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Influência do Estado Mental Cognitivo no Equilíbrio Postural de Idosos

2018· article· pt· W2901598814 on OpenAlexaff
Aline Da Rosa Castilho, Márcio Rogério de Oliveira, Leticia Fernanda Fabrin, Pablo Eduardo Albuquerque de Souza, Rubia S Silva, Rubens Alexandre Silva

Bibliographic record

VenueJournal of Health Sciences · 2018
Typearticle
Languagept
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsUniversité du Québec à Chicoutimi
Fundersnot available
KeywordsGynecologyPsychologyMedicine

Abstract

fetched live from OpenAlex

ResumoO estado cognitivo tem um papel importante na independência e na funcionalidade do idoso, assim é importante identificar sua influência no contexto do equilíbrio postural. O objetivo deste estudo foi analisar se o estado mental influência no desempenho de equilíbrio postural de idosos. Duzentos e sete idosos, fisicamente independentes de ambos os sexos, com idade média 67 anos foram divididos em três grupos de acordo com resultados obtidos pelo questionário do mini exame de estado mental (grupo 1, Funções cognitivas preservadas – FCP, n=57; grupo 2, Déficit cognitivo não sugestivo – DCNS, n=72; grupo 3, Sugestivo de déficit cognitivo – SDC, n=78). O equilíbrio postural foi avaliado em duas condições (bipodal e unipodal) por meio de uma plataforma de força. Três tentativas foram realizadas em cada condição e a média das tentativas foi utilizada para analisar a oscilação dos parâmetros do centro pressão (COP). Os resultados encontrados mostraram diferenças significativas entre todos grupos no questionário de mini mental (FCP > DCNS > SDC, P= <0,001). Por outro lado, nenhuma diferença estatisticamente significativa (P= >0,05) foi encontrada entre os grupos para todos os parâmetros do COP nas duas condições de equilíbrio avaliadas. Os achados do presente estudo sugerem que, a diferença encontrada no estado cognitivo não influenciou significativamente no equilíbrio postural de idosos fisicamente independentes.Palavras-chave: Envelhecimento. Disfunção Cognitiva. Equilíbrio Postural.Abstract Cognitive status have an important role in the independence and functionality of the older people, so it is important to identify their influence in the context of postural balance. The aim of this study was to analyze whether the mental state influences the postural balance performance of the older people. Two hundred and seven physically independent older people of both sexes, mean age 67 ± 4 years were divided into three groups according to results obtained by the mini mental state examination. (group 1, Preserved cognitive functions - PCF, n = 57; group 2, Non suggestive cognitive deficit - NSCD, n = 72; group 3, Suggestive cognitive deficit - SCD, n = 78). The postural balance was evaluated in two conditions (two- and one-legged stand) by means of a force platform. Three trials were performed in each condition and the mean number of trials was used to analyze the oscillation of the center pressure (COP). The results showed significant differences between all groups in the mini mental questionnaire (PCF> NSCD> SCD, P = <0.001) On the other hand, no statistically significant difference (P = >0.05) was found between the groups for all COP parameters in the two balance conditions evaluated. The findings of the present study suggest that the differences found in cognitive status do not significantly influence in the postural balance of physically independent elderly.Keywords: Aging. Cognitive Dysfunction. Postural Balance. Influência

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.051
GPT teacher head0.425
Teacher spread0.374 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2018
Admission routes1
Has abstractyes

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