Literature review of human interactions with urban nature and their mental health associations
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This review explores the mental health benefits of human-nature interactions in urban areas. Considering increasing mental health concerns in cities, nature offers a widely available intervention to enhance well-being across diverse populations. We conceptualize nature interactions as behavior that occurs in/relates to a natural environment within a certain time frame, and examine associated mental health effects. Utilizing a structured literature search across multiple databases, we included English-language papers on working-age urban adults ( n = 223). Our findings reveal gaps in the types of nature interactions studied, with research concentrated on limited behaviors while many culturally important activities remain underexplored. Despite overall positive effects on mental health, the diversity of methodological approaches makes it challenging to formulate specific recommendations. This review underscores the complexity of prescribing nature doses and calls for more inclusive research that considers broader populations and cultural contexts to support mental health outcomes for all urban dwellers.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it