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Record W1968929298 · doi:10.1093/schbul/sbq049

Exercise Therapy for Schizophrenia

2010· review· en· W1968929298 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSchizophrenia Bulletin · 2010
Typereview
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsycINFOMedicineConfidence intervalRandomized controlled trialMeta-analysisSchizophrenia (object-oriented programming)CINAHLPhysical therapyPsychiatryMEDLINEMental healthRelative riskNumber needed to treatPsychological interventionInternal medicine

Abstract

fetched live from OpenAlex

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 programmes 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 randomised 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 (RR) and its 95% confidence interval (CI). Where possible, the weighted number needed to treat/harm statistic (NNT/H) and its 95% confidence interval (CI), was also calculated. For continuous outcomes, endpoint data were preferred to change data. We synthesised non-skewed data from valid scales using a weighted mean difference (WMD).Three randomised 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 (Beebe 2005 and Marzaloni 2008) compared exercise to standard care and both found exercise to significantly improve negative symptoms of mental state (Mental Health Inventory Depression: 1RCT, n=10, MD 17.50 CI 6.70 to 28.30, PANNS negative: 1RCT, n=10, MD -8.50 CI -11.11 to -5.89). No absolute effects were found for positive symptoms of mental state. Physical health improved significantly in the exercise group compared to those in standard care (1RCT, n=13, MD 79.50 CI 33.82 to 125.18), but no effect on peoples' weight/BMI was apparent. Duraiswamy 2007 compared exercise with yoga and found that yoga had a better outcome for mental state (PANNS total: 1RCT, n=41, MD 14.95 CI 2.60 to 27.30). The same trial also found those in the yoga group had significantly better quality of life scores (WHOQOL Physical: 1RCT, n=41, MD -9.22 CI -18.86 to 0.42). Adverse effects (AIMS total scores) were, however, similar.Results of this Cochrane review are similar to existing reviews that have examined the health benefits of exercise in this population (Faulkner 2005). Although studies included in this review are small and used various measures of physical and mental health, results indicated that regular exercise programmes 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 randomised studies are required before any definitive conclusions can be drawn.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.949
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.005

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 head0.045
GPT teacher head0.345
Teacher spread0.300 · 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