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Record W4285493572 · doi:10.3233/jnd-221503

Impact of a 12-week Strength Training Program on Fatigue, Daytime Sleepiness, and Apathy in Men with Myotonic Dystrophy Type 1

2022· article· en· W4285493572 on OpenAlexaff
Benjamin Gallais, Marie‐Pier Roussel, Luc Laberge, Luc J. Hébert, Élise Duchesne

Bibliographic record

VenueJournal of Neuromuscular Diseases · 2022
Typearticle
Languageen
FieldNeuroscience
TopicGenetic Neurodegenerative Diseases
Canadian institutionsCentre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-JeanUniversité du Québec à ChicoutimiUniversité LavalCégep de JonquièreCentre for Interdisciplinary Research in RehabilitationUniversité de Sherbrooke
Fundersnot available
KeywordsApathyMyotonic dystrophyMedicinePhysical therapyExcessive daytime sleepinessMyotoniaPhysical medicine and rehabilitationDiseasePsychiatryInternal medicineSleep disorderInsomnia

Abstract

fetched live from OpenAlex

BACKGROUND: Myotonic dystrophy type 1 (DM1) is a multisystemic neuromuscular disorder causing a plea of impairments, of which fatigue and apathy are some of the most frequent non-muscular symptoms. No curative treatment exists to date, and patients only have access to limited effective care, which are intended to decrease the burden of specific symptoms in daily life. OBJECTIVE: This study aimed to assess whether a 12-week strength training program has an impact on fatigue/daytime sleepiness, apathy, and disease bruden in men with DM1. METHODS: Eleven participants completed the Fatigue and Daytime Sleepiness Scale (FDSS) and the Myotonic Dystrophy Health Index (MDHI) at baseline, at 6 and 12 weeks, and at 6 and 9 months. Also, the Apathy Evaluation Scale (AES) was filled out at baseline, at 12 weeks, and at 6 and 9 months. RESULTS: Results show significant effects of the training program both on apathy and fatigue/daytime sleepiness, effects that are respectively greater at three and six months after the end of the program than at its very end. However, no difference was observed regarding the overall disease burden. CONCLUSION: These findings are promising for patients with DM1 considering that few non-pharmacological treatments are available.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.800
Threshold uncertainty score0.844

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.042
GPT teacher head0.295
Teacher spread0.253 · 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

Citations8
Published2022
Admission routes1
Has abstractyes

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