Ultraprocessed Food Consumption and incidence of diabetes in the English populatio...
| Grant number: | 19/24124-7 |
| Support type: | Scholarships in Brazil - Doctorate |
| Effective date (Start): | April 01, 2020 |
| Effective date (End): | March 31, 2024 |
| Field of knowledge: | Health Sciences - Collective Health - Epidemiology |
| Cooperation agreement: | Coordination of Improvement of Higher Education Personnel (CAPES) |
| Principal Investigator: | Carlos Augusto Monteiro |
| Grantee: | André de Oliveira Werneck |
| Home 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 |
Abstract The aim of this study will be to analyze the prospective association between ultra-processed food consumption and depressive symptoms with emphasis in the co-occurrence with physical inactivity. This project will use data from the 1982 Pelotas birth cohort (n=5,914 during the baseline), using the 2004 and 2012 time points, when cohort participants were 22 and 30 years old respectively. Data concerning ultra-processed food consumption, physical activity and depressive symptoms were assessed through presential interview. Moreover, age, sex, educational status, occupational status, physical limitations, alcohol use and tobacco, which were assessed through presential interviews, as well as body mass index, through measures of body mass and stature will be adopted as covariates. Logistic regressions will be used for data analysis, adopting categories of ultra-processed food contribution on diet and physical activity level at 2004 as exposure and presence of depressive symptoms at 2012 as outcome. All analyses will be adjusted for age, sex, educational status, occupational status, body mass index, physical limitations, alcohol use and tobacco use. Analyses will be conducted using the Stata 15.1 software, adopting p < 0.05 as significance level for association analyses. (AU) | |