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Record W2353723917

Influence on cognitive function by hypertension and related risk factors in elderly people

2011· article· en· W2353723917 on OpenAlexaboutno aff
Fang Ning-yua

Bibliographic record

VenueZhonghua linchuang yishi zazhi · 2011
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disease Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMontreal Cognitive AssessmentBlood pressureCircadian rhythmMedicineCognitionInternal medicineStatisticCardiologyDiastoleGerontologyAudiologyPhysical therapyCognitive impairmentPsychiatryStatistics
DOInot available

Abstract

fetched live from OpenAlex

Objective To investigate the relationship between cognitive function and blood pressure in the elderly,as well as the influence of related risk factors.Methods A total of 175 patients over 60 years old were categorized in 2 groups:124 hypertensives and 51 normotensives.The Montreal Cognitive Assessment(MoCA)was used to determine cognitive change.The parameters of blood pressure and biochemical indicators were observed.SPSS 13.0 was used to perform the statistic analysis.Results The MoCA scores of total score,subscores of visuospatial and executive,attention,language,delayed recall were significantly decreased in hypertensive group(P0.05).24 h mean diastolic blood pressure(MDBP),daily mean diastolic blood pressure(dMDBP) and the proportion of normal circadian rhythm were significantly increased in hypertensive patients whose MoCA scores were normal(P0.01).Age was negative linear correlation with the MoCA scores.Circadian rhythm and dMDBP were positive linear correlation with the MoCA scores.Conclusions MoCA is sensitive in clinical assessment of cognitive impairment.The data suggest that age,circadian rhythm and dMDBP appeared to be independent variables for predicting the MoCA scores in patients with hypertension.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.205
Threshold uncertainty score0.807

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
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 head0.223
Teacher spread0.193 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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