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Record W4414690406 · doi:10.1002/pan3.70165

Duration and economic value of a walking‐in‐nature therapy programme: Implications for conservation

2025· article· en· W4414690406 on OpenAlexaboutno aff
Aliénor L. M. Chauvenet, Cassandra Wardle, Diane Westaway, Ralf Buckley

Bibliographic record

VenuePeople and Nature · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Green Space and Health
Canadian institutionsnot available
FundersGriffith University
KeywordsDuration (music)Mental healthMainstreamValue (mathematics)Economic evaluationQuarter (Canadian coin)Economic impact analysisHealth care

Abstract

fetched live from OpenAlex

Abstract Nature exposure, such as visiting protected areas, provides mental health benefits that reduce healthcare costs and improve productivity, with global values in the trillions. Countries are bringing nature‐based programs into mainstream mental healthcare via nature therapies. This study quantifies the scale, duration and economic value of mental health benefits from a long‐established nature therapy programme and implications for conservation. Using a Before‐After‐Control‐Impact design, we evaluated a 12‐week nature walking programme with social mechanisms for therapeutic adherence. Mental health was assessed using the Personal Well‐being Index (PWI), a measure of subjective well‐being, with participants and controls from the same subpopulation. Measurements occurred at programme start, end and 12 weeks post‐intervention. Economic benefits were calculated using the financial value of quality‐adjusted life‐years. The nature‐based therapy programme improved the mental well‐being of participants during the programme and for at least 3 months afterwards. While controls showed well‐being improvements when they reported having physically exercised (despite not being instructed to), programme participants exhibited an additional PWI increase of 5.1%. Training in nature was a critical component, leading to the highest increase in mental health benefits, and doubling of their duration (up to 12 months). Mean total economic benefit per participant who followed the programme design in full was c.AU$4000. Total economic contribution via mental health, adjusted for socio‐economic and demographic factors, participation patterns, post‐programme fade‐out and the national number of participants each year, is therefore c.AU$20 million per annum. Mental health benefits of nature visits fade once people stop visiting parks. To maximise their contribution to political and economic support for protected areas, therefore, the focus for future research and practice should be on social mechanisms to promote lifelong park visit habits. Read the free Plain Language Summary for this article on the Journal blog.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.008
GPT teacher head0.276
Teacher spread0.268 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2025
Admission routes1
Has abstractyes

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