Asri Aji Kusumaning, Tsai Hui-Ju, Pan Wen-Chi, Guo Yue Leon, Yu Chia-Pin, Wu Chi-Shin, Su Huey-Jen, Lung Shih-Chun Candice, Wu Chih-Da, Spengler John D
Department of Geomatics, National Cheng Kung University, Tainan, Taiwan.
Institute of Population Health Sciences, National Health Research Institutes, Miaoli, Taiwan.
Front Psychiatry. 2022 Jun 28;13:919892. doi: 10.3389/fpsyt.2022.919892. eCollection 2022.
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.
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.
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.
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.
先前的研究表明，绿化程度可减轻抑郁症负担。然而，大多数研究集中在局部尺度分析，而全球评估有限。我们旨在利用来自全球183个国家的数据，调查绿化程度与抑郁症负担之间的关联。
我们使用归一化植被指数（NDVI）来估计绿化程度。用因抑郁症导致的国家层面伤残调整生命年（DALY）损失来代表抑郁症负担。在控制协变量后，应用广义线性混合模型来评估绿化程度与抑郁症之间的关系。进行分层分析以确定绿化程度在几个社会人口统计学层面上的影响。
研究结果显示，绿化程度与抑郁症的健康负担之间存在显著的负相关，NDVI每增加四分位间距单位，DALY变化的系数为-0.196（95%置信区间：-0.356，-0.035）。分层分析表明，绿化程度对各性别、各年龄组尤其是49岁以下人群、低收入人群和/或生活在高度城市化国家的人群的抑郁症有有益影响。
我们的研究指出，接触绿化与抑郁症负担之间存在显著的负相关。这些发现应被视为向相关当局提出的建议，以支持加强环境绿化以减轻心理负担。
