Analysis of protein intake and its correlation with body composition and biochemical parameters in elderly women with sarcopenic obesity submitted to physical exercise.

• Grant number: 22/12708-7
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: May 01, 2023
• End date: April 30, 2024
• Field of knowledge: Health Sciences - Nutrition
• Principal Investigator: Ellen Cristini de Freitas
• Grantee: Gabriela Geraldo Benzoni
• Host Institution: Escola de Educação Física e Esporte de Ribeirão Preto (EEFERP). Universidade de São Paulo (USP). Ribeirão Preto , SP, Brazil
• Associated research grant: 19/11820-5 - Nr1d1 function on the aging-associated Sarcopenia, AP.TEM

Abstract

With the crescent number of elderly people in the world population, health problems related to this age have become important for public health agencies. Advanced age is associated with metabolic, physiological and lifestyle changes, which can lead to sarcopenic obesity. This situation bind two very common health problems in the elderly and needs to be better studied so that effective non-drug treatments can be used in the front line of treatment. Physical exercise and adequate protein consumption are promising interventions in the treatment of both conditions, through the promotion of greater energy expenditure by exercise and through the metabolic adaptations that occur both with it and with protein consumption, which can help in the recovery of lean mass and recovery of nutritional status. Therefore, the objective of the present study is to analyze the effects of physical exercise on the amount of lean appendicular mass as well as to correlate it with the protein intake of elderly women with sarcopenic obesity. Volunteers with sarcopenia and body mass index (BMI) between 30 and 40kg/m² will be recruited. These will perform multicomponent physical exercise for 16 weeks and will collect data on anthropometry, body composition, biochemical tests and food intake to analyze the adequacy of protein consumption. Data will be evaluated by Student's t test or Mann-Whiteney test for paired samples depending on the normality of the data that will be tested by the Shapiro-Wilk test. For data correlation analysis, the Spearman correlation test will be performed. The significance level adopted was p<0.05 and all analyzes will be performed in SPSS 20.0 software