Are anthropometric measures and body composition are related to the occurrence of signs and symptoms in cardiovascular rehabilitation programs?

• Grant number: 20/10366-6
• Support Opportunities: Scholarships in Brazil - Master
• Start date: August 01, 2021
• End date: February 28, 2022
• Field of knowledge: Health Sciences - Physiotherapy and Occupational Therapy
• Principal Investigator: Luiz Carlos Marques Vanderlei
• Grantee: Heloisa Balotari Valente
• Host Institution: Faculdade de Ciências e Tecnologia (FCT). Universidade Estadual Paulista (UNESP). Campus de Presidente Prudente. Presidente Prudente , SP, Brazil

Abstract

Introduction: During the routine of Cardiovascular Rehabilitation Programs (CRP) may occur signs and symptoms, which can be associated with serious adverse events. In this sense, identifying variables that are related to the appearance of these signs and symptoms and which can apply to clinical practice is relevant. Objectives: To evaluate the correlation between anthropometric and body composition measurements assessed at rest with the appearance of signals and symptoms during CRP, as well as to evaluate which of these measures are better correlate with the appearance of signals and symptoms. Materials and methods: Sixty-nine volunteers participants of a CRP will be evaluated. Initially, personal information and medical examinations are going to be extracted from volunteers' medical records, and anthropometric measurements (body mass, height, waist circumference, hip circumference, abdominal circumference, calf circumference, arm circumference) and body composition measurements (body fat, body fat percentage, fat-free mass, resistance, reactance, total body water and total water of fat-free mass) are going to be evaluated. Following this, the volunteers are going to be followed during 24 sessions during their CRP routines in order to identify the appearance of their signals and symptoms. The relationship between the number of signs and symptoms and the values of anthropometric and body composition measures is going to be analyzed using Pearson or Spearman correlation, according to the normality of the data. For variables with significant correlation, linear regression is going to perform, adjusted to sex, age, diagnostic, and CRP time.

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

VALENTE, Heloisa Balotari. Are anthropometric measurements and body composition related to the occurrence of signs and symptoms in cardiac rehabilitation programs?. 2022. Master's Dissertation - Universidade Estadual Paulista (Unesp). Faculdade de Ciências e Tecnologia. Presidente Prudente Presidente Prudente.