Methodological and statistics developments and evaluation in the collection and analysis of dietary data to obtain accurate measurements in epidemiological studies

• Grant number: 16/20054-6
• Support Opportunities: Regular Research Grants
• Start date: February 01, 2018
• End date: May 31, 2021
• Field of knowledge: Health Sciences - Nutrition - Nutritional Analysis of Population
• Principal Investigator: Dirce Maria Lobo Marchioni
• Grantee: Dirce Maria Lobo Marchioni
• Host Institution: Hospital Universitário (HU). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Associated researchers: Eliseu Verly Junior ; Isabela Judith Martins Bensenor ; José Eduardo Corrente ; Paulo Andrade Lotufo ; Sandra Patricia Crispim ; Valéria Troncoso Baltar
• Associated scholarship(s): 18/09818-0 - Proof of concept trial of the Brazilian version of GloboDiet software in the longitudinal study of adult health (ELSA-Brasil), BP.TT; 18/07510-8 - Computational algorithms for identification of equivalences between nutritional composition and food intake databases: an adaptation to the Brazilian version of the GloboDiet software, BP.TT

Abstract

In the complex research field of the role of lifestyle in the etiology of chronic diseases, diet is certainly one of the most difficult attributes to measure. Whereas all the physical and biological measurements, in any area of science, have measurement errors, it is imperative to continuously improve the technical aspects of measurement, including dietary intake assessment. Thus, this project aims to develop and evaluate methods of collection and analysis of dietary data to obtain accurate measurements of nutrient and food intake, aimed at use in epidemiological studies, especially for the Study of Adult Health Longitudinal (ELSA-Brasil), and specifically (1) estimate the measurement error associated with the use of GloboDiet platform through biomarker validation study; (2) test predictive equations of usual intake for use in analysis of epidemiological study, using data from the cohort ELSA-Brazil (3) estimate the underreporting, its determinants and its impact on the estimate of regular consumption; (4) estimate intrapersonal variability of dietary intake and intake of biomarkers; and (5) to estimate the calibration factors for the association of measures of correction using error models measures. It will assess the standardized methodology of performance to collect short-term dietary data (24 hour recall). This methodology, translated into GloboDiet platform was developed by the International Agency for Research on Cancer, which coordinated the realization of the Brazilian version. Using a sample of ELSA-Brazil study, we will use biomarkers of recovery and concentration, via metabolomics, to pursued our aims. Also, in the third wave of ELSA-Brazil cohort, it is intended that the estimate of dietary intak to be made by a food frequency questionnaire (FFQ) in association with this method. On completion of the project, this tool will be available for monitoring studies and research projects, providing comparability between different regions and population groups over time. Furthermore, it is foreseen to publish the results in high impact journals and training human resources in research. This project will contribute to the understanding and revealing the diet and health relationships. (AU)

Scientific publications

(4)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

LEVY, JESSICA; SILVA, ALEXSANDRO MACEDO; DE CARLI, EDUARDO; CACAU, LEANDRO TEIXEIRA; DE ALVARENGA, JOSE FERNANDO RINALDI; FIAMONCINI, JARLEI; BENSENOR, ISABELA MARTINS; LOTUFO, PAULO ANDRADE; MARCHIONI, DIRCE MARIA. Biomarkers of Fruit Intake Using a Targeted Metabolomics Approach: an Observational Cross-Sectional Analysis of the ELSA-Brasil Study. Journal of Nutrition, v. 152, n. 9, p. 8-pg., 2022-05-31. (16/20054-6, 18/08319-0, 19/13424-0, 19/11324-8)

PRISCILA SANTANA OLIVEIRA; JÉSSICA LEVY; EDUARDO DE CARLI; ISABELA JUDITH MARTINS BENSENOR; PAULO ANDRADE LOTUFO; ROSANGELA ALVES PEREIRA; EDNA MASSAE YOKOO; ROSELY SICHIERI; SANDRA PATRICIA CRISPIM; DIRCE MARIA LOBO MARCHIONI. Estimativa da subnotificação de ingestão energética através de diferentes métodos em uma subamostra do estudo ELSA-Brasil. Cadernos de Saúde Pública, v. 38, n. 7, 2022-07-25. (19/09809-3, 16/20054-6)

BELLOT, PAULA EMILIA NUNES RIBEIRO; BRAGA, ERIK SOBRINHO; OMAGE, FOLORUNSHO BRIGHT; NUNES, FRANCISCA LEIDE DA SILVA; LIMA, SEVERINA CARLA VIEIRA CUNHA; LYRA, CLELIA OLIVEIRA; MARCHIONI, DIRCE MARIA LOBO; PEDROSA, LUCIA FATIMA CAMPOS; BARBOSA JR, FERNANDO; TASIC, LJUBICA; et al. Plasma lipid metabolites as potential biomarkers for identifying individuals at risk of obesity-induced metabolic complications. SCIENTIFIC REPORTS, v. 13, n. 1, p. 13-pg., 2023-07-20. (16/20054-6, 18/24069-3, 14/50867-3, 22/11207-4, 23/02691-2)

JOSIANE STELUTI; SANDRA PATRICIA CRISPIM; MARINA CAMPOS ARAUJO; ALINE MENDES PERALTA; ROSANGELA ALVES PEREIRA; ROSELY SICHIERI; EDNA MASSAE YOKOO; DIRCE MARIA MARCHIONI. Tecnologia em Saúde: versão brasileira do software GloboDiet para avaliação do consumo alimentar em estudos epidemiológicos. Revista Brasileira de Epidemiologia, v. 23, 2020-03-09. (15/12196-2, 16/20054-6)