Bibliographic record
Abstract
Depression creates huge socioeconomic problems globally and will become the most serious cause of disability in 2030. Effective and community-based treatment methods are urgently needed to cope with critical issues affected by depression. \n \nRecent neuroscience research has reexamined how affect mediates the responses between the mind and body. The discussion of the relationships between various neurological processes during clay art making established the underpinnings of adopting a body–mind and bottom–up integrated approach. \n \nClay art therapy (CAT) incorporated nonverbal and verbal; kinesthetic, sensory, and psychological components in treatment. The adoption of clay as the only art medium with the use of the Expressive Therapies Continuum (ETC) framework organized the intervention on the body and mind from a bottom-up hierarchy. All these have rarely been reported in art therapy and psychiatry literature and randomized controlled trial has never been conducted in this area. \n \nThis study adopted a mixed methods approach in which 100 patients with depression were randomly allocated into Clay Art Therapy (CAT) group and nondirective Visual Art (VA) control group in community setting. Both groups met for 2.5 hours weekly for six sessions. For quantitative method, an outcome study was applied to measure intervention effects with Beck Depression Inventory (BDI-II-C), General Health Questionnaires (GHQ-12), Body–Mind–Spirit–Well-Being Inventory (BMSWBI), and Toronto Alexithymia Scale 20 (TAS-20). Quantitative data were collected at baseline (T0), end of treatment (T1) and three weeks after (T2). A process study was conducted in which the participants in the CAT group were asked to fill out a form to record the ETC movements in the clay work processes. For qualitative method, art-based qualitative inquiry was adopted. Content analysis of codes derived from the semi-structured interview with participants conducted at T2 would be able to understand the participants’ experiences of the intervention. \n \nResults of repeated measures MANCOVA showed significant improvement in depressive signs, general health, Body–Mind–Spirit–Well-Being, and ability to articulate inner process in CAT group compared with the control VA group across T0, T1, and T2. Univariate analyses revealed a significant effect for BDI-II-C, GHQ-12, and BMSWBI, but not on TAS-20 in CAT group compared with the control group across the time points. The CAT intervention was found to be more effective than the VA intervention in alleviating depressive signs, improving general health, daily functioning, and holistic well-being of the participants. \nAnalysis of the ETC movement direction showed a coherent flow moving from the predominance of Kinesthetic–Sensory level (session 1-2), gradually transited to Perceptual–Affective level (session 3-4), and finally to Cognitive–Symbolic level (session 5-6). This supported the effects of CAT in progressively integrating the body and mind with a bottom–up approach. Qualitative results demonstrated various effects of CAT which included release of energy, relaxation, improvement in attention, balancing objective judgments with expression of feeling, enhancement of cognitive abilities, affirming self-identity, and strengthening of resilience to frustration. \n \nThis study demonstrated the benefits and practicability of an integrated arts therapy approach in treating depression. The community-based and strength-based intervention of CAT can supplement mainstream treatment and can be applied to other populations with other forms of affective disorders.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".