Vol. 16, n. 2, giugno 2023

STRUMENTI

Proprietà psicometriche della versione italiana della Climate Change Anxiety Scale

Annamaria Di Fabio1 e Andrea Svicher2

Sommario

La sfida del cambiamento climatico è diventata sempre più pressante nel 21° secolo, portando gli individui a fare esperienza di stati psicologici negativi. L’ansia da cambiamento climatico si riferisce alla paura cronica di un disastro ambientale causata dalle preoccupazioni per il cambiamento climatico. Per valutare questo fenomeno, i ricercatori hanno sviluppato una scala self-report di 22 item: la Climate Change Anxiety Scale (CCAS). Questo studio ha l’obiettivo di valutare le proprietà psicometriche della versione italiana del CCAS a 22 item in 411 studenti universitari. La struttura fattoriale della versione italiana del CCAS è stata analizzata mediante l’analisi fattoriale confermativa (AFC). L’affidabilità dello strumento è stata valutata utilizzando l’alfa di Cronbach, per misurare la validità concorrente sono stati utilizzati PANAS e PHQ-4. La versione italiana della CCAS ha dimostrato un buon adattamento ai dati per un modello di ordine superiore con quattro fattori (deterioramento cognitivo-emotivo, danno funzionale, esperienza del cambiamento climatico e impegno comportamentale), regrediti su un fattore di ordine superiore di ansia da cambiamento climatico. È stata confermata anche la validità concorrente con PANAS e PHQ-4. La versione italiana della CCAS è uno strumento affidabile per misurare l’ansia da cambiamento climatico anche nel contesto italiano. Ciò apre promettenti opportunità di ricerca e di intervento per rispondere questo tema promuovendo il benessere.

Parole chiave

Climate Change Anxiety Scale, Eco-ansia, Ansia ecologica, Benessere.

INSTRUMENTS

Psychometric Properties of the Italian Version of the Climate Change Anxiety Scale

Annamaria Di Fabio3 and Andrea Svicher4

Abstract

The challenge of climate change has become increasingly pressing in the 21st century, leading individuals to experience negative psychological effects. Climate change anxiety refers to the chronic fear of environmental doom caused by concerns about climate change. To assess this phenomenon, researchers have developed a 22-item self-report scale: the Climate Change Anxiety Scale (CCAS). This study aimed to evaluate the psychometric properties of the Italian version of the 22-item CCAS in 411 university students. The factor structure of the Italian version of the CCAS was analysed using confirmatory factor analysis (CFA). Reliability was assessed using Cronbach’s alphas, and concurrent validity was evaluated using the Positive and Negative Affect Schedule (PANAS) and the Patient Health Questionnaire-4 PHQ-4. The Italian version of the CCAS demonstrated a good fit for a higher-order model with four factors (cognitive-emotional impairment, functional impairment, experience of climate change, and behavioural engagement) regressed onto a higher-order climate change anxiety factor. Concurrent validity with PANAS and PHQ-4 was also confirmed. The Italian version of the CCAS is a reliable instrument for measuring climate change anxiety also in the Italian context. It opens promising opportunities for research and intervention aimed at coping with this issue, promoting well-being.

Keywords

Climate Change Anxiety Scale, Climate change anxiety, Eco-anxiety, Ecological anxiety, Well-being.

Climate change is one of the most crucial issues for the 21st century, impacting not only the environment but also human health (e.g., Heeren, Mouguiama-Daouda, & Contreras, 2022; Morrison et al., 2022). The health of populations is damaged in several ways (Nadeau et al., 2022) with an increase in negative psychological effects (Palinkas & Wong, 2020). In turn, a widespread emerging research line in applied psychology has examined anxiety, worry, and concerns that individuals have experienced in facing the challenges of climate change (e.g., Boluda-Verdú et al., 2022). In this scenario, literature has highlighted an emergent psychological phenomenon concerning the climate crisis, labelled «eco-anxiety» (Boluda-Verdú et al., 2022; Clayton et al., 2017). Eco-anxiety is defined as «a chronic fear of environmental doom» belonging to concerns about the insufficiency of climate action and the negative repercussions of global warming (Clayton et al., 2017, p. 68). Climate change worry (Stewart, 2021), climate anxiety (Boyd, Parr, & Philo, 2023), ecological stress (Helm et al., 2018), ecological grief (Cunsolo & Ellis, 2018), environmental distress (Higginbotham et al., 2006), and solastalgia (Galway et al., 2019) are other terms that researchers often use interchangeably. Eco-anxiety is often regarded as a person’s healthy response to climate change as opposed to a more nuanced pathology-based response like those common in anxiety disorders (Usher, Durkin, & Bhullar, 2019). However, scholars claim that anxiety about climate change may serve as a trigger for underlying mental health issues (Gunasiri et al., 2022; Usher, Durkin, & Bhullar, 2019). In this respect, young individuals have been demonstrated to experience greater discomfort as a consequence of climate change than older people. According to data from an internationally conducted survey of adolescents, 59% were extremely or very worried about climate change, and more than 45% experienced daily functional impairments (e.g., hurting their ability to work and/or socialize) because of eco-anxiety (Hickman et al., 2021). To better understand and measure the extent of this phenomenon, research has advanced several measurement tools and, according to the literature (Boluda-Verdú et al., 2022), the Climate Change Anxiety Scale (CCAS) (Clayton & Karazsia, 2020) is the most widely used instrument.

The Climate Change Anxiety Scale (CCAS) (Clayton & Karazsia, 2020) is a 22-item self-report scale that assesses four factors of climate change anxiety, namely cognitive-emotional impairment, functional impairment, experience of climate change and behavioural engagement. Cognitive-emotional impairment is described by worry, difficulties in concentrating, and nightmares/crying. Functional impairment consists of the presence of a person’s worries about climate change, which interferes with the capability of socializing or working. Experience of climate change indicates the occurrence of individual exposure to climate change. Behavioural engagement deals with people that are not only engaged with sustainability but also agree with the importance of a behavioural response (Clayton & Karazsia, 2020).

The construct aroused the interest of researchers, and the psychometric properties of the scale were tested in other populations than the English-speaking one. However, to the best of our knowledge, the majority of these studies validated the short version of the scale, which comprised 13 items loading on the first two factors (cognitive-emotional impairment; and functional impairment), such as the German (Wullenkord et al., 2021), Polish (Larionow et al., 2022), French (Mouguiama-Daouda et al., 2022), Filipino (Simon, Pakingan, & Aruta, 2022), Korean (Jang, Chung, & Lee, 2023), Japanese, Chinese (Tam, Chan, & Clayton, 2023), and Italian (Innocenti et al., 2021) versions.

Only Mouguiama-Daouda and colleagues (2022) explored the psychometric properties of the original four-factor solution in a French-speaking sample, via confirmatory factor analysis, reporting partially acceptable fit indices for a correlated four-factor solution. However, the psychometric properties of the 22-item CCAS, according to the best of our current knowledge, was not explored in the Italian version of the CCAS. Therefore, the present study aims to evaluate the psychometric properties of the Italian version of the 22-item CCAS for its use also in the Italian context.

Methods

Participants and Procedure

The back-translation method was used to translate the Italian version of the CCAS from English into Italian. Four hundred and eleven (n = 411) university students from Tuscany, Central Italy (mage = 19.75, DS = 1.29; male = 49.3%, female = 50.7%) participated in the present study voluntarily. Each participant gave written and informed consent in accordance with Italian privacy legislation (Law Decree DL 196/2003) and the EU General Data Protection Regulation (EU 2016/679). The administration order was balanced to counteract presentation order effects.

Instruments

Climate Change Anxiety Scale (CCAS) − Italian version. The Italian version (by Di Fabio & Svicher) of the CCAS (Clayton & Karazsia, 2020) is a self-report questionnaire composed of 22 items rated on a 5-point Likert scale. The original version of the scale showed four factors: cognitive-emotional impairment, functional impairment, the experience of climate change, and behavioural engagement (Clayton & Karazsia, 2020).

Positive and Negative Affect Schedule (PANAS) — Italian version (Terracciano, McCrae, & Costa, 2003). The Italian version of the PANAS (Watson, Clark, & Tellegen, 1988) is composed of twenty adjectives, ten reflecting Positive Affect (PA) (examples «interested», «enthusiastic», «determined») and ten dealing with Negative Affect (NA) (examples «distressed», «afraid», and «irritable») rated on a 5-point Likert scale. The Cronbach’s alpha for PA was 0.79, whereas for NA it was 0.82.

Patient Health Questionnaire-4 (PHQ-4) — Italian version (Giuliani et al., 2021). Patient Health Questionnaire-4 (PHQ-4) (Löwe et al., 2010) — Italian version (Giuliani et al., 2021). The Italian version of the PHQ-4 consists of four items. Two items investigate feelings of anxiety, tension, and difficulty in controlling worry. The other two items investigate loss of interest and feeling down. For all items, the response options are «not at all», «several days», «more than half the days» and «almost every day», with scores of 0, 1, 2, and 3, respectively (Löwe et al., 2010). The Italian version showed good psychometric properties (Giuliani et al., 2021). In the current study, the total score was used. Cronbach’s alpha was 0.82.

Statistical analysis

The factor structure of the Italian version of the CCAS was investigated via confirmatory factor analysis (CFA). The weighted least square mean and variance adjusted (WLSMV) estimator was used since 11 items out of 22 were found out of the skewness and kurtosis range of +1 and -1 (Tabachnick & Fidell, 2007). A higher-order model consisting of item loading on its respective factors (cognitive-emotional impairment: 8 items; functional impairment: 5 items; experience of climate change: 3 items, and behavioural engagement: 6 items) regressed onto a higher-order climate change anxiety factor. The model was evaluated considering the following fit indices: the Comparative Fit Index (CFI) and the Tucker-Lewis index (TLI) (values greater than 0.90 show a good fit); and the Root Mean Square Error of Approximation (RMSEA) (values lower than 0.08 show a good fit) (Browne & Cudeck, 1993). Concurrent validity with PANAS and PHQ-4 was assessed via Spearman’s Rho correlations. All the analyses were implemented using RStudio 2022.12.0 for Mac. The Packages Lavaan 0.6-15 SemPlot 1.1.6 and Psyhc 2.3.3 were implemented.

Results

The CFA showed a higher order model of the Italian version of the CCAS with an adequate fit to the data, showing the following statistics: χ2(df) = 801(556); CFI = 0.96; TLI = 0.95; RMSEA = 0.046 [0.039-0.053]. Figure 1 illustrates the Path diagram of the higher-order Model of the CCAS.

Figure 1

Italian Version of the Climate Change Anxiety Scale: Path diagram of higher-order model (n = 411) Note: CCAS: Climate Change Anxiety Scale

Table 1 reports the Cronbach’s alphas for the four factors and the higher order factor (i.e., total score), showing adequate reliability for all four factors and the higher order factor.

Table 2 reports the Spearman Rho Correlation Among Italian version of the CCAS, PANAS, and PHQ-4. The Italian version of the CCAS showed a statistically significant and positive correlation with PANAS NA and a statistically significant and negative correlation with PANAS PA. Moreover, the Italian version of the CCAS reported a statistically significant and positive correlation with PHQ-4.

Table 1

Italian Version of the Climate Change Anxiety Scale: Cronbach’s alphas for higher-order measurement model (n = 411)

CCAS Factors

Cronbach’s a

CCAS Cognitive-Emotional Impairment

0.842

CCAS Functional Impairment

0.814

CCAS Experience of Climate Change

0.716

CCAS Behavioural Engagement

0.785

CCAS Total Score

0.883

Note: CCAS = Climate Change Anxiety Scale.

Table 2

Spearman Rho Correlation Among Italian Version of the Climate Change Anxiety Scale, Positive and Negative Affect Schedule, and Patient Health Questionnaire-4 (n = 411)

CCAS Factors

PANAS PA

PANAS NA

PHQ-4

CCAS Cognitive-Emotional Impairment

0.186***

-0.223***

0.230***

CCAS Functional Impairment

0.160**

-0.243***

0.201***

CCAS Experience of Climate Change

0.147**

-0.170***

0.166***

CCAS Behavioural Engagement

0.150**

-0.114*

0.204***

CCAS Total Score

0.200***

-0.215***

0.253***

Note: CCAS = Climate Change Anxiety Scale. PANAS PA = Positive and Negative Affect Schedule Positive Affect; PANAS NA = Positive and Negative Affect Schedule Negative Affect

Discussion

The current study implemented CFA to study the psychometric properties of the Italian version of the CCAS, a self-reported scale developed to measure Climate Change Anxiety (Clayton & Karazsia, 2020). Our results are in line with those observed in the original English version, showing the presence of four specific factors (Clayton & Karazsia, 2020). Furthermore, our results also highlighted the presence of a higher-order factor that allows us to compute a total score for the scale, in line with the original construct that was advanced to provide a measure of climate change anxiety (Clayton & Karazsia, 2020). Reliability for each of the four factors and the higher-order factor was found to be good. The concurrent validity of the Italian version of the CCAS was highlighted by statistically significant and positive associations with negative affect and psychological distress as well as via statistically significant and negative associations with positive affect.

The current study has limitations and strengths. The first is inherent to our participants, who were university students from Tuscany, Central Italy. Further research could expand the study of the psychometric properties of the Italian version of the CCAS also in different populations of university students from other regions of Italy. However, to the best of our knowledge, the current study is the first that investigates the psychometric properties of the 22-item CCAS in Italian university students, and young adults were described as the population that reports a higher worry about climate change (Hickman et al., 2021). Therefore, our results are worthy of attention. In brief, the Italian version of the CCAS demonstrated good psychometric properties, revealing a reliable higher-order four-factor structure. Thus, the Italian version of the CCAS is a promising instrument to measure climate change anxiety and its four dimensions, according to the original Model of Clayton and Karazsia (2020).

References

Boluda-Verdú, I., Senent-Valero, M., Casas-Escolano, M., Matijasevich, A., & Pastor-Valero, M. (2022). Fear for the future: Eco-anxiety and health implications, a systematic review. Journal of Environmental Psychology, 84, 101904. https://doi.org/10.1016/j.jenvp.2022.101904.

Boyd, C., Parr, H., & Philo, C. (2023). Climate anxiety as posthuman knowledge. Wellbeing, Space and Society, 4, 100120. https://doi.org/10.1016/j.wss.2022.100120.

Browne, M. W., & Cudek, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen, & J. S. Long (Eds.), Personnel selection in organizations (pp. 35-70). San Francisco, CA, Jossey-Bass.

Clayton, S., & Karazsia, B. T. (2020). Development and validation of a measure of climate change anxiety. Journal of Environmental Psychology69, 101434. https://doi.org/10.1016/j.jenvp.2020.101434.

Clayton, S., Manning, C. M., Krygsman, K., & Speiser, M. (2017). Mental Health and Our Changing Climate: Impacts, Implications, and Guidance. Washington, D.C.: American Psychological Association, and ecoAmerica.

Cunsolo, A., & Ellis, N. R. (2018). Ecological grief as a mental health response to climate change-related loss. Nature Climate Change, 8(4), 275-281. https://doi.org/10.1038/s41558-018-0092-2.

Galway, L. P., Beery, T., Jones-Casey, K., & Tasala, K. (2019). Mapping the Solastalgia Literature: A Scoping Review Study. International Journal of Environmental Research and Public Health16(15), 2662. https://doi.org/10.3390/ijerph16152662.

Giuliani, M., Gorini, A., Barbieri, S., Veglia, F., & Tremoli, E. (2021). Examination of the best cut-off points of PHQ-2 and GAD-2 for detecting depression and anxiety in Italian cardiovascular inpatients. Psychology & Health, 36(9), 1088-1101. https://doi.org/10.1080/08870446.2020.1830093.

Gunasiri, H., Wang, Y., Watkins, E.-M., Capetola, T., Henderson-Wilson, C., & Patrick, R. (2022). Hope, Coping and Eco-Anxiety: Young People’s Mental in a Climate-Impacted Australia. International Journal of Environmental Research and Public Health, 19(9), 5528. https://doi.org/10.3390/ijerph19095528.

Heeren, A., Mouguiama-Daouda, C., & Contreras, A. (2022). On climate anxiety and the threat, it may pose to daily life functioning and adaptation: A study among European and African French-speaking participants. Climatic Change, 173(1-2), Article 15. https://doi.org/10.1007/s10584-022-03402-2.

Helm, S. V., Pollitt, A., Barnett, M. A., Curran, M. A., & Craig, Z. R. (2018). Differentiating environmental concern in the context of psychological adaption to climate change. Global Environmental Change, 48, 158-167. https://doi.org/10.1016/j.gloenvcha.2017.11.012.

Hickman, C., Marks, E., Pihkala, P., Clayton, S., Lewandowski, E.R., Mayall, E.E., ... & van Susteren, L. (2021). Climate anxiety in children and young people and their beliefs about government responses to climate change: A global survey. Lancet. Planetary Health5, E863-E873. doi:10.1111/camh.12529.

Higginbotham, N., Connor, L., Albrecht, G., Freeman, S., & Agho, K. (2006). Validation of an Environmental Distress Scale. EcoHealth, 3(4), 245-254. https://doi.org/10.1007/s10393-006-0069-x.

Innocenti, M., Santarelli, G., Faggi, V., Castellini, G., Manelli, I., Magrini, G., Galassi, F., & Ricca, V. (2021). Psychometric properties of the Italian version of the Climate Change Anxiety Scale. The Journal of Climate Change and Health, 3, 100080. https://doi.org/10.1016/j.joclim.2021.100080.

Jang, S. J., Chung, S. J., & Lee, H. (2023). Validation of the Climate Change Anxiety Scale for Korean Adults. Perspectives in Psychiatric Care, 2023, 9718834. https://doi.org/10.1155/2023/9718834.

Larionow, P., Sołtys, M., Izdebski, P., Mudło-Głagolska, K., Golonka, J., Demski, M., & Rosińska, M. (2022). Climate Change Anxiety Assessment: The Psychometric Properties of the Polish Version of the Climate Anxiety Scale. Frontiers in Psychology, 13.https://doi.org/10.3389/fpsyg.2022.870392.

Löwe, B., Wahl, I., Rose, M., Spitzer, C., Glaesmer, H., Wingenfeld, K., Schneider, A., & Brähler, E. (2010). A 4-item measure of depression and anxiety: Validation and standardization of the Patient Health Questionnaire-4 (PHQ-4) in the general population. Journal of Affective Disorders, 122(1), 86-95. https://doi.org/10.1016/j.jad.2009.06.019.

Löwe, B., Kroenke, K., & Gräfe, K. (2005). Detecting and monitoring depression with a two-item questionnaire (PHQ-2). Journal of Psychosomatic Research, 58(2), 163-171. https://doi.org/10.1016/j.jpsychores.2004.09.006.

Morrison, T. H., Adger, W. N., Agrawal, A., Brown, K., Hornsey, M. J., Hughes, T. P., Jain, M., Lemos, M. C., McHugh, L. H., O’Neill, S., & Van Berkel, D. (2022). Radical interventions for climate-impacted systems. Nature Climate Change, 12(12), 1100-1106. https://doi.org/10.1038/s41558-022-01542-y.

Mouguiama-Daouda, C., Blanchard, M. A., Coussement, C., & Heeren, A. (2022). On the Measurement of Climate Change Anxiety: French Validation of the Climate Anxiety Scale. Psychologica Belgica62(1), 123-135. https://doi.org/10.5334/pb.1137.

Nadeau, K. C., Agache, I., Jutel, M., Annesi Maesano, I., Akdis, M., Sampath, V., D’Amato, G., Cecchi, L., Traidl-Hoffmann, C., & Akdis, C. A. (2022). Climate change: A call to action for the United Nations. Allergy, 77(4), 1087-1090. https://doi.org/10.1111/all.15079.

Palinkas, L. A., & Wong, M. (2020). Global climate change and mental health. Current Opinion in Psychology, 32, 12-16. https://doi.org/10.1016/j.copsyc.2019.06.023.

Simon, P. D., Pakingan, K. A., & Aruta, J. J. B. R. (2022). Measurement of climate change anxiety and its mediating effect between experience of climate change and mitigation actions of Filipino youth. Educational and Developmental Psychologist, 39(1), 17-27. https://doi.org/10.1080/20590776.2022.2037390.

Stewart, A. E. (2021). Psychometric Properties of the Climate Change Worry Scale. International Journal of Environmental Research and Public Health, 18(2), 494. https://www.mdpi.com/1660-4601/18/2/494.

Tabachnick, B. G., & Fidell, L. S. (2007). Experimental designs using ANOVA (Vol. 724). Pacific Grove, CA, Thomson/Brooks/Cole.

Tam, K.-P., Chan, H.-W., & Clayton, S. (2023). Climate change anxiety in China, India, Japan, and the United States. Journal of Environmental Psychology, 87, 101991. https://doi.org/10.1016/j.jenvp.2023.101991.

Terraciano, A., McCrae, R. R., & Costa Jr, P. T. (2003). Factorial and construct validity of the Italian Positive and Negative Affect Schedule (PANAS). European Journal of Psychological Assessment19(2), 131-141. https://doi.org/10.1027/1015-5759.19.2.131.

Usher, K., Durkin, J., & Bhullar, N. (2019). Eco-anxiety: How thinking about climate change-related environmental decline is affecting our mental health. International Journal of Mental Health Nursing, 28(6), 1233-1234. https://doi.org/https://doi.org/10.1111/inm.12673.

Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology54(6), 1063-1070. https://doi.org/10.1037//0022-3514.54.6.1063.

Wullenkord, M. C., Tröger, J., Hamann, K. R. S., Loy, L. S., & Reese, G. (2021). Anxiety and climate change: a validation of the Climate Anxiety Scale in a German-speaking quota sample and an investigation of psychological correlates. Climatic Change, 168(3), 20. https://doi.org/10.1007/s10584-021-03234-6.


1 Dipartimento di Formazione, Lingue, Intercultura, Letterature e Psicologia (Sezione di Psicologia), Università degli Studi di Firenze, Firenze, Italia.

2 Ricercatore in THE-Ecosistema Sanitario Toscano NextGeneration UE-NRRP, Dipartimento di Scienze dell’Educazione, Lingue, Intercultura, Letteratura e Psicologia (Sezione Psicologia), Università degli Studi di Firenze, Firenze, Italia.

3 Department of Education, Languages, Intercultures, Literatures and Psychology (Psychology Section), University of Florence, Florence, Italy.

4 Resercher in THE-Tuscany Health Ecosystem NextGeneration UE-NRRP, Department of Education, Languages, Intercultures, Literatures and Psychology (Psychology Section), University of Florence, Florence, Italy.

Vol. 16, Issue 2, June 2023

 

Indietro