M. Touvier,et al.  Comparison between an interactive web-based self-administered 24 h dietary record and an interview by a dietitian for large-scale epidemiological studies , 2010, British Journal of Nutrition.

[27]  A. Schatzkin,et al.  Observational Epidemiologic Studies of Nutrition and Cancer: The Next Generation (with Better Observation) , 2009, Cancer Epidemiology Biomarkers & Prevention.

[28]  James T. Miller,et al.  An Empirical Evaluation of the System Usability Scale , 2008, Int. J. Hum. Comput. Interact..

[29]  Philip T. Kortum,et al.  Determining what individual SUS scores mean: adding an adjective rating scale , 2009 .

[30]  D. Greenwood,et al.  The UK Women's Cohort Study: comparison of vegetarians, fish-eaters and meat-eaters , 2004, Public Health Nutrition.

[31]  M. Carter,et al.  'My Meal Mate' (MMM): validation of the diet measures captured on a smartphone application to facilitate weight loss. , 2013, The British journal of nutrition.

[32]  D. Midthune,et al.  Using intake biomarkers to evaluate the extent of dietary misreporting in a large sample of adults: the OPEN study. , 2003, American journal of epidemiology.

[33]  Catherine Courage,et al.  Understanding Your Users: A Practical Guide to User Requirements Methods, Tools, and Techniques , 2005 .