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Effects of serum levels of cardiometabolic, hormonal, inflammatory and nutritional biomarkers on the body composition in different cohorts of Brazilian older people domiciled

Grant number: 15/15224-7
Support type:Scholarships in Brazil - Post-Doctorate
Effective date (Start): November 01, 2015
Effective date (End): June 30, 2019
Field of knowledge:Health Sciences - Nutrition
Principal researcher:Yeda Aparecida de Oliveira Duarte
Grantee:Manuela de Almeida Roediger
Home Institution: Faculdade de Saúde Pública (FSP). Universidade de São Paulo (USP). São Paulo , SP, Brazil
Associated research grant:14/50649-6 - SABE study: a longitudinal study of multiple cohorts on the elderly life and health conditions in the municipality of São Paulo - cohort 2015, AP.TEM


There is scientific evidence showing that the variation of serum levels of cardiometabolic, inflammatory, hormonal and nutritional biomarkers can be associated with body composition of elderly and other risk variables and contribute to the development and/or aggravation of diseases and impair quality of life these individuals. This research project will consist of analysis of the effect of serum concentrations of those biomarkers on body composition in different cohorts of Brazilian older people according to covariates. It will present longitudinal design and with different birth cohorts of the elderly (e 60 years), of both sexes, participants of the study "Health, Wellbeing and Aging - SABE ", epidemiological and home-based, carried out conducted in São Paulo-SP, in 2000, 2006 and 2010 to be realized in 2015. The variables of interest will be the cardiometabolic biomarkers, inflammatory, hormonal and nutritional and body composition, and covariates will be the sociodemographic, lifestyle, clinical, genetic, quality of life and death. For data analysis descriptive statistics will be calculated, being that the association between the variation of biomarkers with body composition, according covariates will be done by Poisson regression modeling, with the older people of the 2010 cohort and longitudinal regression modeling with mixed effects procedures, to verify this association in the period of 6 years (2010 and 2015). For the identification of risk variables that contribute to variation in biomarkers will be used hierarchical multivariate analysis. The logistic regression analysis will be used to verify the association between serum levels of biomarkers and quality of life of older people. The Cox regression model will be adopted to determine the magnitude of the effect of the biomarkers in the mortality rate of older people and Kaplan-Meir method to compare the survival curves. For the calculations will be used statistical program Stata 13.0 and ambient R.

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Scientific publications
(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)
ROEDIGER, MANUELA DE ALMEIDA; NUNES MARUCCI, MARIA DE FATIMA; DUIM, ETIENNE LARISSA; FERREIRA SANTOS, JAIR LICIO; DE OLIVEIRA DUARTE, YEDA APARECIDA; DE OLIVEIRA, CESAR. Inflammation and quality of life in later life: findings from the health, well-being and aging study (SABE). HEALTH AND QUALITY OF LIFE OUTCOMES, v. 17, FEB 6 2019. Web of Science Citations: 3.
DE ALMEIDA ROEDIGER, M.; DE FATIMA NUNES MARUCCI, M.; QUINTILIANO SCARPELLI DOURADO, D. A.; DE OLIVEIRA, C.; LICIO FERREIRA SANTOS, J.; DE OLIVEIRA DUARTE, Y. A. Body Composition Changes and 10-Year Mortality Risk in Older Brazilian Adults: Analysis of Prospective Data from the SABE Study. Journal of Nutrition Health & Aging, v. 23, n. 1, p. 51-59, JAN 2019. Web of Science Citations: 0.

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