Identification of discriminative capacity of falls to parameters cinematic of gait in elderly with cognitive decline

• Grant number: 16/02728-0
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: August 01, 2016
• End date: July 31, 2017
• Field of knowledge: Health Sciences - Physiotherapy and Occupational Therapy
• Principal Investigator: Nise Ribeiro Marques
• Grantee: Giovanna Ferreira Camilo
• Host Institution: Centro de Ciências da Saúde. Universidade do Sagrado Coração (USC). Bauru , SP, Brazil

Abstract

Fall is a major cause of morbidity and mortality in the elderly. Cognitive decline hampers adaptive responses and increases the risk of further falls. In this sense, the possibility of kinematic gait parameters in discriminating fallers and non-fallers with cognitive decline may be very important for clinical practice. Objective: To identify the discriminative ability of kinematic parameters during gait in soil in institutionalized elderly with mild to moderate cognitive decline. Methods: Will be evaluated institutionalized elderly with mild to moderate cognitive decline. Gait phases will be determined by pressure sensors, 50 gait cycles will be obtained during gait in preference speed on the ground. Will be considered the variables: speed, time support, swing time and last time, as well as the time of a double support. To analyze the discriminative ability of the kinematic parameters of gait in soil will be analyzed by stepwise discriminant.

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)

MARQUES, NISE RIBEIRO; DE MARTINI LOPES DOS SANTOS, ANA PAULA; CAMILO, GIOVANNA FERREIRA; CARDOSO, BRUNA CARVALHO; BRANDO, NATALIA DIAS; HOFFMAN, JULIA; NAVEGA, MARCELO TAVELLA; CARVALHO LEITE DE ABREU, DANIELA CRISTINA. Effect of different residential settings on gait kinematic parameters in older adults with cognitive impairment. HUMAN MOVEMENT SCIENCE, v. 75, FEB 2021. (16/02728-0, 16/02727-3)

MARQUES, NISE RIBEIRO; CAMILO, GIOVANNA FERREIRA; DE MARTINI LOPES DOS SANTOS, ANA PAULA; CARDOSO, BRUNA CARVALHO; NAVEGA, MARCELO TAVELLA; CARVALHO DE ABREU, DANIELA CRISTINA. The ability of gait kinematic parameters to predict falls in older adults with cognitive impairments living in long term institutions. CLINICAL BIOMECHANICS, v. 65, p. 123-127, MAY 2019. (16/02727-3, 16/02728-0)