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Record W2567285614 · doi:10.5604/01.3001.0009.4806

Assessment of the correlation between gait and balance disorders, and the severity of motor symptoms in Parkinson’s disease, depression and cognitive impairment.

2016· article· en· W2567285614 on OpenAlexaboutno aff
Bartłomiej Czechowicz, Joanna Siuda, Magdalena Bednar, Iwona Nowakowska, Monika Rudzińska

Bibliographic record

VenueRehabilitacja Medyczna · 2016
Typearticle
Languageen
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsnot available
Fundersnot available
KeywordsTinetti testPhysical medicine and rehabilitationRating scaleMontreal Cognitive AssessmentDepression (economics)GaitBalance (ability)Parkinson's diseaseFear of fallingMovement disordersBerg Balance ScaleBeck Depression InventoryPhysical therapyPsychologyCognitionMotor disorderDiseaseMedicinePoison controlCognitive impairmentPsychiatryInjury preventionAnxietyInternal medicine

Abstract

fetched live from OpenAlex

Introduction: Postural instability in patients with Parkinson’s disease (PD) is one of the major factors contributing to an increasing number of falls and fall related complications. Diagnosis of balance disorder is based on assessment of postural control by the biomechanical assessment of the musculoskeletal system, coordinating speed and precision of movements. The condition for the performance of precise and smooth movement is coordination of motor activity and sensory signals fl owing to the motor system. Study aim: The aim of the study is to assess the impact of non-motor symptoms (depression and cognitive impairment) and the impact of the severity of motor symptoms on the process of course of movement planning and control in Parkinson’s disease. Material and methods: The study involved 40 patients with idiopathic Parkinson’s disease, diagnosed according to the criteria adopted by the United Kingdom Parkinson’s Disease Society Brain Bank (UKPDSBB), with stage II or III severity of symptoms of the disease according to the Hoehn-Yahr sclae. All the patients underwent physical examination with an evaluation using the UPDRS (Unifi ed Parkinson’s Disease Rating Scale) and screening clinical trials were performed, evaluating cognitive functions (Montreal Cognitive Assessment, MoCA) and depressive disorders (Beck Depression Inventory, BDI). Evaluation of mobility, stability and motor control was done using the Berg Balance Scale (BBS), the Tinetti test, the Up and Go test (TUG) and the Dynamic Gait Index (DGI). Results: There was a signifi cant correlation between the level of severity of movement disorders (according to UPRDS ON part III) and the parameters defi ning motor skills in the DGI (R= -0.49, p<0.001), the TUG test evaluating mobility (R=0.4, p<0.01), and static and dynamic balance disorder using BBS (R=-0.44, p<0.004). The level of cognitive functioning had signifi cant impact on the mobility and stability of patients, and the occurrence of depressive disorder did not affect the deterioration of basic postural reactions in the group of patients with PD. Cite this article as: Czechowicz B., Siuda J., Bednar M., Nowakowska I., Rudzińska-Bar M. Assessment of the correlation between gait and balance disorders, and the severity of motor symptoms in Parkinson’s disease, depression and cognitive impairment. Med Rehabil 2016; 20(2): 13-19.

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 score0.010
Threshold uncertainty score0.274

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 studies0.0000.001
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 head0.007
GPT teacher head0.305
Teacher spread0.298 · 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
Published2016
Admission routes1
Has abstractyes

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