Validation of nutrient intake of smartphone application through comparison of photographs before and after meals

Hyejin Lee, Eunbin Kim, Su Hyeon Kim, Haeun Lim, Yeong Mi Park, Joon Ho Kang, Heewon Kim, Jinho Kim, Woong Yang Park, Seongjin Park, Jinki Kim, Yoon Jung Yang

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Purpose: This study was conducted to evaluate the validity of the Gene-Health application in terms of estimating energy and macronutrients. Methods: The subjects were 98 health adults participating in a weight-control intervention study. They recorded their diets in the Gene-Health application, took photographs before and after every meal on the same day, and uploaded them to the Gene-Health application. The amounts of foods and drinks consumed were estimated based on the photographs by trained experts, and the nutrient intakes were calculated using the CAN-Pro 5.0 program, which was named 'Photo Estimation'. The energy and macronutrients estimated from the Gene-Health application were compared with those from a Photo Estimation. The mean differences in energy and macronutrient intakes between the two methods were compared using paired t-Test. Results: The mean energy intakes of Gene-Health and Photo Estimation were 1,937.0 kcal and 1,928.3 kcal, respectively. There were no significant differences in intakes of energy, carbohydrate, fat, and energy from fat (%) between two methods. The protein intake and energy from protein (%) of the Gene-Health were higher than those from the Photo Estimation. The energy from carbohydrate (%) for the Photo Estimation was higher than that of the Gene-Health. The Pearson correlation coefficients, weighted Kappa coefficients, and adjacent agreements for energy and macronutrient intakes between the two methods ranged from 0.382 to 0.607, 0.588 to 0.649, and 79.6% to 86.7%, respectively. Conclusion: The Gene-Health application shows acceptable validity as a dietary intake assessment tool for energy and macronutrients. Further studies with female subjects and various age groups will be needed.

Original languageEnglish
Pages (from-to)319-328
Number of pages10
JournalJournal of Nutrition and Health
Volume53
Issue number3
DOIs
StatePublished - Jun 2020
Externally publishedYes

Keywords

  • Mobile Application
  • Nutrition Assessment
  • Smart Phone
  • Validation Study

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