| Grant number: | 16/13168-5 |
| Support Opportunities: | Scholarships in Brazil - Doctorate |
| Start date: | March 01, 2017 |
| End date: | August 31, 2019 |
| Field of knowledge: | Health Sciences - Nutrition - Nutritional Analysis of Population |
| Principal Investigator: | Carlos Augusto Monteiro |
| Grantee: | Priscila Pereira Machado |
| Host Institution: | Faculdade de Saúde Pública (FSP). Universidade de São Paulo (USP). São Paulo , SP, Brazil |
| Associated research grant: | 15/14900-9 - Consumption of ultra-processed foods, dietary nutrient profile diet and obesity in seven countries, AP.TEM |
| Associated scholarship(s): | 17/24601-4 - Consumption of ultra-processed foods and obesity in Australian population, BE.EP.DR |
Abstract This project is part of the thematic project "Consumption of ultra-processed foods, dietary nutrient profile and obesity in seven countries". The objective is to describe the pattern of consumption of ultra-processed foods in Australia and to analyze its influence on the dietary nutrient profile and the risk of obesity. The data source is the National Nutrition and Physical Activity Survey (NNPAS), conducted in 2011-12. This survey studied a random sample of the Australian population aged 2 years and over (n=12.153), obtained by using a complex, stratified, multistage probability cluster sampling design based on the selection of strata, households and the number of people within households. Food consumption data were collected through two 24-h recalls. Food items will be classified as ultra-processed when they refer to industrial formulations with substances not commonly used in culinary preparations. The ultra-processed food consumption will be described based on the average contribution to the total energy intake of the Australian population and according to sex, age, educational attainment, ethnicity/descent, family income, regions and urban or rural settings socio-demographic strata. Generalized linear models adjusted by socio-demographic variables will be used to evaluate the impact of the ultra-processed food consumption on dietary nutrient profile indicators. These indicators include dietary content of macro and micronutrients considered critical in the Australian diet and dietary patterns derived by principal component analysis applied on the dietary content of these macro and micronutrients. Weight and height data of respondents, measured during the interview, will be used to calculate the Body Mass Index and for diagnosing obesity (BMI >= 30 kg/m2). Generalized linear models will also be used to study the association between the ultra-processed food consumption and obesity status. These models will be adjusted for socio-demographic variables and other potential confounding factors, such as physical activity, and will consider the effect of mediating variables related to the nutrient profile of the diet. | |
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