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Record W2937822214 · doi:10.1093/schbul/sbz019.383

T103. THE EFFECTS OF GROUP ARTS THERAPY BASED ON EMOTION MANAGEMENT TRAINING ON THE EMOTIONAL EXPRESSION, ALEXITHYMIA, DEPRESSION AND QUALITY OF LIFE IN PATIENTS WITH SCHIZOPHRENIA

2019· article· en· W2937822214 on OpenAlexaboutno aff
Sang-Yeol Lee, Moon-Doo Kim, Jeong Seok Seo, Kwang‐Hun Lee, D.I. Jon, Won‐Myong Bahk

Bibliographic record

VenueSchizophrenia Bulletin · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicArt Therapy and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaToronto Alexithymia ScalePsychologyClinical psychologyPositive and Negative Syndrome ScaleSchizophrenia (object-oriented programming)Emotional expressionDepression (economics)PsychiatryPsychosisDevelopmental psychology

Abstract

fetched live from OpenAlex

Poor emotional expression and depression of patients with schizophrenia are difficult problems in clinical situation. The objective of this study was to investigate the effects of group arts therapy based on emotion management training on emotional expression, positive emotion and negative emotion, alexithymia, depression and quality of life in patients with schizophrenia 24 of 160 in-patients with schizophrenia, according to DSM-IV from H Mental Health Hospital, were randomly assigned to either an experimental or control group. Each group consisted of 12 patients. Group arts therapy was conducted on the experimental group twice a week, 60 minutes per session, for a total of 16 sessions, while the control group was left untreated. The following scales were used for assessment: Berkeley Expressivity Questionnaire (BEQ), Positive Affective and Negative Affect Schedule (PANAS), Toronto Alexithymia Scale-Korean version (TAS-20K), Depression Scale for Schizophrenia (K-CDSS), Positive and Negative Syndrome Scale (PANSS), and Schizophrenia Quality of Life Scale (SQLS-R4K). Independent t-test was conducted to confirm the homogeneity, and to find the effects of group arts therapy, repeated measures ANOVA was conducted to confirm the differences for scores of each scale regarding groups, measuring timing, and also the interaction between groups and measuring timing by pre, post and follow-up test. First, total score, expressivity factors and impulse strength factors of emotional expressivity were significantly increased after group arts therapy compared to the control group. Second, positive emotion was significantly increased and negative emotion was significantly decreased after group integrative therapy compared to the control group. Third, total score, difficulty identifying feelings of Alexithymia were significantly decreased after group arts therapy compared to the control group. Fourth, depression was significantly decreased after group integrative arts therapy compared to the control group. Fifth, negative syndromes and general psychopathology were significantly decreased after group arts therapy compared to the control group. Sixth, quality of life was significantly increased after group arts therapy compared to the control group. The group arts therapy has significantly improved the emotional expression, positive emotion, negative emotion and Alexithymia in patients with schizophrenia and also improved negative syndromes, general psychopathology, depression and quality of life. These results suggest that group arts therapy based on emotion management training could be a useful intervention for emotional disturbance treatment for in patients with schizophrenia.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.022
GPT teacher head0.227
Teacher spread0.206 · 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 designNon-randomized trial
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

Citations2
Published2019
Admission routes1
Has abstractyes

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