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The Relation of Social Support-Seeking to Quality of Life in Schizophrenia

2001· article· en· W2080588272 on OpenAlexaff
Abraham Rudnick, Shlomo Kravetz

Bibliographic record

VenueThe Journal of Nervous and Mental Disease · 2001
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsOntario Shores Centre for Mental Health SciencesUniversity of Toronto
Fundersnot available
KeywordsSocial supportQuality of life (healthcare)Schizophrenia (object-oriented programming)PsychologyPsychological interventionClinical psychologyHelp-seekingPsychiatryCoping (psychology)Mental healthPsychotherapist

Abstract

fetched live from OpenAlex

Social support-seeking has been shown to improve the outcome of schizophrenia. However, no study to date has documented the impact of social support seeking on self-perceived quality of life in schizophrenia, particularly not on the relation between symptoms and quality of life. The present study explored this issue with a sample of 58 outpatients diagnosed with schizophrenia without comorbidity. Social support seeking, symptoms (positive, negative, and extrapyramidal), and multidimensional self-reported quality of life were assessed cross-sectionally. Negative symptoms were inversely related to the quality of life domain of activities of daily living. Other symptoms and social support-seeking were not related to quality of life, and social support-seeking did not interact with symptoms in their relation to quality of life. Social support-seeking may thus not be beneficial (nor disruptive) as a way of coping with symptoms in schizophrenia. More studies are needed in order to investigate the relation of social support-seeking to symptoms and to quality of life in serious mental illnesses such as schizophrenia, so that interventions with persons suffering from these disorders may be better guided.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.033
GPT teacher head0.337
Teacher spread0.304 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations34
Published2001
Admission routes1
Has abstractyes

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