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Record W3199488308 · doi:10.3390/brainsci11091214

Impact of Moderate Individually Tailored Physical Activity in Multiple Sclerosis Patients with Fatigue on Functional, Cognitive, Emotional State, and Postural Stability

2021· article· en· W3199488308 on OpenAlexaboutno aff
Justyna Redlicka, Ewa Zielińska-Nowak, Anna Lipert, Elżbieta Miller

Bibliographic record

VenueBrain Sciences · 2021
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsnot available
FundersUniwersytet Łódzki
KeywordsMontreal Cognitive AssessmentPhysical therapyMultiple sclerosisBalance (ability)Depression (economics)Geriatric Depression ScaleRehabilitationCognitionBeck Depression InventoryMedicinePhysical medicine and rehabilitationPsychologyCognitive impairmentDepressive symptomsPsychiatryAnxiety

Abstract

fetched live from OpenAlex

Multiple sclerosis (MS) is a chronic disease, with fatigue syndrome as one of the main symptoms. The aim of this study was to demonstrate that moderate physical activity (MPA) may have a beneficial effect on postural stability, balance, and clinical parameters. The research group consisted of 137 randomized patients hospitalized at the Department of Neurological Rehabilitation, Medical University of Lodz. Finally, 76 patients were qualified who were divided into two groups-high fatigue (HF) and low fatigue (LF). Participants were assessed twice: before and after a 4-week MPA program using: the Expanded Disability Status Scale (EDSS), the Fatigue Severity Scale (FSS), the Mini-Mental State Examination (MMSE), the Montreal Cognitive Assessment (MoCA), the Beck Depression Inventory (BDI), and the Geriatric Depression Scale (GDS), and stabilometric platform tests were performed. Results obtained after the 4-week MPA program showed a positive effect of the MPA with differences between LF and HF groups. The MPA was more effective in MS patients with LF in cognitive functions, functional status, and postural stability but among HF patients in an emotional state, especially in MS patients below 65 years, although in total, both groups benefited from the MPA.

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)0.002
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 score0.011
Threshold uncertainty score0.417

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.183
GPT teacher head0.355
Teacher spread0.172 · 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

Citations11
Published2021
Admission routes1
Has abstractyes

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