“It helps me to be more aware and connected to my body when I spent so many years trying to disconnect”: A qualitative pilot study on the impact of time spent in nature on eating disorder recovery
Bibliographic record
Abstract
Eating disorders have high relapse and mortality rates, complex treatment needs, and disproportionately affect women. A common characteristic of women with eating disorders is a lack of embodiment and disconnection from the body. Increasing positive embodiment may be a means to help support recovery. This study qualitatively examined the impact of time spent in nature as a potential mechanism for increasing positive embodiment during eating recovery among six women in Canada and the USA using semi-structured interviews and reflexive thematic analysis. Participants shared that spending time in nature helped them appreciate and care for their bodies and slow their eating disorder voice, providing a foundation on which to build and maintain recovery from their eating disorder. Participants also described how being in nature helped them feel connected, leading to feeling a sense of belonging and a part of something bigger than themselves. The findings from this pilot study warrant further investigation, and may have implications for eating disorder treatment for women, as spending time in nature during eating disorder recovery may help counterbalance societal pressures on women and support recovery maintenance.
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 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 | 0.012 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.011 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| 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".