Translation and validation to the Arabic language version of the climate change anxiety scale (CCAS)

Abstract

Abstract Background The Arab world is one of the global regions the most directly concerned by, and suffering from climate change’s adverse consequences. As such, there appears to be a strong need for an understanding of how Arab people may emotionally respond to climate change. Providing valid and reliable measures of climate change anxiety (CCA) can help gain a clear overview of the situation in Arab countries, and allow to intervene timely and effectively to mitigate any adverse effects on Arab people’s mental health. To this end, the present study sought to validate the Arabic language version of the Climate Change Anxiety Scale (CCAS) in a sample of native Arabic-speaking adults from the general population of Lebanon. Methods This study adopted a cross-sectional approach and enrolled 763 adults between July and September 2023. Results A confirmatory analysis of the one-factor model showed poor fit indices as follows: CFI = 0.90, GFI = 0.83, SRMR = 0.048 and RMSEA 0.131 [90% CI 0.123, 0.138). The two-factor model showed a satisfactory fit with a high CFI of and a GFI of 0.91 and a SRMR of 0.04 and RMSEA of 0.05 [90% CI 0.04, 0.06]. Both McDonald’s omega and Cronbach alpha values were high for the overall CCAS score (α = 0.96 and ω = 0.96) in the whole sample. Configural, metric and scalar invariance across gender was demonstrated. No significant difference was found between males and females in terms of total CCAS scores (24.53 ± 10.59 vs. 26.03 ± 11.17, t(761) = -1.82, p = .069). Higher CCA, functional impairment and cognitive impairment scores were significantly associated with higher depression, anxiety and stress. Conclusion The reliability and validity of the CCAS in its Arabic version were proven. The availability of this self-report measure could offer a chance to assess CCA among Adults speaking Arabic, and to spread its future use for screening and research purposes.

Keywords

• Climate change anxiety
• Climate change
• Psychometrics
• Scale validation
• Arabic