Jun-Yan Xi , Li-Chang Chen , Xue-Qi Li , Jie Hu , Wei Hu , Jian-Jun Bai , Yi-Ning Xiang , Yu-Can Zhang , Jia-Jia Wang , Shi-Hao Wang , Jing Gu , Yuan-Tao Hao , Xiao Lin
{"title":"环境治理的进展与精神疾病负担流行之间的潜在联系:对 197 个国家进行动态面板数据分析得出的新见解","authors":"Jun-Yan Xi , Li-Chang Chen , Xue-Qi Li , Jie Hu , Wei Hu , Jian-Jun Bai , Yi-Ning Xiang , Yu-Can Zhang , Jia-Jia Wang , Shi-Hao Wang , Jing Gu , Yuan-Tao Hao , Xiao Lin","doi":"10.1016/j.scs.2025.106389","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Little is known about the extent to which addressing the serious challenges of environmental governance can alleviate the burden of mental disorders. This study aims to examine the potential association between the Environmental Performance Indicator (<em>EPI</em>) and the burden of mental disorders.</div></div><div><h3>Methods</h3><div>We measured the burden of mental disorders [loss of healthy life expectancy (HLE) due to mental disorders] and the <em>EPI</em> [Climate Change Mitigation (CCH), Air Quality (AIR), Sanitation and Drinking Water (H2O), and Heavy Metals (HMT)] for 197 countries from 1995 to 2019. The dynamic panel model was used to investigate the dynamic relationships between the <em>EPI</em> and the burden.</div></div><div><h3>Results</h3><div>For every 1-point increase in CCH, AIR, H2O, and HMT, the loss of HLE due to mental disorders decreased by 31.839 (95 % confidence interval: 7.777∼55.900), 281.229 (137.504∼424.953), -188.598 (-367.575∼-9.621), and 331.589 (136.714∼526.465) person-years per 100,000 people, respectively.</div></div><div><h3>Conclusion</h3><div>The advancement of sanitation and drinking water within the <em>EPI</em> does not appear to have had a favorable impact on reducing the burden of mental disorders. Efforts to reduce toxic by-products that may form during water treatment and include them in the assessment of the <em>EPI</em> may have potential benefits in reducing the burden of mental disorders.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"126 ","pages":"Article 106389"},"PeriodicalIF":10.5000,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Potential links between the progress in environmental governance and the prevalence of mental disorder burden: New insight from a dynamic panel-data analysis for 197 countries\",\"authors\":\"Jun-Yan Xi , Li-Chang Chen , Xue-Qi Li , Jie Hu , Wei Hu , Jian-Jun Bai , Yi-Ning Xiang , Yu-Can Zhang , Jia-Jia Wang , Shi-Hao Wang , Jing Gu , Yuan-Tao Hao , Xiao Lin\",\"doi\":\"10.1016/j.scs.2025.106389\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Little is known about the extent to which addressing the serious challenges of environmental governance can alleviate the burden of mental disorders. This study aims to examine the potential association between the Environmental Performance Indicator (<em>EPI</em>) and the burden of mental disorders.</div></div><div><h3>Methods</h3><div>We measured the burden of mental disorders [loss of healthy life expectancy (HLE) due to mental disorders] and the <em>EPI</em> [Climate Change Mitigation (CCH), Air Quality (AIR), Sanitation and Drinking Water (H2O), and Heavy Metals (HMT)] for 197 countries from 1995 to 2019. The dynamic panel model was used to investigate the dynamic relationships between the <em>EPI</em> and the burden.</div></div><div><h3>Results</h3><div>For every 1-point increase in CCH, AIR, H2O, and HMT, the loss of HLE due to mental disorders decreased by 31.839 (95 % confidence interval: 7.777∼55.900), 281.229 (137.504∼424.953), -188.598 (-367.575∼-9.621), and 331.589 (136.714∼526.465) person-years per 100,000 people, respectively.</div></div><div><h3>Conclusion</h3><div>The advancement of sanitation and drinking water within the <em>EPI</em> does not appear to have had a favorable impact on reducing the burden of mental disorders. Efforts to reduce toxic by-products that may form during water treatment and include them in the assessment of the <em>EPI</em> may have potential benefits in reducing the burden of mental disorders.</div></div>\",\"PeriodicalId\":48659,\"journal\":{\"name\":\"Sustainable Cities and Society\",\"volume\":\"126 \",\"pages\":\"Article 106389\"},\"PeriodicalIF\":10.5000,\"publicationDate\":\"2025-04-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sustainable Cities and Society\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2210670725002653\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CONSTRUCTION & BUILDING TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Cities and Society","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210670725002653","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
Potential links between the progress in environmental governance and the prevalence of mental disorder burden: New insight from a dynamic panel-data analysis for 197 countries
Background
Little is known about the extent to which addressing the serious challenges of environmental governance can alleviate the burden of mental disorders. This study aims to examine the potential association between the Environmental Performance Indicator (EPI) and the burden of mental disorders.
Methods
We measured the burden of mental disorders [loss of healthy life expectancy (HLE) due to mental disorders] and the EPI [Climate Change Mitigation (CCH), Air Quality (AIR), Sanitation and Drinking Water (H2O), and Heavy Metals (HMT)] for 197 countries from 1995 to 2019. The dynamic panel model was used to investigate the dynamic relationships between the EPI and the burden.
Results
For every 1-point increase in CCH, AIR, H2O, and HMT, the loss of HLE due to mental disorders decreased by 31.839 (95 % confidence interval: 7.777∼55.900), 281.229 (137.504∼424.953), -188.598 (-367.575∼-9.621), and 331.589 (136.714∼526.465) person-years per 100,000 people, respectively.
Conclusion
The advancement of sanitation and drinking water within the EPI does not appear to have had a favorable impact on reducing the burden of mental disorders. Efforts to reduce toxic by-products that may form during water treatment and include them in the assessment of the EPI may have potential benefits in reducing the burden of mental disorders.
期刊介绍:
Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including:
1. Smart cities and resilient environments;
2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management;
3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management);
4. Energy efficient, low/zero carbon, and green buildings/communities;
5. Climate change mitigation and adaptation in urban environments;
6. Green infrastructure and BMPs;
7. Environmental Footprint accounting and management;
8. Urban agriculture and forestry;
9. ICT, smart grid and intelligent infrastructure;
10. Urban design/planning, regulations, legislation, certification, economics, and policy;
11. Social aspects, impacts and resiliency of cities;
12. Behavior monitoring, analysis and change within urban communities;
13. Health monitoring and improvement;
14. Nexus issues related to sustainable cities and societies;
15. Smart city governance;
16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society;
17. Big data, machine learning, and artificial intelligence applications and case studies;
18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems.
19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management;
20. Waste reduction and recycling;
21. Wastewater collection, treatment and recycling;
22. Smart, clean and healthy transportation systems and infrastructure;