ArticleEnvironment international2025
Greenspace and depression incidence in the US-based nationwide Nurses' Health Study II: A deep learning analysis of street-view imagery.
Article in Environment international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Climate, Health, and Urban Green Infrastructure: The Evidence Base and Implications for Urban Policy and Spatial Planning.International journal of environmental research and public health · 2025Pooled it
- Streetview greenspace types and dementia risk in older adults: the Multi-Ethnic Study of Atherosclerosis.American journal of epidemiology · 2026Article
- Street view-based exposure to greenspace and mortality: the Multi-Ethnic Study of Atherosclerosis.Environment international · 2026Article
- Urban greenspace and dementia: Measures, mechanisms, and methodological guidance.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Review
- Residential greenness and depressive symptoms in the Mexican adult population: A cross-sectional study.Preventive medicine reports · 2026Article
- A study on the coupling mechanism between the urban environment and depression perception based on deep learning and street view image.Scientific reports · 2026Article
- Expert perspectives on exposure-response functions for urban health policy: Lessons from a UBDPolicy workshop.Environmental research · 2026Review
- Street view-derived city built environment and vulnerability to temperature extremes: a nationally representative population-based cohort study.BMC medicine · 2025Article
- Street-view greenspace distribution across racial/ethnic, neighborhood income, and individual education subgroups.Environmental epidemiology (Philadelphia, Pa.) · 2025Article
- Harnessing Geospatial Artificial Intelligence (GeoAI) for Environmental Epidemiology: A Narrative Review.Current environmental health reports · 2025Review
- Developing Nationwide Estimates of Built Environment Quality Characteristics Using Street-View Imagery and Computer Vision.Environmental science & technology · 2025Article
- GPS-based street-view greenspace exposure and wearable assessed physical activity in a prospective cohort of US women.The international journal of behavioral nutrition and physical activity · 2025Article
- Associations of street-view greenspace exposure with cardiovascular health (Life's Essential 8) among women in midlife.Biology of sex differences · 2025Article
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
backgroundGreenspace exposure is associated with lower depression risk. However, most studies have measured greenspace exposure using satellite-based vegetation indices, leading to potential exposure misclassification and limited policy relevance. We examined the association of street-view greenspace measures with incident depression in a prospective cohort of US women.
methodsWe applied deep learning segmentation models to 350 million US street-view images nationwide (2007-2020) to derive ground-level greenspace metrics, including percentage of trees, grass, and other greenspace (plants/flowers/fields), and linked metrics to Nurses' Health Study II participants' residences (N = 33,490) within 500 m each year. Cox proportional hazards models estimated the relationship between street-view greenspace metrics and incident depression, assessed through self-report of clinician-diagnosed depression or regular antidepressant use and adjusted for individual- and area-level factors.
findingsIn adjusted models, higher percentages of street-view trees were inversely associated with incident depression (HR per IQR, 0.98; 95%CI: 0.94-1.01) and specifically clinician-diagnosed depression (HR per IQR, 0.94; 95%CI: 0.90-0.99). Higher percentages of street-view grass were also inversely associated with incident depression, but only in areas with low particulate matter (PM CONCLUSION AND RELEVANCE: We observed participants who lived in areas with more trees visible in street-view images had a lower risk of depression. Our findings suggest tree-planting interventions may reduce depression risk.
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