Physical Activity Level and Motor Aptitude: Motor Domains and Identification Capacity of Brazilian Insufficiently Active Older Adults.


Journal

Current aging science
ISSN: 1874-6128
Titre abrégé: Curr Aging Sci
Pays: United Arab Emirates
ID NLM: 101473576

Informations de publication

Date de publication:
2021
Historique:
received: 13 02 2020
revised: 24 05 2020
accepted: 02 07 2020
pubmed: 30 9 2020
medline: 26 10 2021
entrez: 29 9 2020
Statut: ppublish

Résumé

A decrease in the physical activity level in old age is common, which results in an increase in the number of falls and chronic conditions. Associated with that occurs the decline in motor skills as a result of the deficit in the interaction of cognitive and motor processes. Physical activity levels can be associated differently with each motor domain. ; Objective: We analyzed the relationship between physical activity level and motor aptitude and to identify which motor domains were most sensitive to detect insufficiently active level in older adults. ; Methods: 385 elderly people of both sexes participated in the study. For the evaluation of the subjects, the International Questionnaire on Physical Activity and the Motor Scale for Older Adults were adopted. ; Results: The majority of the elderly were active. In comparing motor aptitude between active and insufficiently active (IAC) elders a significant difference was found in the Global Coordination, Balance, Body Scheme and General Motor Aptitude. From the analysis of the Area Under the Curve (AUC), we verified that these domains also were the ones that presented adequate diagnostic accuracy to identify IAC elderly. Besides that, active elderly have presented the General Motor Aptitude classified within normality while the IAC below the normal. ; Conclusion: Our data suggest that IAC older adults present lower motor aptitude than the active elderly, especially in the domains of Global Coordination, Balance, Body Scheme and General Motor Aptitude, and that these domains were sensitive to indicate IAC older adults.

Sections du résumé

BACKGROUND
A decrease in the physical activity level in old age is common, which results in an increase in the number of falls and chronic conditions. Associated with that occurs the decline in motor skills as a result of the deficit in the interaction of cognitive and motor processes. Physical activity levels can be associated differently with each motor domain. ; Objective: We analyzed the relationship between physical activity level and motor aptitude and to identify which motor domains were most sensitive to detect insufficiently active level in older adults. ; Methods: 385 elderly people of both sexes participated in the study. For the evaluation of the subjects, the International Questionnaire on Physical Activity and the Motor Scale for Older Adults were adopted. ; Results: The majority of the elderly were active. In comparing motor aptitude between active and insufficiently active (IAC) elders a significant difference was found in the Global Coordination, Balance, Body Scheme and General Motor Aptitude. From the analysis of the Area Under the Curve (AUC), we verified that these domains also were the ones that presented adequate diagnostic accuracy to identify IAC elderly. Besides that, active elderly have presented the General Motor Aptitude classified within normality while the IAC below the normal. ; Conclusion: Our data suggest that IAC older adults present lower motor aptitude than the active elderly, especially in the domains of Global Coordination, Balance, Body Scheme and General Motor Aptitude, and that these domains were sensitive to indicate IAC older adults.

Identifiants

pubmed: 32988360
pii: CAS-EPUB-110279
doi: 10.2174/1874609813666200928141220
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

32-38

Informations de copyright

Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Auteurs

Lucia M Andreis (LM)

Department of Human Movement Sciences, Santa Catarina State University, Florianópolis, Brazil.

Fernando de Aguiar Lemos (F)

Department of Physical Education, Federal University of San Francisco Valley, Petrolina, Brazil.

Lorenna W de Lima Silva (LW)

Department of Human Movement Sciences, Santa Catarina State University, Florianópolis, Brazil.

Cassiana L P Garcia (CLP)

Department of Human Movement Sciences, Santa Catarina State University, Florianópolis, Brazil.

Gabrielli Veras (G)

Department of Human Movement Sciences, Santa Catarina State University, Florianópolis, Brazil.

Francisco R Neto (FR)

Department of Human Movement Sciences, Santa Catarina State University, Florianópolis, Brazil.

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Classifications MeSH