Greenness and hospital admissions for cause specific mental disorders: multicountry time series study
Issued Date
2025-11-05
Resource Type
eISSN
17561833
Scopus ID
2-s2.0-105020993219
Pubmed ID
41193238
Journal Title
BMJ Clinical Research Ed
Volume
391
Rights Holder(s)
SCOPUS
Bibliographic Citation
BMJ Clinical Research Ed Vol.391 (2025) , e084618
Suggested Citation
Ye T., Huang W., Xu Z., Xu R., Yu P., Wu Y., Zhang Y., Yu W., Liu Y., Wen B., Ju K., Yang Z., Zhou S., Hundessa S., Hales S., Lavigne E., Matus P., Tantrakarnapa K., Kim H., de Sousa Zanotti Stagliorio Coelho M., Saldiva P., Guo Y., Li S. Greenness and hospital admissions for cause specific mental disorders: multicountry time series study. BMJ Clinical Research Ed Vol.391 (2025) , e084618. doi:10.1136/bmj-2025-084618 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/113069
Title
Greenness and hospital admissions for cause specific mental disorders: multicountry time series study
Corresponding Author(s)
Other Contributor(s)
Abstract
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% (3 522 749 patients) were for psychotic disorders, 24.7% (2 821 860) for substance use disorders, 11.6% (1 325 305) for mood disorders, 7.4% (845 561) for behavioural disorders, 3.0% (348 149) for dementia, and 2.5% (283 914) 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 100 000 in South Korea to ~1000 per 100 000 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.