Evaluation of the Ability of Diet-Tracking Mobile Applications to Estimate Energy and Nutrient Intake in Japan

We evaluated the energy and nutrient intake estimates of popular Japanese diet-tracking mobile applications (apps). We identified five diet-tracking apps in the iTunes store during August 2020. A researcher entered the dietary data from a one-day paper-based dietary record (DR) previously obtained f...

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Published inNutrients Vol. 12; no. 11; p. 3327
Main Authors Shinozaki, Nana, Murakami, Kentaro
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 29.10.2020
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Abstract We evaluated the energy and nutrient intake estimates of popular Japanese diet-tracking mobile applications (apps). We identified five diet-tracking apps in the iTunes store during August 2020. A researcher entered the dietary data from a one-day paper-based dietary record (DR) previously obtained from apparently healthy free-living adults (15 males and 15 females; 22-65 years) into each app. The energy and nutrient intakes estimated by the apps were compared with those calculated using the Standard Tables of Food Composition in Japan based on the paper-based DR (reference method). The number of dietary variables available ranged from one (energy in Mogutan) to 17 (FiNC). Compared to the DR-based estimates, the median energy intake was significantly overestimated by MyFitnessPal, Asken, Calomiru, and Mogutan. Moreover, the intakes of many nutrients were overestimated by Asken and Calomiru and underestimated by MyFitnessPal. For energy intake, the Spearman correlation coefficient between the DR and the apps was lowest for Mogutan (0.76) and highest for FiNC (0.96). The median correlation coefficient for nutrient intakes was lower in MyFitnessPal (0.50) than in the other three apps (0.80 in Asken, 0.87 in FiNC, and 0.88 in Calomiru). These results suggest that intake calculations differ among apps. Further evaluation is needed in free-living settings, where users input their own food intake.
AbstractList We evaluated the energy and nutrient intake estimates of popular Japanese diet-tracking mobile applications (apps). We identified five diet-tracking apps in the iTunes store during August 2020. A researcher entered the dietary data from a one-day paper-based dietary record (DR) previously obtained from apparently healthy free-living adults (15 males and 15 females; 22–65 years) into each app. The energy and nutrient intakes estimated by the apps were compared with those calculated using the Standard Tables of Food Composition in Japan based on the paper-based DR (reference method). The number of dietary variables available ranged from one (energy in Mogutan) to 17 (FiNC). Compared to the DR-based estimates, the median energy intake was significantly overestimated by MyFitnessPal, Asken, Calomiru, and Mogutan. Moreover, the intakes of many nutrients were overestimated by Asken and Calomiru and underestimated by MyFitnessPal. For energy intake, the Spearman correlation coefficient between the DR and the apps was lowest for Mogutan (0.76) and highest for FiNC (0.96). The median correlation coefficient for nutrient intakes was lower in MyFitnessPal (0.50) than in the other three apps (0.80 in Asken, 0.87 in FiNC, and 0.88 in Calomiru). These results suggest that intake calculations differ among apps. Further evaluation is needed in free-living settings, where users input their own food intake.
Author Shinozaki, Nana
Murakami, Kentaro
AuthorAffiliation Department of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan; nana-s@m.u-tokyo.ac.jp
AuthorAffiliation_xml – name: Department of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan; nana-s@m.u-tokyo.ac.jp
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Issue 11
Keywords Japan
mobile phone
smart phone
dietary assessment
food composition database
dietary record
portion size
Language English
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Snippet We evaluated the energy and nutrient intake estimates of popular Japanese diet-tracking mobile applications (apps). We identified five diet-tracking apps in...
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StartPage 3327
SubjectTerms Accuracy
Adult
Aged
Applications programs
Cellular telephones
Correlation coefficient
Correlation coefficients
Diet
Diet - statistics & numerical data
Diet Records
dietary assessment
dietary record
Dietitians
Digital audio players
Direct reduction
Energy
Energy Intake
Female
Food
Food Analysis - methods
Food composition
food composition database
Food intake
Humans
Japan
Male
Middle Aged
Mobile Applications - statistics & numerical data
mobile phone
Nutrients
Nutrients - analysis
Nutrition Assessment
Nutrition research
Nutritive Value
portion size
Reproducibility of Results
smart phone
Social research
Validation studies
Validity
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Title Evaluation of the Ability of Diet-Tracking Mobile Applications to Estimate Energy and Nutrient Intake in Japan
URI https://www.ncbi.nlm.nih.gov/pubmed/33138088
https://www.proquest.com/docview/2535417604/abstract/
https://pubmed.ncbi.nlm.nih.gov/PMC7694045
https://doaj.org/article/98ebb5311c954f4ab127bab307e937e6
Volume 12
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