人为热与中国儿童哮喘及相关症状的关系：反映气候变化的新指数

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society Pub Date : 2024-10-16 DOI:10.1016/j.scs.2024.105913

Feng-Wen Shan , Xuan Liu , Ming-Kun Sun , Zhengmin Qian , Michael G. Vaughn , Niraj R. Chavan , Shu-Li Xu , He-Hai Huang , Zhao-Huan Gui , Ru-Qing Liu , Li-Wen Hu , Li-Zi Lin , Zhong Lin , Qin-Tai Yang , Guang-Hui Dong

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引用次数: 0

摘要

背景源热（AH）被定义为由于人类活动而向环境释放的大量废热，是导致全球气候变化的可控热源。然而，目前尚缺乏流行病学证据证明AH与儿童哮喘之间存在明确的关联。目的探讨儿童暴露于AH与哮喘及其相关症状之间的关系。方法这项基于人群的横断面研究是2012年至2018年全国中国儿童健康研究的一部分，涉及188145名6至18岁的儿童。我们使用多源遥感图像和辅助数据来估算空气暴露量。哮喘症状数据通过有效的自我报告问卷收集。结果我们的研究结果表明，AH 暴露与儿童哮喘风险之间存在正相关。在对协变因素进行调整后，总空气吸入量在四分位数范围内（IQR）的增加与较高的当前哮喘几率有关（OR：1.15，95 % CI：1.10，1.20）。按膳食纤维来源分类，工业膳食纤维的影响最大，会增加目前患哮喘的风险（OR：1.16，95 % CI：1.11，1.22）。值得注意的是，年龄较小的儿童在接触 AH 与哮喘相关症状之间表现出更强的相关性，男孩的易感性更高，尤其是持续咳嗽。这项研究为制定切实可行的战略以减轻全球变暖对呼吸系统健康的不利影响奠定了基础，同时也为制定和评估气候行动和公共卫生政策提供了指导，并为城市的可持续发展提供了支持。

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Association of anthropogenic heat with asthma and related symptoms among children in China: A novel index reflecting climate change

Background

Anthropogenic heat (AH) is defined as the significant release of waste heat into the environment due to human activities, serving as a controllable heat source contributing to global climate change. However, epidemiological evidence establishing a clear association between AH and childhood asthma is currently lacking.

Objectives

To explore the relationship between children's exposure to AH and asthma, as well as its related symptoms.

Methods

This population-based cross-sectional study, part of the National Chinese Children Health Study from 2012 to 2018, involved 188,145 children aged 6 to 18 years. We used multisource remote sensing images and ancillary data to estimate AH exposure. Data on asthma symptoms were collected through validated self-reported questionnaires. A generalized linear mixed model was applied to determine the associations.

Results

Our findings indicate a positive correlation between AH exposure and asthma risk in children. An interquartile range (IQR) increase in total AH was linked to higher odds of current asthma (OR: 1.15, 95 % CI: 1.10, 1.20) after adjusting for covariates. Categorizing AH by source, industrial AH exhibited the strongest effect, with an increased risk of current asthma (OR: 1.16, 95 % CI: 1.11, 1.22). Notably, younger children exhibited stronger associations between AH exposure and asthma-related symptoms, with boys showing heightened susceptibility, particularly for persistent cough.

Conclusion

This study suggests that exposure to AH may elevate the risk of asthma and related symptoms, particularly in boys and younger children. Providing a foundation for developing practical strategies to mitigate the adverse impacts of global warming on respiratory health, while also guiding the formulation and evaluation of climate action and public health policies, and supporting sustainable urban development.

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来源期刊

Sustainable Cities and Society Social Sciences-Geography, Planning and Development

CiteScore

22.00

自引率

13.70%

发文量

810

审稿时长

27 days

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;