MétaCan
Menu
Back to cohort
Record W2945815453 · doi:10.1080/13803395.2019.1614535

The relationship between physical activity and symptoms of fatigue, mood, and perceived cognitive impairment in adults with multiple sclerosis

2019· article· en· W2945815453 on OpenAlexafffund
Chantel D. Mayo, Kelly Miksche, Kristen Attwell-Pope, Jodie R. Gawryluk

Bibliographic record

VenueJournal of Clinical and Experimental Neuropsychology · 2019
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsIsland HealthUniversity of Victoria
FundersCanadian Institutes of Health ResearchBranch Out Neurological FoundationStrongMichael Smith Health Research BCUniversity of Victoria
KeywordsPsychologyMultiple sclerosisMoodCognitive impairmentCognitionClinical psychologyPhysical activityDevelopmental psychologyPsychiatryPhysical medicine and rehabilitationMedicine

Abstract

fetched live from OpenAlex

Introduction: Multiple Sclerosis (MS) is achronic neurological condition that requires costly treatment for aconstellation of motor and sensory symptoms, as well as fatigue, depression, and cognitive problems. Given that this pharmacological treatment often results in side effects, there is acrucial need for low-costbehavioral treatments that are effective in further reducing MS symptoms. It has been hypothesized that physical activity may slow the neurodegenerative progression of MS. The aim of the current study was to investigate the relationship between physical activity and commonly reported MS symptoms, including fatigue, depression, and perceived cognitive impairment.Method: 86 individuals with MS responded to amail-outquestionnaire. Physical activity, fatigue, mood, and perceived cognitive impairment were assessed using the following measures: Godin Leisure-TimeExercise Questionnaire (GLTEQ), Modified Fatigue Impact Scale (MFIS), Patient Health Questionnaire (PHQ-9), and Patient Deficit Questionnaire (PDQ). Descriptive and correlational statistics were calculated to investigate the relationship between scores on the GLTEQ and scores on the MFIS, PHQ-9, and PDQ. Results: Overall, there was asignificant negative relationship between physical activity (GLTEQ) and fatigue (MFIS; r= –.34, p= .002) and depression (PHQ-9; r= –.23, p= .034) in individuals with MS. There was not asignificant relationship between physical activity and overall perceived cognitive dysfunction (PDQ; r= –.19, p= .08), but when the PDQ subscales were examined, there was asignificant relationship with perceived retrospective (r = 0.24, p= .03) and prospective memory abilities (r = –.22, p= .04). When the RRMS and progressive subtypes were examined separately, we observed asimilar pattern of results for the RRMS group, but the progressive MS group did not reach significance.Conclusions: Individuals with MS who reported more strenuous and/or frequent physical activity, reported fewer problems with fatigue, depression, and perceived memory abilities.

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 score0.010
Threshold uncertainty score0.293

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.128
GPT teacher head0.428
Teacher spread0.299 · 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

Citations35
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Clinical and Experimental NeuropsychologySame topicMultiple Sclerosis Research StudiesFrench-language works237,207