Dodd Steven, Kragh-Furbo Mette, Davies Jessica, Butterfield Scott, Morris Abigail, Brown Heather
Division of Health Research, Faculty of Health and Medicine, Lancaster University, Lancaster, LA14YW, UK.
Institute of Population Health, University of Liverpool, Waterhouse Building, Block B, Brownlow Street, Liverpool, L69 3GF, UK.
SSM Qual Res Health. 2024 Dec;6:100475. doi: 10.1016/j.ssmqr.2024.100475.
This qualitative synthesis explores the experiences of UK communities facing growing health risks from climate change and extreme weather. The eight included studies show the profound impacts of extreme weather events such as floods on mental health, including challenges to self-identity and anxiety from the fear of flooding returning. Included data reveal individual and household impacts of extreme weather are mediated by a complex interaction of institutional support, community support, gender inequalities and personal agency. These factors are assessed against the backdrop of broader concepts in the social science and adaptation literature, including the role of the state, the inseparability of nature and society, the overlooked role of social structure, and environmental justice. It is argued that the use of qualitative synthesis methods in this topic area allows for an interconnected and context-sensitive analysis of the health impacts of climate change facing communities, diverging from other analytical approaches through inclusion of considerations such as social power, community dynamics, and the inter-relation of institutional action, community cohesion and individual agency. The resulting findings show how locally specific and highly contextual qualitative data can be used by those seeking to understand health risks from climate change within a locality.
这项定性综合研究探讨了英国社区在面对气候变化和极端天气带来的日益增长的健康风险时的经历。纳入的八项研究表明,洪水等极端天气事件对心理健康有深远影响,包括对自我认同的挑战以及因担心洪水再次来袭而产生的焦虑。纳入的数据显示,极端天气对个人和家庭的影响是由机构支持、社区支持、性别不平等和个人能动性的复杂相互作用所介导的。这些因素是在社会科学和适应文献中的更广泛概念背景下进行评估的,包括国家的作用、自然与社会的不可分割性、社会结构被忽视的作用以及环境正义。有人认为,在这一主题领域使用定性综合方法能够对社区面临的气候变化健康影响进行相互关联且因地制宜的分析,与其他分析方法不同的是,它纳入了社会权力、社区动态以及机构行动、社区凝聚力和个人能动性之间的相互关系等考量因素。研究结果表明,那些试图了解当地气候变化健康风险的人可以如何利用当地特定且高度情境化的定性数据。