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Record W2340567152

Avaliação do estado cognitivo e fragilidade em idosos mais velhos, residentes no domicílio

2014· article· pt· W2340567152 on OpenAlexaboutno aff
Kizie Conrado Leonardo, Luana Flávia da Silva Talmelli, Marina Aleixo Diniz, Jack Roberto Silva Fhon, Suzele Cristina Coelho Fabrício-Wehbe, Rosalina Aparecida Partezani Rodrigues

Bibliographic record

VenueCiência Cuidado e Saúde · 2014
Typearticle
Languagept
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsnot available
Fundersnot available
KeywordsGerontologyCognitionMedicinePopulationCognitive declineElderly peopleCognitive deficitMini–Mental State ExaminationCross-sectional studyStressorDementiaPsychologyCognitive impairmentClinical psychologyPsychiatryEnvironmental healthDisease
DOInot available

Abstract

fetched live from OpenAlex

As a result of increased population aging, an important rise in morbidity can be verified, not only referent to the emergence of chronic illnesses, but also the detection of important cognitive changes and physical disabilities. One example is frailty, a syndrome defined as a physiological condition of greater vulnerability to stressors, involving biological, physical, cognitive, social, economic and environmental factors. Thus, the objective in this study was to assess the cognitive status, using the Mini-Mental State Examination (MMSE), and frailty through the Edmonton Frail Scale (EFS), as well as to identify the relations between the cognitive function and frailty in elder elderly living at home. A cross-sectional observation study was undertaken. Data were collected at home with ethics committee approval. Fifty elderly were interviewed with a mean age of 84.48 years, mostly female, married and predominantly with low education levels. It was observed that 83.3% of non-frail elderly do not display any cognitive deficit. Among the frail elderly, 20.4% presented cognitive deficit, 30% of whom were women. A correlation was verified between the gross MMSE score, age and frailty in the study sample. From these data, there is the importance of a multidimensional geriatric evaluation with special attention to the cognitive state and frailty. It’s suggested that the MMSE and EFS are instruments to used in this assessment of the elderly.

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)0.002
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.147
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.034

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 head0.015
GPT teacher head0.268
Teacher spread0.252 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations6
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueCiência Cuidado e SaúdeSame topicFrailty in Older AdultsFrench-language works237,207