The Impact of Aerobic Exercise Training on Autonomic Function in Adolescent Sport‐Related Concussion
Notice bibliographique
Résumé
Introduction Impairments in autonomic function such as increased heart rate (HR) and reduced heart rate variability (HRV), have been observed in patients diagnosed with concussion. This may be indicative of cardiovascular and autonomic uncoupling. Aerobic exercise can help improve cardiac autonomic balance, and increase HRV. Accordingly, controlled aerobic exercise may help restore autonomic balance in adolescents diagnosed with a concussion. Objective To test the hypothesis that aerobic exercise rehabilitation can help restore autonomic functioning in adolescents diagnosed with a concussion. Methods Participants with a confirmed concussion diagnosis were recruited for this study. Participants were randomly allocated into one of two conditions, 1) Exercise (n=7, 14.2±1.7 years, 22.8±5.2 BMI) and; 2) Usual care (n=8, 14.6±1.6 years, 23.4±6.3 BMI). At baseline testing, each participant completed a five‐minute resting supine trial to record measures of the HRV signal. Following, participants performed a 10‐minute exertion test on a treadmill to symptom exacerbation, similar to previous work. The exercise group completed three additional days of monitored aerobic exercise at 80% HR of their symptom exacerbation. All exercise training was completed on a cycle ergometer within one‐week of baseline. The usual care group did not perform any exercise for one‐week. Follow‐up testing occurred one‐week post baseline. Main outcome measures for supine HRV were, root mean square of successive NN interval differences (RMSSD), standard deviation of successive NN interval differences (SDNN), total power, high frequency power, and low frequency power. HRV measures are reported as mean±standard deviation. The relative percent change between baseline and follow‐up were calculated for each outcome measure, and an independent samples t‐test was used to measure differences between conditions. Results Compared to study entry baseline levels, there was a significant main effect for exercise group RMSSD increased from baseline (44±21 ms) to follow‐up (50±22 ms) (p < 0.05, d = 1.3). However, RMSSD decreased for the usual care group from baseline (87±34 ms) to follow‐up (70±39). Similarly, was a statistically significant difference in SDNN scores (p < 0.05, d = 1.2) between conditions. SDNN increased in the exercise group from baseline (52.4±20.0 ms) to follow‐up (58.2±16.6 ms), and decreased in the usual care condition from baseline (80.5±22.3 ms) to follow‐up (67±24.7 ms) (p < 0.05, d = 1.2). There were no statistically significant differences for any frequency domain measures. Conclusion Our findings suggest monitored aerobic exercise training at 80% HR of symptom exacerbation may help restore autonomic imbalances associated with concussion injury in adolescents. Support or Funding Information Children's Health Research Institute This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .
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 | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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 ».