PDF(Pubmed)
Abstract：
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.
摘要：
个人对气候变化的敏感性是他们对气候变化的脆弱性的核心组成部分。在本文中,我们介绍并概述了一种新的个体内变异性结构的效用，对空气污染的情感敏感性（ASAP）-定义为个人的情感状态根据空气质量的日常变化而波动的程度。因此，尽快推动超越检查个人的差异，“暴露于空气污染”，以检查个人对空气污染的敏感性。基于已知的空气污染暴露与不良心理健康结果之间的关联，我们从经验上说明了如何将贝叶斯多水平模型应用于在一年内的经验抽样研究(N=150)中获得的密集重复测量数据，以检查个体的日常情感状态是否以及如何随着其所在县的室外空气污染的日常浓度而波动。结果表明构建体的生存能力，因为我们发现ASAP在影响唤醒和影响效价方面存在显著的个体间差异。这表明，重复测量个体的日常影响为测量他们对气候变化的敏感性提供了一种新的方法。除了促进围绕气候脆弱性的讨论之外，这里提出的个体差异结构和方法可以帮助更好地将情感和心理健康纳入气候适应政策，plans,和程序。
