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Record W3167189380 · doi:10.1123/japa.2020-0467

Quality of Movement Is Associated With Cognitive Function in Physically Inactive Older Women

2021· article· en· W3167189380 on OpenAlexaboutno aff
Andressa Crystine da Silva Sobrinho, Mariana Luciano de Almeida, Vagner Ramon Rodrigues Silva, Guilherme da Silva Rodrigues, Karine Pereira Rodrigues, Camila de Paula Monteiro, Carlos Roberto Bueno Júnior

Bibliographic record

VenueJournal of Aging and Physical Activity · 2021
Typearticle
Languageen
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsnot available
Fundersnot available
KeywordsCognitionPsychologyConfidence intervalOrientation (vector space)Association (psychology)GerontologyMontreal Cognitive AssessmentMedicineCognitive impairmentPsychiatry

Abstract

fetched live from OpenAlex

The relationship between the quality of movement, considering different global and universal basic patterns of movement and cognition domains in older adults remain unclear. The current study explored this association in physically inactive older women. In total, 187 participants, aged 60-70 years (mean = 64.9, SD = 6.9 years), were recruited from a physical education program in a public university. The older adults performed the following tests: Functional Movement Screen, Montreal Cognitive Assessment, and Modified Baecke Questionnaire for the Older Adults. The regression analysis showed an association between age (β = -0.11, 95% confidence interval, CI, [-0.10, 0.30], p = .03); visuospatial abilities (β = 0.36, 95% CI [0.24, 1.23], p < .001); language (β = 0.23, 95% CI [0.20, 1.08], p < .001); and orientation domains (β = 0.13, 95% CI [0.11, 1.22], p = .016) of the Montreal Cognitive Assessment and the Functional Movement Screen. The quality of movement was related to both age and cognitive performance, such as the visuospatial abilities, language, and orientation domains, in physically inactive older women.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.584
Threshold uncertainty score0.312

Codex and Gemma teacher scores by category

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

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 head0.030
GPT teacher head0.368
Teacher spread0.338 · 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 teacher head, 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".

Quick stats

Citations5
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Aging and Physical ActivitySame topicBalance, Gait, and Falls PreventionFrench-language works237,207