Evaluation of a Mindfulness-Based Stress Reduction (MBSR) Program for Caregivers of Children with Chronic Conditions
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: Given the demands of caring for chronically ill children, it is not surprising that caregivers often experience high levels of chronic stress. A Mindfulness-Based Stress Reduction (MBSR) program may offer relief to these caregivers by providing tools for self-care and heath promotion that otherwise may be lacking. METHODS: MBSR classes were offered without restriction to parents of children attending various clinics at a large urban children's medical centre. Caregivers completed the Profile of Mood States (POMS) and Symptoms of Stress Inventory (SOSI) both before and after program participation. RESULTS: Forty-four caregivers participated in one of seven group MBSR sessions that were offered between August 2001 and February 2004. Most were mothers of children with special needs and various chronic conditions, who had been diagnosed an average of 7 years previous. Prior to the intervention, caregivers reported very high levels of stress and mood disturbance. These decreased substantially over the 8-week program, with an overall reduction in stress symptoms of 32% (p < .001), and in total mood disturbance of 56% (p < .001). CONCLUSIONS: This brief MBSR program for caregivers of chronically ill children was successful in significantly decreasing substantial stress symptoms and mood disturbance. Further studies would benefit from using more rigorous methodology and applying the program to other groups of chronically stressed caregivers.
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.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it