Department of Communication, Stanford University, Palo Alto, California, United States of America.
Emmett Interdisciplinary Program in Environment and Resources, Stanford University, Palo Alto, California, United States of America.
PLoS One. 2024 Aug 7;19(8):e0307430. doi: 10.1371/journal.pone.0307430. eCollection 2024.
Individuals' sensitivity to climate hazards is a central component of their vulnerability to climate change. In this paper, we introduce and outline the utility of a new intraindividual variability construct, affective sensitivity to air pollution (ASAP)-defined as the extent to which an individual's affective states fluctuate in accordance with daily changes in air quality. As such, ASAP pushes beyond examination of differences in individuals' exposures to air pollution to examination of differences in individuals' sensitivities to air pollution. Building on known associations between air pollution exposure and adverse mental health outcomes, we empirically illustrate how application of Bayesian multilevel models to intensive repeated measures data obtained in an experience sampling study (N = 150) over one year can be used to examine whether and how individuals' daily affective states fluctuate with the daily concentrations of outdoor air pollution in their county. Results indicate construct viability, as we found substantial interindividual differences in ASAP for both affect arousal and affect valence. This suggests that repeated measures of individuals' day-to-day affect provides a new way of measuring their sensitivity to climate change. In addition to contributing to discourse around climate vulnerability, the intraindividual variability construct and methodology proposed here can help better integrate affect and mental health in climate adaptation policies, plans, and programs.
个人对气候灾害的敏感性是其对气候变化脆弱性的核心组成部分。在本文中,我们引入并概述了一个新的个体内变异性结构的效用,即对空气污染的情感敏感性(ASAP)——定义为个体的情感状态根据空气质量的日常变化而波动的程度。因此,ASAP 超越了对个体暴露于空气污染差异的研究,而转向了对个体对空气污染敏感性差异的研究。基于空气污染暴露与不良心理健康结果之间的已知关联,我们通过实证说明了如何将贝叶斯多层次模型应用于在一项经验抽样研究(N=150)中获得的一年密集重复测量数据,以检验个体的日常情感状态是否以及如何随其所在县的户外空气污染日浓度波动。结果表明该结构具有可行性,因为我们发现对情感唤醒和情感效价的 ASAP 存在显著的个体间差异。这表明个体日常情感的重复测量提供了一种新的方法来衡量他们对气候变化的敏感性。除了为气候脆弱性的讨论做出贡献外,这里提出的个体内变异性结构和方法还可以帮助更好地将情感和心理健康纳入气候适应政策、计划和方案中。