Zhang Zheng, Xu Huijie, Liping Cui, Wang Yuanyuan
Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, China; School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China.
School of Education, Huazhong University of Science and Technology, Wuhan, China.
BMC Public Health. 2025 May 6;25(1):1676. doi: 10.1186/s12889-025-22323-0.
Depression poses a significant global public health challenge, affecting millions of people worldwide. The utilization of renewable energy holds potential for improving mental health by reducing air pollution and promoting green spaces.
This study aims to investigate the impact of renewable energy use on depression, with a focus on its spatial effects and the mediating roles of air pollution reduction and green space expansion.
Data from 181 countries were analyzed using a two-way fixed effects model and the Spatial Durbin Model (SDM). Depression-related metrics, including Disability-Adjusted Life Years (DALYs), Age-Standardized Disability-Adjusted Life Years Rate (ASDR), prevalence, and Age-Standardized Prevalence Rate (ASPR), were evaluated.
Renewable energy use significantly reduces DALYs, ASDR, prevalence, and ASPR within a country, but it also significantly increases the risk of depression in neighboring countries. The impact of renewable energy on depression varies by gender, age, and SDI level, being more pronounced for males and the 50-74 age group. The effect is significant in high and low SDI countries but not in middle SDI countries, indicating a "middle-income trap."
Renewable energy can improve mental health by reducing air pollution and promoting green spaces. However, policymakers need to consider spatial effects and tailor policies accordingly to maximize health benefits.
抑郁症是一项重大的全球公共卫生挑战,影响着全球数百万人。利用可再生能源有可能通过减少空气污染和增加绿色空间来改善心理健康。
本研究旨在调查可再生能源使用对抑郁症的影响,重点关注其空间效应以及减少空气污染和扩大绿色空间的中介作用。
使用双向固定效应模型和空间杜宾模型(SDM)分析了来自181个国家的数据。评估了与抑郁症相关的指标,包括伤残调整生命年(DALYs)、年龄标准化伤残调整生命年率(ASDR)、患病率和年龄标准化患病率(ASPR)。
可再生能源的使用显著降低了一个国家内的伤残调整生命年、年龄标准化伤残调整生命年率、患病率和年龄标准化患病率,但也显著增加了邻国患抑郁症的风险。可再生能源对抑郁症的影响因性别、年龄和社会人口指数(SDI)水平而异,对男性和50-74岁年龄组的影响更为明显。在高社会人口指数国家和低社会人口指数国家,这种影响是显著的,但在中等社会人口指数国家则不显著,这表明存在“中等收入陷阱”。
可再生能源可以通过减少空气污染和增加绿色空间来改善心理健康。然而,政策制定者需要考虑空间效应,并相应地制定政策,以最大限度地提高健康效益。