Mental well-being and quality-of-life benefits of inclusion in nature for adults with disabilities and their caregivers
Bibliographic record
Abstract
Sonya L. Jakubeca*, Don Carruthers Den Hoedb§, Heather Rayc & Ashok Krishnamurthyda School of Nursing and Midwifery, Mount Royal University, Calgary, AB, Canadab East Kananaskis Area, Alberta Environment and Parks, Government of Alberta, Cochrane, AB, Canadac Department of Physical Education and Recreation Studies, Mount Royal University, Calgary, AB, Canadad Department of Mathematics and Computing, Mount Royal University, Calgary, AB, Canada* Corresponding author. Email: sjakubec@mtroyal.ca§ Additional current affiliation: School of Nursing and Midwifery, Mount Royal University, Calgary, AB, CanadaAbstractThe benefits of green space and nature experiences are increasingly being recognised and translated into public health policy and practice. Alongside this trend, inclusion of all people into parks and nature has been an important area of parks and recreation practice. Nature inclusion for those with disabilities, youth, seniors and immigrants has become a focus of Alberta in Western Canada. This study was designed to examine the influence of two such government supported nature interventions, including day trips and a more extensive weekend or week-long nature experience, on mental well-being outcomes. It is a mixed methods pilot study (N = 37) with baseline and post-intervention measures of quality of life using the standard Quality of Life Inventory (QOLI) alongside other qualitative accounts. Quantitative findings, while not statistically significant, show a positive trend towards improved depression markers, greater health satisfaction, improved social relationships (in particular, love and friendship), as well as satisfaction with a sense of community and experiences of helping. In addition to comments within the QOLI, qualitative data were elicited through reflective writing during the nature interventions. Three dominant qualitative themes of inclusive nature experiences were found: ‘Sensory Activation’, ‘Reimagined Social Relations’ and ‘Reinvented Self’.
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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 | 0.001 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".