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Universidade Estadual de Campinas. Cross-sectional study of a random sample of 40 undergraduate students at the Unifesp - Campus Baixada Santista of both sexes and aged years. Another limitation of the present study is related to the fact that the sample was mainly composed of females, which suggests a possible selection bias. Furthermore, one must consider that the effect of exposure to successive employment of the methods, common in comparative assessments, can mask recall bias that is usually observed in retrospective methods 4 , 7 , Dietetic variables analyzed and compared by the 2 methods were:

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Evaluation of a mobile application for estimation of food intake

However, although there were differences between the two methods, there were no significant quantitative differences since the increase or the under-report of intake was similar in both methods. The 24hr is the most nutrbaem used method for quantitative assessment of the intake of energy and nutrients. The present study compared the energy and nutrient intake data among university adults estimated by the 24hr method with the data obtained using the Nutrabem app to estimate the agreement between these methods.

Energy and the macronutrients were assessed to determine the sensitivity of the method proposed to variables that are important in dietary assessment.

There were moderate correlations between the values of lipids, iron, calcium, and vitamin C 0. USDA; [cited 20 Fev ].

Arq Bras Endocrinol Metab. Therefore, when the food information added was wrong, the users of these devices were asked to point out these foods when sending their dietary intake information to the researcher. The method was applied using the Multiple-Pass Method How to cite this article. Chances of increasing youth health awareness through mobile wellness applications. J Am Diet Assoc. Further investigations are needed to identify limitations related to the correlations found between the food groups and to allow extrapolating the results to other populations.

How food decisions are shaped by biology, economics, geography, and social interactions.

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There have been significant changes in the food intake assessment in terms of data collection and analysis due to the advances in mobile technology, reducing the appp of these tasks 7.

Means and Standard Deviation SD of energy and nutrient intake of university students and assessment of agreement between dietary intakes estimated by the hour dietary recall 24hr and the Nutrabem app.

Diet quality index for healthy food choices. Vegetables and leafy greens, nuts, and vegetable oils showed weak correlations 0. At the end of each day, user sends the data added to the app to the researcher by e-mail from the mobile app. Strong correlations were observed for the groups: The user then checks the Nutrabem app household measures list and enters the amount of each food or drink consumed.

However, this limitation cannot be characterized as a unique limitation of the object of our study of this study because even during the interview with a previously trained interviewer 24hr there may be misunderstanding during information collection 22 - The authors reported dietary intake data obtained by the 24hr method and nutrabrm a web-based dietary recording.

The groups of legumes, whole grains, nuts, and vegetable oils and the Diet Quality Index - GAD scores were not assessed by the authors.

Among its benefits are the reduction of interviewer bias and the reduction of time and cost of data collection. It is suggested that the quality of the assessment carried out by digital instruments may reduce as a function nutrabek age and improve as a function of level of education and computer knowledge of the participants Data were collected over three days with a time intervalincluding 1 weekend day, using the two methods to estimate the usual intake of each subject calculating the average of these results.

Over the past few years, several Internet and mobile telephony applications have been developed to promote self-care aiming at motivating users to adopt a healthy lifestyle.

Further investigations should assess the performance of this tool for the general population. This information accounts for only 2. Web-based survey attracted age-biased sample with more severe illness than paper-based survey.

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This problem has already been solved by the manufacturer. Services on Demand Untrabem. Additionally, the correlation between the mean values of the portion sizes of food groups consumed poultry, fish, and eggs; beef and pork; refined grains and breads; fruits and legumes; sugars and sweets, whole grains, tubers and roots; milk and dairy products; animal fats; vegetables and leafy greens; nuts; and vegetable oils and the Diet Quality Index GAD 6 scores obtained by both methods were assessed.

Need for technological innovation in dietary assessment.