Detecting and classifying eco-anxiety: development of clinical cut-of scores for the climate change anxiety scale

Title
Detecting and classifying eco-anxiety: development of clinical cut-of scores for the climate change anxiety scale
Publication Date
2024-12-18
Author(s)
Cosh, Suzanne M
( author )
OrcID: https://orcid.org/0000-0002-8003-3704
Email: scosh@une.edu.au
UNE Id une-id:scosh
Williams, Sarah E
Lykins, Amy D
( author )
OrcID: https://orcid.org/0000-0003-2930-3964
Email: alykins@une.edu.au
UNE Id une-id:alykins
Bartik, Warren
( author )
OrcID: https://orcid.org/0000-0001-8344-3306
Email: wbartik@une.edu.au
UNE Id une-id:wbartik
Tully, Phillip J
( author )
OrcID: https://orcid.org/0000-0003-2807-1313
Email: ptully2@une.edu.au
UNE Id une-id:ptully2
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
BioMed Central Ltd
Place of publication
United Kingdom
DOI
10.1186/s40359-024-02240-4
UNE publication id
une:1959.11/70948
Abstract

Background Climate change anxiety, that is worry and fear in relation to the awareness of the impacts of climate change, is widely observed around the world. Some evidence suggests that while climate change anxiety can, at times, be adaptive, a growing body of research has reported that climate change anxiety is also related to a range of negative mental health outcomes and psychological distress. Currently, however, there is limited ability to assess for elevated levels of climate change anxiety and to identify those who may need support. The present study, therefore, aimed to develop clinical cut-of scores on a measure of climate change anxiety.

Methods A largely representative sample of Australian young adults (aged 16–25 years) completed measures of psychological distress (Depression, Anxiety and Stress Scale-21) and the Climate Change Anxiety Scale. Markers of clinically meaningful psychological distress – elevated depression, anxiety, and stress symptoms—were used to classify cases. Receiver Operating Characteristics analyses were performed to assess the predictive ability of the indicators of psychological distress (mild, moderate, severe, and extremely severe thresholds of anxiety, depression, and stress symptoms) for detecting climate change anxiety and to ascertain optimal cut-of scores.

Results The Area Under the Curve was acceptable to moderate for detecting climate change anxiety across all analyses. Across symptom severity thresholds and markers of psychological distress, based on consideration of balancing sensitivity and specifcity, results consistently suggested that a cut-score of 21 was indicative of mild-moderate climate change anxiety, with a cut-of score of 23 indicating severe-extremely severe climate change anxiety.

Conclusions The proposed cut-ofs can feasibly be used to identify those with elevated climate change anxiety. Use of these cut-of scores can inform research as well as be used to guide screening, assessment, and inform clinical practice. Results also highlight a high rate of climate change anxiety in young adults.

Link
Citation
BMC Psychology, v.12, p. 1-9
ISSN
2050-7283
Start page
1
End page
9
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International

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