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Record W2376965975

Effect of Positive Psychological Intervention on Depression and Cognitive Impairment in Patient with Parkinson's Disease

2012· article· en· W2376965975 on OpenAlexaboutno aff
Xia Chen

Bibliographic record

VenueNanfang huli xuebao · 2012
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsnot available
Fundersnot available
KeywordsHamdMontreal Cognitive AssessmentDepression (economics)MedicineCognitionIntervention (counseling)Cognitive impairmentClinical psychologyPhysical therapyPsychiatryAnxiety
DOInot available

Abstract

fetched live from OpenAlex

Objective To explore the effect of psychological intervention on depression and cognitive impairment in patient with Parkinson's Disease(PD).Methods Sixty PD patients with depression and cognitive impairment were randomly divided into control group and experimental group.Patients in control group received normal nursing care while those in experimental group normal nursing plus positive psychological intervention.The scores of depression and cognitive function assessing by Hamilton Depression Scale(HAMD) and Montreal Cognitive Assessment(MoCA) after 8 weeks intervention were compared.Results Depressive symptoms and cognitive impairment were found in all patients with PD.The HAMD scores descend in both the groups after 8 weeks,but scores descended more in experimental group(P0.01).The MoCA scores in experimental group increased significantly(P0.05) which indicated patients' cognitive function were improved while the total MoCA scores in control group didn't change much(P0.05).Conclusion Psychological intervention based on positive psychology can improve the depression and cognitive impairment of patients with PD.

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)0.000
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 score0.085
Threshold uncertainty score0.242

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.006
GPT teacher head0.308
Teacher spread0.301 · 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

Citations1
Published2012
Admission routes1
Has abstractyes

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