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Record W7066498853

Influência do suporte social no funcionamento cognitivo em idosos portugueses

2021· dissertation· pt· W7066498853 on OpenAlexaboutno aff

Bibliographic record

VenueRepositório Científico Lusófona (Grupo Lusófona) · 2021
Typedissertation
Languagept
FieldHealth Professions
TopicHistory, Culture, and Society
Canadian institutionsnot available
Fundersnot available
KeywordsCognitionSocial supportSocial cognitive theoryActivities of daily livingElderly people
DOInot available

Abstract

fetched live from OpenAlex

Esta investigação teve como objetivo geral a verificação de uma associação entre a satisfação com o suporte social e a função cognitiva, mais especificamente teve como objetivo analisar o suporte social e avaliar a função cognitiva. Para isto 50 participantes responderam a um Questionário sociodemográfico, ao Montreal Cognitive Assessment, ao Inventário de depressão de Beck, à Frontal Assessment Battery, ao questionário de Satisfação com o Suporte Social e Questionário de Memória de Trabalho. Foi considerada a população com idade igual ou superior a 65 anos, e com ausência de história de perturbação neurológica/psiquiátrica, assim como de alterações visuais e auditivas. Os resultados encontrados indicam uma influência do suporte social nas queixas subjetivas de memória de trabalho quando a sintomatologia depressiva está controlada, isto é, quando a satisfação com o suporte social é deficitário e os níveis de depressão são elevados, mais serão as queixas subjetivas de memória de trabalho. Indicam, também, uma influência de sentido negativo entre a idade e os scores do MOCA e da FAB, e positiva entre a escolaridade e os scores do MOCA e da FAB. Conclui-se a necessidade de um trabalho preventivo e de suporte com os idosos, nomeadamente os que se encontram institucionalizados, uma vez que, uma estratégia preventiva auxilia na manutenção do funcionamento cognitivo.

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)0.007
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 score0.046
Threshold uncertainty score0.091

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.033
GPT teacher head0.346
Teacher spread0.312 · 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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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