
A large and rapidly expanding research literature links exposure to natural environments (e.g., forests, parks, gardens, “greener” neighborhoods) with benefits...
世の中は
つゆの世ながら
さりながら
"A world of dew,
And within every dewdrop
A world of struggle." - Kobayashi Issa
森の心・人の心
Journey Through Life With the Wisdom of the Forest
森の心・人の心
Journey Through Life With the Wisdom of the Forest
A large and rapidly expanding research literature links exposure to natural environments (e.g., forests, parks, gardens, “greener” neighborhoods) with benefits across mental health, cognitive function, cardiometabolic risk, sleep, and—under some conditions—immune function. Evidence comes from experimental studies (including forest-vs-urban comparisons), observational cohorts using greenness indices (e.g., NDVI), and emerging natural experiments and trials. Overall, findings are most consistent for stress physiology and affective outcomes, with growing support for cognitive and brain-based endpoints and for longer-term psychiatric and cardiovascular outcomes. However, key limitations remain: heterogeneity in how “nature exposure” is measured, inconsistent reporting of dose (frequency × duration × quality), and uneven representation of children, adolescents, and historically marginalized populations. This article synthesizes the evidence, clarifies mechanisms, and translates research into practical guidance for Forest Bathing Guides and policymakers.
Modern life changed the baseline conditions under which human nervous systems evolved: dense urbanicity, chronic attentional demand, noise, heat, and air pollution. The public-health question is no longer whether nature is “nice,” but whether it is measurably protective—and under what conditions.
Two classic frameworks still organize much of this research:
Below
| Theory | Primary Proponents | Core Assumption | Primary System Affected | Key Mechanism | Typical Outcomes Observed | Type of Supporting Evidence |
|---|---|---|---|---|---|---|
| Stress Reduction Theory (SRT) | Roger Ulrich | Humans possess an evolutionarily shaped positive affective response to natural environments that facilitates rapid stress recovery. | Autonomic nervous system; endocrine stress pathways (HPA axis) | Downshifting of sympathetic activation and enhancement of parasympathetic tone in low-threat natural settings | ↓ heart rate; ↓ blood pressure; ↓ perceived stress; often ↓ cortisol; improved affective state | Experimental forest vs. urban comparisons; psychophysiological field studies; laboratory exposure paradigms |
| Attention Restoration Theory (ART) | Rachel Kaplan & Stephen Kaplan | Directed attention becomes fatigued in cognitively demanding environments and can be restored through exposure to natural settings characterized by “soft fascination.” | Executive attention networks; cognitive control systems | Reduced cognitive load combined with involuntary attention engagement (“soft fascination”), enabling restoration of directed attention capacity | ↑ attention performance; ↓ mental fatigue; ↑ perceived restorativeness; improved cognitive clarity | Experimental attention-task studies; field experiments; self-report restorativeness measures |
One reason findings can look inconsistent is that “nature exposure” is operationalized in different ways:
Quantity of greenness near home/school: NDVI, tree canopy, land-cover classifications
Access/proximity: distance to parks/forests, density of green spaces.
Actual time in nature (“dose”): minutes per week, visit frequency, GPS-based tracking
Quality: biodiversity, maintenance, perceived safety, amenities, soundscape
A widely cited dose study suggests that ~120 minutes/week of recreational nature contact is associated with higher likelihood of reporting good health and well-being, with benefits rising up to a point (often reported around ~200–300 minutes/week) before plateauing.
| Outcome domain | What tends to improve | Strongest evidence designs | Common exposure measures | Plausible pathways | Notes / limitations |
|---|---|---|---|---|---|
| Stress physiology | lower BP, lower HR, shifts toward parasympathetic activity; cortisol often decreases | forest vs city field experiments; systematic reviews | forest walks/“viewing,” short sessions | autonomic regulation; HPA-axis modulation | cortisol is diurnal; timing and sampling matter |
| Mood, anxiety, depression | reduced negative affect/rumination; lower depression/anxiety risk in greener contexts | meta-analyses; experiments; cohorts | NDVI, park access, intervention participation | stress reduction; emotion regulation; social buffering | heterogeneity in populations & measures; causality stronger in trials/meta-analyses |
| Cognitive function | improved attention/executive function; reduced mental fatigue | experiments; school/learning studies; reviews | brief nature exposure; greenness around schools | ART/attention restoration; reduced cognitive load | exposure “quality” may matter as much as quantity |
| Brain structure/function | reduced rumination-linked neural activity; plasticity signals in emotion-regulation circuits | neuroimaging experiments/longitudinal MRI | nature walk vs urban; time outdoors | emotion regulation circuitry; stress/rumination loops | neuroimaging studies often small; growing but still emerging |
| Physical activity | higher likelihood of meeting activity guidelines | observational studies; GPS/accelerometry | proximity/access; time outdoors | opportunity + motivation; enjoyable movement | green space may enable activity but doesn’t guarantee it |
| Sleep | often better duration/quality (adults); mixed in youth | systematic reviews; surveys | canopy/greenness; access | noise buffering; stress reduction; temperature regulation | evidence in children/adolescents is thinner and mixed |
| Cardiovascular risk & mortality | lower CVD incidence/mortality in greener areas | longitudinal cohorts | NDVI, tree canopy | BP/stress pathways; activity; pollution mitigation | confounding is a challenge; stronger designs are accumulating |
| Immune function (forest bathing context) | signals of enhanced NK activity reported in some studies | forest-therapy trials; mechanistic studies | multi-day forest trips; forest exposure | stress hormone reduction; BVOCs/phytoncides hypotheses | promising but variable; protocols differ across studies |
Experimental studies matter because they manipulate the environment (nature vs. urban) and observe what changes after exposure. That design reduces (though never fully eliminates) the “self-selection” problem: people who already feel well may be more likely to spend time in green spaces. What these studies show, again and again, is an acute “state shift”: within minutes to a couple of hours, many people move toward a profile consistent with lower stress load, improved affect regulation, and restored attention, especially when the comparison condition is traffic-dense, noisy, or visually complex urban space.
One of the most influential demonstrations comes from a study comparing a 90-minute walk in a natural setting vs. an urban setting. Participants in the nature condition reported reduced rumination (repetitive, self-focused negative thinking), and brain activity changed in a region often implicated in depression-linked thought patterns (subgenual prefrontal cortex). In plain language: nature did not just “feel better,” it shifted a cognitive-emotional loop that predicts poorer mental health.
Why this is important for Shinrin-Yoku practice:
Rumination is not simply “thinking too much.” It is often sticky, involuntary, and physiologically activating.
The finding supports what guides often observe: once the mind stops recycling a problem story, the body can soften, perception widens, and participants become more available to sensory contact and meaning-making.
Practical translation into session design:
Start with external anchoring (sound, texture, temperature, light) before deep reflection invitations.
Keep walking pace gentle and allow attention to “land” repeatedly (short stops help).
Avoid early invitations that intensify self-evaluation (e.g., “What’s wrong with your life?”) until the nervous system has downshifted.
A large proportion of experimental “forest vs. city” research measures autonomic physiology: what the nervous system is doing in real time.
Common findings after brief forest exposure (often 15–60 minutes, sometimes longer):
Lower systolic/diastolic blood pressure
Lower pulse rate
Shifts in autonomic balance consistent with increased parasympathetic activity (rest-and-digest) and/or reduced sympathetic drive (fight-or-flight)
Improved self-reported calm, comfort, and vitality
This pattern fits a core idea: nature exposure can act like a down-regulating context—especially when sensory load is softer and perceived threat is lower.
Cortisol is popular because it is a biological stress marker, but it’s also a finicky one:
It follows a strong diurnal rhythm (high in the morning, declining across the day).
It is sensitive to food intake, caffeine, exercise intensity, sleep, menstrual cycle, medications, and even the stress of being measured.
“Before vs. after” sampling without strict timing control can produce mixed outcomes even when participants clearly feel calmer.
So when cortisol doesn’t change, it doesn’t automatically mean “nature didn’t work.” It may mean the measurement design wasn’t tight enough, or the outcome window was too short, or the participant started at a low baseline.
| Experimental focus | Typical “brief exposure” design | Key outcome measures | Usual direction after nature exposure (vs. urban) | Methodological pitfalls (why findings vary) | What this means for guides |
|---|---|---|---|---|---|
| Rumination & depression-linked processing | 60–90 min walk in nature vs. urban; sometimes with questionnaires + neuroimaging | Rumination scales; fMRI activity in emotion-regulation networks | ↓ rumination; neural activity shifts consistent with reduced maladaptive self-focus | Small samples; individual differences (baseline stress/trait rumination); setting quality | Use early invitations that externalize attention and reduce self-judgment; allow gentle movement + pauses |
| Autonomic regulation | 15–60 min sitting/walking; nature vs. city; sometimes cross-over | HR, BP; HRV; sympathetic/parasympathetic indices | ↓ HR, ↓ BP; HRV often improves | Temperature, noise, terrain, pace; talking/social interaction; caffeine; prior exertion | Pace the session for physiological settling: slower transitions, quieter stops, fewer instructions once settled |
| Endocrine stress (cortisol) | Pre/post saliva cortisol around nature vs. urban exposure | Salivary cortisol | Often ↓ cortisol, but not always | Diurnal rhythm; food/caffeine; sampling timing; baseline variability; lab/field constraints | Don’t “sell” cortisol as guaranteed. If measuring, standardize time-of-day and pre-session behaviors |
| Subjective stress & affect | Nature vs. urban exposure; questionnaires before/after | Perceived stress; mood/affect scales; restorativeness | ↓ perceived stress; ↑ positive affect; ↓ negative affect | Expectancy effects; novelty; group dynamics; weather | Pair physiological pacing with simple language—people often report benefits even when biomarkers are mixed |
| Cognitive restoration | Short exposure + attention tasks | Attention/executive function tasks; perceived restorativeness | ↑ attention performance; ↑ restorativeness | Practice effects; task choice; distractions; insufficient “dose” | Build in quiet absorption periods; reduce cognitive demand (less teaching, more sensing) |
If experimental studies show us what happens after a walk, observational research asks a different question: What happens when people live for years in greener—or less green—environments?
These studies use large population datasets, sometimes tracking hundreds of thousands (or even millions) of individuals across time. They cannot randomize people to neighborhoods, but they can examine patterns that unfold across years, including:
Because they capture real-world living conditions, observational studies are crucial for public health and urban policy.
The 2021 narrative review synthesizing recent literature reports a consistent pattern:
Higher residential greenness is associated with lower risk of depressive symptoms and certain psychiatric outcomes, especially in longitudinal studies where exposure precedes diagnosis.
Key themes emerging from this body of work:
Childhood exposure matters. Several large cohort studies suggest that sustained exposure to green space during childhood is associated with lower risk of psychiatric disorders later in life. This supports a life-course perspective: early environmental conditions may shape stress reactivity, cognitive development, and emotional regulation.
Urban density modifies effects. Protective associations are often stronger in densely populated urban environments, where green space may represent a greater contrast to baseline stressors (noise, crowding, heat, pollution).
Dose and continuity matter. It is not only whether green space is present, but whether exposure is sustained over time.
However, variability across age groups, countries, and measurement approaches reminds us that greenness is not a uniform exposure—it interacts with culture, safety, walkability, and social cohesion.
A 2023 meta-analysis integrating multiple studies strengthens the case that higher green space exposure is associated with lower depression and anxiety outcomes.
Meta-analyses are important because they:
Pool results across many independent samples
Increase statistical power
Identify consistent patterns despite methodological differences
The overall signal supports green space as a population-level preventive factor rather than only an individual-level wellness tool. In other words: Green space is not just therapeutic. It may be infrastructural prevention. This reframes nature not as luxury, but as part of the public health system.
One of the most important developments in the field concerns health equity.
A 2024 PRISMA-based review focusing on disadvantaged groups suggests that green space exposure can have protective mental-health effects, and in some contexts may disproportionately benefit populations facing socioeconomic adversity.
This idea is sometimes described as the equigenic effect of green space:
Green environments may help reduce health inequalities rather than widen them.
However, two crucial nuances emerge:
Access is uneven. Disadvantaged communities often have less access to safe, high-quality green space.
Quality may matter more than proximity. A poorly maintained, unsafe park may not confer benefits—and may even produce stress.
This shifts the question from:
“Is there a park nearby?”
to: “Is the green space safe, biodiverse, welcoming, culturally relevant, and accessible?”
| Dimension | What large studies typically examine | General pattern observed | Moderators / Modifiers | Policy implications |
|---|---|---|---|---|
| Depression incidence | Residential greenness (NDVI, canopy cover) over years | Lower risk of depressive symptoms and some psychiatric diagnoses in greener areas | Urban density, age, SES, duration of exposure | Protect and expand urban tree canopy; integrate green space into planning |
| Anxiety outcomes | Self-reported anxiety, clinical diagnoses | Often inverse association with green exposure | Perceived safety, neighborhood cohesion | Design green spaces that support calm, safety, and social use |
| Childhood exposure | Greenness during early life | Lower psychiatric risk later in life in some cohorts | Stability of residence; cumulative exposure | Prioritize green infrastructure near schools and residential areas |
| Socioeconomic status (SES) | Income deprivation vs. green exposure | In some contexts, stronger protective effects in lower SES groups | Quality of space; accessibility; cultural fit | Prevent “green gentrification”; ensure equitable distribution |
| Green space quality | Maintenance, biodiversity, amenities | Higher quality often linked with stronger mental-health benefits | Safety, noise levels, crowding | Invest in quality, not only quantity |
| Mortality & chronic disease | Longitudinal follow-up of large cohorts | Often lower all-cause mortality in greener areas | Air pollution, walkability, lifestyle | Integrate green planning into climate & public health policy |
Observational research cannot fully eliminate confounding. For example:
Healthier individuals may move to greener areas.
Greener areas may also differ in income, healthcare access, or education.
NDVI measures vegetation density, but not subjective experience of nature.
However, newer designs are improving causal inference:
Longitudinal follow-up
Natural experiments (e.g., greening vacant lots)
Within-family or twin comparisons
Fine-scale satellite and street-level imagery
The direction of evidence across multiple countries increasingly points in the same direction:Living in greener environments is associated with better mental health outcomes over time.
For practitioners and educators, this observational evidence offers an important reframing:
Shinrin-Yoku sessions are powerful, but chronic exposure patterns shape population health.
Advocacy for green infrastructure may be as important as individual guidance.
Equity must be central—otherwise, green space can inadvertently drive displacement (“green gentrification”).
In practical terms:
Support community-based green initiatives in underserved neighborhoods.
Teach participants to see green space not only as therapy, but as civic right.
Integrate research literacy into guide training so that practitioners understand both strengths and limits of current evidence.
When we ask whether nature “works,” the more scientifically precise question is:
Through which biological, psychological, and social pathways does nature exposure influence health?
It is rarely a single mechanism. Current models assume stacked, interacting pathways, where physiological regulation, cognition, emotion, behavior, and environment reinforce one another over time. Below, we expand each pathway and then synthesize them into an integrative framework.
(Stress Reduction Theory – SRT)
Stress Reduction Theory proposes that natural environments facilitate a shift from sympathetic activation (“fight-or-flight”) toward parasympathetic dominance (“rest-and-digest”).
After brief exposure to forests or green environments, experimental studies frequently observe:
↓ Heart rate
↓ Blood pressure
↑ Heart rate variability (HRV) in some designs
Reduced subjective stress
Often ↓ cortisol (with methodological caveats)
These markers reflect changes in:
Autonomic nervous system balance
Hypothalamic–pituitary–adrenal (HPA) axis activity
Vagal tone (linked to emotional regulation and resilience)
This suggests that natural environments may act as low-threat sensory fields that reduce vigilance demands and allow physiological settling.
Importantly, this is not merely relaxation—it is bioregulatory recalibration.
(Attention Restoration Theory – ART)
Modern environments place sustained demands on directed attention—traffic signals, screens, multitasking, social evaluation. This leads to attentional fatigue.
ART proposes that natural environments provide:
Soft fascination (e.g., rustling leaves, flowing water, shifting light)
A sense of “being away”
Coherence without overload
This allows executive control systems to recover.
Improved attention task performance
Reduced mental fatigue
Greater perceived restorativeness
Cognitive restoration may indirectly improve emotional regulation, since attentional capacity is required to disengage from intrusive thoughts.
Beyond general stress reduction, neuroimaging research suggests that nature exposure may alter activity in brain regions associated with maladaptive self-focused thought patterns (e.g., rumination).
Rumination is linked to:
Depression risk
Anxiety persistence
Chronic stress activation
Nature walks have been associated with:
↓ Self-reported rumination
Changes in subgenual prefrontal cortex activity (a depression-relevant region)
This suggests that nature may interrupt repetitive negative self-referential processing, allowing emotional experience to become more dynamic and less sticky.
From a mechanistic perspective, this connects:
Physiological calming
Cognitive widening
Reduced self-focused looping
These layers likely reinforce one another.
Nature exposure does not operate only through direct physiological shifts.
Green infrastructure often enables:
↑ Physical activity (walking, cycling, play)
↑ Social contact and community cohesion
↓ Sedentary time
Exposure to daylight (circadian regulation)
Routine formation (habitual walking patterns)
Physical activity alone is associated with:
Reduced depression risk
Improved cardiometabolic health
Enhanced neuroplasticity
Social connection buffers stress through oxytocin and other neurobiological pathways.
Thus, nature can influence health indirectly by changing behavioral opportunity structures.
This is why urban design matters: access shapes behavior, and behavior shapes biology.
Natural environments can also act as protective buffers against environmental stressors:
Urban trees reduce surface temperature (heat mitigation)
Vegetation can attenuate noise (context-dependent)
Green spaces may reduce exposure to certain pollutants
Shade reduces UV stress (though pollen exposure may increase allergy risk in some contexts)
These effects are highly location-specific but can meaningfully influence:
Cardiovascular stress
Sleep quality
Respiratory health
Heat-related morbidity
In this pathway, nature reduces external stress load, which in turn reduces internal physiological burden.
| Mechanism | Primary System Affected | Immediate Effects | Downstream Health Impacts | Evidence Strength | Key Moderators |
|---|---|---|---|---|---|
| Nervous system regulation (SRT) | Autonomic nervous system; HPA axis | ↓ HR, ↓ BP, ↑ parasympathetic activity | Reduced chronic stress load; cardiometabolic protection | Strong (experimental support) | Baseline stress; exposure duration; environment quality |
| Cognitive restoration (ART) | Executive attention networks | ↑ Attention performance; ↓ mental fatigue | Better task performance; improved emotional regulation | Moderate–Strong | Cognitive demand prior to exposure; age; context |
| Emotion regulation & rumination | Prefrontal-limbic circuitry | ↓ Rumination; altered depression-linked neural activity | Lower depression risk; improved affect stability | Emerging but compelling | Trait rumination; duration; solitude vs. social setting |
| Behavioral pathways | Physical activity systems; social networks | ↑ Movement; ↑ social interaction; circadian exposure | Reduced depression; improved metabolic health | Strong (observational) | Accessibility; safety; amenities |
| Environmental buffering | Cardiovascular & respiratory systems | ↓ Heat load; ↓ noise (context); pollutant mitigation | Lower cardiovascular risk; improved sleep | Context-dependent | Urban density; species composition; design |
These mechanisms rarely operate in isolation.
For example:
A shaded park reduces heat load (environmental buffering).
Lower heat improves autonomic comfort (nervous system regulation).
Reduced vigilance allows attention to widen (cognitive restoration).
Reduced rumination enhances emotional flexibility.
Feeling safer and calmer increases likelihood of returning (behavioral reinforcement).
Over time, repetition of these cycles may contribute to:
Lower allostatic load
Greater emotional resilience
Reduced psychiatric risk
Improved cardiometabolic health
This is why even small acute shifts, when repeated, may scale into long-term outcomes observed in population studie
How to read it: nature exposure starts at Level 1 (context) and “stacks” upward through physiology, attention/emotion, behavior, and ultimately long-term health outcomes.
Despite thousands of publications linking nature exposure to health, the field is still methodologically young. The signal is increasingly consistent — but the structure of evidence remains uneven. Below are the major scientific “knots” that researchers, policymakers, and practitioners must address if the field is to mature from promising to definitive.
(NDVI vs. time vs. quality vs. perception)
One of the most persistent challenges is defining what “nature exposure” actually means.
Studies measure exposure in different ways:
NDVI (Normalized Difference Vegetation Index): satellite-derived greenness around residential address
Tree canopy density
Distance to nearest park
Number of green spaces within radius
Self-reported time spent outdoors
GPS-tracked minutes in green space
Participation in structured interventions
Perceived access or satisfaction
Each of these captures a different aspect of exposure:
| Metric | What it captures | What it misses |
|---|---|---|
| NDVI | Vegetation density | Safety, biodiversity, subjective experience |
| Park proximity | Physical access | Whether the park is used |
| Time outdoors | Behavioral dose | Environmental quality |
| Self-report | Subjective meaning | Objective accuracy |
| GPS tracking | Actual movement | Sensory quality & context |
Because exposure is operationalized differently across studies:
Dose-response relationships are difficult to compare.
Thresholds (e.g., “how much nature is enough?”) remain unclear.
Cross-study synthesis is complicated.
The field needs standardized exposure frameworks that integrate:
Quantity
Quality
Duration
Frequency
Perceived experience
Without harmonization, evidence accumulation remains fragmented.
Not all green space is equal. Two neighborhoods may have identical NDVI values but radically different lived experiences:
One park is biodiverse, shaded, quiet, and safe.
The other is poorly maintained, noisy, and perceived as unsafe.
Most large epidemiological studies do not measure:
Biodiversity richness
Tree species diversity
Acoustic environment (natural vs mechanical sound)
Perceived safety
Lighting
Cultural relevance
Accessibility for mobility impairments
Age-friendly design
These factors may determine whether nature exposure is:
Regulating
Neutral
Or even stress-inducing
There is growing recognition that quality may moderate effect size more strongly than simple proximity.
Future research must integrate:
Biodiversity indices
Soundscape metrics
Accessibility scoring
Participatory community perception data
Otherwise, “green space” remains an overly blunt variable.
While observational studies increasingly examine childhood exposure, experimental studies disproportionately focus on adults.
This creates several gaps:
Do children show similar autonomic responses?
Are attention restoration effects stronger during developmental windows?
Is there a sensitive period for environmental embedding?
Does early-life nature exposure shape stress reactivity trajectories?
Children’s nervous systems are:
More plastic
More environmentally sensitive
More socially embedded
Yet rigorous randomized designs in youth remain relatively sparse. Given emerging evidence suggesting childhood green exposure predicts adult psychiatric outcomes, this gap is significant. Longitudinal, developmentally informed designs are urgently needed.
The term “nature-based intervention” (NBI) includes an extremely broad range of activities:
Guided forest bathing
Urban park walking
Gardening programs
Green exercise
Wilderness therapy
Ecotherapy
Horticultural therapy
Outdoor mindfulness
Green prescriptions
Park prescription programs
These interventions vary in:
Intensity
Duration
Social structure
Therapeutic framing
Population served
Environmental context
As a result:
Meta-analyses often combine non-equivalent interventions.
Mechanisms become blurred.
Effect sizes vary widely.
Replication becomes difficult.
For example:
A three-day immersive forest therapy retreat is biologically and psychologically different from:
A 10-minute lunch break in a park.
A 12-week horticultural program.
A wilderness therapy expedition for at-risk youth.
Yet all may be coded as “nature-based.”
The field would benefit from:
Clear taxonomy of intervention types.
Mechanism-specific classification.
Standard reporting guidelines.
Core outcome sets for comparability.
Even in large longitudinal datasets, challenges remain:
Healthier individuals may move to greener areas.
Socioeconomic status correlates with greenness.
Healthcare access differs across neighborhoods.
Cultural attitudes toward outdoor time vary.
Some studies attempt to address this using:
Within-twin designs
Natural experiments (e.g., greening vacant lots)
Longitudinal migration analysis
But causal inference is still developing.
Stronger quasi-experimental and randomized urban planning studies are needed.
We still lack clarity on:
Minimum effective dose
Optimal frequency
Saturation effects
Diminishing returns
Interaction with age
Interaction with baseline stress level
Is:
10 minutes daily better than 120 minutes once weekly?
Does biodiversity amplify effect?
Does repeated micro-exposure outperform infrequent immersion?
Without standardized dosing frameworks, clinical prescription models remain preliminary.
Most mechanistic studies focus on:
Heart rate
Blood pressure
Cortisol
Self-report mood
Less frequently measured:
Inflammatory markers
Immune modulation
Epigenetic change
Long-term autonomic flexibility
Network-level brain plasticity
The mechanistic depth of the field lags behind its epidemiological breadth.
| Gap | Why It Matters | What Is Needed |
|---|---|---|
| Inconsistent exposure measurement | Hard to compare studies | Standardized multi-dimensional exposure framework |
| Under-measured quality & safety | Greenness ≠ health benefit | Biodiversity, soundscape, accessibility metrics |
| Youth underrepresentation | Developmental sensitivity unclear | Longitudinal pediatric trials |
| Intervention heterogeneity | Mechanisms blurred | Clear taxonomy of NBI types |
| Causality challenges | Confounding persists | Natural experiments, randomized urban greening |
| Dose-response ambiguity | No clear prescription guidelines | Harmonized dosing research |
| Limited mechanistic depth | Biological embedding unclear | Multisystem biomarker integration |
Jimenez MP, DeVille NV, Elliott EG, et al. Associations between Nature Exposure and Health: A Review of the Evidence. (2021).
White MP, Alcock I, Grellier J, et al. Spending at least 120 minutes a week in nature is associated with good health and wellbeing. (2019).
Bratman GN, Hamilton JP, Hahn KS, Daily GC, Gross JJ. Nature experience reduces rumination and subgenual prefrontal cortex activation. (2015).
Park BJ, Tsunetsugu Y, Kasetani T, et al. Forest vs city field experiments showing autonomic and cortisol differences. (2010).
Liu Z, et al. Meta-analysis on green space exposure and depression/anxiety outcomes. (2023).
Xian Z, et al. PRISMA review on neighborhood green space and disadvantaged groups’ mental health. (2024).
Kaleta B, et al. Nature-based interventions: a systematic review of reviews. (2025).

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