Linoleic (18:2n-6) and alpha-linolenic (18:3n-3) fatty acids consumption assessmen...
| Grant number: | 14/06865-6 |
| Support type: | Scholarships in Brazil - Master |
| Effective date (Start): | July 01, 2014 |
| Effective date (End): | February 29, 2016 |
| Field of knowledge: | Health Sciences - Collective Health |
| Cooperation agreement: | Coordination of Improvement of Higher Education Personnel (CAPES) |
| Principal Investigator: | Maria Antonieta de Barros Leite Carvalhaes |
| Grantee: | Caroline de Barros Gomes |
| Home Institution: | Faculdade de Medicina (FMB). Universidade Estadual Paulista (UNESP). Campus de Botucatu. Botucatu , SP, Brazil |
Abstract Weight gain during pregnancy is a prognostic factor for the mother's and baby's health, with the divergences, beyond or short of recommendations, related to undesirable outcomes for both. As one of the main determinants of weight gain, food intake during pregnancy is understudied, possibly by large methodological challenges and peculiarities of the period, characterized by changes in eating behavior. Current trend in research of food consumption is to identify and analyze dietary patterns in line with the World Health Organization recommendations with production of guides and nutritional guidelines based on food sets of food and not in nutrients. The group or set of food consumed by a population (or strata) is a dietary pattern, and the international literature has indicated an association between dietary patterns and pregnancy outcomes and maternal and child health. This study aims to identify dietary patterns in a cohort of pregnant women and their association with maternal characteristics. The source of data will be the study Impact of an intervention aimed to promote walking during leisure time and healthy eating in pregnant women attending the Family Health strategy: a controlled cohort study, called project-matrix. In each trimester two food 24-hour recalls were performed: one for face to face and one for telephone interview, referring to weekday and weekend; these being the source of consumption data of the present study. In this project, the surveys will be entered into the Nutrition Data System for Research software (NDSR). After pre-analysis, in which foods with similar characteristics are grouped together, the identification of patterns will involve principal components factor analysis, using the average consumption of each food in the two recalls obtained in each trimester. Analyzes separately by trimester, will be conducted to identify changes in patterns and in sequence will be identified characteristics of pregnant women associated with compliance with the various patterns that may be identified. (AU) | |