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Breastfeeding and other early life events and its association with dietary patterns, body composition e cardiometabolic profile during adult life

Grant number: 17/13087-8
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): October 01, 2017
Effective date (End): October 16, 2019
Field of knowledge:Health Sciences - Medicine - Medical Clinics
Principal Investigator:Sandra Roberta Gouvea Ferreira Vivolo
Grantee:Ilana Eshriqui Oliveira
Home Institution: Faculdade de Saúde Pública (FSP). Universidade de São Paulo (USP). São Paulo , SP, Brazil
Associated scholarship(s):18/24278-1 - Breastfeeding and its long-term effect on Finnish youngster's oral microbiome, BE.EP.DR


Breastfeeding among other early life events seems to influence dietary habits and body composition through life course, which are associated with cardiometabolic risk. The association between duration of breastfeeding and Dietary Patterns (DP), defined by statistical models, and the relation of DP with visceral adipose tissue were not investigated in samples of healthy women in reproductive age. Reliable dietary data, such as those obtained from the Nutritionists' Health Study - NutriHS, are essential this study. Our hypothesis is that prolonged breastfeeding is associated with healthier DP in adult life and that both influence body composition and cardiometabolic profile. Aims: To verify if DP of young women are influenced by the fact of having been breastfed, and how both are associated with their body composition and cardiometabolic profile. It will be analyzed whether early life events would modify the relationship between DP and body composition. Methods: Cross-sectional analyses of NutriHS baseline data. Undergraduate students in nutrition or nutritionists aged e18 years with ability to deal with internet are eligible, excluding women older than 40 years or pregnant and men. Sociodemographic, lifestyle and early life events data are obtained by online questionnaires. Dietary intake will be estimated using a food frequency questionnaire. Clinical, laboratory (glucose and lipid metabolisms) and body composition (DXA) data are obtained during clinical visits. Factor analysis by principal components will be employed to identify DP; ANOVA and chi-square tests to compare sample characteristics according to tertiles of DP scores; and multiple linear regression models to evaluate association between exposures (breastfeeding and DP) and outcomes (DP, visceral adiposity and glico-lipid profile). Interaction terms between DP - breastfeeding and DP - pre-gestational BMI will be tested. (AU)