Measuring Adult Health and Well-Being Outcomes Associated With Nature Contact in Parks and Other Forms of Protected Areas: Protocol for a Scoping Review (Preprint)
Bibliographic record
Abstract
BACKGROUND Growing evidence shows various health and well-being benefits from nature contact in parks and other forms of protected areas. However, the methods to measure these outcomes lack systematic identification, critical appraisal, and synthesis. Researchers working in this area would benefit from a clear framework highlighting key considerations when selecting measurement tools, along with a summary of the measures used, and insights into the limitations of generalizing existing research findings. OBJECTIVE The objectives of this scoping review are 2-fold. First, we aim to identify the instruments used to measure mental health and well-being outcomes of adults associated with direct nature contact in parks and other forms of protected areas. Second, we aim to evaluate the psychometric properties associated with the validity of these instruments to better understand the strengths and weaknesses of current measurement approaches. METHODS Following PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines, 8 scholarly databases were searched (PubMed, Web of Science, PsycINFO [via ProQuest], ERIC [via EBSCOhost], CINAHL [via EBSCOhost], GreenFILE [via EBSCOhost], OVID, and GEOBASE) on January 4, 2023, for literature measuring the mental health and well-being outcomes associated with nature contact in protected areas. Sources were screened by reviewers based on clear inclusion or exclusion criteria relevant to the research questions: peer-reviewed English language studies measuring mental health and well-being focused on adults (aged 18+ years) with direct, in-person nature contact in parks and protected areas. Data will be extracted, analyzed, and represented according to 3 domains. This includes study details, characteristics of the measurement instruments, and their validity. RESULTS The results of the study and submission of a manuscript for peer review are expected in April 2025. The results of the scoping review are expected to contribute to an understanding of the diverse methods used to measure mental health and well-being related to nature contact in protected areas. Expected findings will include an organized summary of existing quantitative and qualitative instruments for measuring mental health and well-being outcomes, including appraisal of the instrument’s psychometric properties. CONCLUSIONS To the authors’ knowledge, this will be the first scoping review undertaken on measures used to assess mental health and well-being outcomes related to nature contact in parks and protected areas context, offering a starting point from which to critically examine the validity and consistency of such methods. Findings will aid in identifying the strengths and weaknesses of current measurement approaches to mental health and well-being outcomes of nature contact and may be used to guide future research on this topic, helping researchers choose the best tool to assess outcomes. CLINICALTRIAL INTERNATIONAL REGISTERED REPORT DERR1-10.2196/63338
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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 | 0.088 | 0.106 |
| Meta-epidemiology (narrow) | 0.005 | 0.006 |
| Meta-epidemiology (broad) | 0.012 | 0.016 |
| Bibliometrics | 0.013 | 0.012 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.005 | 0.007 |
| Research integrity | 0.008 | 0.007 |
| Insufficient payload (model declined to judge) | 0.123 | 0.026 |
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".