Pablo Tomas-Carus1, Clarissa Biehl-Printes2, Catarina Pereira1, Guida Veiga1, Armando Costa3, Daniel Collado-Mateo4. 1. Departamento de Desporto e Saúde, Escola de Ciência e Tecnologia, Universidade de Évora, Portugal; Comprehensive Health Research Centre (CHRC), University of Évora, Portugal. 2. Instituto de Geriatria e Gerontologia (IGG), Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Brazil. 3. Departamento de Ciências do Desporto, Instituto Superior de Ciências Educativas (ISCE), Portugal; Centro de Investigação em Qualidade de Vida (CIEQV), Portugal. 4. Faculty of Sport Science, University of Extremadura, Spain. Electronic address: dcolladom@unex.es.
Abstract
INTRODUCTION: Falls are a common problem for older adults, and the identification of people at high risk of falling is a major challenge to health systems. OBJECTIVE: To evaluate the association between the history of falls and single-task Timed Up and Go Test (single TUG) or dual-task TUG variables. METHODS: Three hundred seventy seven community-dwelling older persons, with ages ranging from 65 and 92 years, participated in this cross-sectional study. Each participant performed two tests: single TUG and dual TUG. The cognitive task for dual TUG consisted of counting backward by one from 100 while performing the test. The number of cognitive errors, cognitive stops and motor stops were recorded. A new variable comprising time, errors and stops in the dual TUG was computed. RESULTS: The number of falls was significantly associated with mean single and dual TUG performance, mean cognitive errors, mean cognitive stops and mean motor stops. The score in the single TUG time was not able to significantly classify participants as fallers or non-fallers in any of the sexes. On the other hand, the variable "dual TUG time spent adding cognitive stops and cognitive errors" achieved the best ability to classify women as fallers or non-fallers, while "dual task cost" and "dual TUG time spent adding cognitive stops" were the best variables to classify men. CONCLUSIONS: Dual TUG including cognitive stops and cognitive errors may be more capable than the single TUG to detect differences and accurately classify fallers and non-fallers in the elderly.
INTRODUCTION: Falls are a common problem for older adults, and the identification of people at high risk of falling is a major challenge to health systems. OBJECTIVE: To evaluate the association between the history of falls and single-task Timed Up and Go Test (single TUG) or dual-task TUG variables. METHODS: Three hundred seventy seven community-dwelling older persons, with ages ranging from 65 and 92 years, participated in this cross-sectional study. Each participant performed two tests: single TUG and dual TUG. The cognitive task for dual TUG consisted of counting backward by one from 100 while performing the test. The number of cognitive errors, cognitive stops and motor stops were recorded. A new variable comprising time, errors and stops in the dual TUG was computed. RESULTS: The number of falls was significantly associated with mean single and dual TUG performance, mean cognitive errors, mean cognitive stops and mean motor stops. The score in the single TUG time was not able to significantly classify participants as fallers or non-fallers in any of the sexes. On the other hand, the variable "dual TUG time spent adding cognitive stops and cognitive errors" achieved the best ability to classify women as fallers or non-fallers, while "dual task cost" and "dual TUG time spent adding cognitive stops" were the best variables to classify men. CONCLUSIONS: Dual TUG including cognitive stops and cognitive errors may be more capable than the single TUG to detect differences and accurately classify fallers and non-fallers in the elderly.
Authors: Santos Villafaina; Narcis Gusi; Sandra Rodriguez-Generelo; Juan de Dios Martin-Gallego; Juan Pedro Fuentes-García; Daniel Collado-Mateo Journal: Biomed Res Int Date: 2019-11-11 Impact factor: 3.411
Authors: Juan Luis Leon-Llamas; Santos Villafaina; Alvaro Murillo-Garcia; Daniel Collado-Mateo; Francisco Javier Domínguez-Muñoz; Jesús Sánchez-Gómez; Narcis Gusi Journal: Int J Environ Res Public Health Date: 2019-12-06 Impact factor: 3.390