Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA.
Center for Behavioral Cardiovascular Health, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA.
Psychol Health Med. 2023 Jul-Dec;28(7):1938-1949. doi: 10.1080/13548506.2023.2185644. Epub 2023 Mar 13.
The threat of climate change is associated with both profound health consequences and failures by many individuals to take preventive actions. Behavioral science research on health behavior engagement may serve as a lens through which to better understand attitudes associated with the threat of climate change. This study was designed to examine individual differences in attitudinal responses to climate change, understanding the degree to which these responses can be predicted by both political beliefs and more readily modified psychological factors commonly associated with health behavior engagement: locus of control, anxiety sensitivity, delay discounting, and intolerance of uncertainty. Participants ( = 234) were US adults (62% male; 57% Non-Hispanic White; 44% Democrat) who completed an online survey. Stepwise multiple linear regressions examined which variables provided non-redundant prediction in models of climate change beliefs and concerns. In addition to providing support for the role of political affiliation and related ideology in climate change views (9-23% variance), this study underscores the importance of a behavioral health frame in understanding climate change concerns and beliefs. Known risk factors for negative health behaviors - prominently, locus of control, anxiety sensitivity, and delay discounting - contributed strongly to the understanding of these views, accounting for 4-28% of variance. Our findings encourage greater attention to health behavior-related constructs for understanding attitudes relevant to climate change action.
气候变化的威胁既与深远的健康后果有关,也与许多人未能采取预防措施有关。健康行为参与的行为科学研究可以作为一个视角,帮助我们更好地理解与气候变化威胁相关的态度。本研究旨在探讨个体对气候变化的态度反应差异,了解这些反应在多大程度上可以通过政治信仰以及与健康行为参与更为相关的心理因素(如控制点、焦虑敏感性、延迟折扣和不确定性容忍度)来预测。参与者为美国成年人(62%为男性;57%为非西班牙裔白人;44%为民主党人),他们完成了一项在线调查。逐步多元线性回归分析考察了哪些变量在气候变化信念和担忧模型中提供了非冗余预测。除了为政治信仰和相关意识形态在气候变化观点中的作用提供支持(9-23%的方差)外,本研究还强调了从行为健康角度理解气候变化担忧和信念的重要性。已知的负面健康行为风险因素——突出的是控制点、焦虑敏感性和延迟折扣——对这些观点的理解有很大的贡献,占方差的 4-28%。我们的研究结果鼓励更多地关注与健康行为相关的结构,以理解与气候变化行动相关的态度。