Notice bibliographique
Résumé
The health benefits of physical activity and exercise are well documented, and these effects could help people with schizophrenia. To determine the mental health effects of exercise/physical activity programs for people with schizophrenia or schizophrenia-like illnesses. We searched the Cochrane Schizophrenia Group Trials Register (December 2008), which is based on regular searches of CINAHL, EMBASE, MEDLINE, and PsycINFO. We also inspected references within relevant papers. We included all randomized controlled trials comparing any intervention where physical activity or exercise was considered to be the main or active ingredient with standard care or other treatments for people with schizophrenia or schizophrenia-like illnesses. We independently inspected citations and abstracts, ordered papers, quality assessed, and data extracted. For binary outcomes, we calculated a fixed-effect risk ratio and its 95% CI. Where possible, the weighted number needed to treat/harm statistic (NNT/H) and its 95% CI was also calculated. For continuous outcomes, endpoint data were preferred to change data. We synthesized nonskewed data from valid scales using a weighted mean difference. Three randomized controlled trials met the inclusion criteria. Trials assessed the effects of exercise on physical and mental health. Overall numbers leaving the trials were similar. Two trials compared exercise with standard care and both found exercise to significantly improve negative symptoms of mental state (Mental Health Inventory Depression: 1 RCT, n = 10, Mean Difference [MD] 17.50 CI 6.70–28.30, Positive and Negative Syndrome Scale [PANSS] negative: 1 RCT, n = 10, MD −8.50 CI −11.11 to −5.89; figure 1). No absolute effects were found for positive symptoms of mental state. Physical health improved significantly in the exercise group compared with those in standard care (1 RCT, n = 13, MD 79.50 CI 33.82–125.18; figure 2), but no effect on peoples’ weight/BMI was apparent. One study compared exercise with yoga and found that yoga had a better outcome for mental state (PANSS total: 1 RCT, n = 41, MD 14.95 CI 2.60–27.30). The same trial also found that those in the yoga group had significantly better quality of life scores (World Health Organization Quality of Life physical: 1 RCT, n = 41, MD −9.22 CI −18.86 to 0.42). Adverse effects (Abnormal Voluntary Movements Scale total scores) were, however, similar. Comparison 1: Exercise vs Standard Care; Outcome: Mental state PANSS Negative endpoint score (low score = good). Comparison 1: Exercise vs Standard Care; Outcome: Physical fitness: 6-min walking test—average endpoint score (high score = good). Although studies included in this review are small and used various measures of physical and mental health, results indicated that regular exercise programs are possible in this population and that they can have healthful effects on both the physical and mental health and well being of individuals with schizophrenia. Larger randomized studies are required before any definitive conclusions can be drawn. Internal Sources of Support: Faculty of Physical Education and Health, University of Toronto, Canada. External Sources of Support: Ontario Mental Health Foundation, Canada; Centre for Urban Health Initiatives, Canada.
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 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,018 | 0,002 |
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 ».