An Interactive Internet-Based Plate for Assessing Lunchtime Food Intake: A Validation Study on Male Employees
Author(s) -
Madeleine Svensson,
Rino Bellocco,
Linda Bakkman,
Ylva Trolle Lagerros
Publication year - 2013
Publication title -
journal of medical internet research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.446
H-Index - 142
eISSN - 1439-4456
pISSN - 1438-8871
DOI - 10.2196/jmir.2217
Subject(s) - interquartile range , concordance , meal , food intake , medicine , food frequency questionnaire , body mass index , food choice , portion size , food group , environmental health , food science , biology , pathology
Background Misreporting food intake is common because most health screenings rely on self-reports. The more accurate methods (eg, weighing food) are costly, time consuming, and impractical. Objectives We developed a new instrument for reporting food intake—an Internet-based interactive virtual food plate. The objective of this study was to validate this instrument’s ability to assess lunch intake. Methods Participants were asked to compose an ordinary lunch meal using both a virtual and a real lunch plate (with real food on a real plate). The participants ate their real lunch meals on-site. Before and after pictures of the composed lunch meals were taken. Both meals included identical food items. Participants were randomized to start with either instrument. The 2 instruments were compared using correlation and concordance measures (total energy intake, nutritional components, quantity of food, and participant characteristics). Results A total of 55 men (median age: 45 years, median body mass index [BMI]: 25.8 kg/m 2 ) participated. We found an overall overestimation of reported median energy intake using the computer plate (3044 kJ, interquartile range [IQR] 1202 kJ) compared with the real lunch plate (2734 kJ, IQR 1051 kJ, P <.001). Spearman rank correlations and concordance correlations for energy intake and nutritional components ranged between 0.58 to 0.79 and 0.65 to 0.81, respectively. Conclusion Although it slightly overestimated, our computer plate provides promising results in assessing lunch intake.
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