A network approach to climate change anxiety and its key related features
(2023) Journal of Anxiety Disorders — Vol. 93, p. 102625 [1-10] (2023)
Files
Preprint_FINAL.pdf
Open Access - Adobe PDF
- 507.6 KB
Details
- Authors
- Abstract
- Research has pointed to startling worldwide rates of people reporting considerable anxiety vis-à-vis climate change. Yet, uncertainties remain regarding how climate anxiety’s cognitive-emotional features and daily life functional impairments interact with one another and with climate change experience, pro-environmental behaviors, and general worry. In this study, we apply network analyses to examine the associations among these variables in an international community sample (n = 874). We computed two network models, a graphical Gaussian model to explore network structure, potential communities, and influential nodes, and a directed acyclic graph to examine the probabilistic dependencies among the variables. Both network models pointed to the cognitive-emotional features of climate anxiety as a potential hub bridging general worry, the experience of climate change, pro-environmental behaviors, and the functional impairments associated with climate anxiety. Our findings offer data‐driven clues for the field’s larger quest to establish the foundations of climate anxiety.
- Affiliations
Citations
Heeren, A., Mouguiama-Daouda, C., & McNally, R. J. (2023). A network approach to climate change anxiety and its key related features. Journal of Anxiety Disorders, 93, 102625 [1-10]. https://doi.org/10.1016/j.janxdis.2022.102625 (Original work published 2023)