Exploring the Potential Relationship Between Global Greenness and Daly Loss Due to Depressive Disorders
Bibliographic Data
| ID | 15522754 |
|---|---|
| Authors | Aji Kusumaning Asri (National Cheng Kung University), Hui-Ju Tsai (0009-0003-9690-8418), Hui‐ju Tsai (0000-0002-5338-6117, National Health Research Institutes), Wen‐Chi Pan (0000-0002-0588-8083, National Yang Ming Chiao Tung University), Yue Leon Guo (0000-0002-8530-4809, National Health Research Institutes), Chia-Pin Yu (0000-0002-7099-4026, National Taiwan University), Chi-Shin Wu (0000-0003-2762-7295, National Health Research Institutes), Huey-Jen Su, Huey‐Jen Su (0000-0003-3589-9987, National Taiwan University), Shih-Chun Candice Lung, Shih‐Chun Candice Lung (0000-0002-4227-0469, National Health Research Institutes), Chih‐Da Wu (0000-0001-9720-7937, Harvard University, corresponding author), John D Spengler (0000-0003-2569-091X, Harvard University) |
| Year | 2022 |
| Volume | 13 |
| Publication date | 2022-06-28 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Psychiatry (JOURNAL) |
| Journal identifiers | ISSN: 1664-0640 • E-ISSN: 1664-0640 |
| Publisher | Frontiers Media (PUBLISHER • CH) |
| DOI | 10.3389/fpsyt.2022.919892 |
| OpenAlex | W4283644227 |
| Language | EN |
| Citations received | 1 |
| References cited | 83 |
Objective Prior studies have shown that greenness can reduce the burden of depressive disorders. However, most were focused on local-scale analyses while limited evaluated globally. We aimed to investigate the association between greenness and the burden of depressive disorders using data from 183 countries worldwide. Methods We used the normalized difference vegetation index (NDVI) to estimate greenness. Country-level disability-adjusted life year (DALY) loss due to depressive disorders was used to represent depressive disorder burdens. A generalized linear mixed model was applied to assess the relationship between greenness and depressive disorders after controlling for covariates. Stratified analyses were conducted to determine the effects of greenness across several socio-demographic levels. Results The findings showed a significant negative association between greenness and the health burden of depressive disorders with a coefficient of −0.196 (95% CI: −0.356, −0.035) in the DALY changes per interquartile unit increment of NDVI. The stratified analyses suggested beneficial effects of greenness on depressive disorders across sex, various age groups especially for those aged <49 years, with low-income and/or those living in highly urbanized countries. Conclusions Our study noted that greenness exposure was significant negative association with the burden of depressive disorders. The findings should be viewed as recommendations for relevant authorities in supporting environmental greenness enhancement to reduce the mental burdens
Burden of disease · Depression (economics · Depressive symptoms · Disease burden · Environmental health · Interquartile range · Major depressive disorder · Mental health · Normalized Difference Vegetation Index · Population · Psychiatry · Climate Change and Health Impacts · Demography · Medicine · Noise Effects and Management · Urban Green Space and Health · Ecology
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| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |