Algorithm for screening and management of locomotive syndrome in elderly individuals and development of a short version of the 25-question Geriatric Locomotive Function Scale-Portuguese

ABSTRACT Objective To develop a short version of the 25-question Geriatric Locomotive Function Scale-Portuguese and to create an algorithm for locomotive syndrome screening and management. Methods The 25-question Geriatric Locomotive Function Scale-Portuguese was applied to individuals aged 60 years or older seen at the Geriatrics and Gerontology Department of Universidade Federal de São Paulo, between 2016 and 2018. Items of the 25-question Geriatric Locomotive Function Scale-Portuguese were submitted to exploratory factor analysis using the principal component method. Internal consistency was investigated using Cronbach’s alpha coefficient. The ROC curve was used to determine the cut-off point of the short version developed. Finally, a simple and objective algorithm was created for locomotive syndrome screening and management using the Delphi method. Results A total of 202 elderly individuals aged 61 to 101 years (mean age, 84.67 years) were evaluated. Fifteen items were excluded from the 25-question Geriatric Locomotive Function Scale-Portuguese to compose the 10-question Geriatric Locomotive Function Scale-Portuguese, a 10-item instrument with appropriate psychometric properties. A cut-off point of ten (ROC curve) was determined for potential locomotive syndrome, with 96.5% sensitivity and 86.2% specificity. A very simple algorithm was developed for locomotive syndrome screening and management. Conclusion The short version (10-question) of the Geriatric Locomotive Function Scale-Portuguese has appropriate psychometric properties and provides a practical tool for detection of locomotive problems in elderly individuals.

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Bibliographic Details
Main Authors: Alves,Jessica Anelise Parreira, Tavares,Daniela Regina Brandao, Okazaki,Jane Erika Frazao, Arbex,Maria Carolyna Fonseca Batista, Galiano,Júlia de Carvalho, Carmo,Sabrina Nascimento do, Santos,Fânia Cristina dos
Format: Digital revista
Language:English
Published: Instituto Israelita de Ensino e Pesquisa Albert Einstein 2022
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-45082022000100285
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