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Record W2896533716 · doi:10.2340/16501977-2493

Fatigue in adults with cerebral palsy: A three-year follow-up study

2018· article· en· W2896533716 on OpenAlexaff
Irene L B Oude Lansink, P McPhee, Laura Brunton, Jan Willem Gorter

Bibliographic record

VenueJournal of Rehabilitation Medicine · 2018
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsWestern UniversityMcMaster University
Fundersnot available
KeywordsCerebral palsyGross Motor Function Classification SystemMedicineConfidence intervalPhysical therapyPediatricsPhysical medicine and rehabilitationPsychologyInternal medicine

Abstract

fetched live from OpenAlex

People with cerebral palsy are often tired and may complain about fatigue.In this study we describe the development of fatigue over a mean period of 3 years.We found that fatigue is more or less stable over time on a group level.On an individual level there can be important changes, both increases and decreases in fatigue-related symptoms.We did not find any known risk factors for fatigue (for example body mass index, age) to be predictive of change in fatigue over time.We learned that adults with CP, who experience fatigue, are likely to remain fatigued in the future.We therefore think it is important for care providers to monitor and talk about fatigue with adults with CP.We would suggest care providers begin this discussion at a much younger age to influence fatigue later in life.Objectives: To describe the course of fatigue over a 3-year follow-up period in adults with cerebral palsy and to investigate the association of known determinants of fatigue (i.e.demographic characteristics and/or body composition) with change in fatigue.Methods: Forty-one adults with cerebral palsy from a previous study of fatigue were invited to participate in a follow-up study.Twenty-three adults with cerebral palsy (Gross Motor Function Classification System (GMFCS) levels I-V; mean age 38 years 2 months, standard deviation (SD) 14 years 1 month)) agreed to participate (convenience sample).Fatigue was measured with the Fatigue Impact and Severity Self-Assessment (FISSA, range 31-157) questionnaire.The course of fatigue is described at group, subgroup (GMFCS) and individual levels.Results: The mean FISSA score for all participants was 84.0 (SD 27.7) at baseline and 91.7 (SD 26.7) at follow-up.Despite variations among individuals in the change of fatigue, there was no statistically significant difference in FISSA score over time (p = 0.087, 95% confidence interval (95% CI) -16.7 to 1.22).No known determinants of fatigue predictive of change in FISSA scores were found.Discussion: Fatigue appears to be relatively stable within adults with cerebral palsy over time, with a variable presentation between individuals and across GMFCS levels.Care providers should monitor and discuss fatigue in young individuals with cerebral palsy in order to attenuate fatigue later in life.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.020
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.301
Teacher spread0.283 · 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 source (direct Gemma or distilled Codex), 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

Citations16
Published2018
Admission routes1
Has abstractyes

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