School of Earth and Environmental Sciences, University of Queensland, Brisbane, Queensland, Australia; Graduate School of Interdisciplinary Information Studies, University of Tokyo, Tokyo, Japan.
Centre for Social Policy & Social Change, Lingnan University, China.
J Environ Manage. 2023 Jan 1;325(Pt B):116663. doi: 10.1016/j.jenvman.2022.116663. Epub 2022 Nov 5.
The warming trend over recent decades has already contributed to the increased prevalence of heat-vulnerable chronic diseases in many regions of the world. However, understanding the relationship between heat-vulnerable chronic diseases and heatwaves remains incomplete due to the complexity of such a relationship mingling with human society, urban and natural environments. Our study extends the Social Ecological Theory by constructing a tri-environmental conceptual framework (i.e., across social, built, and natural environments) and contributes to the first nationwide study of the relationship between heat-vulnerable chronic diseases and heatwaves in Australia. We utilize the random forest regression model to explore the importance of heatwaves and 48 tri-environmental variables that contribute to the prevalence of six types of heat-vulnerable diseases. We further apply the local interpretable model-agnostic explanations and the accumulated local effects analysis to interpret how the heat-disease nexus is mediated through tri-environments and varied across urban and rural space. The overall effect of heatwaves on diseases varies across disease types and geographical contexts (latitudes; inland versus coast). The local heat-disease nexus follows a J-shape function-becoming sharply positive after a certain threshold of heatwaves-reflecting that people with the onset of different diseases have various sensitivity and tolerance to heatwaves. However, such effects are relatively marginal compared to tri-environmental variables. We propose a number of policy implications on reducing urban-rural disparity in healthcare access and service distribution, delineating areas, and identifying the variations of sensitivity to heatwaves across urban/rural space and disease types. Our conceptual framework can be further applied to examine the relationship between other environmental problems and health outcomes.
近几十年来的变暖趋势已经导致世界许多地区易受热影响的慢性疾病的发病率上升。然而,由于这种关系与人类社会、城市和自然环境交织在一起的复杂性,易受热影响的慢性疾病与热浪之间的关系仍不完全清楚。我们的研究通过构建一个三环境概念框架(即社会、建筑和自然环境)扩展了社会生态理论,并为澳大利亚首次进行的易受热影响的慢性疾病与热浪之间关系的全国性研究做出了贡献。我们利用随机森林回归模型来探索热浪的重要性以及 48 个三环境变量对六种易受热影响疾病的患病率的贡献。我们进一步应用局部可解释模型不可知解释和累积局部效应分析来解释热-疾病关系是如何通过三环境以及城乡空间的变化来调节的。热浪对疾病的总体影响因疾病类型和地理背景(纬度;内陆与沿海)而异。局部热-疾病关系遵循 J 形函数,即在达到一定热浪阈值后急剧上升,这反映出不同疾病的患者对热浪的敏感性和耐受性存在差异。然而,与三环境变量相比,这种影响相对较小。我们提出了一些政策建议,以减少城乡医疗保健获取和服务分配的差距,划定区域,并确定城乡空间和疾病类型对热浪的敏感性变化。我们的概念框架可以进一步应用于研究其他环境问题与健康结果之间的关系。