A Profile of Physical Fitness Variables in an Out-Patient Adult Population with Narcolepsy
Notice bibliographique
Résumé
Background: Narcolepsy is a disabling lifelong condition that impacts an individuals ability to regulate sleep-wake patterns. Narcolepsy can significantly impact the physical and mental wellbeing of people with narcolepsy, and has been associated with significant reductions in quality of life and physical performance. Despite physical functioning and vitality being the most affected domains of health-related quality of life in this cohort, more accurate measurements of physical performance using a suitable physical test battery have not yet been conducted.\n\nMethods: A systematic review and meta-analysis was conducted to explore health-related quality of life in adults with narcolepsy. A cross-sectional study was conducted to assess the physical performance of adults with narcolepsy who attended the Narcolepsy Clinic in St. James s Hospital between October 2019 and March 2020. A comprehensive battery was designed to assess physical performance variables. The following variables were objectively assessed; cardiopulmonary fitness (YMCA Submaximal Bike Test), muscle strength (Dynamometry and Countermovement Jump Test), muscle endurance (ACSM Push Up Test and Wall Squat Test) and physical activity (Actigraphy). A number of questionnaires were utilised to assess health-related quality of life (Short Form 36 and Functional Outcomes of Sleep Questionnaire), symptom severity (Narcolepsy Severity Scale and Epworth Sleepiness Scale) and physical activity (Physical Activity Vital Sign) and sedentary behaviour (Sedentary Behaviour Questionnaire) of this sample. Several open-ended questions were asked to ascertain participants attitudes towards exercise and their physical performance. \n\nResults: In total, 23 participants completed the test battery. The majority of participants were female (n=13, 56.52%). The mean age (± SD) was 31.53 (13.17) years with a range of 20-63 years observed. The majority of participants were concentrated in the 20-29 age group (n=14, 60.87%). Physical performance was generally found to be lower than age-and-gender matched normative values for cardiopulmonary fitness, physical activity and muscle strength and endurance. Symptom severity was high as measured by the Narcolepsy Severity Scale and Epworth Sleepiness Scale, and participants reported significantly reduced quality of life when compared to general population norms. Analysis of the open-ended questions provided valuable insights into the difficulties experienced with exercising in people with narcolepsy. Furthermore, an interrelationship was identified between participants physical performance, health-related quality of life and symptom severity.\n\nConclusion: In this sample of people with narcolepsy, physical performance was found to be markedly reduced than normative values, irrespective of participant age, gender and BMI. The chosen test battery employed in this study was largely feasible, and participants were enthusiastic and receptive towards the study. The interrelationship identified between physical performance, symptom severity and quality of life warrants further exploration of the role of physical activity and exercise in improving the physical performance in people with narcolepsy, and the influence of exercise on health-related quality of life and symptom severity in this cohort.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».