Topical Area: Nutrition Education and Behavioral Science
Objectives : The purpose of this study was to develop a free application to the whole population to access overall nutritional status in adults and older people from four indicators based on direct anthropometric measurements (height, weight, waist and hip circumferences).
Methods : The application was developed using the MIT App Inventor, a block-based mobile application development tool, so it is available to mobile in Android system only. The application shows measurements protocols of height, weight and waist and hip circumferences (Lohman (1988), and World Health Organization (WHO) (2011)). In the application, standard deviation classification system (z-score) for adults under 20 years of age is calculated and it is classified using the values of smooth curves (L), mean (M) and coefficient of variation (S) according to WHO (2007). For adults, Body Mass Index (BMI) is calculated according to the Quételet formula (1839) and it is classified according to the WHO (1997) for people from 20 until 59 years old, and according to the Pan American Health Organization (PAHO) (2002) for older people. The Body Adiposity Index (BAI) is calculated using the formula of Bergman et al., (2011) and the percentage of body fat is classified according to Gallagher et al., (2000). The application shows the individual epidemiological classification of each anthropometric variables and also it shows the nutritional status through of combinatorial analysis that results in 134 possibilities.
The free NUTRICARE application provides 4 individual indicators and an overall nutritional status. At phase test, the apk file was sent to 120 people, included Nutritionists, who agreed to test it. They’ve returned positive feedback reporting that application can be used by the whole population because it is simple to use and free.
In conclusion, the NUTRICARE application can be used to assess nutritional status of populations because it provided a result using simple measurements and four combined indicators to achieve more accuracy. We recommend further studies to validate its use in epidemiological studies.
Funding Sources : Laboratory of Nutritional Assessment of Populations (LANPOP)
Programa Unificado de Bolsas (PUB) - University of São Paulo scholarship program.