Virtual group-based mindfulness program for autistic women: A feasibility study
Bibliographic record
Abstract
BACKGROUND: Autistic women experience life differently than autistic men. For example, autistic women tend to be diagnosed significantly later than autistic men, they experience a higher number of traumas, and are at increased risk for mental health conditions. Given gender-specific life experiences, autistic women may benefit from gender-specific group-based supports. Virtual mindfulness has been shown to be helpful in improving well-being among autistic adults; however, limited research has explored the impact of virtual mindfulness when it is delivered to a group of autistic women only. OBJECTIVES: The aim of this article is to describe a preliminary evaluation of a virtual mindfulness group piloted for autistic women. Five key areas of feasibility were assessed in the current study: demand, implementation, acceptability, practicality, and limited efficacy testing. METHODS: Twenty-eight women participated in a 6-week virtual autism-informed mindfulness program and were asked to complete measures assessing psychological distress, self-compassion, and mindfulness at pre and post. Participants were also asked to complete a satisfaction survey after the program. RESULTS: Results showed that the program was feasible in terms of demand, implementation, practicality, and acceptability. While quantitative results showed there were no changes in psychological distress, self-compassion, and mindfulness from pre- to post-program, qualitative results showed some benefits. CONCLUSION: Given the unique challenges that some autistic women experience, offering groups to autistic women may have some value and it would be important to continue exploring this topic area.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.032 | 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".