Feasibility study of an embodied and embedded mindfulness- and compassion-based intervention for non-suicidal self-injury disorder
Bibliographic record
Abstract
BACKGROUND: Non-suicidal self-injury (NSSI) is associated with suicide risk, as well as a number of psychological disorders. This, coupled with its high prevalence rate, make it imperative that effective treatments for those who engage in NSSI are investigated and made available to the public. Despite this, few interventions specifically targeting NSSI have been researched. This study aimed to address this gap in the existing research by investigating the feasibility and acceptability of an embodied and embedded mindfulness and compassion treatment (EEMCT) for individuals who engage in self-injury. METHODS: Six participants attended eight weekly two-hour group therapy sessions. Feasibility and acceptability were assessed using qualitative and quantitative methods. Outcomes measured included urges to self-injure, as well as mental health symptoms commonly associated with NSSI (i.e., depression, anxiety, difficulty with emotion regulation, perceived stress). Outcomes were measured at pre-intervention, post-intervention, and six months follow-up. RESULTS: Quantitative results supported the acceptability of the intervention. Mixed results were found for the intervention's feasibility. Participants gave feedback about the intervention in semi-structured interviews. They noted benefits of the intervention (e.g., learning self-kindness and awareness of thoughts and feelings), as well as several ways in which the intervention could be improved (e.g., more take-home practice material, shorter meditations). For several participants, clinically meaningful change was seen in anxiety from pre-intervention to post-intervention and from pre-intervention to follow-up. Some participants also showed meaningful decreases in depressive symptoms and emotion regulation from pre-intervention to follow-up. CONCLUSIONS: Overall, the results of this study suggest that EEMCT may be helpful and acceptable to individuals who engage in NSSI; however, more research is needed to confirm these findings. Suggestions for improving the feasibility of the intervention are discussed.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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) | 0.000 | 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".