My Meal Mate (MMM): Validation of the diet measures captured on a smartphone application to facilitate weight loss

British Journal of Nutrition

Volumn 109, Issue 3, 2013, Pages 539-546

  Carter, Michelle C ^a   Burley, V J ^a   Nykjaer, C ^a   Cade, J E ^a  

^a UNIVERSITY OF LEEDS   (United Kingdom)

Author keywords

Dietary assessment; Dietary surveys; Smartphone applications; Validation

Indexed keywords

ACCURACY; ARTICLE; CALORIC INTAKE; CARBOHYDRATE INTAKE; COMPARATIVE STUDY; FAT INTAKE; FEMALE; FLUID INTAKE; FOOD INTAKE; HUMAN; MACRONUTRIENT; MALE; MY MEAL MATE; NUTRITIONAL ASSESSMENT; PROTEIN INTAKE; TELECONSULTATION; VALIDITY; WEIGHT REDUCTION;

ADULT; BODY MASS INDEX; CELLULAR PHONE; DIET RECORDS; DIET, REDUCING; ENERGY INTAKE; ENGLAND; FEMALE; HUMANS; HYPERPHAGIA; INDIVIDUALIZED MEDICINE; MALE; MEALS; MENTAL RECALL; MOTIVATION; NUTRITION ASSESSMENT; PATIENT COMPLIANCE; PATIENT EDUCATION AS TOPIC; PORTION SIZE; REPRODUCIBILITY OF RESULTS; WEIGHT LOSS;

EID: 84885725343     PISSN: 00071145     EISSN: 14752662     Source Type: Journal    
DOI: 10.1017/S0007114512001353     Document Type: Article

References (27)

1. Buzzard M (1998) 24-Hour dietary recall and food record methods. In Nutritional Epidemiology, pp. 50-73 [W Willett, editor]. Oxford: Oxford University Press.
2. Bingham SA (1987) The dietary assessment of individuals; methods, accuracy, new techniques and recommendations. Nutr Abstr Rev 57A, 705-742.
3. MacIntyre U (2007) Measuring food intake. In Introduction to Human Nutrition, 1st ed., pp. 238-275 [MJ Gibney, HH Vorster and FJ Kok, editors]. Oxford: Blackwell Publishing.
4. Barrett-Connor E (1991) Nutrition epidemiology: how do we know what they ate? Am J Clin Nutr 54, 182S-187S.
5. Black AE, Prentice AM, Goldberg GR, et al. (1993) Measurements of total energy expenditure provide insights into the validity of dietary measurements of energy intake. J Am Diet Assoc 93, 572-579. (Pubitemid 23137925)
6. Rebro SM, Patterson RE, Kristal AR, et al. (1998) The effect of keeping food records on eating patterns. J Am Diet Assoc 98, 1163-1165.
7. Ngo J, Engelen A, Mo lag M, et al. (2009) A review of the use of information and communication technologies for dietary assessment. Br J Nutr 101, SUPPL.. 2, S102-S112.
8. Touvier M, Kesse-Guyot E, Mejean C, et al . (2011) Comparison between an interactive web-based self-administered 24 h dietary record and an interview by a dietitian for large-scale epidemiological studies. Br J Nutr 105, 1055-1064.
9. Arab L, Wessel ing-Perry K, Jardack P, et al. (2010) Eight selfadministered 24-hour dietary recalls using the Internet are feasible in African Americans and Whites: The energetics study. J Am Diet Assoc 110, 857-864.
10. Zoellner J, Anderson J & Gould SM (2005) Comparative validation of a bilingual interactive multimedia dietary assessment tool. J Am Diet Assoc 105, 1206-1214. (Pubitemid 41058834)
11. Slattery ML, Murtaugh MA, Schumacher MC, et al. (2008) Development, implementation, and evaluation of a computerized self-administered diet history questionnaire for use in studies of American Indian and Alaskan native people. J Am Diet Assoc 108, 101-109. (Pubitemid 350296012)
12. Beasley J, Riley W & Jeanmary J (2005) Accuracy of a PDAbased dietary assessment program. Nutrition 21, 672-677. (Pubitemid 40733560)
13. Yon BA, Johnson RK, Harvey-Berino J, et al. (2007) The use of a personal digital assistant for dietary self-monitoring does not improve the validity of self-reports of energy intake. J Am Diet Assoc 106, 1256-1259. (Pubitemid 44079963)
14. Kikunaga S, Tin T, Ishibashi G, et al. (2007) The application of a handheld personal digital assistant with camera and mobile phone card (Wellnavi) to the general population in a dietary survey. J Nutr Sci Vita minol (Tokyo) 53, 109-116. (Pubitemid 46933019)
15. Wang DH, Kogashiwa M & Kira S (2006) Development of a new instrument for evaluating individuals? dietary intakes. J Am Diet Assoc 106, 1588-1593. (Pubitemid 44415587)
16. Boushey CJ, Kerr DA, Wright J, et al. (2009) Use of technology in children? s dietary assessment. Eur J Clin Nutr 63, S50-S57.
17. Martin CK, Han H, Coulon SM, et al. (2009) A novel method to remotely measure food intake of free-living individuals in real time: The remote food photography method. Br J Nutr 101, 446-456.
18. Lambert N, Plumb J, Looise B, et al. (2005) Using smart card technology to monitor the eating habits of children in a school cafeteria: The nutritional significance of beverage and dessert choices. J Hum Nutr Diet 18, 271-279. (Pubitemid 41030534)
19. Weight Loss Resources (online): http://www.weightloss resources.co.uk (accessed 25 October 2010).
20. USDA Agricultural Research Service: http://www.ars.usda. gov/Main/site-main.htm?modecode?12-35-50-00
21. Nelson MAM & Meyer J (1997) A Photographic Atlas of Food Portion Sizes. London: MAFF Publications.
22. StataCorp (2009) Statistical Software: Release College Station, TX: Stata Corporation.
23. Bland JM & Atlman DG (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet i, 307-310. (Pubitemid 16134762)
24. Fukuo W, Yoshiuchi K, Ohashi K, et al. (2009) Development of a hand-held personal digital assistant-based food diary with food photographs for Japanese subjects. J Am Diet Assoc 109, 1232-1236.
25. Beasley JM, Riley WT, Davis A & Singh J (2008) Evaluation of a PDA-based dietary assessment and intervention program: A randomized controlled trial. J Am Coll Nutr 27, 280-286.
26. Gersovitz M, Madden JP & Smiciklas-Wright H (1978) Validity of the 24-hr dietary recall and seven-day record for group comparisons. J Am Diet Assoc 73, 48-55.
27. OFCOM. The Communications Market 2010 (August). http://stakeholders. ofcom.org.uk/market-data-research/marketdata/communications-market-reports/cmr10