Stress management programme may reduce hospital admissions among people with schizophrenia
Bibliographic record
Abstract
Norman R, Malla A, McLean T et al. An evaluation of a stress management program for individuals with schizophrenia. Schizophrenia Res2002 Dec; 58 : 293 –303 [OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] QUESTION: Does improving stress management skills enhance outcomes for people with schizophrenia? Randomised trial. Assessors were blind to treatment allocation. One treatment centre in Canada; timeframe not specified. Participants were 121 people aged between 17 and 50 years with a DSM IIIR diagnosis of schizophrenia. Mean age 34 years; 33% women; mean length of illness 9 years. People were excluded if they were hospitalised or had medication increases in the past 3 months due to exacerbation of acute symptoms. Participants received either 1) a 12-week group stress management programme with individual follow up sessions, or 2) social activities. The stress management programme focused on muscular relaxation … [1]: {openurl}?query=rft.jtitle%253DSchizophrenia%2Bresearch%26rft.stitle%253DSchizophr%2BRes%26rft.aulast%253DNorman%26rft.auinit1%253DR.%2BM.%26rft.volume%253D58%26rft.issue%253D2-3%26rft.spage%253D293%26rft.epage%253D303%26rft.atitle%253DAn%2Bevaluation%2Bof%2Ba%2Bstress%2Bmanagement%2Bprogram%2Bfor%2Bindividuals%2Bwith%2Bschizophrenia.%26rft_id%253Dinfo%253Adoi%252F10.1016%252FS0920-9964%252801%252900371-1%26rft_id%253Dinfo%253Apmid%252F12409170%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1016/S0920-9964(01)00371-1&link_type=DOI [3]: /lookup/external-ref?access_num=12409170&link_type=MED&atom=%2Febmental%2F6%2F2%2F52.atom [4]: /lookup/external-ref?access_num=000179196000021&link_type=ISI
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.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".