Greenness and hospital admissions for cause specific mental disorders: multicountry time series study

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dc.coverageDOI: 10.1136/bmj-2025-084618
dc.creatorYe, Tingting
dc.creatorHuang, Wenzhong
dc.creatorXu, Zhihu
dc.creatorXu, Rongbin
dc.creatorYu, Pei
dc.creatorWu, Yao
dc.creatorZhang, Yiwen
dc.creatorYu, Wenhua
dc.creatorLiu, Yanming
dc.creatorWen, Bo
dc.creatorJu, Ke
dc.creatorYang, Zhengyu
dc.creatorZhou, Shuang
dc.creatorHundessa, Samuel
dc.creatorHales, Simon
dc.creatorLavigne, Eric
dc.creatorMatus, Patricia
dc.creatorTantrakarnapa, Kraichat
dc.creatorKim, Ho
dc.creatorde Sousa Zanotti Stagliorio Coelho, Micheline
dc.creatorSaldiva, Paulo
dc.creatorGuo, Yuming
dc.creatorLi, Shanshan
dc.date2025
dc.date.accessioned2026-01-05T21:18:44Z
dc.date.available2026-01-05T21:18:44Z
dc.description<p>Objectives To examine the association between exposure to greenness and hospital admissions for mental disorders, and to estimate greenness related hospital admissions under various greenness intervention scenarios. Design Multicountry time series study. Setting 6842 locations in seven countries (Australia, Brazil, Canada, Chile, New Zealand, South Korea, and Thailand). Participants 11.4 million hospital admissions for mental disorders, 2000-19. Main outcome measures Hospital admissions for all cause mental disorders and for six categories in relation to greenness (measured by the normalised difference vegetation index (NDVI)): psychotic disorders, substance use disorders, mood disorders, behavioural disorders, dementia, and anxiety. Associations were estimated using quasi-Poisson regression models, controlled for weather conditions, air pollutants, socioeconomic indicators, seasonality, and long term trends. Models were stratified by sex, age, urbanisation, and season. Hospital admissions were estimated under different greenness intervention scenarios. Results During 2000-19, of hospital admissions related to mental health disorders, 30.8% (3522749 patients) were for psychotic disorders, 24.7% (2821860) for substance use disorders, 11.6% (1325305) for mood disorders, 7.4% (845561) for behavioural disorders, 3.0% (348149) for dementia, and 2.5% (283914) for anxiety. A 0.1 increase in NDVI was associated with a 7% reduction in the risk of hospital admissions for all cause mental disorders (relative risk 0.93, 95% confidence interval (CI) 0.89 to 0.98) in pooled analyses. However, associations varied across countries and disorder types. Brazil, Chile, and Thailand showed consistent protective associations across most disorder categories, while modest adverse (ie, harmful) associations were observed in Australia and Canada for hospital admissions for all cause mental disorders and for several specific disorder categories. Exposure-response analyses showed a generally monotonic and approximately linear relation without clear thresholds. When limited to urban settings where associations were generally more consistent, an estimated 7712 (95% CI 6701 to 8726) hospital admissions for mental health disorders annually in urban areas were statistically attributable to observed greenness levels. Analysis by greenness intervention scenarios in urban areas suggested that a 10% increase in greenness was associated with reductions in hospital admissions for mental disorders ranging from ~1 per 100000 in South Korea to ~1000 per 100000 in New Zealand. Conclusions Greenness was statistically associated with lower risks of hospital admissions for mental disorders in several countries, particularly in urban settings. Some adverse associations were, however, observed, and findings were heterogeneous across contexts.</p>eng
dc.identifierhttps://investigadores.uandes.cl/en/publications/1f7ab379-4ad2-407b-aad1-35c79ebde7c4
dc.identifier.urihttps://repositorio.uandes.cl/handle/uandes/68172
dc.languageeng
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourcevol.391 (2025) date: 2025-11-05
dc.subjectSDG 3 - Good Health and Well-being
dc.subjectSDG 11 - Sustainable Cities and Communities
dc.titleGreenness and hospital admissions for cause specific mental disorders: multicountry time series studyeng
dc.typeArticleeng
dc.typeArtículospa
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