The effects of acute and chronic exercise on inflammatory markers in children and adults with a chronic inflammatory disease: a systematic review.
Notice bibliographique
Résumé
BACKGROUND: Chronic inflammatory diseases strike millions of people all over the world, and exercise is often prescribed for these patients to improve overall fitness and quality of life. In healthy individuals, acute and chronic exercise is known to alter inflammatory markers; however, less is known about these effects in patients with a chronic inflammatory disease. OBJECTIVE: The purpose of this review is to clearly define the effects of acute and chronic exercise on inflammatory markers in patients compared with healthy controls to determine whether exercise elicits an abnormal inflammatory response in those patients. DATA SOURCES: A literature search was conducted through MEDLINE and EMBASE (until January 2009). STUDY SELECTION: A distinction was made between children and adults, acute (i.e., single exercise session) and chronic exercise (i.e., training) and endurance and resistance exercise. To evaluate and compare the exercise responsiveness of various reported inflammatory markers, pre- to post-test effect sizes were calculated. DATA EXTRACTION: A methodological quality scoring as well as an assessment of the quality of exercise paradigms were both made. RESULTS: In total, 19 studies were included in this systematic review (children, n=7; adults, n=12). Of these, 7 were acute exercise studies in children, 8 were acute exercise in adults, 5 were chronic endurance exercise training studies, and I was a chronic resistance exercise training study. No exercise training studies were found involving children. Single bouts of exercise might elicit an aggravated inflammatory response in patients; this was reported for patients with type I diabetes mellitus, cystic fibrosis and chronic obstructive pulmonary disease. More severely affected patients may experience a more aggravated inflammatory response. Levels ofinflammatory markers, principally IL-6 but also T-cells, total leukocytes and lymphocytes, remained elevated longer into the recovery period following an acute bout of exercise in patients compared with healthy controls. Evidence was found that chronic endurance exercise training programs can attenuate systemic inflammation in patients with chronic heart failure and type 2 diabetes mellitus. CONCLUSIONS: In patients with a chronic inflammatory disease, both acute and chronic exercise might elicit different inflammatory responses (i.e., exaggerated after acute exercise & attenuated after training) compared to healthy matched controls. However, the results reveal a major gap in our knowledge regarding the effects of acute and chronic exercise on inflammatory markers in patients with a chronic inflammatory disease. Results are often inconsistent, and differences in training programs (intensity, frequency and duration), heterogeneity of disease populations studied, and analytic methods may be just some of the causes for these discrepancies. To optimize exercise prescriptions and recommendations for patients with a chronic inflammatory disease, more research is needed to define the nature of physical activity that confers health benefits without exacerbating underlying inflammatory stress associated with disease pathology.
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 | 0,007 | 0,041 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,009 | 0,006 |
| Bibliométrie | 0,007 | 0,009 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».