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Record W4413054846 · doi:10.1016/j.bodyim.2025.101951

“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

2025· article· en· W4413054846 on OpenAlexafffundabout
Megan Buchkowski, Sarah Nutter, Jessica F. Saunders

Bibliographic record

VenueBody Image · 2025
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsUniversity of Victoria
FundersSocial Sciences and Humanities Research CouncilSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyEating disordersFeelingDisconnectionThematic analysisAffect (linguistics)ReflexivityQualitative researchDisordered eatingShameDevelopmental psychologyClinical psychologySocial psychologyPsychotherapist

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.635
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.033
GPT teacher head0.402
Teacher spread0.369 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes3
Has abstractyes

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