‘My Meal Mate’ (MMM): validation of the diet measures captured on a smartphone application to facilitate weight loss
Open accessAbstract
Accurate dietary assessment is an essential foundation of research in nutritional epidemiology. Due to the weaknesses in current methodology, attention is turning to strategies that automate the dietary assessment process to improve accuracy and reduce the costs and burden to participants and researchers. ‘My Meal Mate’ (MMM) is a smartphone application designed to support weight loss. The present study aimed to validate the diet measures recorded on MMM against a reference measure of 24 h dietary recalls. A sample of fifty volunteers recorded their food and drink intake on MMM for 7 d. During this period, they were contacted twice at random to conduct 24 h telephone recalls. Daily totals for energy (kJ) and macronutrients recorded on MMM were compared against the corresponding day of recall using t tests for group means and Pearson's correlations. Bland–Altman analysis was used to assess the agreement between the methods. Energy (kJ) recorded on MMM correlated well with the recalls (day 1:r 0·77 (95 % CI 0·62, 0·86), day 2:r 0·85 (95 % CI 0·74, 0·91)) and had a small mean difference (day 1 (MMM − recall): − 68 kJ/d (95 % CI − 553, 418 kJ) ( − 16 kcal/d, 95 % CI − 127, 100 kcal); day 2 (MMM − recall): − 441 kJ/d (95 % CI − 854, − 29 kJ) ( − 105 kcal/d, 95 % CI − 204, − 7 kcal)). Bland–Altman analysis showed wide limits of agreement between the methods: − 3378 to 3243 kJ/d ( − 807 to 775 kcal/d) on day 1. At the individual level, the limits of agreement between MMM and the 24 h recall were wide; however, at the group level, MMM appears to have potential as a dietary assessment tool.
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The diet measures captured on MMM have been found to correlate well with a reference measure of diet.
“The diet measures captured on MMM have been found to correlate well with a reference measure of diet [24].”
From Adherence to a Smartphone Application for Weight Loss Compared to Website and Paper Diary: Pilot Randomized Controlled Trial (2013) · cites this paper as [24]
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STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
Martin Bland, J., & Altman, D. (1986) · The Lancet · doi:10.1016/s0140-6736(86)90837-8 · Cited by 47,965 · see citing works
Willett, W. C. (1998) · doi:10.1093/acprof:oso/9780195122978.001.0001 · Cited by 4,541 · see citing works
Validity of the 24-hr. dietary recall and seven-day record for group comparisons
Gersovitz, M., Madden, J. P., & SMIClKLAS-WRIGHT, H. (1978) · Journal of the American Dietetic Association · doi:10.1016/s0002-8223(21)05669-8 · Cited by 447 · see citing works
BLACK, A. E., Prentice, A. M., Goldberg, G. R., Jebb, S. A., Bingham, S. A., Livingstone, M. B. E., & Coward, A. (1993) · Journal of the American Dietetic Association · doi:10.1016/0002-8223(93)91820-g · Cited by 414 · see citing works
Martin, C. K., Han, H., Coulon, S. M., Allen, H. R., Champagne, C. M., & Anton, S. D. (2008) · British Journal Of Nutrition · doi:10.1017/s0007114508027438 · Cited by 330 · see citing works
Touvier, M., Kesse‐Guyot, E., Méjean, C., Pollet, C., Malon, A., Castetbon, K., & Herçberg, S. (2010) · British Journal Of Nutrition · doi:10.1017/s0007114510004617 · Cited by 304 · see citing works
24-Hour Dietary Recall and Food Record Methods
Willett, W. C. (1998) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195122978.003.04 · Cited by 268 · see citing works
Use of technology in children’s dietary assessment
Boushey, C. J., Kerr, D. A., Wright, J., Lutes, K. D., Ebert, D. S., & Delp, E. J. (2009) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2008.65 · Cited by 231 · see citing works
Nutrition epidemiology: how do we know what they ate?
Barrett-Connor, E. L. (1991) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/54.1.182s · Cited by 192 · see citing works
A review of the use of information and communication technologies for dietary assessment
Ngo, J., Engelen, A., Molag, M., Roesle, J., García-Segovia, P., & Serra-Majem, L. (2009) · British Journal of Nutrition · doi:10.1017/s0007114509990638 · Cited by 179 · see citing works
Nutrition epidemiology : how do we know what they ate?
Elizabeth, B. (1991) · American Journal of Clinical Nutrition · Cited by 160 · see citing works
Development of a New Instrument for Evaluating Individuals’ Dietary Intakes
Wang, D.-H., Kogashiwa, M., & Kira, S. (2006) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2006.07.004 · Cited by 141 · see citing works
The Effect of Keeping Food Records on Eating Patterns
REBRO, S. M., PATTERSON, R. E., KRISTAL, A. R., & CHENEY, C. L. (1998) · Journal of the American Dietetic Association · doi:10.1016/s0002-8223(98)00269-7 · Cited by 141 · see citing works
Accuracy of a PDA-based dietary assessment program
Beasley, J., Riley, W. T., & Jean-Mary, J. (2005) · Nutrition · doi:10.1016/j.nut.2004.11.006 · Cited by 124 · see citing works
Arab, L., Wesseling-Perry, K., Jardack, P. M., Henry, J. P., & Winter, A. (2010) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2010.03.024 · Cited by 118 · see citing works
Kikunaga, S., Tomoe, T. I. N., Ishibashi, G., Wang, D., & Kira, S. (2007) · Journal of Nutritional Science and Vitaminology · doi:10.3177/jnsv.53.109 · Cited by 111 · see citing works
Evaluation of a PDA-based dietary assessment and intervention program: a randomized controlled trial
Beasley, J. M., Riley, W. T., Davis, A., & Singh, J. (2008) · Journal of the American College of Nutrition · doi:10.1080/07315724.2008.10719701 · Cited by 99 · see citing works
Yon, B. A., Johnson, R. K., Harvey‐Berino, J., & Gold, B. C. (2006) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2006.05.004 · Cited by 89 · see citing works
Fukuo, W., Yoshiuchi, K., Ohashi, K., Togashi, H., Sekine, R., Kikuchi, H., Sakamoto, N., Inada, S., Sato, F., Kadowaki, T., et al. (2009) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2009.04.013 · Cited by 44 · see citing works
Comparative Validation of a Bilingual Interactive Multimedia Dietary Assessment Tool
Zoellner, J., Anderson, J. E., & Gould, S. M. (2005) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2005.05.011 · Cited by 44 · see citing works
Rutishauser, I. H. E., & BLACK, A. E. (2002) · Cited by 33 · see citing works
Slattery, M. L., Murtaugh, M. A., Schumacher, M. C., Johnson, J. S., Edwards, S. L., Edwards, R. P., Benson, J. E., Tom-Orme, L., & Lanier, A. P. (2007) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2007.10.008 · Cited by 33 · see citing works
Lambert, N., Plumb, J. A., Looise, B., Johnson, I. T., Harvey, I. M., Wheeler, C., Robinson, M., & Rolfe, P. (2005) · Journal of Human Nutrition and Dietetics · doi:10.1111/j.1365-277x.2005.00619.x · Cited by 21 · see citing works
Introduction to Human Nutrition
Lowe, N. M. (2007) · Maternal and Child Nutrition · doi:10.1111/j.1740-8709.2007.00073.x · Cited by 3 · see citing works
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- British Journal of Nutrition https://doi.org/10.1017/S0007114512001353 Published online by Cambridge University Press References
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Carter, M. C., Burley, V. J., Nykjaer, C., & Cade, J. E. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2283 · Cited by 666 · see citing works
Self-citationGibson, A., & Sainsbury, A. (2017) · Behavioral Sciences · doi:10.3390/bs7030044 · Cited by 181 · see citing works
Dute, D. J., Bemelmans, W. J. E., & Breda, J. (2016) · JMIR mhealth and uhealth · doi:10.2196/mhealth.3559 · Cited by 142 · see citing works
Baum Martinez, I., Peters, B., Schwarz, J., Schuppelius, B., Steckhan, N., Koppold-Liebscher, D. A., Michalsen, A., & Pivovarova-Ramich, O. (2022) · Nutrients · doi:10.3390/nu14183697 · Cited by 19 · see citing works
Patient-Generated Health Photos and Videos Across Health and Well-being Contexts: Scoping Review
Ploderer, B., Rezaei Aghdam, A., & Burns, K. (2022) · Journal of Medical Internet Research · doi:10.2196/28867 · Cited by 18 · see citing works
- Authors
- Carter, M. C., Burley, V. J., Nykjaer, C., & Cade, J. E.
- Affiliations
- University of Leeds (GB)
- Corresponding author
- Carter, Michelle C.
- Venue
- British Journal of Nutrition
- Publisher
- Cambridge University Press (CUP)
- Published
- 2012-05-03
- Volume
- 109
- Issue
- 3
- Pages
- 539-546
- ISSN
- 0007-1145 (ISSN-L)
- 1475-2662
- OpenAlex
- W2110274521
- Cited by
- 144
- References
- 24
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 6 · 2023: 8 · 2022: 17 · 2021: 13 · 2020: 11 · 2019: 11 · 2018: 16 · 2017: 16 · 2016: 9 · 2015: 13 · 2014: 9 · 2013: 5
- FWCI
- 15.33
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- British Journal Of Nutrition (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
- Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
- Keywords
- mobile application, dietary assessment, 24-hour dietary recall, validation, energy intake, macronutrients, weight loss, dietary intake
- MeSH terms
- Adult, Energy Intake, Diet, Reducing, England, Female, Humans, Hyperphagia, Male, Motivation, Patient Compliance, Patient Education as Topic, Mental Recall, Reproducibility of Results, Weight Loss, Nutrition Assessment, Diet Records, Body Mass Index, Cell Phone, Precision Medicine, Meals, Portion Size
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